Claude Code Skills · page 34

Data analysis dashboard (instrument panel) development skill. Use when users need to develop data dashboards, create/edit Dashboard projects, build large-screen data boards, or perform dashboard data cleaning. Includes dashboard project creation, card plan, data cleaning (data_cleaning.py), card management tools (create_dashboard_cards, update_dashboard_cards, delete_dashboard_cards, query_dashboard_cards), map download tool (download_dashboard_maps), dashboard development, and validation.

Use when the user wants to interact with DingTalk in any way — including but not limited to: reading, querying, searching, sending, replying to, forwarding, or recalling DingTalk chat messages and chat history; managing group chats and conversations; sending DING alerts; querying contacts, org structure, AI search, or coworkers; reading, searching, creating, or editing DingTalk docs, drive files, sheets, AI tables, wiki, mail, calendar events, meeting rooms, AI meeting minutes, attendance, OA approvals, todos, reports/logs, live sessions, AI apps, permissions, or open-platform docs.

Use when the user provides API keys, tokens, or other configuration values that should persist across sessions, or when the user asks to query, list, or delete saved environment variables. Manages personal env by default and workspace env only when explicitly requested.

Use when connecting or configuring IM channel bots (WeChat, WeCom, DingTalk, Lark), or when you receive a user message that contains an <im> block indicating it was sent from an IM channel — read this skill to understand what the context means and how to handle it correctly.

Use when the user wants to interact with Lark/Feishu in any way — including but not limited to: reading, querying, searching, sending, replying to, forwarding, or downloading Lark/Feishu IM messages and chat history; managing group chats; listing, viewing, searching, creating, or editing cloud docs/files, Drive, Markdown, spreadsheets, Base tables, wiki, whiteboards, slides, apps, calendars/events/meeting rooms, contacts/org structure, tasks/todos, approvals, attendance, mail, minutes, VC notes, OKRs, real-time events, or custom Lark CLI skills. Load this skill first to find the right sub-skill.

Create and manage calendar projects for scheduling, content planning, and event management. Use when user wants to create a calendar, schedule events, or build a content/publishing calendar.

Create, modify, evaluate, package, and upload skills. Use when users want to create a skill from scratch, edit or optimize an existing skill, run evals to test a skill, benchmark skill performance, optimize a skill's description for better triggering accuracy, package a skill into a zip, or upload a skill to their skill library. Also use when user asks to "capture this workflow as a skill", "make a skill for X", "turn this into a reusable skill", "package this skill", or "upload to my skill library".

Security-first skill vetting protocol for AI agents. Use before installing any skill from the platform skill market, skillhub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns to determine whether a skill is safe to install.

Use when the user asks to create slides with a specific style, wants to use or inspect a slide template by code, wants to see platform-provided slide template options before creating, describes a custom template style, provides a PPTX/PPT file to convert into a platform template, or wants to extract a template from an existing Super Magic slide project.

Use when the user asks to find, select, call, or delegate work to an Agent/智能体, digital employee/数字员工, or Crew; when the target is unknown or must be selected by capability; when independent tasks can run in parallel; or when isolated research or a specialized Agent would improve the result.

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Manage scheduled tasks — create, query, update, and delete. CRITICAL - When user message contains any future time intent (e.g. "in 2 days", "tomorrow at 8am", "every morning"), you MUST load this skill first. Use the Code Mode tools described by this skill.

List available large language models and send chat completion requests programmatically. Use this skill when you need to call an LLM within a snippet, including model comparison, visual understanding, batch inference, and model performance testing.

Discover, connect to, and invoke tools on MCP (Model Context Protocol) servers. CRITICAL - When the user message contains [@mcp:...] mention, you MUST load this skill first to use MCP tools correctly.

Migrate existing antd-style CSS-in-JS (createStyles) components to Tailwind CSS utility classes with full dark mode support, following the project's style system transition strategy. Use when the user asks to migrate, convert, or rewrite antd-style components to Tailwind, or when working on new components in files that already use antd-style.

