Skills de Claude Code · página 149

Sort grocery lists by aisle order using store aisle sign photos. Build aisle maps from uploaded images, match items to aisles, and output optimized shopping routes. Use when users upload aisle sign photos, request grocery list sorting, want shopping trip optimization, need store layout mapping, or mention grocery list organization.

Portrait Mode" for SVGs — foveated vectorization with 4-zone selective detail. Combines Claude vision annotations, MediaPipe segmentation/landmarks, and optional saliency. Like phone portrait mode, but vectorized.

Exhaustive problem space exploration using the MIT Synthetic Neurobiology "tiling tree" method. Partitions a problem into MECE (Mutually Exclusive, Collectively Exhaustive) subsets recursively via parallel subagents, then evaluates leaf ideas against specified criteria. Use when users say "tiling tree", "tile the solution space", "exhaustively explore approaches to", "what are all the ways to", or request a MECE breakdown of a problem. Requires orchestrating-agents skill.

Maintain a structured task list for the current session. Use proactively when a request requires 3+ distinct steps, the user provides multiple items, or complex work benefits from explicit progress tracking. Storage persists via Muninn config across container death. Adapted from Claude Code's TodoWrite tool.

AST-powered code navigation via tree-sitter. Auto-scans codebases and provides progressive-disclosure tree views with symbol search, source retrieval, and reference finding. Each invocation is self-contained — no cross-process state. Use when exploring unfamiliar repos, navigating code, or needing fast symbol lookup. Triggers on "map this codebase", "explore repo", "find symbol", "navigate code", "tree-sitter", or when starting work on an unfamiliar repository.

Systematic research methodology for building comprehensive, current knowledge on any topic. Requires web_search tool. Use when questions require thorough investigation, recent developments post-cutoff, synthesis across multiple sources, or when Claude's knowledge may be outdated or incomplete. Triggered by "Research", "Investigate", "What's current on", "Latest info on", complex queries needing validation, or technical topics with recent changes.

File-upload bridge for Claude Code on the Web. CCotw has no native file mount; this skill creates a throwaway GitHub branch the user can drop files onto via the github.com web UI, then fetches them locally on the next turn. Use when the user wants to upload, share, or send files into the session, or when a task clearly needs files the user has on disk that aren't in the repo.

Browser automation via webctl CLI in Claude.ai containers with authenticated proxy support. Use when users mention webctl, browser automation, Playwright browsing, web scraping, or headless Chrome in container environments.

Check that a document's claims about code are actually true by reading the prose, the code, and the tests and reporting (or fixing) where they disagree. Use whenever the user wants to verify a README, guide, spec, or docstring still matches the code; whenever they mention documentation drift, doc-code sync, "is this still accurate", stale docs, or keeping docs/tests/code consistent; before publishing or merging a docs change; or as a periodic doc-accuracy sweep. The agent reads the prose's meaning directly — there is no claim-comment DSL to maintain. Pairs with TDD — the test suite is the deterministic behavioral gate, this skill is the semantic prose-vs-reality review.

REQUIRED for all skill development. Automatically version control every skill file modification for rollback/comparison. Use after init_skill.sh, after every str_replace/create_file, and before packaging.

Semantic Python code queries via a stdio LSP client driving pyright-langserver. Provides binding-resolved go-to-definition, find-references, hover types, type diagnostics, file symbol outlines, and project-wide symbol search — name resolution and type inference that tree-sitter and ripgrep cannot do. Use when you need to follow an import to a definition, find all real uses of a symbol (excluding same-named-but-unrelated ones), get an inferred type, surface type errors, outline a file, or search symbols across a project. Triggers on "go to definition", "find references", "what type is", "resolve this symbol", "symbol outline", "find symbol in project", "pyright", "type-check this file".

