Agent Skills Hub

looped-builder

Scaffold complex, multi-step coding tasks into actionable implementation plans and execute them autonomously using a Claude-driven bash loop.

receiving-code-review

Rigorous, non-performative code review reception for AI agents, prioritizing technical verification and YAGNI over passive agreement.

dynamic-programming

Master DP patterns with complete implementations for memoization, tabulation, and state design for production-ready solutions.

pr

Automates the creation of draft GitHub pull requests using conventional commit standards and strict validation workflows.

qc

Automated quality gate using 5 parallel AI agents to review code changes for correctness, style, and consistency.

splitting-notes

Refactor monolithic notes into modular, index-linked files for improved discoverability and organization, targeting files over 1000 lines.

revert

Git-aware logical undo at track, phase, or task level with confirmation gates.

qwen-asr

Transcribe audio files (wav, mp3, ogg) to text using the Qwen ASR model. Fast, local-friendly, and requires no API keys.

spec-metadata

Generates standardized metadata, including git/jj version info and timestamps, for research docs, handoffs, and implementation plans.

Verification & Quality Assurance

A robust verification and QA system for software agents featuring real-time truth scoring, automated code validation, and instant rollback capabilities to maintain high reliability.

notion

Connect to the Notion API to create, manage, and query pages, databases, and blocks for your AI-powered knowledge management.

customer-problems

Identify and document Customer Problems (CP) from business context. Use when starting requirements engineering or when stakeholders describe solutions instead of problems. Step 1 of Problem-Based SRS methodology.