ring:writing-skills
A framework for applying Test-Driven Development to process documentation, ensuring agent reliability by using pressure scenarios to identify and patch rationalization loopholes.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
164 skills found
A framework for applying Test-Driven Development to process documentation, ensuring agent reliability by using pressure scenarios to identify and patch rationalization loopholes.
Validates Skill, Agent, and Command syntax using validate_skills.py, logs errors, and manages the automated QC workflow for agent development.
Implement adaptive learning with ReasoningBank for pattern recognition, strategy optimization, and continuous improvement in AI agents.
Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability in production applications.
Structured, template-driven workflow for end-to-end feature development including coding, automated testing, verification, and session-based improvement.
Automated quality assurance system that validates markdown deliverables against defined checklists for PB-000 market research workflows.
The final execution agent for the vibe-coding workflow. Builds your MVP incrementally by following the AGENTS.md master plan, managing session continuity, and verifying each feature via testing.
A multi-paradigm ETL pipeline agent supporting batch and streaming data processing, schema inference, and configurable DAG-based transformations for heterogeneous data sources.
Implement production-grade AI agents with LangGraph, tool-calling guardrails, SSE streaming, and episodic memory. Includes anti-patterns, fix pairs, and stateful architecture patterns.
Collaborative PR review using a swarm of three specialized AI agents (Correctness, Health, UX) that discuss findings and reach consensus before posting a structured summary with inline comments.
Analyze RFPs and requirements to identify stakeholders, decompose functional modules, extract constraints, and generate high-priority clarification questions.
Development guide for self-improving MassGen via programmatic automation testing and visual UI/UX evaluation.