Skills de Claude Code · página 68

Turn a task you repeat every week into a reusable personal skill or prompt — so you say 'do this' instead of re-explaining it every time. Use when asked help me make a skill for, turn this repetitive task into a template, I do this every week, or create a reusable prompt for this. Produces a captured spec of the repetitive task (its inputs, steps, and what good output looks like), a reusable skill/prompt you can invoke by name, and guidance on saving and refining it — lowering the barrier from AI user to AI author, one weekly task at a time.

Decompose a north-star metric into a driver tree — the inputs and sub-inputs that actually move it — so a team knows which levers to pull. Use when asked to build a metric tree, break down a north-star metric, map metric drivers, or find the inputs behind an output metric. Produces a hierarchical tree from the top metric down to actionable input metrics, with the relationships, the highest-leverage levers, and what to instrument.

Build a metrics framework for any product, team, or business. Use when asked for a metrics tree, KPI framework, North Star metric, AARRR funnel, HEART framework, or OKR metrics. Produces a structured metrics hierarchy from North Star down to leading indicators, with measurement guidance.

Design a microservices decomposition for a monolith or new system, defining service boundaries, ownership, communication patterns, and migration plan. Use when asked to decompose a monolith, define service boundaries, design a microservices architecture, or plan a strangler-fig migration. Produces a bounded context map, service inventory table, communication pattern decisions, data ownership matrix, migration roadmap, and risk register.

Document a deployed ML/AI model so others can use it responsibly. Use when asked to write a model card, document a model's intended use and limitations, or prepare an AI model for review/launch. Produces a complete model card — intended use, training data, evaluation metrics across slices, limitations, ethical considerations, and a deployment checklist.

Write a monitoring setup guide for a service — defining what to measure, how to alert on it, and how to build the observability stack covering the four golden signals, business metrics, log strategy, distributed tracing, alerting rules, dashboard layout, and observability debt. Use when asked to set up monitoring for a service, define alerting strategy, write an observability plan, create a dashboard specification, or document logging standards for a team. Produces a metric definitions table, alert rules specification, dashboard layout wireframe, log schema, tracing setup checklist, and monitoring gap analysis.

Synthesises user signals from multiple research sources into a unified, weighted insight brief. Use when you have data from interviews, support tickets, NPS verbatims, app reviews, or sales calls and need to reconcile contradictions, surface the underlying need behind requests, or answer 'what are users really telling us'. Produces ranked insights with confidence ratings, source weighting rationale, divergent signal analysis by user segment, and a research gap identification section.

Write a full creator newsletter issue — subject line, preview text, hook, body with a clear takeaway, and a CTA — in the writer's voice, for Substack, beehiiv, ConvertKit, or email. Use when asked to write a newsletter, an email issue, a Substack post, or to turn notes/a topic into a sendable newsletter. Produces a ready-to-send issue with subject-line options and a skimmable structure. Distinct from B2B drip/nurture sequences.

Automates NotebookLM from Claude Code using browser automation via the Claude Chrome extension — creating notebooks, adding sources, and triggering outputs without manual clicking. Use when you want to create a NotebookLM notebook, add URLs or documents as sources, or generate mindmaps, audio overviews, or briefing docs programmatically. Produces a confirmed checklist of completed actions and a direct link to the notebook.

Write an on-call runbook for a service — covering alert definitions, escalation paths, common incident responses, and on-call handoff procedures. Use when asked to write an on-call guide, create alert runbooks, document escalation procedures, or prepare an on-call handoff document. Produces a structured on-call runbook with per-alert response procedures, escalation matrix, diagnostic commands, and handoff template.

Prepare for a 1:1 so it drives outcomes instead of becoming a status update. Use when asked to prep for a one-on-one, build a 1:1 agenda, prepare to talk to your manager (or a report), or raise something hard in a 1:1. Produces a focused 1:1 agenda — your top topics with the outcome you want for each, the asks, updates kept brief, and growth/feedback threads, tuned to direction (with your manager vs. with a report).

Define and document performance budgets for a web service or application. Use when asked to set performance targets, define SLOs for latency or throughput, establish Core Web Vitals targets, create a performance baseline, or document performance regression policy. Produces a structured performance budget covering key user journeys, Core Web Vitals, backend latency SLOs, measurement tooling, CI enforcement, and breach response process.

