Claude Code Skills · page 96

Draft a professional agency proposal or pitch document for a prospective client — executive summary, situation analysis, scope of services with a deliverables matrix, KPI targets with baselines and stretch goals, 2-3 pricing options, team bio structure, case-study placeholders, terms outline, and next steps, written from the agency's perspective. Triggers on \"/digital-marketing-pro:client-proposal\", \"write a proposal for this prospect\", \"scope of work for a 6-month retainer\", \"respond to this RFP\", \"pitch deck outline with pricing tiers\". Loads the agency's own brand profile (not the client's), plus custom templates and agency SOPs; industry benchmarks inform the KPI and pricing sections.

Generate a white-labeled client report in agency voice — weekly pulse, monthly review, or QBR — with a KPI scorecard vs targets and comparison period, channel breakdowns, top wins with attribution, root-cause analysis of misses, 3-5 strategic recommendations, and budget efficiency. Requires explicit approval before any external send; only then can it deliver via connected Slack, email, or Google Sheets MCPs and log the delivery. Triggers on \"/digital-marketing-pro:client-report\", \"prepare the monthly report for the client\", \"build the QBR for this account\", \"send the weekly performance pulse\", \"white-labeled performance report\". Reads the brand profile and pulls data via campaign-tracker.py, execution-tracker.py, and connected platform MCPs; formats via report-generator.py.

Produce the Part 5 Client Validation Document — the one true stop of the 12-Part engagement where unbiased v1 findings from Parts 2-4 are compiled into 12-25 evidence-cited finding blocks, each awaiting an ACCEPT / REJECT / EDIT / DEFER client decision, plus a paired JSON response template. Recorded responses feed the Part 6 Decision Matrix (engagement-state.py) to determine v2 re-runs. Triggers on \"/digital-marketing-pro:client-validation-document\", \"prepare v1 findings for client review\", \"run part 5 client validation\", \"the one true stop\", \"record the client's validation responses\". Requires Parts 3-4 marked completed in _engagement.json; reads the eight v1 core documents; pairs with /digital-marketing-pro:engagement-workflow and /digital-marketing-pro:four-core-documents.

Segment customers into cohorts — by acquisition period, channel, first behavior, or revenue tier — and produce a color-coded retention matrix, overlaid retention curves, LTV-by-cohort comparisons with LTV:CAC where cost data exists, best/worst cohort rankings with hypothesized drivers, stabilization-point analysis, and intervention recommendations for underperformers. Analyzes and recommends; it launches nothing. Triggers on \"/digital-marketing-pro:cohort-analysis\", \"are newer customers retaining better than older ones\", \"which channel produces the highest-LTV customers\", \"build a retention matrix\", \"when does our churn stabilize\". Pulls customer data from connected CRM and analytics MCPs, reads the brand profile for business-model context, and saves the summary as a campaign-tracker.py insight for trend tracking.

Configure a tiered competitor alert system — per-competitor trigger thresholds across content, pricing, ads, social, ranking, and SERP changes, with critical/warning/info urgency routing, digest batching, and alert-fatigue guardrails — then send test alerts to verify Slack or email delivery. Triggers on \"/digital-marketing-pro:competitor-alerts\", \"alert me when a competitor changes pricing\", \"set up competitor alerts\", \"too many competitor notifications\", \"tell me when competitors launch new ads\". Requires baselines from /digital-marketing-pro:competitor-monitor and persists config via competitor-tracker.py; reads the brand profile for competitive context.

Set up ongoing competitor monitoring — captures per-competitor baselines across content, pricing, ads, social, SEO, and SERP features, saves them via competitor-tracker.py, configures per-dimension scan schedules and alert rules, and produces an initial competitive intelligence brief with threat rankings. Triggers on \"/digital-marketing-pro:competitor-monitor\", \"track our competitors over time\", \"watch competitor pricing pages\", \"set up competitor tracking\", \"detect when competitors change their site\". Baselines power /digital-marketing-pro:competitor-alerts and share-of-voice trends. Reads the brand profile for competitive landscape context.

Build competitor comparison and alternatives pages — X-vs-Y head-to-heads, alternatives-to-X lists, category roundups, and feature-matrix pages — delivering a 1,500+ word page template, comparison table, JSON-LD schema via schema-generator.py, keyword and title-tag targeting, an internal-linking plan, and fairness/accuracy guardrails. Triggers on \"/digital-marketing-pro:competitor-pages\", \"create a vs page\", \"build an alternatives page\", \"comparison page for our product\", \"best tools roundup for our category\". Produces page content and markup, not a live publish. Reads the brand profile and guidelines, especially restrictions on competitor mentions.

Guide the connection of a known MCP integration to the plugin — looks up the connector registry via connector-status.py, checks current status, and returns transport-specific setup steps (OAuth for HTTP connectors, env-var credentials plus the exact .mcp.json block for npx connectors), verification steps, and the skills each connector unlocks. Triggers on \"/digital-marketing-pro:connect\", \"connect Google Ads\", \"hook up Slack to the plugin\", \"set up the HubSpot integration\", \"how do I add Mailchimp\". Guidance and status checks only — the user adds credentials themselves; unknown or custom servers route to /digital-marketing-pro:add-integration.

