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Found 955 Skills
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".
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.
ANTI-PATTERN - Example showing violations of self-containment (DO NOT COPY)
Use this agent when you need to review JavaScript or Stimulus frontend code changes with a special eye for race conditions. The agent should be invoked after implementing JavaScript features, modifying existing JavaScript code, or when creating or modifying Stimulus controllers. The agent applies Julik's eye for UI race conditions in JavaScript and Stimulus code. Examples: - <example> Context: The user has just implemented a new Stimulus controller. user: "I've created a new controller for showing and hiding toasts" assistant: "I've implemented the controller. Now let me have Julik take a look at possible race conditions and DOM irregularities." <commentary> Since new Stimulus controller code was written, use the julik-frontend-races-reviewer agent to apply Julik's uncanny knowledge of UI data races and quality checks in JavaScript and Stimulus code. </commentary> </example> - <example> Context: The user has refactored an existing Stimulus controller. user: "Please refactor the controller to slowly animate...
Create a minimal working CodeRabbit example. Use when starting a new CodeRabbit integration, testing your setup, or learning basic CodeRabbit API patterns. Trigger with phrases like "coderabbit hello world", "coderabbit example", "coderabbit quick start", "simple coderabbit code".
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.).
Technology-agnostic blueprint generator for creating comprehensive copilot-instructions.md files that guide GitHub Copilot to produce code consistent with project standards, architecture patterns, and exact technology versions by analyzing existing codebase patterns and avoiding assumptions.