Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
170 skills found
Build AI agents with tool calling and multi-step reasoning. Generate, manage, and orchestrate custom skill files for Claude Code, Cursor, Cline, and other AI assistants to standardize your development workflows.
Autonomous multi-agent orchestration framework for Claude Code with memory-driven workflows, parallel-first task execution, Aristotle-based deconstruction, and multi-stage quality gates.
Execute implementation plans in small, verifiable batches with pause-for-feedback checkpoints to prevent drift and ensure code quality.
RPI Plan Phase: Create chunk-based, dependency-aware implementation plans from research documents for structured, atomic development.
Implementation patterns for MERIDIAN autonomous AI agents using Claude API, including BaseAgent lifecycle, structured tool use, token budget enforcement, and cron scheduling.
Intelligent strategic planning and requirements gathering with multi-perspective consensus loops and structured deliberation.
Implement production-grade AI agents with LangGraph, tool-calling guardrails, SSE streaming, and episodic memory. Includes anti-patterns, fix pairs, and stateful architecture patterns.
Pull validated startup project data and AI-generated build specifications from CoFounder.im to autonomously orchestrate development in OpenClaw.
Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.
Expert guide for kagent: the Kubernetes-native framework for building, deploying, and managing AI agents, MCP tools, and A2A protocols.
Execute the implementation planning workflow, generate technical design artifacts, and structure research tasks for Spec Kit projects.
Comprehensive guide for scaffold, configure, and structure gitagent projects. Manage agent.yaml, SOUL.md, RULES.md, and project directory layouts.