Create a production-ready content brief a writer can execute without extra context — keyword map (primary, secondary, related questions), H2/H3 outline with key points and word-count targets, brand voice guidance, on-page SEO checklist, visual/media spec with AI-generation and C2PA provenance notes, and success metrics. Triggers on \"/digital-marketing-pro:content-brief\", \"write a brief for this topic\", \"brief a blog post on X\", \"what should this article cover\", \"outline and SEO requirements for a pillar page\". Preferred upstream of /digital-marketing-pro:content-engine. Reads the brand profile, guidelines, and compliance rules.

Generate a structured content calendar for a month, quarter, or custom range — topics mapped to platforms and publish dates, content-pillar and funnel-stage tags, repurposing chains from each core piece, SEO keyword targets, and owner assignments when team capacity is given. Triggers on \"/digital-marketing-pro:content-calendar\", \"plan next month's content\", \"build a quarterly editorial calendar\", \"what should we publish in March\", \"map our content pillars to a schedule\". Planning output only — it does not schedule or publish posts. Reads the brand profile, guidelines, and compliance rules for pillars and voice.

Scan the content library for decay — declining traffic, falling keyword positions, stale content, broken links, lost AI citations — scoring each URL 0-100 via creative-fatigue-predictor.py and ranking refreshes by recoverable revenue, with actionable refresh briefs and traffic-recovery estimates for top-priority tiers. Triggers on \"/digital-marketing-pro:content-decay-scan\", \"which content is losing traffic\", \"find stale content to refresh\", \"our blog traffic keeps dropping\", \"prioritize content refreshes\". Pulls performance data from Google Analytics/Search Console MCPs or exported CSVs; cross-reference causes with /digital-marketing-pro:seo-drift. Reads the brand profile for content strategy context.

When you want to pressure-test a potential new business, product, or side project against the serial-founder filter. Not \"marketing ideas for a product\" (that's marketing-skills:marketing-ideas) — this is \"should this business exist + can you win it.\" Runs the idea through a structured framework (problem, audience, wedge, monetization, moat, portfolio fit, distribution, energy fit, opportunity cost), checks domain availability via /domain, optionally triggers /deep-research for market validation, and outputs a viability brief: build / sleep on it / pass. Archives every idea to ~/.config/makerskills/business-brainstorm/archive/ so past work is searchable. Triggers on \"/business-brainstorm,\" \"/brainstorm,\" \"new business idea,\" \"should I build X,\" \"pressure test this idea,\" \"validate this idea,\" \"is X a good business,\" \"what about a [type] for [audience].\"

Your team's shared, AI-ready knowledge base — people, companies, meetings, SOPs, and decisions structured so Claude can answer questions on your team's behalf. Team-scope sibling to second-brain (which is personal-scope). Seven modes — capture (drop something into the right structured dir), compile (process into wiki pages, update INDEX.md), query (answer from the corpus with trust weighting, save to outputs/), review (triage queue — verify / deprecate / supersede unreviewed and stale captures so wrong info never becomes context), lint (orphans / stale / contradictions / gaps), connect (suggest new wikilinks), search (quick lookup). Structured raw dirs (people/, companies/, meetings/, sops/, decisions/, customer-language/, recurring-questions/, sales-objections/) instead of second-brain's flat type-prefixed raw/. Multi-author aware — every capture stamps author + timestamp + trust status. Optional auto-sync from Fathom/Gong/Granola call transcripts, Slack/email exports, CRM. Defaults to a vault at ${COMPANY_BRAIN_VAULT:-$HOME/Documents/CompanyBrain}/. Triggers on "/company-brain," "/cb," "capture this into the team brain," "log this meeting," "add this person to the team brain," "save this SOP," "compile the company wiki," "query the team brain," "what does the team know about X," "review the company brain," "cull the team brain," "lint the company brain," "who's the internal expert on X.

Monthly CFO workflow for a company or agency — pull raw data from bank + payment processor + payroll + expense management, categorize and reconcile, compute end-of-month cash via transaction-sum method, update a scenario projector for forward forecasting, write the monthly snapshot report, surface decisions to leadership. Modes — monthly (default; the standing report), weekly (thin cash pulse), scenario (ad-hoc modeling in the projector), pickup (resume where the prior run left off). Anonymized team-scope sibling to personal-cfo (which handles personal household finances). Composes with company-brain (report gets stored + wiki-indexed there), toolify (wire company-specific data sources), loopify (schedule the monthly + weekly runs). Triggers on "/company-cfo," "/cfo," "monthly cash report," "do the CFO snapshot," "CFO monthly," "let's run CFO," "cash projection," "runway forecast," "monthly financials," "cash pulse.

When you have a decision to make and want a structured workflow that picks the load-bearing questions, walks through them, reaches a call (or "wait"), and archives the rationale for future reference. Based on the 37signals Guide to Making Decisions (38 questions) plus house additions like Q39 opportunity cost ("what does saying yes displace?"). Triages to 6–8 relevant questions per decision instead of forcing the full set. Archives every decision to ~/.config/makerskills/decide/archive/ with a revisit date so you can check later whether the call was right. Triggers on "/decide," "help me decide," "should I [X]," "I need to make a decision about," "stuck on a decision," "deciding between," "go/no-go on," "what should I do about." This is both the decision-making workflow AND the decision log — making the decision is the act of logging it.

