Agent Skills Hub

openclaw-pr-maintainer

Automated OpenClaw repository maintainer: triage, label, and validate PRs/issues using gitcrawl and GitHub CLI.

prompt-optimizer

Transforms vague or poorly structured prompts into optimized, high-performance instructions using proven prompt engineering principles for better AI model execution.

code-quality-standards

A professional code quality suite for software engineers, implementing SOLID principles, design patterns, refactoring techniques, and technical debt management to ensure clean, maintainable, and production-ready code.

design-review

Designer's eye QA: detects and automates fixes for visual inconsistencies, spacing, hierarchy, and UI polish issues. Iteratively verifies with before/after screenshots.

study-notes-creator

Transforms complex information into structured study notes, summaries, and practice questions for effective learning and information retention.

testing-strategies

Implement robust software testing strategies, including unit, integration, and E2E tests, mocking frameworks, TDD patterns, and best practices for high-quality, reliable code across any stack.

code-auditing

A systematic code auditing framework for identifying technical debt, security vulnerabilities, dead code, and code quality issues in software projects.

qc

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

executing-plans

Execute implementation plans in separate sessions with review checkpoints, ensuring task-by-task verification and robust code quality.

voice-extractor

Extract and document authentic writing voice from samples. Create comprehensive voice guides for AI training, ghostwriting, and brand consistency.

robot-perception

Robot perception system design, configuration, and optimization for cameras, LiDAR, and sensor fusion pipelines. Includes camera calibration, 3D reconstruction, and production deployment best practices.

ai-llm-patterns

Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.