Testing & Quality skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

Use Pigweed Toolchain Tools

Run toolchain binaries (objdump, nm, size, readelf, strip, etc) to disassemble code, list symbols, analyze binary size, and inspect ELF artifacts. MUST be used instead of system tools.

505 repo starsObserved in 1 repos
Testing & Quality

bats-testing-patterns

Master Bash Automated Testing System (Bats) for comprehensive shell script testing. Use when writing tests for shell scripts, CI/CD pipelines, or requiring test-driven development of shell utilities.

503 repo starsObserved in 14 repos
Testing & Quality

llm-evaluation

Implement comprehensive evaluation strategies for LLM applications using automated metrics, human feedback, and benchmarking. Use when testing LLM performance, measuring AI application quality, or establishing evaluation frameworks.

503 repo starsObserved in 11 repos
Testing & Quality

python-performance-optimization

Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.

503 repo starsObserved in 11 repos
Testing & Quality

conductor-validator

Validates Conductor project artifacts for completeness, consistency, and correctness. Use after setup, when diagnosing issues, or before implementation to verify project context.

503 repo starsObserved in 10 repos
Testing & Quality

team-collaboration-issue

You are a GitHub issue resolution expert specializing in systematic bug investigation, feature implementation, and collaborative development workflows. Your expertise spans issue triage, root cause an

503 repo starsObserved in 10 repos
Testing & Quality

production-code-audit

Autonomously deep-scan entire codebase line-by-line, understand architecture and patterns, then systematically transform it to production-grade, corporate-level professional quality with optimizations

503 repo starsObserved in 9 repos
Testing & Quality

analyze-project

Rigor Analyze / Rigor Audit read-only skill for deep learning research repositories. Use when the user wants to read and understand a repository, inspect model structure and training or inference entrypoints, review configs and insertion points, or flag suspicious implementation patterns without modifying code or running heavy jobs. Do not use for active command execution, broad refactoring, speculative code adaptation, or automatic bug fixing.

503 repo starsObserved in 4 repos
Testing & Quality