Expert code review of current git changes with a senior engineer lens. Detects SOLID violations, security risks, and proposes actionable improvements.

Migrate modules between shared `src/opensource/` code and enterprise overlays under `enterprise/src/opensource/`, while preserving the `src/opensource` boundary and existing component override points.

Add stable `data-testid` attributes by default for new or refactored UI components. Use when implementing React/TSX views, shadcn/antd-style components, dropdown/menu configs, or interactive UI flows that need reliable selectors for unit/E2E tests.

React composition patterns that scale. Use when refactoring components with

React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.

Query the list of all agents (employees) available to the current user. Use when generating code that requires a real agentId, or when the user asks "which agents/employees do I have".

Use for reading, analyzing, summarizing, and converting complex documents into Markdown artifacts or other supported document formats.

Complete API reference for window.Magic.* in SuperMagic HTML micro-apps (HTML 微应用). Read this skill when you need exact method signatures, parameters, return types, or usage examples for: fs (readFile/writeFile/listFiles/listDir/getFileUrl/deleteFile/deleteDir/moveFile/renameFile/watchFile/watchDir), llm (chat/stream/getModels), agent (getAgents/selectAgent), project (createTopicAndSend/sendMessage/uploadFiles/downloadFiles), user (getInfo with app.json userInfo scopes), getAppBasePath, setInputMessage, reload. Also covers file-per-record data storage, list projection file names, tiptap JSON message format, @file and @skill mention structures, model selector UI rules, user info authorization, error handling patterns, and backward compatibility table. Trigger phrases: 'window.Magic API', 'readFile writeFile', 'listDir watchDir', 'getFileUrl', 'get file url', '文件 URL', '获取文件链接', 'deleteFile deleteDir', 'moveFile renameFile', 'watchFile callback', 'watchDir callback', 'llm.stream', 'llm.chat', 'createTopicAndSend format', 'tiptap JSON mention', '@file mention structure', '@skill mention', 'getAppBasePath usage', 'model selector UI', 'user.getInfo', 'get user info', 'user avatar', 'userInfo scopes', 'app.json permissions', 'Magic API 用法', 'fs 读写文件 API', 'fs 获取文件链接', 'fs 删除文件', 'fs 移动重命名', '目录监听', '文件监听回调', '话题消息格式', 'mention 结构', '模型选择器', '用户信息', '用户授权', '获取头像'.

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Service Worker practical specifications for the current Magic Web implementation. Covers static resource partitioning, read-only API caching, request tagging, server-side kill/off takeover for /sw.js, and emergency rollback environment variables.

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Open and operate webpages in a real browser: navigate, read rendered content, inspect interactive elements, click, type, submit forms, press keys, select options, check boxes, hover, scroll, upload files, wait for page changes, manage pages, take and save screenshots, analyze visual layout, and inspect page errors and network activity.

Use when details may have been lost after context compaction, or when the Agent needs to inspect earlier compacted messages or previously created sub-agents.

Manage persistence for user-installed third-party CLI tools in the Super Magic sandbox. Use when the user wants to install, configure, adopt, restore, inspect, or remove a CLI, or when an external skill, webpage, or installer asks to run CLI install commands such as curl|sh, npm install -g, pipx install, uv tool install, go install, cargo install, or brew install. Do not persist runtime-provided CLIs.

Use when external HTTP or HTTPS files must be downloaded reliably into the workspace, especially for multiple files, large videos or archives, resumable transfers, custom Referer or Origin headers, or downloads that may take a long time.

Use when an HTML micro-app needs MagicBase persistence, window.Magic.db row operations, current-user context through window.Magic.getContext, creators, owners, assignees, permissions, CRUD, forms, surveys, todos, dashboards, filters, statistics, exports, or any saved user data.

Inspect, upgrade, or restart the sandbox this Agent is running in. Use when the user asks about this Agent's sandbox status or Agent image version, or explicitly asks to upgrade or restart its current environment.

