Prompt-driven capabilities that teach an agent new workflows. Every skill here is evaluated before it is listed.
Ranked by GitHub stars. Search to find fast, or page through the full list.
Show users how Continuous Claude works - the opinionated setup with hooks, memory, and coordination
Code quality checks, formatting, and metrics via qlty CLI
Audit and fix HTML accessibility issues including ARIA labels, keyboard navigation, focus management, color contrast, and form errors. Use when adding interactive controls, forms, dialogs, or reviewing WCAG compliance.
Search past reasoning for relevant decisions and approaches
Maps questions to the optimal tldr command. Use this to pick the right layer
Audit and fix animation performance issues including layout thrashing, compositor properties, scroll-linked motion, and blur effects. Use when animations stutter, transitions jank, or reviewing CSS/JS animation performance.
Research agent for external documentation, best practices, and library APIs via MCP tools
Formal theorem proving with research, testing, and verification phases
Planning agent that creates implementation plans and handoffs from conversation context
Resume work from handoff document with context analysis and validation
Fast file editing via Morph Apply API (10,500 tokens/sec, 98% accuracy)
Orchestrator-only workflow for migrating/rewriting codebases with full TDD and agent delegation
Full 5-layer analysis of a specific function. Use when debugging or deeply understanding code.
Computational geometry with Shapely - create geometries, boolean operations, measurements, predicates
Deterministic router for math cognitive stack - maps user intent to exact CLI commands
Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.
Search library documentation and code examples via Nia
Query the memory system for relevant learnings from past sessions
TDD workflow for migrations - orchestrate agents, zero main context growth
Get a token-efficient overview of any project using the TLDR stack
Validation agent that validates plan tech choices against current best practices
Router-First Architecture
Create and configure Claude Code sub-agents with custom prompts, tools, and models
Analyze brownfield codebase and create initial continuity ledger
Wiring Verification
Meta-skill workflow orchestrator for bug investigation and resolution. Routes to debug, implement, test, and commit based on scope.
Idempotent Redundancy
Scrape web pages and extract content via Firecrawl MCP
Deep interview process to transform vague ideas into detailed specs. Works for technical and non-technical users.
Implementation agent that executes a single task and creates handoff on completion
Complete Claude Code hooks reference - input/output schemas, registration, testing patterns
Environment Triage
Search Mathlib for lemmas by type signature pattern
Meta-skill for internal codebase exploration at varying depths (quick/deep/architecture)
Search GitHub code, repositories, issues, and PRs via MCP
Claude Code CLI commands, flags, headless mode, and automation patterns
Find unused functions and dead code in the codebase
AST-based code search and refactoring via ast-grep MCP
Create handoff document for transferring work to another session
Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
Create or update continuity ledger for state preservation across clears
Debug issues by investigating logs, database state, and git history
Systematic hook debugging workflow. Use when hooks aren't firing, producing wrong output, or behaving unexpectedly.
Workflow orchestrator that chains existing skills for feature development
Write reliable prompts for Agentica/REPL agents that avoid LLM instruction ambiguity
Create git commits with user approval and no Claude attribution
Guide for integrating Agentica SDK with Claude Code CLI proxy
Braintrust tracing for Claude Code - hook architecture, sub-agent correlation, debugging