When you want multi-source, multi-step research on a topic — competitor research before a sales call, market research for a new business idea, positioning angles, due diligence on a partnership or podcast guest, tech decision research (which DB, which auth), or any \"I need to actually understand X.\" Combines WebSearch, WebFetch, agent-browser, /last30days (Reddit/X/YouTube/HN/web recency), memory, and Notion. Outputs a structured brief with citations, contradictions, gaps, and recommended next steps. Archives every research run to ~/.config/makerskills/deep-research/archive/ so past work is searchable. Triggers on \"/deep-research,\" \"research X,\" \"investigate X,\" \"do a deep dive on X,\" \"look into X,\" \"what's actually happening with X,\" \"due diligence on X,\" \"validate this market.\" Differs from a one-shot WebSearch: this is multi-pass with verification.

When you want to brainstorm and check available .com domains for a new project — brand naming, aftermarket pricing (HugeDomains / Afternic / Sedo / Dan), USPTO trademark screening, and social handle availability. Built on Laura Roeder's \"work backwards from availability, not from a name you fell in love with\" methodology. Uses Vercel CLI + whois + Domainr API + Namecheap API + agent-browser for the pieces each tool actually reliably supports (multi-tool ensemble because no single tool covers everything cleanly). 11-step workflow: budget → brainstorm → primary availability check → whois cross-check → Domainr aggregation → Namecheap price → aftermarket sweep (+ liveness probe for parked/dead domains, drop-watch for expiring ones) → bucket → negotiate → NAME research (trademark + socials) → buy. Triggers on \"/domain,\" \"find a domain,\" \"check domain availability,\" \"brainstorm a domain,\" \"what .com is available for X,\" \"domain hunt,\" \"name my project,\" \"is X.com available,\" \"aftermarket price on X.com,\" \"trademark check for X.\"

Gary Vaynerchuk's jab-jab-jab-right-hook framework applied to a personal portfolio rotation on X and LinkedIn. Jabs = build-in-public + educational (value). Hooks = promo (the ask). Each property in the user's configured portfolio (see `~/.config/makerskills/jab-hook/properties.yaml`) gets a hook at least once every ~3 weeks; jabs fill the rest. Drafts go into the user's Typefully workspace via MCP. Modes — plan (7-day plan), pick-next (single post), audit (coverage report), draft (specific post). Triggers on "/jab-hook," "what should I post," "plan my socials," "next promo," "next jab," "next hook," "social rotation," "promote [property]," "BIP post," "audit my socials," "what haven't I posted about.

When you want to set up an agent loop, cron-scheduled task, or recurring workflow that runs autonomously in Claude Code. Judgment layer on top of ScheduleWakeup, CronCreate, and the /loop skill — decides whether to use dynamic pacing (self-scheduling wake-ups), cron scheduling (fixed intervals), or a one-shot loop; tunes delay to avoid the 5-minute cache-miss cliff; designs idempotent loop bodies; sets bail-out conditions so loops don't run forever. Examples of loops to loopify — weekly review pulse, daily brief generation, hourly monitoring of a metric, periodic vault compilation, upstream-check for an adapted skill, sponsorship-pipeline refresh, YouTube-transcript-batch-download, morning startup routine. Triggers on "/loopify," "set up a loop," "schedule this task," "run this daily," "run this weekly," "cron this," "make this recurring," "automate this on a schedule," "keep this running until X." Part of the -ify trifecta (skillify / toolify / loopify) for extending Claude Code. NOT for authoring a new skill — that's skillify. NOT for adding a tool/integration — that's toolify.

When you want multiple expert perspectives on a founder/operator question — a simulated personal board of advisors staffed by legendary founders, CEOs, and operators (Jason Fried, Elon Musk, Jeff Bezos, Jensen Huang, Bob Iger, Paul Graham, Naval Ravikant, Sara Blakely). Bring a real decision — \"should I raise prices?\", \"hire my first employee?\", \"raise or bootstrap?\", \"kill this project?\" — and the council weighs in through their documented frameworks, surfaces where they disagree, and synthesizes a recommendation. Also use when the user mentions 'maker council,' 'board of advisors,' 'what would Bezos do,' 'what would Jason Fried say,' 'channel Naval,' 'ask the council,' 'get multiple perspectives on this decision,' or asks how a famous founder would approach their problem. Optional live-research pass grounds takes in what each member has actually said (via deep-research / watch-video / last30days). Sibling of marketing-skills' marketing-council (marketing questions go there; company-building and operator questions come here). Archives sessions to ~/.config/makerskills/maker-council/archive/. For committing to one of the surfaced directions, hand off to decide.

When you want to clean and reformat content (usually from your terminal) for pasting into Slack, Notion, Twitter/X, LinkedIn, email, GitHub, or plain text. Strips ANSI codes, box-drawing chars, terminal prompt artifacts, and applies destination-specific formatting. Default input is the clipboard (read via `pbpaste`); default output is both the clipboard (`pbcopy`) and a chat preview. Triggers on "/paste", "/paste [destination]", "clean this for X," "format for slack/notion/twitter/linkedin/email/github," "render as markdown," "paste-ready," "strip formatting," "make this copy-pastable." Default destination is plain. Also scans for secrets (API keys, tokens, .env values) and warns before copying anything sensitive.