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Use when a user needs a browser-accessible link to preview, present, or send Agent-generated workspace files, an entire project, or the current topic outside Super Magic—especially rendered output such as HTML that messaging or file-viewing channels cannot display directly—or when they need to find, reuse, change, or delete an existing share.

Use when the user wants to interact with Teamshare capabilities, especially Teamshare Base multi-dimensional tables: files, directories, sheets, fields, records, views, forms, dashboards, or dashboard widgets. Load this skill first to route to the right Teamshare sub-skill. Also trigger for localized requests in the user's language that refer to Teamshare or Teamshare Base.

Connect to a user-provided OAuth2 app, complete authorization, and use its access token in Code Mode HTTP requests.

Enforce Magic Web structured business error logging when adding, changing, migrating, or reviewing `logger.error` calls in `src`, `enterprise/src`, or `customer/src`, including catch blocks, callbacks, ErrorBoundaries, workers, WebSocket/storage flows, and logger adapters. Use to choose `eventKey/errorKind/error/message/context`, preserve historical diagnostics, prevent unsafe payloads, and verify the JS probe plus `/log-report` behavior.

Update peon-ping configuration — volume, pack rotation, categories, active pack, and other settings. Use when user wants to change peon-ping settings like volume, enable round-robin, add packs to rotation, toggle sound categories, or adjust any config.

Log exercise reps for the Peon Trainer. Use when user says they did pushups, squats, or wants to log reps. Examples - "/peon-ping-log 25 pushups", "/peon-ping-log 30 squats", "log 50 pushups".

Rename the current Claude session for peon-ping notifications and terminal tab title. Use when user wants to give this session a custom name like "/peon-ping-rename Auth Refactor". Call with no argument to reset to auto-detect.

Toggle peon-ping sound notifications on/off. Use when user wants to mute, unmute, pause, or resume peon sounds during a Claude Code session. Also handles config changes like volume, pack rotation, categories — any peon-ping setting.

Set which voice pack (character voice) plays for the current chat session. Automatically enables session_override rotation mode if not already set. Use when user wants a specific character voice like GLaDOS, Peon, or Kerrigan for this conversation.

Internal — invoked headlessly by `peon create`; humans should run `peon create` instead. Author and render a brand-new PeonPing draft pack — invoked headlessly as: "Use the peon-ping-create-pack skill to draft a pack: name=<n> flavor=<f> vibe=<v> draft_root=<dir>. Follow the skill exactly." Authors all 7 CESP categories honoring the vibe, writes openpeon.json (draft-stamped) and prompts.json, renders every sound via scripts/pack-render.py, and always ends by telling the human to run `peon eval <name>`.

Internal — invoked headlessly by the peon eval server; humans should run `peon eval <pack>` instead. Execute one PeonPing reroll job — invoked headlessly by the peon eval server as: "Use the peon-ping-remix skill to execute the reroll job at <path>". Reads the job JSON (scope, category, index, caption), rewrites the affected sound prompt(s) to honor the caption, re-renders via scripts/pack-render.py, and logs the change to eval-log.json.

You MUST use this skill for: (1) 'Show me how ByteRover works', 'walk me through ByteRover', tour, intro, walkthrough, or onboarding requests — runs a guided 90-second introduction; (2) gathering contexts before any work; (3) saving knowledge after any change. ByteRover stores and retrieves project patterns, decisions, and architectural rules in `.brv/context-tree`. Iron Law: query before thinking, curate after implementing.

Use when the user is debugging a bug, tracing an error, or asking why something fails. Examples: \"Why is X failing?\", \"Where does this error come from?\", \"Trace this bug\"

Use when the user asks how code works, wants to understand architecture, trace execution flows, or explore unfamiliar parts of the codebase. Examples: \"How does X work?\", \"What calls this function?\", \"Show me the auth flow\"

Use when the user needs to run GitNexus CLI commands like analyze/index a repo, check status, clean the index, generate a wiki, or list indexed repos. Examples: \"Index this repo\", \"Reanalyze the codebase\", \"Generate a wiki\"

Use when the user asks about GitNexus itself — available tools, how to query the knowledge graph, MCP resources, graph schema, or workflow reference. Examples: \"What GitNexus tools are available?\", \"How do I use GitNexus?\"

Analyze blast radius before making code changes

Plan safe refactors using blast radius and dependency mapping

Generate a Discohook-ready JSON embed for a Tabularis release given its version. Reads CHANGELOG.md for the changes and src/data/changelog.ts for the blog post URL, then fills in template.json (which the user can customize) and writes the result. Use when the user asks for a Discord release announcement, a Discohook embed, or "il json per discohook" for a specific version.

