发现 devops llm ai 相关 Skills，比较来源仓库和用途，查看适合你工作流的技能说明。
Comprehensive guide for integrating Obsidian vaults as AI-powered second brains with Claude Code. Covers MCP integration, vault manifests, self-evolving patterns, auto-linking, and knowledge graph automation. U...
Python project scaffolding and development with modern tooling. Use when creating new Python projects, setting up virtual environments, configuring dependencies, or working with Flask web applications. Triggers...
Search the web using Perplexity AI. Use when needing to search, look up, research, find current information, best practices, compare technologies, or answer factual questions about tools and libraries.
Brief description of what this skill does. Include specific triggers - when should Claude use this skill? Example triggers, file types, or keywords that indicate this skill applies.
This skill should be used when the user asks to "create an MCP server", "build MCP tools", "define MCP prompts", "register MCP resources", "implement Model Context Protocol", or mentions the mcp gem, MCP::Serve...
Agent interaction capture, logging, and analysis with memory tracking and security (Rust implementation). Use when you need to capture and analyze agent interactions, track tool usage and performance metrics, q...
Automated skill deployment pipeline for CFN Loop integration
FAST code generation via mcp__cerebras-mcp__write tool using Z.ai glm-4.6. Use for rapid test generation, boilerplate creation, and bulk code tasks in main chat. Prompt must be SHORTER than output. Ideal for te...
FAST code generation via Z.ai glm-4.6 model. Use for rapid test generation, boilerplate code, repetitive patterns, and bulk file creation. Ideal when speed matters more than nuance. Do NOT use for complex archi...
Hybrid AISP epic creation with formal API contracts and natural language user content. Uses AISP (AI Symbolic Protocol) for type definitions and agent binding contracts while preserving human-readable descripti...
Converts natural language epic documents from markdown into structured JSON configurations for MDAP or CFN Loop execution. Use when you need to parse epic documents, validate epic structure, or generate executi...
Docker container orchestration for CFN Loop - spawning, coordination, logging, wave execution. Use when running CFN Loop agents in Docker containers, executing waves of parallel agents, coordinating containeriz...
Human intervention detection and orchestration for CFN Loop. Use when automated processes need human oversight, when escalation is required, or when managing intervention workflows and approval gates.
Analyzes task descriptions and classifies them into categories for agent selection
Organizational learning from CFN Loop execution - workflow codification and playbooks. Use when you need to store successful patterns, query past learnings, track edge cases and failures, or retrieve agent conf...
Prevent and detect memory leaks in Claude CLI operations through proactive monitoring, limits, and profiling. Use when managing memory limits for long-running agents, detecting memory leaks, profiling heap usag...
Unified agent management from selection through completion - spawning, execution, output processing. Use when selecting agents for tasks, spawning agents with dependency validation, processing agent outputs, or...
Agent development tools - generation and validation. Use when creating new agent templates from scaffolding, or validating and linting existing agent profiles for correctness and completeness.
Task dependency extraction and context ingestion. Use when you need to parse task criteria, identify dependencies, generate execution order, or inject context for complex multi-step tasks.
Classify tasks (type/domain), estimate complexity/iterations, recommend specialists from feedback themes
Agent selection based on task classification with fallback support
Skill loading, propagation, and building for CFN. Use when dynamically discovering and loading skills, deploying skills across environments, or creating new skill scaffolding.
Coordinates FAST code generation via Z.ai glm-4.6 with CodeSearch pattern learning. Use when agents need rapid test generation, bulk code creation, or repetitive boilerplate. Tracks successful prompts for conti...
Sync conversation history from .codex/sessions to .claude.json for context preservation
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。