Claude Skills
The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 354 files from 1 739 authors, of which 61 713 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
Generates formal, structured, and executable implementation plan documents based on specifications.
Scans, analyzes, and documents the existing repository architecture, directories, and file purposes into docs/ARCHITECTURE.md.
Systematic codebase exploration, architectural critique, and generation of Project Discovery Drafts for SDLC Phase 0.
Performs consistency and traceability audits across documents (PRD vs Spec vs Plan) to detect missing coverage and scope creep.
Workflow for auditing, designing, and writing structured documentation based on the Diátaxis Framework (Tutorials, How-to, Reference, Explanation).
Helps interrogate Product Requirements (PRD), Technical Specifications, and Implementation Plans to find ambiguities, missing edge cases, and hidden assumptions.
Language-agnostic workflow for code reviews and security audits using a Two-Axis (Standards vs Spec) approach against Clean Code/SOLID principles, generating formal refactoring plans.
Workflow for analyzing bug reports, tracing root causes, and generating structured bug-fix implementation plans with rollback strategies.
God Mode Developer - God-Tier Autonomous Engineer for Coding/Implementation (Phase 6). Executes code strictly based on /spec/ and /plan/.
Grill the user relentlessly about a plan or design. Use when the user wants to stress-test a plan before building, or uses any 'grill' trigger phrases.
Standardized workflow for discovering, reading, writing, and compacting the project's memory file (memory.instructions.md) to persist context across AI chat sessions, with a permanent Knowledge Base for cross-session decisions and lessons learned.
Workflow to generate a comprehensive Product Requirements Document (PRD) detailing user stories, acceptance criteria, technical considerations, and metrics.
Generates formal, structured, and executable implementation plan documents based on specifications.
Scans, analyzes, and documents the existing repository architecture, directories, and file purposes into docs/ARCHITECTURE.md.
Generates or updates highly detailed, machine-readable technical specification documents in the /spec/ directory.
An advanced, autonomous AI agent skill designed to execute complex, multi-step, and long-horizon tasks with high reliability and minimal human interruption.
Grill the user relentlessly about a plan or design. Use when the user wants to stress-test a plan before building, or uses any 'grill' trigger phrases.
Behavioral guidelines to reduce common LLM coding mistakes. Use when writing, reviewing, or refactoring code to avoid overcomplication, make surgical changes, surface assumptions, and define verifiable success criteria.
Standardized workflow for discovering, reading, writing, and compacting the project's memory file (memory.instructions.md) to persist context across AI chat sessions, with a permanent Knowledge Base for cross-session decisions and lessons learned.
Omni-expert principal software architect. Triggers on requests for app development, coding, refactoring, or architectural design. Enforces clean code, clean architecture, deep reasoning, mandatory testing, and strict anti-ambiguity protocols.
Performs consistency and traceability audits across documents (PRD vs Spec vs Plan) to detect missing coverage and scope creep.
> Applies the "lazy senior developer" mindset. Use this skill whenever generating, modifying, reviewing code, or fixing bugs to prioritize code reuse, minimalism, YAGNI principles, and root-cause fixes. Supports for over-engineering review (ponytail-review), repo-wide audit (ponytail-audit), and debt tracking (ponytail-debt).
Workflow for analyzing bug reports, tracing root causes, and generating structured bug-fix implementation plans with rollback strategies.
Language-agnostic workflow for code reviews and security audits using a Two-Axis (Standards vs Spec) approach against Clean Code/SOLID principles, generating formal refactoring plans.
Helps interrogate Product Requirements (PRD), Technical Specifications, and Implementation Plans to find ambiguities, missing edge cases, and hidden assumptions.
Generates or updates highly detailed, machine-readable technical specification documents in the /spec/ directory.
Workflow to generate a comprehensive Product Requirements Document (PRD) detailing user stories, acceptance criteria, technical considerations, and metrics.
Systematic codebase exploration, architectural critique, and generation of Project Discovery Drafts for SDLC Phase 0.
Scans, analyzes, and documents the existing repository architecture, directories, and file purposes into docs/ARCHITECTURE.md.
Workflow for auditing, designing, and writing structured documentation based on the Diátaxis Framework (Tutorials, How-to, Reference, Explanation).
Generates formal, structured, and executable implementation plan documents based on specifications.
Elite UI/UX Design Lead & Frontend Architect. Generates distinctive, non-templated interfaces with opinionated aesthetics, deliberate typography, and exact UX copy. Triggers on UI design, frontend styling, or layout creation.
Phase 6: Coding & Execution. God-Tier Autonomous Engineer implementing code strictly based on approved /spec/ and /plan/.
Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code. Requires the Joyride extension.
Custom Instructions: Clean Architecture & Clean Code Expert
Prompt for creating Product Requirements Documents (PRDs) for new features, based on an Epic.
Create a new implementation plan file for new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.
Create a README.md file for the project
Create a new specification file for the solution, optimized for Generative AI consumption.
Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework.
Custom Instructions based on "Eloquent JavaScript, 4th Edition" (2024)
Custom Instructions: Senior Flutter & Dart Engineer
Laravel & PHP Development Instructions for GitHub Copilot
Documentation and content creation standards
Prompt: Prompt Refinement and Optimization
Custom Instructions: HTML5 & CSS3 Responsive Design Expert
Memory - Preferensi Pengguna
Custom Instructions: PHP 8+ & Laravel Architecture Expert
Custom Instructions: Node.js Backend & Architecture Expert
Menganalisis sesi terakhir untuk mencatat progress, mengambil pelajaran, dan menyimpannya ke instruksi memory proyek.
Contemplates repeated mistakes and success patterns, and transforms lessons learned into domain-organized Copilot instructions. Automatically discovers existing memory domains, intelligently categorizes new learnings, and creates domain-specific instruction files in the project workspace .github/instructions/ folder. You can make the categorization/domain designation specific by using `>domain-name` as the first thing in your request. Like so: `/remember >domain-name lesson content here`
Review and refactor code in your project according to defined instructions
Custom Instructions: The strict "Clean Architecture" & "Clean Code" Enforcer
Your mission is to be a precise, surgical assistant that respects existing code, follows user commands absolutely, and avoids any unsolicited changes.
Update an existing implementation plan file with new or update requirements to provide new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.
Update an existing specification file for the solution, optimized for Generative AI consumption based on new requirements or updates to any existing code.
Build a promotion case: evidence log, impact narrative, manager alignment plan, submission-ready promo doc.
Create an AI Evals Pack (eval PRD, test set, rubric, judge plan, results + iteration loop). See also: building-with-llms (build), ai-product-strategy (strategy).
Apply behavioral science to product design: target behavior, intervention map, experiment plan.
Build an early sales team: hiring plan, role scorecards, interview loop, onboarding/ramp.
Claude Skills — questions
Answers built from the skills we actually parsed.