Agent Building skills

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

build-cs-skill

CodeStable skill authoring protocol. Use when creating, refactoring, simplifying, or reviewing cs-* skills under plugins/codestable/skills or .claude/skills. Applies the prompt-as-code framework: classify the skill, define Spec/types/state machine, separate operator rules from references, add machine-checkable contracts, and design decision fixtures. Do not use for normal feature implementation; use cs-feat/cs-issue/cs-docs for product work and eval-cs-skill for full measured experiment loops.

1.07k repo starsObserved in 1 repos
Agent Building

eval-cs-skill

CodeStable skill 工程化闭环入口。触发:写/改一个 cs skill、评测 skill 效果、跨 model/agent 量化、优化 skill 提示词、把收敛结论固化回 skill。内部推进 author、eval、optimize、release。

1.07k repo starsObserved in 1 repos
Agent Building

skills-index-snippets

Create and maintain AGENTS.md / CLAUDE.md snippet indexes that route tasks to the correct dotnet-skills skills and agents (including compressed Vercel-style indexes).

1.07k repo starsObserved in 10 repos
Agent Building

marketplace-publishing

Workflow for publishing skills and agents to the dotnet-skills Claude Code marketplace. Covers adding new content, updating plugin.json, validation, and release tagging.

1.07k repo starsObserved in 8 repos
Agent Building

litert-quantization-calib

Assists the user to calibrate, merge, and statically quantize litert LLM models (such as Gemma 3) in standard open-source (OSS) environments. Use when the user wants to run LLM calibration, merge task JSON results, align KV cache parameters across models, protect sensitive layers in Float32, or run quantized inference testing. Don't use for JAX/PyTorch custom quantization configurations or non-litert models.

1.06k repo starsObserved in 1 repos
Agent Building

unreal-mcp-overview

Overview of the Flopperam Unreal Engine MCP server -- tool categories, workflows, and cross-tool relationships. Use when first connecting to a running Unreal Editor, when unsure which tool handles a task, or when the user asks about available capabilities.

1.06k repo starsObserved in 2 repos
Agent Building

kcc-agentic-journaler

Provides a structured logic for capturing and routing agentic learnings to prevent knowledge pollution.

1.05k repo starsObserved in 1 repos
Agent Building

ai-sdk

Answer questions about the AI SDK and help build AI-powered features. Use when developers: (1) Ask about AI SDK functions like generateText, streamText, ToolLoopAgent, embed, or tools, (2) Want to build AI agents, chatbots, RAG systems, or text generation features, (3) Have questions about AI providers (OpenAI, Anthropic, Google, etc.), streaming, tool calling, structured output, or embeddings, (4) Use React hooks like useChat or useCompletion. Triggers on: "AI SDK", "Vercel AI SDK", "generateText", "streamText", "add AI to my app", "build an agent", "tool calling", "structured output", "useChat".

1.05k repo starsObserved in 1 repos
Agent Building

nemo-gym-pivot-datasets

Use when creating, validating, or documenting Nemo Gym pivot datasets from rollout, trajectory, chat-completion, Responses API, or tool-call artifacts. Covers Gym Responses-style row conversion, pivot selection, single-step tool-use configs, agent_ref alignment, verifier knobs, expected-action row contracts, and train/eval usage.

1.05k repo starsObserved in 2 repos
Agent Building

nemo-gym-reward-profiling

Use to help users get started with Nemo Gym reward profiling. Covers the basic gym env start, gym eval run, and gym eval profile workflow, repeated rollouts, materialized inputs, rollout JSONL artifacts, task and rollout identity, output inspection, partial profiling, and rollout_infos. For failed jobs, prefer nemo-gym-debugging.

1.05k repo starsObserved in 1 repos
Agent Building