When you want to model personal financial scenarios — house purchase + rental income (ADU, bedroom rentals, house-hacking), renovation budgets, monthly cash flow forecasts, big-purchase decisions, savings/investment what-ifs. For personal life: a household (you + partner), household budgets, real-estate decisions. v0.1 ships with the house scenario template (purchase + rental scenarios) as the first use case. Architected so other personal-finance scenarios (refi, car, education, retirement, side income) slot in as additional templates. Outputs scenario comparison tables in markdown. Saves every scenario to ~/Documents/personal-cfo/ with an index at ~/.config/makerskills/personal-cfo/archive/ for revisit + comparison. Composes with decide (formalize the call after modeling), deep-research (rental comps, mortgage rates, market data), business-brainstorm (when the scenario is a small business / side hustle), second-brain (capture the analysis to outputs/). Triggers on \"/personal-cfo,\" \"model this scenario,\" \"house math,\" \"rental forecast,\" \"monthly cash flow,\" \"what if I rent out the ADU,\" \"compare these housing scenarios,\" \"should we buy this house,\" \"house-hack math,\" \"renovation budget.\"

When you want to manage projects across your businesses using a kanban + Eisenhower methodology. One kanban per business (whatever portfolio of businesses, projects, or initiatives you run). Tool-agnostic — connects via API/MCP to whatever PM tool each business uses (Notion, GitHub Projects, Plane, Linear, Obsidian file-based, or manual mode). Async-first output. Six modes — setup (scaffold a new board for a business), triage (Eisenhower-sort the backlog), next (pick the next thing to work on, single board or across all), status (paste-ready async snapshot), unblock (diagnose Review/Blocked column), weekly (Friday pulse + week planning). Triggers on "/pm," "/pm setup," "/pm triage," "/pm next," "/pm status," "/pm unblock," "/pm weekly," "what should I work on next," "kanban status," "Eisenhower this," "triage my backlog," "what's blocked.

When you want to read and extract structured notes from a book — PDF, EPUB, MOBI, markdown, .txt, pasted text, or URL to a public-domain work. Reads in chunks (by chapter when a TOC exists, by 50-page blocks otherwise), extracts per-chapter TL;DR + key concepts + quotes + action items + frameworks, and offers to capture to second-brain raw/ as a highlights- file. Four modes — notes (default, chapter-by-chapter), summary (whole-book TL;DR + 3–5 takeaways), quotes (pull-quote highlights only), study (notes + Q&A spaced-rep prep). Triggers on "/read-book," "read this book," "extract notes from this PDF," "what's in this book," "summarize this ebook," "pull quotes from this." Sibling to watch-video (same content-consumption pattern, different medium).

When you want to capture into, compile, query, lint, or connect your personal Second Brain. Wraps the Karpathy LLM Wiki schema (Obsidian or any markdown vault) — raw/ (unprocessed sources), wiki/ (AI-compiled interlinked topic pages), outputs/ (generated artifacts). Tool-agnostic in design but defaults to a vault at ${SECOND_BRAIN_VAULT:-$HOME/Documents/SecondBrain}/. Six modes — capture (drop something into raw/), compile (process unprocessed raw files into wiki pages, update INDEX.md), query (answer a question from the wiki, save to outputs/), lint (orphans / contradictions / stale / unprocessed raw / topic gaps), connect (suggest new wikilinks between pages), search (quick lookup). Triggers on "/second-brain," "/sb," "capture this," "save this to my brain," "compile the wiki," "process raw notes," "query my wiki," "ask my brain," "lint the wiki," "find connections," "search my notes." Complements deep-research (external corpus) — this is the internal corpus.

When you want to create, adapt, or update a Claude Code skill in one of your sibling repos (list your own repos in ~/.config/makerskills/skillify/repos.yaml; defaults to makerskills). Routes to the right mode automatically. Modes — CREATE (from-chat / from-video / from-dump / from-scratch) turns a workflow, brief, recording, or fresh idea into a new skill. ADAPT ports an external skill (GitHub URL, agentskills.io, local disk) into your namespace with three-bucket classification (keep/adapt/add) + license check + attribution. UPDATE improves existing skills from learnings with cross-skill propagation, memory-vs-skill triage, and semver discipline. Defers to Anthropic's guidance (compound-engineering:create-agent-skill, compound-engineering:skill-creator, compound-engineering:heal-skill) for schema and best-practice depth. Triggers on "/skillify," "create a skill," "make this a skill," "skill from this chat," "extract a skill from what we've been doing," "adapt this skill," "port this skill," "fork this skill," "borrow this skill," "update X skill," "apply this to the relevant skills," "propagate this learning," "improve [skill]," "fix [skill]," "iterate on [skill]." Part of the -ify trifecta (skillify / toolify / loopify) for extending Claude Code.

When you want to draft, update, convert, or export a slide deck for a React/Next.js slide system (${SLIDE_DECK_REPO:-$HOME/code/your-slide-deck-site}/src/app/slides/). Writes TypeScript Slide[] arrays using your primitives (Eyebrow, Heading, Accent, Body, BulletList, Divider, TwoCol, GradientText), 12 cycling brand gradients, optional sections for "where am I" context, and speaker notes. Inspired by zarazhangrui/frontend-slides — "show, don't tell" applied to narrative (presents 3 angles, you pick) plus density modes (speaker-led vs reading-first). Four modes — new (draft from brief), update (modify existing, with overflow guards), ppt (convert legacy PPTX → React deck), export (Playwright snapshot existing React deck to standalone HTML, PDF, or Vercel URL — keeps brand). Triggers on "/slide-deck," "/slides new," "/slides export," "/slides update," "/slides ppt," "draft a deck," "deck for [topic]," "talk on [topic]," "keynote on [topic]," "internal deck for [audience]," "convert this pptx," "export this deck.

