8 676 development skills from 759 authors. They write and change code. Half of them fit into 1 830 tokens or less — that is what one costs your context window when the agent loads it. 1 213 ship runnable scripts rather than instructions alone. 42 of them cannot work without an MCP server, most often rube. We also found 1 172 copies of these same skills sitting in other people's repositories — counted once here, not 1 172 times.
8 676 unique 759 authors 5 250 updated this month 1 369 from vendors
Build Python agents with Agentica SDK - @agentic decorator, spawn(), persistence, MCP integration
Terminal pet that lives in your statusline. 12 species, 5 stats (DEBUGGING, PATIENCE, CHAOS, WISDOM, SPEED). Reacts to your workflow - happy when tests pass, sad when builds fail, excited during swarm mode. Deterministic species from user ID.
Post-implementation cleanup that removes AI-generated bloat while preserving functionality. Runs pass-by-pass with test verification after each pass. Activate after kraken/spark complete a feature, or when a codebase needs hygiene work.
Framer Motion patterns, page transitions, skeleton loading, scroll-linked animations, and gesture-based interactions for React.
API design, versioning, testing, schema validation, and contract testing patterns for REST and GraphQL APIs.
API versioning strategies, breaking change detection, deprecation lifecycle, and migration guides
AST-based code search and refactoring via ast-grep MCP
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
Git history'den otomatik changelog, semantic versioning, release notes, conventional commits
GitHub Actions workflow templates, matrix builds, caching, and monorepo CI strategies
Claude Code CLI commands, flags, headless mode, and automation patterns
Reverse-engineer and clone a website in one shot — extracts assets, CSS, and content section-by-section and proactively dispatches parallel builder agents in worktrees as it goes. Use this whenever the user wants to clone, replicate, rebuild, reverse-engineer, or copy any website. Also triggers on phrases like "make a copy of this site", "rebuild this page", "pixel-perfect clone". Provide the target URL as an argument.
OpenAI Codex CLI + Claude Code (Hizir) birlikte kullanim rehberi. Is dagitim pattern'leri, GitHub Actions workflow ornekleri, review dongusu ve iki AI yazilim asistaninin guclu yanlarini birlestiren orchestration stratejileri.
Codebase'i knowledge graph olarak analiz et. Dependency, call graph, hotspot analizi.
Cloud cost optimization, token/API cost tracking, build time optimization, and FinOps patterns
ETL/ELT patterns, batch vs streaming, idempotency, data quality framework, and pipeline orchestration
Find unused functions and dead code in the codebase
Systematic hook debugging workflow. Use when hooks aren't firing, producing wrong output, or behaving unexpectedly.
Dependency graph visualization, circular dependency detection, CVE scanning, and license compliance
Security-focused differential code review with blast radius analysis, risk-adaptive depth (DEEP/FOCUSED/SURGICAL), git history correlation, and structured finding format. Adapted from Trail of Bits. Use when reviewing PRs, commits, or code changes for security implications.
Django architecture patterns, REST API design with DRF, ORM best practices, caching, signals, middleware, and production-grade Django apps.
React error boundary hierarchy, fallback UI patterns, offline-first fallback, retry mechanisms, and graceful degradation.
Formal evaluation framework for Claude Code sessions implementing eval-driven development (EDD) principles
Meta-skill for internal codebase exploration at varying depths (quick/deep/architecture)
Use this skill when making any factual claim about the codebase — existence, absence, or behavior. Converts the claim-verification rule into a systematic action protocol that prevents false assertions from grep-only results.
Meta-skill workflow orchestrator for bug investigation and resolution. Routes to debug, implement, test, and commit based on scope.
React Hook Form + Zod integration, multi-step forms, optimistic validation, server-side error mapping, and file upload patterns.
React, Next.js, TypeScript frontend patterns - component design, state management, performance
Git Commit Rules
Claude Code Action entegrasyonu - PR review ve issue-to-fix workflow kurulumu
GitHub MCP Server ile GitHub API erisimi. Repo, issue, PR, code search, release yonetimi.
Search GitHub code, repositories, issues, and PRs via MCP
Idiomatic Go patterns, best practices, and conventions for building robust, efficient, and maintainable Go applications.
Schema design, resolver patterns, DataLoader, N+1 prevention, and subscription patterns for GraphQL APIs.
Knowledge graph integration for token-efficient codebase understanding. Uses codebase-memory MCP for AST indexing, dependency graphs, and smart context selection. 6-71x token savings vs raw file reading.
Coroutine patterns, Flow operators, Jetpack Compose state management, Ktor routing, and Kotlin Multiplatform shared code.
Proje bilgisini 4 katmanli yapida organize et. Aktif projeler, sorumluluk alanlari, referans kaynaklar ve arsiv. Progressive summarization ile bilgiyi katman katman ozumse. Second brain pattern'i ile codebase bilgisini yapilandir.
Deterministic router for math cognitive stack - maps user intent to exact CLI commands
Problem-solving strategies for analytic functions in complex analysis
Routes problems to appropriate mathematical frameworks using expert heuristics
Hierarchical memory organization for multi-session context retention. Wings (projects) > Rooms (domains) > Drawers (decisions). Semantic search across all memories with zero cloud dependency.
Modular Code Organization
Fast codebase search via WarpGrep (20x faster than grep)
Fast file editing via Morph Apply API (10,500 tokens/sec, 98% accuracy)
Search library documentation and code examples via Nia
Analyze brownfield codebase and create initial continuity ledger
Phase-gated commit workflow for clean git history -- implement, review, test, commit per phase
Property-based testing (PBT) patterns with fast-check (JS/TS), Hypothesis (Python), and gopter (Go). Generate random inputs, define invariants, shrink failures to minimal cases. Adapted from Trail of Bits. Use when testing pure functions, parsers, serializers, state machines, or any code where example-based tests miss edge cases.