文件
文件工具和技術寫作技能
6825 skills in this category
Subcategories
Personal Wiki: Using the `wiki` CLI
Use when creating, linking, searching, or updating notes with the `wiki` CLI.
updating-knowledge
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investigation, recent developments post-cutoff, synthesis across multiple sources, or when Claude's knowledge may be outdated or incomplete.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.
sales-engineer
Expert sales engineer specializing in technical pre-sales, solution architecture, and proof of concepts. Masters technical demonstrations, competitive positioning, and translating complex technology into business value for prospects and customers.
whop-expert
Comprehensive Whop platform expert with access to 212 official documentation files covering memberships, payments, products, courses, experiences, forums, webhooks, and app development. Invoke when user mentions Whop, digital products, memberships, course platforms, or community monetization.
crafting-instructions
Generate optimized instructions for Claude (Project instructions, Skills, or standalone prompts). Use when users request creating project setups, writing effective prompts, building Skills, or need guidance on instruction types for Claude.ai.
tdd
Guide Test-Driven Development using Kent Beck's Red-Green-Refactor cycle. Use when writing tests, implementing features via TDD, or following plan.md test instructions.
reviewing-typescript-code
TypeScript code quality patterns for writing and reviewing code. Covers type safety, clean code, functional patterns, Zod usage, and error handling. Triggers on: add entity, create service, add repository, create comparator, add formatter, deployment stage, GraphQL query, GraphQL mutation, bootstrap method, diff support, command handler, Zod schema, error class, implement feature, add function, refactor code, clean code, functional patterns, map filter reduce, satisfies operator, type guard, code review, PR review, check implementation, audit code, fix types.
notion-spec-to-implementation
Turns product or tech specs into concrete Notion tasks that Claude code can implement. Breaks down spec pages into detailed implementation plans with clear tasks, acceptance criteria, and progress tracking to guide development from requirements to completion.
notion-research-documentation
Searches across your Notion workspace, synthesizes findings from multiple pages, and creates comprehensive research documentation saved as new Notion pages. Turns scattered information into structured reports with proper citations and actionable insights.
example-skill
Template for creating skills. Use when writing new code, reviewing code, or when the skill's specific domain applies. Replace this description with specifics.
notion-meeting-intelligence
Prepares meeting materials by gathering context from Notion, enriching with Claude research, and creating both an internal pre-read and external agenda saved to Notion. Helps you arrive prepared with comprehensive background and structured meeting docs.
writing-skills
Use when creating new skills, editing existing skills, or verifying skills work before deployment
writing-graphql-operations
Creates GraphQL queries and mutations using gql.tada and urql. Implements repository pattern with type-safe operations and error handling. Triggers on: GraphQL query, GraphQL mutation, gql.tada, urql client, Saleor API, fragments, repository pattern, fetch-schema, MSW mocks.
notion-knowledge-capture
Transforms conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context, formats appropriately, and saves to wikis or databases with proper organization and linking for easy discovery.
investigation
Scaffolds a structured investigation in scratch/ for empirical research and documentation. Use when the user says "start an investigation" or wants to: trace code paths or data flow ("trace from X to Y", "what touches X", "follow the wiring"), document system architecture comprehensively ("document how the system works", "archeology"), investigate bugs ("figure out why X happens"), explore technical feasibility ("can we do X?"), or explore design options ("explore the API", "gather context", "design alternatives"). Creates dated folder with README. NOT for simple code questions or single-file searches.
cloud-design
Design resilient, scalable multi-cloud architectures with best practices for AWS, Azure, and GCP. Use when creating cloud architecture diagrams, planning cloud infrastructure, or designing cloud migration strategies.
ai-artist
Write and optimize prompts for AI-generated outcomes across text and image models. Use when crafting prompts for LLMs (Claude, GPT, Gemini), image generators (Midjourney, DALL-E, Stable Diffusion, Imagen, Flux), or video generators (Veo, Runway). Covers prompt structure, style keywords, negative prompts, chain-of-thought, few-shot examples, iterative refinement, and domain-specific patterns for marketing, code, and creative writing.
claude-code
Activate when users ask about Claude Code installation, slash commands (/cook, /plan, /fix, /test, /docs, /design, /git), creating/managing Agent Skills, configuring MCP servers, setting up hooks/plugins, IDE integration (VS Code, JetBrains), CI/CD workflows, enterprise deployment (SSO, RBAC, sandboxing), troubleshooting authentication/performance issues, or advanced features (extended thinking, caching, checkpointing).
analyzing-source
Conducts in-depth analysis of a specific source or topic, producing comprehensive summaries for research synthesis. Use when you need detailed analysis and documentation of individual sources as part of a larger research effort.
repomix
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.