Preprocesses photographed sheets of many business cards — slicing each into overlapping high-resolution tiles and de-glaring them with container tooling (OpenCV/ImageMagick) — then reads every card via cheap parallel temperature-0 API calls (Haiku or Sonnet) using a distilled extraction prompt, and writes deduped contact fields to a CSV. Use when a user has photos or scans holding multiple business cards per image, mentions glare or unreadable cards, batch card transcription, contact extraction, or wants to read many cards without an expensive in-conversation pass. Triggers on 'business cards', 'card scan', 'extract contacts', 'read these cards', 'card glare', 'too many cards per photo'.

Convert a file from one format to another inside the container — documents, images, audio, video. Routes to the right engine (pandoc, LibreOffice, ImageMagick, ffmpeg) by format pair. Triggers on "convert X to Y", "turn this docx into a pdf", "make a gif from this mp4", "md to docx", "batch-convert these images", or any single-file or batch format change where the source and target extensions differ. NOT for editing content (use docx/pptx/xlsx/pdf skills), creating files from scratch, or reading a file you already have in context.

Reads the visual content of slides, pages, and images the way a human would, not just their embedded text. Use when a PPTX or PDF has image slides, screenshots, charts, scanned figures, or flattened-to-image layouts that the built-in pptx/pdf skills read as empty; when asked to transcribe, describe, OCR, or extract what is shown in an image, slide deck, or document page; or when embedded-text extraction returned little or nothing from a visually rich file. Triggers on 'read this deck', 'what's on these slides', 'transcribe', 'OCR', 'extract text from image', 'describe this chart/diagram', .pptx/.pdf/.png/.jpg with visual content.

Builds a portable, embedding-free knowledgebase from a set of files and delivers it as a self-contained `.skill` bundle (BM25 index + bundled searcher + query protocol). Use when a user wants to turn uploaded files, a folder, or a corpus into a searchable knowledgebase they can hand to any agent — phrased as "make a knowledgebase", "build a KB skill", "package these docs for retrieval", "create a searchable bundle", or references to a `.skill` KB. The output runs anywhere with Node or Python — no model, no install, no network. Distinct from `bm25` (ephemeral in-session search) and `building-github-index` (markdown project-knowledge index).

Query a portable, embedding-free lexical knowledgebase bundled as a `.skill`. Use when the user references this KB or asks a question whose answer is in its corpus ({{SOURCE}}). Retrieval is BM25 over a precomputed inverted index — there is no embedding model, so YOU expand the query into search terms before searching. Bundle holds index.json + chunks.jsonl + search.js + search.py; pure stdlib, no install, no network.

Fix bugs with regression prevention using test-first approach

Run all 11 audit agents in parallel, then consolidate findings with fix-planner

Develop new features with test-first approach (TDD)

Run code quality checks and tests before committing

Validate build, environment, and dependencies before deployment

Full audit + fixes + deploy validation for production release

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This skill automates version bumping during the release process for the Claude Code Handbook monorepo. It should be used when the user requests to bump versions, prepare a release, or increment version numbers across the repository.

This skill should be used when the user wants to add components (commands, agents, skills, hooks, or MCP servers) to the Component Reference section of the website.

Guide spec-driven development workflow (Requirements → Design → Tasks → Implementation) with approval gates between phases. Use when user wants structured feature planning or says "use spec-driven" or "follow the spec process".

Review changed code for reuse, quality, and efficiency using three parallel disposable subagents. This skill should be used when the user says "review", "simplify", "code review", or wants a one-shot code review without persistent reviewers.

Review changed code for reuse, quality, and efficiency using a team of persistent named reviewers. This skill should be used when the user says "team review", "review with team", or wants parallel code review with persistent team members for follow-up questions. Similar to /subagent-review but reviewers persist after review.

This skill should be used when users want to discover, browse, or audit cc-handbook marketplace plugins. Shows all available plugins with installation status, versions, and component breakdown (skills, agents, commands, MCP/LSP servers, hooks). Trigger phrases include "discover plugins", "list handbook plugins", "what plugins are available", "browse marketplace".

Generate a .NET code coverage report scoped to files changed in the current branch. Runs tests with coverage collection and produces filtered HTML reports.