Audit a PowerPoint presentation for layout issues, text overflow, visual hierarchy problems, and consistency gaps. Use when asked to review a slide deck, check a presentation before a meeting, audit slides for layout problems, or QA a deck before sharing. Produces a slide-by-slide report with issues ranked by severity and specific fixes. Best used with Claude Opus 4.7 or newer for reliable slide-level vision analysis.

Write a clear, structured pull request description from a git diff, branch summary, or commit list. Use when asked to write a PR description, draft a pull request, or document code changes. Produces a description with summary, motivation, changes made, testing steps, and reviewer guidance.

Write a professional press release for any announcement. Use when asked to write a press release, media announcement, news release, or press statement. Produces a structured press release with headline, dateline, body, boilerplate, and media contact — ready to send to journalists.

Interpret product metrics against goals and surface actionable signals. Use when asked to analyse product health, review key metrics, investigate a performance issue, produce a health report, or assess product-market fit signals. Produces a structured health report with RAG status, trend analysis, root cause hypotheses, and prioritised actions.

Generate a comprehensive pre-launch, launch day, and post-launch checklist for any product release. Use when preparing for a product launch, feature release, or major update. Produces a role-assigned, tiered checklist covering engineering readiness, marketing and comms, support, and post-launch monitoring.

Maintain a durable, local markdown memory ('brain') of your product context, decisions, hypotheses, and stakeholders that other skills read from and write back to. Use when asked to set up a brain, ingest notes/artifacts into memory, recall what's known about a topic, log a decision with provenance, or run a weekly brain review. Produces a structured brain/ folder (knowledge, decisions, hypotheses, stakeholders, entities, source) with provenance-tagged facts, plus ingest/recall/record/review operations with approval-gated, append-only write-back.

Build a promotion case that proves you're already operating at the next level. Use when asked to write a promo packet/case, prepare for a promotion committee, or make the case for a level-up or title change. Produces a promotion packet — the level-up thesis, evidence mapped to each next-level competency, scope/impact highlights, peer-quote slots, and the gaps to close before submitting.

Build a Quarterly Business Review (QBR) deck structure and narrative for a customer account. Use when asked to prepare a QBR, business review meeting, executive review, or quarterly check-in with a customer. Produces a slide-by-slide QBR structure with talking points, metrics review, value narrative, and mutual next steps.

Design a Retrieval-Augmented Generation system end to end. Use when asked to design a RAG pipeline, a 'chat with your docs' feature, a knowledge assistant, or to debug why a RAG system gives wrong/ungrounded answers. Produces a RAG design doc — ingestion & chunking, embeddings & index, retrieval & reranking, the generation prompt, grounding/citations, evaluation, and failure modes with mitigations.

Stress-test a plan, strategy, PRD, or launch by simulating hostile expert personas who attack it from every angle. Use when asked to red-team, stress-test, pre-mortem, pressure-test, play devil's advocate, or find the blind spots in a plan before committing. Produces a per-persona critique, a ranked list of the most dangerous risks, a pre-mortem, and the specific changes that would most strengthen the plan.

Build a structured renewal playbook for a customer account. Use when asked to plan a renewal, structure a renewal negotiation, prepare for an expansion conversation, or build a renewal strategy for at-risk or healthy accounts. Produces a renewal brief with health assessment, negotiation strategy, objection responses, expansion levers, and a timeline.

Structure a retention analysis, churn investigation, or engagement deep-dive for any product team. Use when asked to analyse user retention, investigate churn, measure DAU/MAU, or build a retention improvement plan. Produces a retention snapshot with root cause hypotheses, aha-moment correlation, and prioritised interventions.

Analyses sprint delivery data and produces a structured retrospective brief. Use when asked to run a retrospective, analyse sprint data, prepare a retro brief, or turn sprint metrics into discussion prompts. Produces a data-grounded retrospective brief with completion stats, pattern analysis, Start/Stop/Continue prompts, and one concrete experiment for next sprint.