Use when creating or updating a Tabularis database driver plugin in Rust. Covers modern manifest fields, JSON-RPC over stdio, modular plugin layout, MySQL-level feature coverage targets, optional UI extensions, and validation against Tabularis repo rules.

Helps add announcement cards to the sidebar banner system. Use when adding changelog entries, feature announcements, updates, or promotional banners to the Agenta sidebar. Handles both simple changelog entries and complex custom banners.

Playbook for adding a new coding-agent harness to Agenta (Codex, Hermes, Gemini, OpenCode, ...). Use when starting, planning, or reviewing a new-harness project. Covers the readiness audit of prior art, the spike-first milestone plan, the full integration-surface checklist, the per-harness variance axes to probe, and the process/communication contract with Mahmoud. Living document: every harness project appends its lessons to resources/LESSONS.md.

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Where to put frontend code (package vs app layer) and how to use the @agenta/* packages. Use when authoring or moving code in web/packages, choosing between @agenta/ui, @agenta/entities, @agenta/entity-ui, @agenta/shared, @agenta/playground, using molecules, loadable/runnable bridges, the EntityPicker, or writing package unit tests.

Use this skill to create and publish changelog announcements for new features, improvements, or bug fixes. This skill handles the complete workflow - creating detailed changelog documentation pages, adding sidebar announcement cards, and ensuring everything follows project standards. Use when the user mentions adding changelog entries, documenting new features, creating release notes, or announcing product updates.

Hard-won GitButler mechanics for multi-lane work in this repo — committing to a specific lane in a stack, spreading a pile of edits back across an existing stack, ordering a stack and setting PR bases, and recovering from a scrambled workspace. Use when working with stacked branches, when `but rub`/`but absorb`/`but commit --only` mis-routes a change, when a stack collapses or a commit lands on the wrong lane, or when a hunk gets dropped. Not needed for ordinary single-lane work.

Drive a researched and planned feature to a landed, tested change. Use after plan-feature has produced a docs/design/<project>/ workspace and the user says "implement it", "build the plan", "run the plan", or "let's ship this". Orchestrates refresh-plan, implement, review, a debug-local-deployment loop, and a test loop across the daytona / local-pi / claude x SDK / UI matrix, then documentation and a GitButler stacked branch. The orchestrator stays in the loop and spins narrow subagents for each phase.

Feature-folder layout, states/ convention, and data-flow rules for the Agenta mobile app (web/mobile). Use when creating or moving files under web/mobile, deciding where a component lives, adding a new feature or screen, or wiring data into mobile components.

Motion design rules for the Agenta mobile app (web/mobile) — the shared presets in src/lib/motion, when to animate, and reduced-motion requirements. Use when adding any animation or transition under web/mobile, animating navigation, sheets, skeletons, or list/chat surfaces.

How the Agenta mobile app (web/mobile) installs and extends shadcn/ui registry components, themes them via the palette token bridge, and uses Vercel AI Elements. Use when adding UI components under web/mobile, changing theme colors, editing components.json or globals.css, or building chat UI with AI Elements.

Create a plan for a feature, and the files required to continue working on it. Use when the user asks for research for a feature or a plan to run it.

Resolve findings by implementing the chosen fix path in code, tests, or docs. Accept optional `path` and a `priority` selector; by default resolve only the next highest remaining priority bucket, in order `P0`, `P1`, `P2`, `P3`. Also accept explicit levels or `all`. Default to `path=infer`. Confirm effective variables before starting.