When you or another skill needs to fetch the content of a social media post by URL — tweet, X thread, LinkedIn post, Instagram post, TikTok video, Bluesky post, Reddit thread, Mastodon status, Threads post, Hacker News thread. Returns normalized structured data (author, posted_at, text, engagement counts, media URLs, replies if requested) regardless of platform. Tries strategies in order: direct API (Bluesky, Mastodon, HN, Reddit), agent-browser with modal dismissal (LinkedIn, X preview), Wayback Machine (older posts), paid APIs (ScrapeCreators / Apify — only if env keys present). Triggers on \"/social-fetch <url>,\" \"fetch this tweet,\" \"fetch this post,\" \"what does this LinkedIn say,\" \"read this thread,\" \"pull this post.\" Used by deep-research (citing specific posts), jab-hook (inspiration account analysis), business-brainstorm (competitor / operator commentary).

When you want to integrate an external tool, API, MCP server, or service into a project — the wizard walks you through auth, config, env vars, client wrapper code, example usage, and (optionally) a smoke-test. Scoped to Next.js and Rails projects (the two primary stacks). Interactive Q&A pattern — starts with the tool name, asks structured questions until the integration is fully specified, then scaffolds files. Examples of tools to toolify — Stripe, Kit, Sanity, Notion, Neon, Supabase, Fathom, Rewardful, SavvyCal, Riverside, ScrapeCreators, Anthropic, OpenAI, Gemini, Twilio, Resend, Postmark, Vercel Blob, custom internal APIs. For MCP servers specifically, also handles the .mcp.json wiring. Triggers on "/toolify," "integrate X," "add X to this project," "wire up X," "set up the X integration," "hook up X," "connect X," "add MCP for X." Part of the -ify trifecta (skillify / toolify / loopify) for extending Claude Code. NOT for adding new SKILL.md files — that's skillify. NOT for cron/agent loops — that's loopify.

When a solution seems impossible and the path forward is blocked — the antidote to any roadblock or wall. Refuses to take no for an answer: classifies what kind of \"no\" you actually hit, then runs targeted lateral-thinking techniques (assumption autopsy, inversion, first principles, constraint toggling, analogical transfer, and more from a 10-technique inventory) until the wall cracks or is proven load-bearing. Generates a minimum of 10 angles before evaluating any. AGENTS: use this on yourself mid-task — when an API doesn't support what you need, an approach has failed twice, or a \"that's not possible\" / \"the only option is\" sentence is forming in your response, run the fast path BEFORE reporting a dead end; every dead-end report should arrive with tried-angles receipts. Archives every wall to ~/.config/makerskills/unstuck/archive/ so you learn which techniques crack YOUR walls. Sits upstream of decide: turns \"impossible\" into 2–3 viable angles, then decide picks one. Triggers on \"/unstuck,\" \"I'm stuck,\" \"this seems impossible,\" \"we hit a wall,\" \"there's no way to,\" \"they said no,\" \"dead end,\" \"out of options,\" \"I've tried everything,\" \"work around this,\" \"think outside the box.\"

When you want to extract content from a video — YouTube, Loom, Vimeo, Riverside, Zoom recording, local MP4, X/IG video, anything yt-dlp supports. Three depth modes user picks per invocation — transcript (just words, fast/free), visual (transcript + ffmpeg frame extraction + Claude vision pass on key moments), multimodal (Gemini native video ingestion if $GEMINI_API_KEY set, else dense Claude vision). Uses MLX-Whisper local on Mac for transcription, falls back to platform-provided transcripts when available (Loom, Riverside, YouTube auto-subs). Saves to ~/Documents/videos/<source>-<slug>-<date>/ and optionally captures summary to second-brain raw/ as call-/meeting-/note-. Triggers on "/watch-video <url>," "watch this video," "transcribe this loom," "analyze this video," "summarize this recording," "key moments from this," "what happened in this video." This skill replaces and broadens the prior youtube-transcript skill.

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

FastAPI best practices and conventions. Use when working with FastAPI APIs and Pydantic models for them. Keeps FastAPI code clean and up to date with the latest features and patterns, updated with new versions. Write new code or refactor and update old code.

Generate a Product Requirements Document (PRD) for a new feature. Use when planning a feature, starting a new project, or when asked to create a PRD. Triggers on: create a prd, write prd for, plan this feature, requirements for, spec out.

Convert PRDs to prd.json format for the Ralph autonomous agent system. Use when you have an existing PRD and need to convert it to Ralph's JSON format. Triggers on: convert this prd, turn this into ralph format, create prd.json from this, ralph json.

Sync AI coding tool instruction files (CLAUDE.md, GEMINI.md, AGENTS.md) so they stay aligned. Detects which file changed and copies it to the others. Use when syncing md files, syncing instructions, updating GEMINI.md, or updating AGENTS.md.

Update public API reference docs to match Python source code. Compares client.py, schema files, and config models against MDX docs and fixes any gaps. Triggers on: update docs, sync docs, update public docs, update api reference, refresh documentation.

Git commit workflow with precommit hook handling, lint/type checking, README updates, and API reference updates. Use when the user wants to commit changes. Handles precommit hooks that modify files (formatting, linting) by re-staging and retrying. Runs ruff lint and pyright type checks on staged Python files, and Biome lint and tsc type checks on staged TS/JS files, fixing all errors. Fixes failing unit tests automatically before committing. Updates README code maps if needed. Updates API reference docs when client.py or service_schemas.py changed. Does not push.

Create high-quality pull requests via gh pr create. Use when the user wants to create a PR, submit a PR, open a pull request, submit for review, or push changes for review. Triggers on: create a pr, create-pr, submit a pr, open a pull request, submit for review, make a pr, gh pr create.