Write an engineering RFC (Request for Comments) for a technical decision, architectural change, or significant implementation approach. Use when asked to write an RFC, document a technical proposal, create a design doc, write an architecture decision for review, or produce a technical specification for team feedback. Produces a complete RFC document covering problem statement, motivation, proposed solution, alternatives rejected, implementation plan, migration plan, security and performance implications, observability changes, rollout plan, and open questions.

Route a fuzzy request to the right skill in this library. Use when the user is unsure which skill fits, asks 'which skill should I use for X', describes a task without naming a skill, or when a request could plausibly match several skills. Produces a best-fit recommendation with the inputs to gather, a runner-up with the tie-breaker, and a workflow recipe when the job spans multiple skills.

Write an operational runbook for a service, incident type, or deployment procedure. Use when asked to write a runbook, create an ops guide, document an operational procedure, or prepare an incident response playbook. Produces a runbook with overview, prerequisites, step-by-step procedures, rollback steps, troubleshooting table, and escalation paths.

Plan a compensation negotiation grounded in numbers and leverage, not nerves. Use when asked to negotiate salary, evaluate or counter a job offer, prepare for a comp conversation, or compare offers. Produces a negotiation plan — total-comp comparison across offers, your target/walk-away and BATNA, the value-based justification, the counter scripts, and what to negotiate beyond base.

Write a STRIDE-based threat model for a service or feature. Use when asked to produce a threat model, document security risks, identify attack vectors, assess a service's security posture, or prepare for a security design review. Produces a structured threat model covering assets, trust boundaries, STRIDE threat enumeration per component, risk scores, mitigation controls, and residual risk sign-off.

Write a performance self-review that's specific, evidenced, and balanced. Use when asked to write a self-review, self-assessment, or self-evaluation for a performance cycle. Produces a complete self-review — accomplishments mapped to impact and competencies, growth areas owned honestly, and a forward-looking development plan, in the voice of the person being reviewed.

Write a service catalog entry for a microservice or internal platform service — covering service identity, purpose, architecture context, SLAs, API contract summary, data classification, dependencies, operational runbooks, and known limitations. Use when asked to document a service for an internal developer portal, write a service README for a platform catalog, create a service overview page, or onboard a new service to a service registry. Produces a complete service catalog entry suitable for an internal developer portal or wiki.

Write a short-form video script for TikTok, Instagram Reels, or YouTube Shorts — built on the hook→retention→payoff structure that drives watch-time. Use when asked to script a Reel, TikTok, Short, or any 15–60s vertical video. Produces a timed script with a 0–3s hook, retention beats with on-screen text and B-roll cues, a payoff, and a CTA — plus a caption and on-screen-text list. Distinct from long-form YouTube scripting.

Define Service Level Objectives (SLOs) and an error budget policy for a service. Use when asked to write SLOs, define SLIs, calculate an error budget, set reliability targets, or create an error budget policy. Produces a complete SLO document with SLI definitions, target calculation, error budget policy, burn rate alerts, and review cadence.

Assess SOC 2 readiness across the Trust Services Criteria and produce a gap remediation plan. Use when asked to prepare for a SOC 2 audit, run a SOC 2 readiness/gap assessment, scope controls, or get audit-ready. Produces a readiness report — scope & criteria, a control-by-control status, a weighted readiness score, prioritised gaps with owners, and the evidence each control needs.

Generate a structured sprint brief from sprint data and goals. Use when asked to write a sprint brief, create a sprint summary, document sprint goals and scope, or produce a team-facing sprint overview. Produces a scannable brief with sprint goal, rationale, grouped work, critical path, risks, and definition of done.

Structure and facilitate sprint planning sessions. Use when asked to plan a sprint, organise backlog items, assign story points, create sprint goals, or prepare sprint planning agendas. Produces a sprint goal, velocity-calibrated backlog, capacity plan, risk flags, and a structured sprint planning meeting agenda.

Explains, optimises, writes, and documents SQL queries. Use when asked to explain a SQL query, optimise slow SQL, translate SQL to plain English for non-technical stakeholders, write a query from a natural language description, or produce query documentation. Produces plain-English explanations, annotated optimised queries, or a data dictionary covering output shape, assumptions, and known limitations. Works across PostgreSQL, MySQL, BigQuery, Snowflake, and standard SQL.