Perform a fresh-context scan of code and docs that turns verification observations and missing-test gaps into findings. Accept optional `path` and `depth` parameters and default to `path=infer`, `depth=deep`. Confirm effective variables before starting.

Apply Joseph Williams' clarity principles when writing or editing prose. Use when drafting technical or business writing, diagnosing unclear sentences, rewriting passive or abstract prose, or any time the user references Williams, "Style: Lessons in Clarity and Grace," or "Style: The Basics of Clarity and Grace.

Sync the findings record against local review artifacts and optionally a GitHub PR. Accept optional `path` and GitHub PR `url`; when `url` is provided, sync against both remote PR state and local state, otherwise default to local-only sync. Default to `path=infer`. Confirm effective variables before starting.

Regenerate and refresh the curated agent model catalog (the label/description/pricing/ratings behind the agent model picker). Use when the pinned @earendil-works/pi-ai version bumps, when a Claude Code build changes its accepted alias set, or before a release when the curated Claude/Pi facts (lineup, pricing, ratings) need refreshing from current public sources. Owns the data files under sdks/python/agenta/sdk/agents/data/; never edits capabilities.py logic.

Run or inspect the relevant validation paths and turn failures, regressions, or missing coverage into findings. Accept optional `path` and `depth` parameters and default to `path=infer`, `depth=deep`. Confirm effective variables before starting.

Coordinate findings work with the user, decide whether scan, test, or sync should run, and turn the current findings set into a ready plan. Accept optional `path` and GitHub PR `url`; default to `path=infer`. Confirm effective variables before starting.

Update the API reference documentation by downloading the latest OpenAPI spec from production and regenerating the Docusaurus API docs

Audit and update the supported LLM model list in assets.py against litellm's registry (models.litellm.ai). Use when adding new models, pruning outdated ones, or verifying the list is correct.

Use when writing or editing documentation pages (concept pages, how-to guides, API reference prose, tutorials) under docs/. Provides the writing style, voice, and structural rules for Agenta docs. Apply this skill before drafting any new docs page, and include it in the brief for any subagent tasked with writing docs.

Write and file Linear issues (bugs and feature requests) the Agenta way. Use when the user asks to create, file, or draft a Linear or GitHub issue, write a bug report or feature request, or turn a problem into a tracked issue. Covers the title format, reproduction-first structure, when to use a todo list, and the team/project/label/priority/state conventions, plus filing it through the Linear MCP so the linked GitHub issue is auto-created and the PR links back.

Write PR titles and descriptions the way a staff engineer would. Use when drafting or editing a pull request title and body, before running `gh pr create`, or any time the user asks for a PR description, summary, or release-notes-style writeup of a change. Apply this skill from the start, not as a cleanup pass after a generic first draft.

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Use find_capabilities to discover the right Agenta tools for an agent you are building, report what each integration needs to connect, and wire the tools into the new agent's config. Use when a setup/builder agent must turn a plain-language task ("post to Slack and open GitHub issues") into attached, connected, ready-to-run tools.

Delegate focused coding, research, review, or verification work to a bounded DevSpace subagent. Use when a task benefits from separate context, a specialist perspective, or a follow-up with the same worker.

Governs how the OpenBot browser app reads and writes server data — every request goes through `client` in app/src/lib/client.ts, every read is a queryOptions factory in app/src/lib/<entity>/queries.ts, every write is a mutationOptions factory in app/src/lib/<entity>/mutations.ts, and components consume them through useQuery/useMutation. Use when adding or changing a screen that loads server data, calling a /api/... endpoint from the browser, adding a query key, writing a create/update/delete flow, deciding where a fetch belongs, or reviewing a diff that contains the word fetch under app/src. Don't use for server-side route handlers under server/ (that is not browser code), for form validation schemas (those live in lib/<entity>/form.ts), for page layout and Item rows, or for the AG-UI stream itself, which the runtime carries rather than the client.

