orchestrate
Multi-phase feature development workflow for complex tasks using research, planning, implementation, and review gates.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
150 skills found
Multi-phase feature development workflow for complex tasks using research, planning, implementation, and review gates.
An autonomous AI agent loop that executes Claude Code repeatedly to build features from structured PRDs until completion.
A framework for applying Test-Driven Development to process documentation, ensuring agent reliability by using pressure scenarios to identify and patch rationalization loopholes.
Enable long-running, multi-session autonomous development tasks with state tracking, resumable execution, and dual-agent planning-execution workflows.
A standardized template for creating and documenting modular Agent Skills to ensure consistent, efficient context engineering across AI agent systems.
Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.
Orchestrates multi-agent iterative refinement for high-quality OpenClaw skill development, ensuring rigorous testing and lifecycle management.
Maintain a structured DEBUG_LOG.md for recording bugs, debugging processes, and solutions to ensure project stability and knowledge retention.
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.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
A RAG-based AI solver for high school Chinese GSAT exams, featuring structured knowledge retrieval, reasoning templates, and explainable AI outputs.
Synthesize performance profiling data into actionable recommendations and evidence-backed technical decisions.