Discover devops llm ai skills, compare source repositories and read the instructions for each workflow.
MANDATORY tracking protocol for multi-model validation. Creates structured tracking tables BEFORE launching models, tracks progress during execution, and ensures complete results presentation. Use when running...
Interview-based system for creating specialized Claude Code agents. Use when users want to create a Claude Code agent, need help defining agent roles and responsibilities, mention "create an agent" or "build an...
Use when user asks where to put configuration, skills, or learnings, or discusses sharing config across projects. Provides decision criteria for the three-tier architecture (global ~/.claude, plugin, project-lo...
Automatically applies when building LLM applications. Ensures proper async patterns for LLM calls, streaming responses, token management, retry logic, and error handling.
Use when reviewing code or PRs in the llama-stack repository (llamastack/llama-stack on GitHub). Provides specialized knowledge about Llama Stack's architecture, testing patterns (recordings folders), backward...
Automatically applies when creating AI tool functions. Ensures proper schema design, input validation, error handling, context access, and comprehensive testing.
Use when the user is exploring possibilities, asking for ideas, or expressing uncertainty. Trigger cues include "ideas", "alternatives", "what could we do", "brainstorm", "different approaches", "I'm not sure y...
Use when diagnosing openai_harmony.HarmonyError or gpt-oss tool calling issues with vLLM. Identifies error sources (vLLM server vs client), maps specific error messages to known GitHub issues, and provides conf...
This skill provides knowledge about Claude tools (Prompts, Skills, Subagents, Commands, and MCPs). Use this skill when knowledge about Claude tools is needed, when the user mentions Claude tools or when the use...
Automatically applies when engineering prompts for LLMs. Ensures proper prompt structure, templates, few-shot examples, context management, and injection prevention.
Automatically applies when building RAG (Retrieval Augmented Generation) systems. Ensures proper chunking strategies, vector database patterns, embedding management, reranking, and retrieval optimization.
Automatically applies when designing multi-agent systems. Ensures proper tool schema design with Pydantic, agent state management, error handling for tool execution, and orchestration patterns.
Creates new Agent Skills with proper YAML frontmatter, progressive disclosure architecture, and best practices. Use when the user asks to create a new skill, generate a skill template, or build custom capabilit...
PocketFlow framework for building LLM applications with graph-based abstractions, design patterns, and agentic coding workflows
PlaceholderAPI - Minecraft plugin expansion system for placeholder text replacement
Use when reviewing OpenAI API usage, answering questions about OpenAI endpoints, or validating implementations against the official API specification. Provides expert knowledge on chat completions, embeddings,...
Generates module README.md with exercise planning table for CopilotTraining workshop modules. Researches URLs to understand new capabilities and creates strategic content outline. Use exercise-author skill to i...
Databricks Apps deployment, debugging, and configuration management. Use when working with Databricks Apps issues including deployment failures, app configuration (app.yaml), granting permissions to SQL warehou...
Automatically load and cache OnoCoro mandatory documentation (AGENTS.md, coding-standards.md, etc.) for AI agents. Supports manual triggers via /readmd command and auto-load on session start. Prevents context g...
Human Resources skill for recruiting, onboarding, employee engagement, policies, performance management, and HR operations. Use when handling HR processes, recruiting, employee relations, or organizational deve...
Persistent task memory for AI agents across sessions
Convert MCP servers to Claude Code skills with progressive disclosure. Use when creating a skill from an MCP server, updating an existing MCP skill, or converting MCP documentation to skill format. Accepts MCP...
Hierarchical memory architecture combining short-term, long-term, and episodic memory layers. Based on Mem0 research showing 26% accuracy improvement. Use for persistent knowledge, context management, and RAG o...
情報収集担当エージェント「Gemini」を起動します。中級者のリサーチエージェントとして、WEB検索・外部ドキュメント調査・API情報収集を担当します。
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.