Total 50,523 skills, Tools & Utilities has 8218 skills
Showing 12 of 8218 skills
Search code by AST structure using ast-grep. Find semantic patterns like function calls, imports, class definitions instead of text patterns. Triggers on: find all calls to X, search for pattern, refactor usages, find where function is used, structural search, ast-grep, sg.
VSCode extension starter using reactive-vscode and tsdown. Use when scaffolding or maintaining a VSCode extension with reactive APIs, CJS build, and vscode-ext-gen.
Deep Research Methodology (8-Step Process): Transform vague topics into high-quality research reports. Automatically perform problem decomposition, data stratification, fact extraction, framework comparison, derivation and verification, and deliver structured reports. Trigger Words: - "Deep Research", "In-Depth Study", "In-Depth Analysis" - "Help me research", "Do a research", "Conduct a study" - "Comparative Analysis", "Concept Comparison", "Technology Comparison" - "Write a research report", "Produce a research report" Note: If the user needs a visual diagram instead of a report, please use the research-to-diagram skill.
Explores codebase with structural and text search using ast-grep (syntax-aware AST matching), ripgrep (fast text/regex search), and fd (file discovery). Use when (1) navigating unfamiliar code or understanding architecture, (2) tracing call flows, symbol definitions, or usages, (3) answering "how does this work" or "where is this defined/called" questions, (4) finding files by name, extension, or path pattern, (5) pre-refactoring analysis to locate all references before changing code.
Automate PostHog dashboard creation, sync, update, and export via API
[Tooling & Meta] Synchronize and update Claude Code and GitHub Copilot development tool configurations to work similarly. Use when asked to update Claude Code setup, update Copilot setup, sync AI dev tools, add new skills/prompts/agents across both platforms, or ensure Claude and Copilot configurations are aligned. Covers skills, prompts, agents, instructions, workflows, and chat modes.
[Implementation] ⚡ Fast implementation - skip research, minimal planning
Jira API operations via Python CLI scripts. AUTOMATICALLY TRIGGER when user mentions Jira URLs (https://jira.*/browse/*, https://*.atlassian.net/browse/*), issue keys (PROJ-123), or asks about Jira issues. Use when Claude needs to: (1) Search issues with JQL queries, (2) Get or update issue details, (3) Create new issues, (4) Transition issue status (e.g., "To Do" → "Done"), (5) Add comments, (6) Log work time (worklogs), (7) List sprints and sprint issues, (8) List boards and board issues, (9) Create or list issue links, (10) Discover available Jira fields, (11) Get user profile information, (12) Download attachments from issues. If authentication fails, offer interactive credential setup via jira-setup.py. Supports both Jira Cloud and Server/Data Center with automatic auth detection.
Detect language of text with confidence scores, support for 50+ languages, and batch text classification.
Emacs extensible text editor with Lisp. Use for terminal editing.
This skill should be used when user asks to "search Slack for messages", "find Slack messages about X", "get channel history", "look up conversation in Slack", or "find what someone said in Slack".
Use when clarifying fuzzy boundaries, defining quality criteria, teaching by counterexample, preventing common mistakes, setting design guardrails, disambiguating similar concepts, refining requirements through anti-patterns, creating clear decision criteria, or when user mentions near-miss examples, anti-goals, what not to do, negative examples, counterexamples, or boundary clarification.