This skill should be used when investigating .NET project dependencies, understanding why packages are included, listing references, or auditing for outdated/vulnerable packages.

Run script-like CSharp programs using dotnet run file.cs. Use this skill when users want to execute CSharp code directly, write one-liner scripts via stdin, or learn about run file directives.

This skill should be used when working with Verify snapshot tests in .NET projects. Use when updating verified snapshots after intentional code changes, accepting new snapshots, discovering verify tests, or troubleshooting snapshot mismatches. Trigger phrases include "verify tests", "update snapshots", "accept snapshots", "verified files", ".verified.txt".

Understand implementation details of .NET code by decompiling assemblies. Use when you want to see how a .NET API works internally, inspect NuGet package source, view framework implementation, or understand compiled .NET binaries.

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This skill should be used when the user wants to manage Git worktrees - creating worktrees from local or remote branches, listing active worktrees with details, deleting worktrees, or switching between worktrees. Ideal for working on multiple branches simultaneously without stashing changes.

Expert guidance for using the GitLab CLI (glab) to manage GitLab issues, merge requests, CI/CD pipelines, repositories, and other GitLab operations from the command line. Use this skill when the user needs to interact with GitLab resources or perform GitLab workflows.

This skill should be used when crafting prompts for Nano Banana Pro (Gemini image generation). Use when users want help writing image generation prompts, need guidance on prompt structure, or want to optimize their prompts for better results.

This skill should be used for Python scripting and Gemini image generation. Use when users ask to generate images, create AI art, edit images with AI, or run Python scripts with uv. Trigger phrases include "generate an image", "create a picture", "draw", "make an image of", "nano banana", or any image generation request.

Summarize WHAT WAS SHIPPED in a Claude Code session as a self-contained HTML slide deck — the elevator pitch (problem, solution, decisions, artifacts, verification, gaps), not a play-by-play of tool calls or debugging detours. Defaults to the current in-context session; optionally accepts a session ID or JSONL path. Renders directly in the reflect aesthetic — no delegation. Use when the user invokes /reflect-solution or asks for a recap deck of what changed.

Visualize a Claude Code session as a quest/skill tree — a navigable SVG graph where nodes are turns and edges show flow, with distinct visual encoding for normal flow, dead-ends, corrections, retries, reversals, and backtracking. Sibling to /reflect (which produces an incidents+recommendations dashboard); this one shows the journey itself. Defaults to the current in-context session; optionally accepts a session ID or JSONL path. Use when the user invokes /reflect-tree or asks to map a session as a tree/graph/journey.

Analyze a Claude Code session for "wrong-turn" moments (corrections, retries, waste, reversals, dead-ends) and produce an interactive HTML dashboard with copy-able recommendations (CLAUDE.md rules, docs, scripts, hooks, memory entries, sub-skills, etc.) that would help future agents reach the goal faster. Defaults to reflecting on the current in-context session; optionally accepts a session ID or JSONL path. Use when the user invokes /reflect or asks to learn from this session.

This skill should be used when planning and tracking complex feature implementations that require systematic task decomposition. Use this skill to break down large features into manageable, well-documented tasks with clear dependencies, action items, and success criteria. The skill provides a structured template and methodology for iterative planning and tracking throughout implementation.

Analyze a task and produce an Architecture Decision Record with implementation steps.

Analyze a task, propose an agent team composition with roles and responsibilities, and create the team after user confirmation. Use when the user says "team stack", "create a team", "set up agents for this", or describes a complex task that would benefit from multiple agents working together.

Generate beautiful, self-contained HTML pages that visually explain systems, code changes, plans, and data. Use when the user asks for a diagram, architecture overview, diff review, plan review, project recap, comparison table, or any visual explanation of technical concepts. Also use proactively when you are about to render a complex ASCII table (4+ rows or 3+ columns) — present it as a styled HTML page instead.

