Loading...
Loading...
Found 755 Skills
Design, critique, and revise UML diagrams from a modeling and communication perspective. Use when model is asked to create or improve UML; when the user asks for a graphical representation, diagram, schema, visual model, process map, state view, architecture view, or system representation of software/system behavior or structure; when the user does not explicitly choose UML but needs a model-like visual explanation; when model must autonomously choose the right UML diagram type or split across multiple UML diagrams. Use for reasoning about diagram form, abstraction level, boundaries, grouping, lifecycle/state design, behavior vs structure, interaction design, or diagnosing why a diagram feels wrong at the modeling level. This skill treats notation as the final representation, not as the core task.
Chief Customer Officer advisory for startups: retention decomposition (gross retention vs NRR honesty, churn root-cause taxonomy), customer segmentation strategy (differential investment across tiers + ICP fit scoring), CS team coverage model (pooled vs named CSM thresholds + ratio math), and CS team org evolution (CS vs Support vs AM distinctions). Use when designing retention strategy, segmenting customers for differential investment, sizing CS team, or sequencing CS hires. Strategic only — does not duplicate engineering/business-growth tactical skills.
A-share Individual Stock In-depth Research System. When users mention phrases like "Analyze XXX stock", "Check XXX", "Research XXX", "Is XXX worth buying?", "How is XXX?", "XXX fundamentals", or directly provide a 6-digit A-share stock code (starting with 000/001/002/300/301/600/601/603/605/688), a three-phase process is automatically triggered: Phase 1 Data Collection (K-line/Financials/Shareholders) → Phase 2 Step 0-8 In-depth Analysis (Industrial Chain/Elasticity/Valuation/Risk-Reward Ratio/Stop-loss Signal) → Phase 3 Handwritten HTML Research Report. The generated results are data.json + report.md + report.html under output/<Stock Name>_<Code>/<YYYY-MM-DD>/. This tool is for research reference only, does not constitute securities investment consulting business, and does not constitute investment advice.
ALWAYS invoke this skill when the user mentions 10x-cli, @przeprogramowani/10x-cli, the 10xDevs CLI, or the 10xDevs course environment in a setup context. This skill fetches the live README — Claude does not know 10x-cli's current install steps without it. Applies to: installing, updating, reconfiguring for different AI tools (Cursor, Copilot, Claude Code), permission/npm errors, authentication, and onboarding after 10xDevs enrollment. Excludes: developing 10x-cli source code, contributing to the repo, building similar CLIs, or general project setup.
Generate and publish blog posts from any project to kelegele/agent-blog. ZERO DEPENDENCIES — does NOT require Node.js, pnpm, git, or any local build tools. Works with only a browser and a GitHub token. Triggers on: "写篇博客", "blog this", "发博文", "publish blog", "把项目写成文章", "写篇文章", "blog it", "post article", "新文章", "new blog post", "blog this project", "发一篇博文", "写一篇博文", "blog post about this", "edit blog post", "修改文章", "更新博文", "edit article". Collects project context, collaborates on outline, writes Markdown with correct frontmatter, validates article format, generates a standalone HTML preview by reading live blog source, manages draft/review/publish flow. Pushes to kelegele/agent-blog main branch. Vercel auto-deploys on push. Use this skill whenever the user expresses intent to write about their current work as a blog post.
Flutter 단일 패키지 프로젝트의 레이어 구조, 디렉터리 규칙, 의존성 방향을 정리한 스킬. 새 기능을 어디에 둘지, 새 화면·리포지토리·유즈케이스를 어느 디렉터리에 만들지, "폴더 구조를 어떻게 잡을까", "feature를 어디에 둘까", "core에 넣을까 말까" 같은 질문이 나올 때 반드시 사용하세요. "프로젝트 구조", "디렉터리 구조", "레이어 분리", "clean architecture", "where does X live", "새 기능 추가" 같은 표현에 트리거합니다.
Day 2 (Tuesday) move of a Design Sprint that structures lightning demos and the four-step independent solution sketch protocol (Notes, Ideas, Crazy 8s, Solution Sketch). Each team member produces one solution sketch individually; the skill orchestrates the day but does not author the sketches themselves. Use Tuesday morning after Monday's target moment is locked. Output is the lightning demo board, sketch assignments, and the cohort of independent sketches that become Wednesday's heat-map material.
Main Agents: Do NOT use this skill directly. If you need to test the TUI, invoke the `tui_tester` subagent. Drive terminal UI (TUI) applications programmatically for testing, automation, and inspection. Use when: automating CLI/TUI interactions, regression testing terminal apps, or verifying interactive behavior. Also use when: user asks "what is agent-tui", "what does agent-tui do", "demo agent-tui", "show me agent-tui", "how does agent-tui work", or wants to see it in action.
Explain core Contentful concepts and route users to the right implementation skill or documentation. Use when users ask conceptual questions, need terminology clarified, want help choosing between APIs (CDA/CMA/CPA/GraphQL), or need guidance on the Contentful MCP server. Also triggers on "Contentful 101", "which Contentful API", "how do I get started", "which skill should I use", "what does X mean in Contentful", "Contentful glossary", "CDA vs CPA", "CDA vs GraphQL", "how does Contentful work", "Contentful architecture", "explain environments", "what are aliases", "content model design", "headless CMS", "Contentful MCP", "MCP server", "set up MCP", "Remix Contentful", "Astro Contentful", "Gatsby Contentful", "SvelteKit Contentful", "Nuxt Contentful". Not for framework-specific implementation (contentful-nextjs), migrations (contentful-migration), personalization (contentful-personalization), or hands-on REST/GraphQL request examples (contentful-api).
Python backend testing patterns with pytest for FastAPI applications. Use when writing Python tests: unit tests for services and repositories, integration tests for API endpoints with httpx.AsyncClient, fixture creation, factory setup with factory_boy, async testing with pytest-asyncio, mocking strategies, and parametrized tests. Covers test organization (tests/unit, tests/integration), conftest hierarchy, and coverage requirements. Does NOT cover frontend tests (use react-testing-patterns) or E2E browser tests (use e2e-testing).
Use this skill when the user says phrases like "get transcript", "transcribe video", "extract script", "help me extract it", "what does this video say", "what did this blogger say", or directly provides a video link requesting content extraction. Even if the user only sends a video link without stating their request, proactively trigger this skill if the context involves benchmark analysis or content extraction. Call video2text.py to obtain the raw transcript, use AI to correct common speech recognition errors, identify the author, and archive it to the benchmark blogger directory. Do NOT trigger for: analyzing viral content patterns (use li-analyzer), recording own topic ideas (use li-recorder), writing own scripts (use li-writer). Use when the user wants to "get transcript", "transcribe video", "extract script", or gives a video link for content extraction. Runs speech-to-text, AI proofreads, and archives to benchmark blogger directory.
Query Catalog, database, and table metadata resources in Alibaba Cloud Data Lake Formation (DLF). Provides read-only queries via the DLF OpenAPI Python SDK, supporting listing and viewing Catalogs, databases, tables with their detailed information and Schema definitions. Use cases: "list available Catalogs", "list databases", "view table schema", "search tables", "search tables by name", "fuzzy search", "view DLF metadata", "what databases are in the data lake", "what columns does a table have", "find tables whose name contains xxx". This Skill only contains read-only operations — no create, modify, or delete operations.