Write a strategy memo that commits to a bet and says what you won't do. Use when asked to write a strategy memo, articulate a strategy, make the case for a strategic direction, or align the team on where to focus. Produces a strategy memo — the strategic question, the diagnosis, the bet/approach, why now, explicit non-goals (what we're NOT doing), how we'll know it's working, and the risks.

Flip Claude’s default from validation to adversarial critique. Use when you are about to make a high-stakes decision, commit to a plan, or pitch something you have not stress-tested. Produces structured challenges, steelmanned counter-arguments, and the strongest case against your position — a genuine thinking partner, not a mirror.

Design a structured lesson plan for any subject, audience, or format. Use when asked to write a lesson plan, course outline, teaching session, workshop curriculum, or training module. Produces a complete lesson plan with learning objectives, activities, timing, assessment, and differentiation guidance.

Create structured technical specification documents that bridge product requirements and engineering implementation. Use when writing a tech spec, engineering spec, system design doc, or API specification. Produces a complete spec with problem statement, proposed solution, data model, API design, alternatives considered, security considerations, testing plan, and rollout strategy.

Turn a task you repeat every week into a reusable personal skill or prompt — so you say 'do this' instead of re-explaining it every time. Use when asked help me make a skill for, turn this repetitive task into a template, I do this every week, or create a reusable prompt for this. Produces a captured spec of the repetitive task (its inputs, steps, and what good output looks like), a reusable skill/prompt you can invoke by name, and guidance on saving and refining it — lowering the barrier from AI user to AI author, one weekly task at a time.

Synthesises user interview transcripts into structured research findings. Use when asked to analyse interview notes, synthesise qualitative research, identify themes from interviews, or turn raw interview data into actionable product insights. Produces a themed synthesis with supporting quotes per theme, 'so what' implications, and recommended next steps.

Write well-structured user stories with acceptance criteria and edge cases. Use when asked to write user stories, create tickets from a feature brief, convert a PRD into stories, or write acceptance criteria. Produces ready-to-estimate stories in the standard format with clear acceptance criteria, edge cases, and definition of done.

Create a structured UX research plan for any product question or feature. Use when asked to write a research plan, design a user study, create a discussion guide, write screener questions, or plan usability testing. Produces a full research plan with objectives, methodology, screener, discussion guide, and synthesis framework.

Run a third-party / vendor security review and assign a risk tier with required controls. Use when asked to assess a vendor's security, run a third-party risk assessment, complete a security questionnaire about a vendor, or decide what due diligence a new tool needs. Produces a vendor risk assessment — a data/access-driven risk tier, the questionnaire focus, required evidence (SOC 2, pen test, DPA), residual risk, and an approve/conditional/reject recommendation.

Route a fuzzy request to the right skill in this library. Use when the user is unsure which skill fits, asks 'which skill should I use for X', describes a task without naming a skill, or when a request could plausibly match several skills. Produces a best-fit recommendation with the inputs to gather, a runner-up with the tie-breaker, and a workflow recipe when the job spans multiple skills.

Present time-aware itineraries with clear actions and citations

Keep activity suggestions safe and respect local conditions

Reference for all Nixopus API operations callable via nixopus_api(method, path, body)

Generate Caddyfile configurations for static sites and reverse proxies — SPA fallback routing, cache headers, compression, redirects, and error pages. Use when deploying a static site that needs custom Caddy configuration, or when the user needs SPA routing, caching, or redirect rules.

Generate docker-compose.yml for multi-service setups including databases, caches, and service dependencies. Use when the app needs a database, cache, message broker, or has multiple independently deployable services.

Size container memory and CPU limits, diagnose OOM kills and CPU throttling, and recommend resource adjustments by ecosystem. Use when containers are being OOM-killed, running slowly, or when setting initial resource limits for a deployment.

Build and deploy C/C++ applications — CMake, Meson, Ninja, and Dockerfile patterns. Use when deploying a C or C++ project, or when CMakeLists.txt or meson.build is detected.

Run database migrations safely during deployment — framework-specific commands, pre-deploy vs post-deploy timing, health gates, and rollback strategies. Use when the app has a database migration system and needs migrations run during deployment.