Manage Venice API keys. Covers GET/POST/PATCH/DELETE /api_keys, GET /api_keys/{id}, GET /api_keys/rate_limits, GET /api_keys/rate_limits/log, the two-step /api_keys/generate_web3_key wallet flow, INFERENCE vs ADMIN key types, and per-key consumption limits (USD / DIEM).

High-level map of the Venice.ai API - base URL, authentication modes, endpoint categories, response headers, pricing model, error shape, and versioning. Load this first when starting any Venice integration.

Async music / audio-track generation via Venice. Covers the /audio/quote + /audio/queue + /audio/retrieve + /audio/complete lifecycle, lyrics vs instrumental, voice selection, duration, language, speed, model capability probing, and webhook-free polling.

Generate speech from text via POST /audio/speech. Covers TTS models (Kokoro, Qwen 3, xAI, Inworld, Chatterbox, Orpheus, ElevenLabs Turbo, MiniMax, Gemini Flash), voices per family, output formats (mp3/opus/aac/flac/wav/pcm), streaming, prompt/emotion styling, temperature/top_p, and language hints.

Transcribe audio files to text via POST /audio/transcriptions. Covers supported models (Parakeet, Whisper, Wizper, Scribe, xAI STT), supported formats (wav/flac/m4a/aac/mp4/mp3/ogg/webm), response formats (json/text), timestamps, and language hints. OpenAI-compatible multipart.

Venice augmentation endpoints for agent pipelines. Covers POST /augment/text-parser (extract text from PDF/DOCX/XLSX/plain text, multipart, up to 25MB, JSON or plain text response), POST /augment/scrape (fetch a URL and return markdown; blocks X/Reddit), and POST /augment/search (Brave ZDR or anonymized Google; structured title/url/content/date results, up to 20 per query). Privacy (zero data retention), rate limits, and error shapes.

Authenticate to the Venice API with a Bearer API key or with an x402 / SIWE wallet. Covers header formats, the SIWE message fields, TTL and nonce rules, the venice-x402-client SDK, and how to choose between the two modes.

Venice billing and usage analytics - GET /billing/balance, GET /billing/usage (paginated per-request ledger, JSON or CSV), and GET /billing/usage-analytics (aggregated by date/model/key). Covers the DIEM/USD/BUNDLED_CREDITS consumption priority and building dashboards. (Beta)

Discover and use Venice public characters (persona-driven system prompts with a bound model). Covers GET /characters (search/filter/sort), /characters/{slug}, /characters/{slug}/reviews, the Character schema, and how to apply a character via venice_parameters.character_slug in chat completions.

Call POST /chat/completions on Venice. Covers the OpenAI-compatible request shape, Venice-only venice_parameters (web search, E2EE, characters, thinking control, X search), multimodal inputs (images/audio/video), tool calls, reasoning controls, streaming, prompt caching, structured output, and model feature suffixes.

Use Venice as a pay-per-call JSON-RPC proxy to 20+ EVM and Starknet networks. Covers GET /crypto/rpc/networks, POST /crypto/rpc/{network}, the 1×/2×/4× method-tier pricing model, per-minute + 24-hour credit rate limits, idempotency keys for safe retries, single vs batch requests, and the unsupported stateful/WebSocket methods (eth_subscribe, eth_newFilter, etc.).

Call POST /embeddings on Venice. Covers request shape (input, model, encoding_format, dimensions, user), OpenAI compatibility, response compression (gzip/br), and practical usage for retrieval, clustering, and RAG.

Handle Venice API errors correctly. Covers the StandardError / DetailedError / ContentViolationError / X402InferencePaymentRequired body shapes, every meaningful status code (400, 401, 402, 403, 415, 422, 429, 500, 503, 504), the 402 PAYMENT-REQUIRED header used by x402 inference, 422 content-policy suggested_prompt retry pattern, 429 rate-limit headers, and an exponential-backoff retry strategy with idempotency.

Transform existing images with Venice. Covers POST /image/edit (prompt-driven single-image edit), /image/multi-edit (compose 1-3 images), /image/upscale (2-4x upscale + enhance), and /image/background-remove. Accepts base64, file upload, or HTTPS URL.