Rigorous code review of all uncommitted changes. Analyzes architecture, code quality, security, and engineering best practices. Embeds questions and assumptions inline, then summarizes all proposed changes as a plan for user approval before any edits are made.

Start all local services (backend, frontend, docs) with dependency checking, error diagnosis, and automatic recovery. Handles missing npm/python packages, port conflicts, and stale processes.

Update an existing pull request with new changes. Use when the user wants to update a PR, push follow-up changes to a PR, refresh a PR description, or sync a PR with latest commits. Triggers on: update pr, update-pr, update the pr, push to pr, refresh pr, sync pr, update pull request.

Codex-only — use when the user asks to run claude-smart commands in Codex, including claude-smart show, learn, restart, dashboard, clear-all, or slash-like requests such as /claude-smart:learn. In Claude Code the native plugin slash commands handle these; do not invoke this skill there.

Digital forensics and incident response toolbox. Load when the operator asks about a pcap, a binary, a memory dump, a suspicious file, malware triage, IOC hunting, or post-incident analysis. Covers network (tshark), binaries (radare2, strings, binwalk, file, exiftool), memory (volatility), and pattern matching (YARA). All commands assume the artifact is local and disposable; never analyze in-place on a production system.

Passive reconnaissance against a target without sending traffic that could alert it. Load when the engagement starts, when you only know a domain/email/username, when scope is unclear, or when you need historical surface area. Covers subdomain enumeration (crt.sh, subfinder), historical archives (wayback), DNS posture (dnsrecon), email & breach surface (theharvester, holehe), and username reuse (sherlock). All commands are free and key-less.

Direct game art and creative vision. Turn GAME_DESIGN into a production-level ART_DIRECTION defining a recognizable visual style, camera and composition, world and character grammar, functional colour/light/material, HUD feedback, motion and transition specs, audio direction, and a signature moment for every screen and mode. Use for what should the game look like, set the art direction, define the visual style. 游戏美术与创意方向。把 GAME_DESIGN 转成策划级 ART_DIRECTION，定义可辨识视觉风格、镜头构图、世界与角色语法、功能性色光材质、界面反馈、运动与转场规格、声音方向和每个界面/模式的签名游戏时刻。用于判断游戏应该长什么样、制定游戏美术方向等需求。

Build a risk-matched whitebox or the approved production game for its target runtime. Turn GAME_DESIGN, and ART_DIRECTION when production begins, into a minimal BUILD_BRIEF and a runnable candidate that can be iterated with replayable evidence. Use for prototype the riskiest design question, implement the approved game design, or turn this design into a running game. 游戏构建执行。先按最大风险做白盒，或在正式生产时把批准后的 GAME_DESIGN 与 ART_DIRECTION 压缩成最小 BUILD_BRIEF，在目标运行环境中实现可运行候选并用可回放证据迭代。用于验证高风险设计问题、构建游戏原型或实现批准方案。

Design game concepts from a novel. From SOURCE_BIBLE and PRODUCT_BRIEF, generate three genuinely different directions on the dimensions still unlocked, then pick the most worthwhile playable prototype using hard vetoes and explicit trade-offs. Use for what game should this novel become, compare game concepts, choose a game direction for this book, decide whether this novel should become an interactive story. 小说游戏概念设计。根据 SOURCE_BIBLE 与 PRODUCT_BRIEF 在未锁定维度上生成三个真正不同的方案，用硬否决和关键取舍选择最值得做的可玩原型。用于判断小说适合做成什么游戏、该不该做成互动叙事、比较游戏方案等需求。

Verify a game with evidence on its selected target runtime. Launch the actual build and prove real rendering, input, the core loop, at least one designed outcome, restart, and explicit limitations without dressing subjective fun up as a certain verdict. Use for test a generated game, QA a game build, check whether the game is fully playable, or verify the build. 游戏证据化质量验证。在选定的目标运行环境中启动实际构建，证明真实渲染、输入、核心循环、至少一个设计结果、重开和明确限制，不把主观趣味包装成确定性结论。用于测试生成游戏、检查游戏能否完整游玩或验证构建。

Design game experience, systems, and levels. Converge the chosen concept into one GAME_DESIGN defining the player promise, core loop, how the world responds, the systems actually needed, level pacing, feedback, failure, and a fully playable prototype. Use for design the game world, deepen the gameplay and levels, write the game design document, design the branching story structure, scenes, dialogue and consequences. 游戏体验、系统与关卡策划。把选定概念收束为一份 GAME_DESIGN，定义玩家承诺、核心循环、世界响应、必要系统、关卡节奏、反馈、失败和可完整游玩的原型。用于设计游戏世界、深化玩法和关卡、设计互动叙事的场景对白与分支因果等需求。

Deconstruct a novel for game adaptation. Compress a raw novel, deconstruction library, or writing project into a SOURCE_BIBLE with cited textual evidence, extracting world rules, player verbs, spaces, character will, systems, and visual anchors — without inventing a genre yet. Use for gameable book analysis, analyze a novel for game adaptation, extract game systems from a book. 游戏化拆书。把原始小说、拆文库或写作工程压缩成有必要原文证据的 SOURCE_BIBLE，提取世界规则、玩家动词、空间、角色意志、系统和视觉锚点，不提前发明游戏类型。用于游戏化拆书、分析小说的游戏改编基础等需求。

