Agent Building skills

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

yao-interpreter-skill

Analyze local Agent Skill folders, SKILL.md files, or safe zip archives as untrusted input; explain purpose, trigger contract, structure, usage readiness, safety risks, evidence-backed 100-point quality score, and improvement roadmap; then generate Simplified Chinese HTML, JSON, findings, QA, and optional Markdown reports. Use for Skill quality interpretation, adoption review, learning, and author improvement. Do not use for executing target Skill scripts, mutating the target Skill, or creating a new Skill.

1.25k repo starsObserved in 1 repos

Agent Building

GitHub

yao-open-skills-sync

Manage the yao-open-skills public collection. Use this skill whenever the user wants to evaluate whether a local skill should be open sourced, import a local skill into the yao-open-skills repository, register which skills are already public, track GitHub sync status, or update the collection README and catalog after adding or refreshing a skill.

1.25k repo starsObserved in 1 repos

Agent Building

GitHub

autocontext

Iterative strategy generation and evaluation system. Use when the user wants to evaluate agent output quality, run improvement loops, queue tasks for background evaluation, check run status, inspect runtime artifacts and session branch lineage, or discover available scenarios. Provides LLM-based judging with rubric-driven scoring.

1.25k repo starsObserved in 1 repos

Agent Building

GitHub

auto-experiment

Launch an autonomous THINK→EXECUTE→REFLECT experiment loop on a GPU project

1.25k repo starsObserved in 1 repos

Agent Building

GitHub

experiment-status

Check status of running autonomous experiment loops

1.25k repo starsObserved in 1 repos

Agent Building

GitHub

do-in-parallel

Run independent tasks concurrently across multiple files or targets using parallel sub-agents, with per-task model selection and LLM-as-a-judge verification. Use when tasks do not depend on each other and can run side by side.

1.24k repo starsObserved in 4 repos

Agent Building

GitHub

do-in-steps

Execute one complex task as ordered, dependent steps run sequentially, passing context from each step to the next, with per-step LLM-as-a-judge verification. Use when later steps depend on the results of earlier ones.

1.24k repo starsObserved in 4 repos

Agent Building

GitHub

thought-based-reasoning

Use when tackling complex reasoning tasks requiring step-by-step logic, multi-step arithmetic, commonsense reasoning, symbolic manipulation, or problems where simple prompting fails - provides comprehensive guide to Chain-of-Thought and related prompting techniques (Zero-shot CoT, Self-Consistency, Tree of Thoughts, Least-to-Most, ReAct, PAL, Reflexion) with templates, decision matrices, and research-backed patterns

1.24k repo starsObserved in 4 repos

Agent Building

GitHub

build-w2a-sensor

Use this skill when the user asks to "build a W2A sensor", "create a world2agent sensor", "add a sensor for <source>", or otherwise wants to emit signals into the World2Agent protocol from a new data source. Guides discovery → design → scaffold → install recipe → test.

1.24k repo starsObserved in 1 repos

Agent Building

GitHub

dspy

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming

1.24k repo starsObserved in 1 repos

Agent Building

GitHub