Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
328 skills found
Analyze project structures, dependencies, and patterns using parallel agent execution to generate comprehensive context documentation for rapid codebase onboarding and AI-assisted development.
Guides agent memory system implementation, compares frameworks (Mem0, Zep, Letta, LangMem, Cognee), and designs persistence architectures for cross-session knowledge retention.
Expert technical support for the Litestream disaster recovery tool, covering WAL monitoring, LTX replication, cloud storage backends, and SQLite page management.
Build read models and projections from event streams for CQRS, materialized views, and optimized query performance in event-sourced systems.
Master the EARS format to transform ambiguous feature ideas into precise, testable requirements, acceptance criteria, and edge case documentation.
Generate hierarchical, AI-optimized documentation structures (AGENTS.md, agent.d) to streamline codebase context, setup, and navigation for AI coding assistants and developers.
Master modern React state management. Learn to implement Redux Toolkit, Zustand, Jotai, and React Query for global, server, and local state.
Unified API for LLM function calling and tool use across OpenAI, Anthropic, Google, and Ollama with standardized schema definitions and execution patterns.
Create and update comprehensive GitHub issues with full technical context to prevent requirement loss and reduce implementation friction.
Standardized skill for Claude Code agents to dynamically query OpenRouter model recommendations and metadata via the Claudish CLI.
A comprehensive framework for creating, structuring, and managing reusable AI Agent Skills to standardize instruction-driven workflows.
Multi-phase feature development workflow for complex tasks using research, planning, implementation, and review gates.