Turn a novel into a fully playable game on the selected target platform. Orchestrates the whole adaptation pipeline — requirements intake, gameable deconstruction, concept selection, world and visual design, target-runtime build, and evidence-based QA — for a novel in any language. Use for novel to game, story to game, book to game, adapt this novel into a game, turn this book into a playable prototype, make an interactive story or text adventure from this novel. NovelToGame 总入口。把任意语言的原始小说、拆文库或 oh-story 写作工程转成有原著依据、可在目标平台完整游玩的游戏，编排游戏化拆解、概念选择、游戏与视觉设计、目标运行环境构建和证据化质量验证。用于小说转游戏、把这本书做成游戏、把小说改成互动小说 / 互动叙事 / 文字冒险游戏等需求。

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Continuous security vulnerability scanning for OWASP Top 10, common vulnerabilities, and insecure patterns. Use when reviewing code, before deployments, or on file changes. Scans for SQL injection, XSS, secrets exposure, auth issues. Triggers on file changes, security mentions, deployment prep.

Automatic code quality and best practices analysis. Use proactively when files are modified, saved, or committed. Analyzes code style, patterns, potential bugs, and security basics. Triggers on file changes, git diff, code edits, quality mentions.

Generate conventional commit messages automatically. Use when user runs git commit, stages changes, or asks for commit message help. Analyzes git diff to create clear, descriptive conventional commit messages. Triggers on git commit, staged changes, commit message requests.

Automatically suggest tests for new functions and components. Use when new code is written, functions added, or user mentions testing. Creates test scaffolding with Jest, Vitest, Pytest patterns. Triggers on new functions, components, test requests, testing mentions.

Auto-generate API documentation from code and comments. Use when API endpoints change, or user mentions API docs. Creates OpenAPI/Swagger specs from code. Triggers on API file changes, documentation requests, endpoint additions.

Keep README files current with project changes. Use when project structure changes, features added, or setup instructions modified. Suggests README updates based on code changes. Triggers on significant project changes, new features, dependency changes.

Check dependencies for known vulnerabilities using npm audit, pip-audit, etc. Use when package.json or requirements.txt changes, or before deployments. Alerts on vulnerable dependencies. Triggers on dependency file changes, deployment prep, security mentions.

Detect exposed secrets, API keys, credentials, and tokens in code. Use before commits, on file saves, or when security is mentioned. Prevents accidental secret exposure. Triggers on file changes, git commits, security checks, .env file modifications.

Turn a photo of handwriting into a real installable font (TTF/WOFF/WOFF2). Use when the user shares a photo of handwritten letters and wants a font, asks to "make my font", "handwriting font", "turn my handwriting into a font", "font from this photo/image", asks for a handwriting font template, or wants to refine a font made earlier (smoother, thicker, fix a letter). Not for choosing, recommending, or identifying existing fonts - only for creating a font from the user's own handwriting.

Guide for running local E2E tests with API server, Docker lead/worker containers, task creation, log verification, UI dashboard, and cleanup

Close a GitHub or GitLab issue with a summary comment

Create a pull request (GitHub) or merge request (GitLab) from the current branch

Implement a GitHub issue or GitLab issue and create a PR/MR

Investigate and triage a Sentry error issue

Respond to a GitHub issue/PR or GitLab issue/MR

Review a task that has been offered to you and decide whether to accept or reject it

Review a pull request (GitHub) or merge request (GitLab) and provide detailed feedback

Start the Agent Swarm Leader

Start an Agent Swarm Worker

Effective communication within the agent swarm using internal Slack

Handle the agent personal todos.md file

How to manage the user registry — creating users for new Slack/GitHub/GitLab/Linear identities, managing aliases, resolving users across platforms. Use when a new human interacts with the swarm or when user identity needs updating.

Work on a specific task assigned to you in the agent swarm

Serve interactive web content (HTML pages, dashboards, approval flows, static reports, custom Hono apps) to a public URL via localtunnel. Use when the user asks to "create an artifact for X", "host this for me", "make me a tunneled URL", "spin up a web server for X", "publish this report so I can see it", "share this file/page publicly", "expose this dashboard", "give me a live link", or anything that needs a browser-reachable URL pointing at agent-generated content. Wraps the `agent-swarm artifact` CLI plus the `createArtifactServer` SDK; covers static directories, custom Hono apps, daemonization (nohup / PM2), HTTP Basic auth, and the in-page swarm Browser SDK.

Per-app playbook for driving Gmail through Composio (toolkit slug `gmail`). Verified GMAIL_* tool slugs and argument shapes for reading, searching, sending, drafts, labels, and threads. Use alongside the `composio` hub skill whenever a task reads or sends Gmail for a connected user. Covers the metadata-first reads, the GMAIL_SEND_EMAIL HTML flag, and reply-to-thread.

Per-app playbook for driving Google Calendar through Composio (toolkit slug `googlecalendar`). Verified GOOGLECALENDAR_* tool slugs and argument shapes for listing, finding, creating, and updating events plus free/busy. Use alongside the `composio` hub skill. CRITICAL — covers the "events from a year ago" trap: GOOGLECALENDAR_EVENTS_LIST has no default timeMin, so you MUST pass timeMin/orderBy/singleEvents to get upcoming events.

Per-app playbook for driving Google Docs through Composio (toolkit slug `googledocs`). Verified GOOGLEDOCS_* tool slugs and argument shapes for searching, reading plaintext, creating (incl. from markdown), and editing documents. Use alongside the `composio` hub skill whenever a task reads or writes Google Docs for a connected user.