Build and deploy Deno applications — version detection, dependency caching, and Dockerfile patterns. Use when deploying a Deno project, or when deno.json or deno.jsonc is detected.

Sub-agent routing table — which agent handles diagnostics, machine health, infrastructure, GitHub, billing, and notifications. Load when the current task is not a direct deployment.

Full deploy pipeline — source detection, hints-driven analysis, project creation, deployment monitoring, and live URL delivery. Load when the user wants to deploy an application.

Analyze a repository to determine ecosystem, deployment targets, ports, build commands, and monorepo structure. Use when starting a new deployment, onboarding a repository, or when the user asks what stack or framework a project uses.

Layer-by-layer diagnostic workflow for application and container issues — deployment logs, container state, HTTP probes. Load when investigating a deployment failure or runtime issue.

Generate production-ready multi-stage Dockerfiles per ecosystem with best practices. Use when the user needs a Dockerfile, asks about containerization, or when no Dockerfile exists in the repository.

Generate ecosystem-specific .dockerignore files to reduce build context size and prevent secret leaks. Use when no .dockerignore exists, when the build context is large, or when secrets may be leaking into images.

Domain setup for applications. Preferred path is passing domains at creation time via createProject. Falls back to add_application_domain for post-creation attachment or custom domains.

Diagnose domain resolution, TLS certificate provisioning, and reverse proxy routing issues. Use when a domain is not resolving, TLS certificates fail, proxy returns 502/503/504, or custom domains are stuck in pending status.

Build and deploy .NET applications — ASP.NET Core, version detection, self-contained builds, and Dockerfile patterns. Use when deploying a .NET or C# project, or when a .csproj file is detected.

Build and deploy Elixir and Phoenix applications — version detection, mix releases, and Dockerfile patterns. Use when deploying an Elixir or Phoenix project, or when mix.exs is detected.

Detect required environment variables from source code, config files, and .env examples. Use when preparing for deployment, checking for missing env vars, or when the user asks about required environment configuration.

Diagnose deployment failures, container crashes, and networking issues using structured pattern matching on logs and container state. Use when a deployment fails, a container crashes or exits unexpectedly, or the app is unreachable after deployment.

Guide users through connecting GitHub to Nixopus when no GitHub connector exists. Covers GitHub App installation for cloud users and GitHub App manifest setup for self-hosted users.

Fix-via-PR workflow, file operations, connector resolution, and GitHub safety rules. Load when performing GitHub operations like creating branches, PRs, or file changes.

Build and deploy Gleam applications — erlang-shipment, version detection, and Dockerfile patterns. Use when deploying a Gleam project, or when gleam.toml is detected.

Build and deploy Go applications — version detection, static binaries, CGO, workspaces, and Dockerfile patterns. Use when deploying a Go project, or when go.mod is detected.

Structured incident response workflow — severity classification, diagnosis delegation, auto-fix decisions, notification, and post-incident review. Use when an automated failure event is received or when the user reports a production incident.

Build and deploy Java applications — Maven, Gradle, Spring Boot, version detection, and Dockerfile patterns. Use when deploying a Java project, or when pom.xml or build.gradle is detected.

Machine-level diagnostic layers, lifecycle management (restart/pause/resume), metrics analysis, and backup operations. Load when investigating server health or managing machine state.

MCP server discovery, tool invocation, and provider catalog integration. Load when a task involves external services, third-party tools, or when the user asks about MCP servers.

Deploy multi-service monorepo applications — service discovery, dependency ordering, shared build contexts, selective deployment, and compose generation. Use when the repository contains multiple deployable services, apps, or packages.

Look up Nixopus platform documentation at runtime. Use when the user asks about Nixopus features, configuration, concepts, self-hosting, API reference, guides, or anything where accurate product information is needed. Prevents hallucination by fetching the latest docs.

Build and deploy Node.js applications — version detection, package managers, framework-specific builds, monorepo support, and Dockerfile patterns. Use when deploying a Node.js, JavaScript, or TypeScript project, or when package.json is detected in the repository.

Proactive welcome flow for new Nixopus users. Triggered by the frontend __ONBOARD__ signal when a user has no GitHub connectors and no deployed applications. Greets the user warmly, explains what Nixopus is, and immediately loads the github-onboarding skill to deliver correct GitHub connection steps.