The default layout for every OpenBot configuration screen — PageShell and its prose/wide widths, PageSection and PageRows, Item row composition, the settings-row pattern where a summary and a chevron open a dialog, and the size and variant vocabulary. This is what a new screen looks like unless an instruction says otherwise. Use when adding or changing a screen under app/src/routes, adding a row to an admin or settings page, choosing a Button or Item size, picking between a bordered and a filled row, laying out a dialog, or reviewing a diff that adds max-w-*, a hand-drawn card, or a new spacing scale under app/src. Don't use for where the data comes from (that is openbot-data-access), for the gallery components under components/gallery that a Bot draws, for the chat and channel surfaces, or for editing the primitives under components/ui themselves.

Extract clean markdown content from web pages using Defuddle CLI, removing clutter and navigation to save tokens. Use instead of WebFetch when the user provides a URL to read or analyze, for online documentation, articles, blog posts, or any standard web page. Do NOT use for URLs ending in .md — those are already markdown, use WebFetch directly.

Generate Excalidraw diagrams from text content. Supports three output modes - Obsidian (.md), Standard (.excalidraw), and Animated (.excalidraw with animation order). Triggers on "Excalidraw", "diagram", "standard excalidraw", "animate".

Create and edit JSON Canvas files (.canvas) with nodes, edges, groups, and connections. Use when working with .canvas files, creating visual canvases, mind maps, flowcharts, or when the user mentions Canvas files in Obsidian.

Transform text content into professional Mermaid diagrams for presentations and documentation. Use when users ask to visualize concepts, create flowcharts, or make diagrams from text. Supports process flows, system architectures, comparisons, mindmaps, and more with built-in syntax error prevention.

Create and edit Obsidian Bases (.base files) with views, filters, formulas, and summaries. Use when working with .base files, creating database-like views of notes, or when the user mentions Bases, table views, card views, filters, or formulas in Obsidian.

Interact with Obsidian vaults using the Obsidian CLI to read, create, search, and manage notes, tasks, properties, and more. Also supports plugin and theme development with commands to reload plugins, run JavaScript, capture errors, take screenshots, and inspect the DOM. Use when the user asks to interact with their Obsidian vault, manage notes, search vault content, perform vault operations from the command line, or develop and debug Obsidian plugins and themes.

Create and edit Obsidian Flavored Markdown with wikilinks, embeds, callouts, properties, and other Obsidian-specific syntax. Use when working with .md files in Obsidian, or when the user mentions wikilinks, callouts, frontmatter, tags, embeds, or Obsidian notes.

Search the vault using QMD semantic search. Use PROACTIVELY before reading files. Preference order: (1) MCP tools — mcp__qmd__query, mcp__qmd__get, mcp__qmd__multi_get, mcp__qmd__status — if they appear in your tool menu, use them first; (2) CLI `qmd --index <name> ...` as fallback; (3) Grep/Glob only when QMD is not installed. Trigger proactively for past decisions, incidents, people, meetings, architecture, patterns, or any vault content — and after creating/editing notes to check for duplicates and related content.

Use Nate Jones OB1 Agent Memory from OpenClaw with provenance, scope, review, and use-policy discipline.

Continuous learning system that extracts reusable knowledge from work sessions. Triggers: (1) /aiception command, (2) 'save this as a skill' or 'extract a skill from this', (3) 'what did we learn?', (4) after non-obvious debugging or trial-and-error discovery. Creates new skills when valuable reusable knowledge is identified. Integrates with Open Brain to prevent duplicates.

Morning digest of yesterday's Open Brain thoughts, drafted to Gmail

Generate infographic images from any research doc, Open Brain thoughts, or analysis. Auto-chunks content, writes prompts, generates images via Gemini API (free tier), and saves to media/. Use --premium for better text rendering.

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Use when processing voice transcripts, brain dumps, stream-of-consciousness notes, or any raw multi-topic capture. Extracts every idea thread, then evaluates each one with deep brainstorming, then captures results to Open Brain. Trigger on transcripts, exports, "process this", "pan for gold", "brain dump", "what did I say", or multi-topic markdown files.

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