Use Composio from Agent Swarm through the `agent-swarm x composio` CLI route, the `swarm_x` MCP tool, or a registered `ctx.api.composio` script connection. Trigger when a task needs connected third-party app tools such as Gmail, Google Calendar, Google Docs, Google Drive, GitHub, Slack, Notion, or HubSpot through Tool Router sessions, Connect Links, or connected accounts. This is the HUB skill — for Google apps see the sibling skills `composio-gmail`, `composio-google-calendar`, `composio-google-docs`.

Use the swarm KV store (Redis-like, namespaced) for cross-task / cross-session / per-page state. Auto-scoped to your context (Slack thread / PR / Linear issue / agent / page). Use for counters, cursors, page state. Do NOT use for secrets (`swarm_config`), embedded knowledge (`memory`), or files (`agent-fs`).

Canonical AgentMail send-message API reference for swarm agents. Pins the base URL, required field names, text-only rendering workaround, BCC policy, and ready-to-copy curl / swarm-script examples so agents do not rediscover the API surface at runtime.

Generic Attio CRM REST API v2 recipes for querying records, upserting companies/people/deals, writing notes/tasks/comments, managing lists, and handling webhooks.

How to interact with Kapso WhatsApp from the swarm — read inbound webhook payloads (text AND media), fetch message history, send free-form messages within the 24h session window (and template messages outside it), mark-as-read, show the typing indicator, send reactions, download media, verify webhook signatures, and resolve contacts to swarm users. Canonical reference for ANY Kapso interaction beyond the thin `send-whatsapp-message` / `reply-whatsapp-message` MCP tools — for templates, media, reactions, typing, mark-as-read, signature verify, contact resolution, conversation history, drop to the REST recipes here. Use whenever a task references a WhatsApp message routed through Kapso, or when a workflow needs to reply on WhatsApp.

Bulk, repeat, fan-out, or data-heavy work: write and run swarm scripts (inline `script-run`, named `script-upsert`, durable `launch-script-run`). Covers the script-vs-tool rubric, the authoring contract (`args` first, `ctx` second), the seed catalog, connections and secrets, `db_query`, and exposing a script as an API.

Guardrails for polling, scheduled jobs, and long-running external operations. Use whenever a task waits on CI, builds, deploys, browser jobs, or another asynchronous API so work survives heartbeat checks without duplicate delivery.

Web 视觉设计 SKILL。输入 PRD / 参考 URL / 截图 / 关键词（任意组合），先产出一份标准化 DESIGN.md 设计规范，用户确认后据此生成 UI/UX、视觉、动效、响应式全部达标的 web 代码。专攻 web 端：Landing Page、Portfolio、产品页、博客、个人站、SaaS 介绍页等。当用户说"帮我做个网站""设计一个页面""参考 XX 做一个""把这个截图/PRD 做成网页""做一个 landing page""出一份 design 规范"时触发。不用于后端、数据库、纯逻辑 bug 修复。

Frontend implementation skill for ima2 users. Use for any frontend, web UI, or visual implementation work — building, styling, or redesigning pages/components, responsive layouts, motion, component architecture, and production-surface polish. Pairs with ima2-uiux: load it first when design direction is vague; this skill implements the chosen direction. Triggers: 'frontend', 'UI', 'component', 'CSS', 'responsive', 'animation', 'React', 'Vue', 'Svelte', 'Tailwind', 'layout', 'styling', 'redesign', 'mockup', 'anti-slop', '프론트엔드', 'UI 작업', '반응형', '디자인 수정'.

Design direction discovery and UX judgment for ima2 users. Use for UI/UX direction and design judgment — vague visual briefs, onboarding, empty/error/loading states, layout vocabulary, typography breaks, favicons, logos, and brand identity choices. Pairs with ima2-front: this skill decides the design direction, then load ima2-front to implement it. Triggers: make it look good, modern, clean, aesthetic, onboarding, empty state, error state, favicon, logo, design system, 깔끔하게, 모던하게, 감성적으로.

Use the ima2-gen CLI/server to generate, edit, inspect, and manage local AI image generation jobs.

完成 Claude Code 中文本地化的首次增强安装——把 spinner/界面中文化配置合并进 settings.json、检测并同步 CC Switch 通用配置、提示重启让 CLI patch 生效。中文用户安装本插件后如发现 spinner 动词/提示仍是英文，或想完整启用中文化，请使用本 skill。

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Three-statement financial model for A-share stocks. Adapts the standard 3-statement-model methodology for Chinese accounting standards (CAS), Chinese GAAP differences, and AkShare-sourced financials. Use instead of the original 3-statement-model skill when building integrated IS/BS/CF models for Chinese listed companies.

Build accrual schedules for A-share fund administration. Tracks revenue recognition, expense accruals, and working capital timing for fund accounting. Adapted from the original accrual-schedule skill for fund accounting standards. Triggers on "基金应计项目", "应计计提基金", "accrual schedule fund", "NAV accruals", or "accruals [fund]".

Audit financial models and Excel workbooks for A-share analysis. Adapts the original audit-xls skill for Chinese financial modeling standards, CAS conventions, and A-share-specific checks. Triggers on "A股模型审计", "财务模型核查", "audit model China", "audit xlsx", "模型QC", or "check model [company]".

Forensic financial analysis for A-share fund holdings and portfolio companies. Adapts the original break-trace skill for fund administration context and Chinese market standards. Triggers on "基金持仓核查", "持仓异常", "forensic fund analysis China", "持仓质量分析", or "investigate [fund] holdings".