Build and deploy PHP applications — Composer, Laravel, Symfony, FrankenPHP, PHP-FPM, and Dockerfile patterns. Use when deploying a PHP project, or when composer.json or index.php is detected.

Verify a deployment is healthy after it completes — HTTP probes, healthcheck endpoints, container stability, log scanning, and port alignment. Use after any deployment to confirm the app is running and reachable.

Validate deployment readiness before triggering a build — check Dockerfile, ports, env vars, healthchecks, and resource config. Use before any deployment to catch common configuration issues early.

Build and deploy Python applications — uv, poetry, pdm, pipenv, pip, framework detection, and Dockerfile patterns. Use when deploying a Python project, or when requirements.txt, pyproject.toml, or Pipfile is detected.

Guide rollback decisions after failed deployments — when to rollback vs retry, verification after rollback, and state preservation. Use when a deployment fails repeatedly, the app is unreachable after deploy, or the user requests a rollback.

Build and deploy Ruby applications — Bundler, Rails, Rack, asset pipeline, bootsnap, and Dockerfile patterns. Use when deploying a Ruby or Rails project, or when a Gemfile is detected.

Build and deploy Rust applications — version detection, release binaries, cargo-chef, and Dockerfile patterns. Use when deploying a Rust project, or when Cargo.toml is detected.

Self-healing loop for failed deployments — diagnose, fix, redeploy up to 3 attempts, then escalate or rollback. Load when a deployment fails or build errors occur.

Deploy shell script applications — interpreter detection, setup scripts, and Dockerfile patterns. Use when deploying a shell script project, or when start.sh is detected.

Deploy static file sites — Caddy/nginx serving, Staticfile config, and Dockerfile patterns. Use when deploying a static HTML site with no server-side runtime, or when index.html or a Staticfile is detected at the project root.

This skill should be used when the user asks to "add an app to my MCP server", "add UI to my MCP server", "add a view to my MCP tool", "enrich MCP tools with UI", "add interactive UI to existing server", "add MCP Apps to my server", or needs to add interactive UI capabilities to an existing MCP server that already has tools. Provides guidance for analyzing existing tools and adding MCP Apps UI resources.

Author live dashboard UI from an agent via the `emit_ui` MCP tool. Emit

Coordinate multiple AI-DLC workflows across repositories and Git worktrees using an evidence-backed portfolio catalog and deterministic workspace tooling. Use when initializing an AI-DLC portfolio workspace, discovering organization or business context, registering projects and dependencies, creating child intents and worktrees, validating dispatch readiness, monitoring parallel AI-DLC sessions, or synthesizing cross-project outcomes.

Find and select the best installed CAO agent profile for a task before

Report task outcomes and distill lessons so the team improves across

Enable, operate, and extend CAO's MCP Apps surface — the host-rendered fleet dashboard visible inside MCP App hosts (Claude Desktop, ChatGPT, VS Code Copilot, Goose, Postman). Use when the user says "enable MCP Apps in CAO", "the ui://cao views aren't rendering", "rebuild MCP Apps bundles", "add a new ui://cao/* view", or "configure the MCP Apps OAuth scope layer". Operates on the CAO_MCP_APPS_ENABLED surface and cao_mcp_apps/ build system. Not for the localhost:9889 browser dashboard, not for plugins, providers, or session management.

Store, recall, and forget durable facts with CAO memory — user preferences,

Create a new CAO (CLI Agent Orchestrator) plugin. Use this skill whenever the user wants to add a plugin that reacts to CAO lifecycle or messaging events, scaffold a plugin package, understand plugin requirements, or integrate an external system (Discord, Slack, dashboards, logging, metrics) with CAO. Also use when the user asks what plugin events are available, how plugin discovery works, or how to install a plugin into a CAO environment.

Create a new CLI agent provider for CAO (CLI Agent Orchestrator). Use this skill whenever the user wants to add support for a new CLI-based AI agent (e.g., a new coding assistant CLI), integrate a new provider, or scaffold a provider implementation. Also use when the user asks about the provider architecture, what files to modify, or how providers work in CAO.