Generate images with Venice. Covers POST /image/generate (Venice-native), POST /images/generations (OpenAI-compatible), GET /image/styles (style presets), request fields (prompt, dimensions, cfg_scale, seed, variants, style_preset, aspect_ratio, resolution, safe_mode, watermark), and response formats.

Discover Venice models, their capabilities, constraints, and pricing. Covers GET /models (with ?type filter), /models/traits, /models/compatibility_mapping, the ModelResponse schema (capabilities, constraints, pricing per type), and how to use this to pick the right model programmatically.

Use Venice's Alpha POST /responses endpoint - an OpenAI-compatible Responses API with typed output blocks (reasoning, message, function_call, web_search_call). Covers request shape, streaming, differences from /chat/completions, supported venice_parameters subset, and E2EE behavior.

Generate and transcribe videos via Venice. Covers the async /video/quote + /video/queue + /video/retrieve + /video/complete loop, text-to-video, image-to-video, video-to-video (upscale), audio input, reference images, scene and element support, plus /video/transcriptions for YouTube URLs.

Manage Venice x402 wallet credits. Covers POST /x402/top-up (payment discovery + signed USDC settlement), GET /x402/balance/{walletAddress}, GET /x402/transactions/{walletAddress}, USDC on Base (chain 8453), minimum $5 top-up, transaction types TOP_UP/CHARGE/REFUND, and the x402 v2 PAYMENT-REQUIRED response shape returned by all inference endpoints.

Nano Banana (nano-banana) image generation skill. Use this skill when the user asks to "generate an image", "generate images", "create an image", "make an image", uses "nano banana", or requests multiple images like "generate 5 images". Generates images using Google's Gemini models (Flash, Pro, or Nano Banana 2) for any purpose - frontend designs, web projects, illustrations, graphics, hero images, icons, backgrounds, or standalone artwork. Invoke this skill for ANY image generation request.

Create professional promotional videos using Remotion with AI voiceover and background music. Invoke with /promo-video.

Generates paste-ready Power Apps Canvas App YAML. Invoke when the user wants to replicate a UI mockup, improve an existing Canvas app screen, or build a new screen from a text description. Also invoke when the user asks to "improve", "redesign", or "generate YAML" for a Canvas app screen.

Use when you need GA4 + GTM tracking delivery from site discovery through publish, or when the right phase entry point is still unclear.

Use when the user wants crawl coverage, platform detection, dataLayer discovery, or a fresh artifact directory before grouping and schema work.

Use when the work starts from `site-analysis.json` and the user wants page-group authoring, grouping adjustments, or page-group approval.

Use when the user wants to inspect the real live GTM runtime before schema generation or compare multiple live GTM containers.

Use when the user wants schema preparation, event design, selector validation, schema review, or event-spec generation.

Use when the platform is Shopify or the run needs the Shopify-specific schema, sync, install, or verification branch.

Use when the user wants GTM-ready config generation, GTM workspace sync, or container selection from an approved schema.

Use when the user wants preview QA, failure interpretation, release readiness, or an explicit publish handoff.

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Skill for orchestrating Claude Code sessions from OpenClaw. Covers launching, monitoring, multi-turn interaction, lifecycle management, notifications, and parallel work patterns.

Review code for best practices, bugs, and security issues.

Persistent local memory for AI agents. Use when starting a new session, when the user mentions remembering something, when you need project context, when making architecture decisions, or when working with other agents on the same project.

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Comprehensive review of local uncommitted changes using specialized agents with code improvement suggestions

Comprehensive pull request review using specialized agents

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倪海厦视角. 港台五术派代表 (1954-2012), 「命相卜山医一体」流派的 living archive. 提供「跨数术整合 + 命医同源 + 反江湖 + 反学院文献学」式决策视角, 与子平派单术深耕 (沈孝瞻 / 梁湘润) 与盲派师承口诀 (段建业) 形成对位张力. 长讲材料密度华人世界最高.

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