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Found 1,210 Skills
Extract a shareable runnable template under templates/NNN-slug/ from a real project: copy + de-brand + remove secrets + add env examples + docs, with minimal refactors. Use when you have a working project and want to turn it into a template.
Daily triage of Wilma school notifications for Finnish parents. Fetches exams, messages, news, schedules, and homework — filters for actionable items, syncs exams to Google Calendar, and reports via chat. Requires the `wilma` skill and `gog` CLI (or `gog` skill from ClawHub) for calendar access.
Automatically detect and suggest appropriate MCP tools (context7, grep_app, web_search) based on user queries. This applies when queries contain documentation keywords (including English terms like how to use, docs, API, guide, tutorial and Chinese terms like 如何使用, 文档, 教程); code search keywords (including English terms like example, implementation, source code, github and Chinese terms like 例子, 示例, 实现, 源码); or latest information/bug fixing keywords (including English terms like latest, 2025, 2026, new, update, fix bug, error and Chinese terms like 最新, 更新, 修复 bug, 报错).
Automatically creates comprehensive pull requests to the dev branch when user indicates their feature/fix is complete and ready for review. Use when user mentions creating PR, submitting for review, or indicates work is done. Examples - "create a PR", "ready for review", "open a pull request", "submit this to dev", "all tests passing, let's get this reviewed".
Implements and enforces code quality gates for TypeScript/React projects. Use when setting up Biome/ESLint/TypeScript, configuring pre-commit hooks (Husky), fixing lint errors, or running quality checks. Examples - "setup code quality", "fix lint errors", "configure Biome", "run quality checks".
Guide for Claude Agent SDK - build custom AI agents powered by Claude. Covers installation, authentication providers, tool permissions, file-based configuration, TypeScript/Python code examples, and project scaffolding templates.
Maintain README files with setup instructions, features, tech stack, and usage examples. Use when updating project documentation, adding new features, improving onboarding, or creating READMEs for new packages.
Use this agent when you need to perform security audits, vulnerability assessments, or security reviews of code. This includes checking for common security vulnerabilities, validating input handling, reviewing authentication/authorization implementations, scanning for hardcoded secrets, and ensuring OWASP compliance. <example>Context: The user wants to ensure their newly implemented API endpoints are secure before deployment.\nuser: "I've just finished implementing the user authentication endpoints. Can you check them for security issues?"\nassistant: "I'll use the security-sentinel agent to perform a comprehensive security review of your authentication endpoints."\n<commentary>Since the user is asking for a security review of authentication code, use the security-sentinel agent to scan for vulnerabilities and ensure secure implementation.</commentary></example> <example>Context: The user is concerned about potential SQL injection vulnerabilities in their database queries.\nuser: "I'm worried about SQL inj...
Guide for implementing parsers with error recovery for new languages in Biome. Use when creating parsers for JavaScript, CSS, JSON, HTML, GraphQL, or adding new language support. Examples:<example>User needs to add parsing support for a new language</example><example>User wants to implement error recovery in parser</example><example>User is writing grammar definitions in .ungram format</example>
Run holistic pedagogical review on lecture slides. Checks narrative arc, student prerequisites, worked examples, notation clarity, and deck pacing.
Use this skill when crafting, reviewing, or improving prompts for LLM pipelines — including task prompts, system prompts, and LLM-as-Judge prompts. Triggers include: requests to write or refine a prompt, diagnose why an LLM produces inconsistent or incorrect outputs, bridge the gap between intent and model behavior, reduce ambiguity in instructions, add few-shot examples, structure complex prompts, or improve output formatting. Also use when the user needs help distinguishing specification failures (unclear instructions) from generalization failures (model limitations), or when iterating on prompts based on observed failure modes. Do NOT use for general coding tasks, document creation, or non-LLM writing.
Enrich contact, company, and influencer data using x402-protected APIs. Superior to generic web search for structured business data. USE FOR: - Enriching person profiles by email, LinkedIn URL, or name - Enriching companies by domain - Finding contact details (email, phone) with confidence scores - Scraping full LinkedIn profiles (experience, education, skills) - Searching for people or companies by criteria - Bulk enrichment operations (up to 10 at a time) - Verifying email deliverability before outreach - Enriching influencer/creator profiles across social platforms TRIGGERS: - "enrich", "lookup", "find info about", "research" - "who is [person]", "company profile for", "tell me about" - "find contact for", "get LinkedIn for", "get email for" - "employee at", "works at", "company details" - "verify email", "check email", "is this email valid" - "influencer", "creator", "influencer contact", "influencer marketing" ALWAYS use `npx agentcash fetch` for stableenrich.dev endpoints - never curl or WebFetch. Returns structured JSON data, not web page HTML. IMPORTANT: Use exact endpoint paths from the Quick Reference table below. All paths include a provider prefix (`https://stableenrich.dev/api/apollo/...`, `https://stableenrich.dev/api/clado/...`, etc.).