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dspy-framework
DSPy declarative framework for automatic prompt optimization treating prompts as code with systematic evaluation and compilers. Use when optimizing prompts systematically, building production LLM systems, imple...
Skills IA devops llm ai
Découvrez les skills devops llm ai, comparez leurs dépôts et consultez leurs instructions.
Catégories: devops llm ai
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Explorer
GitHub
mcp
MCP (Model Context Protocol) - Build AI-native servers with tools, resources, and prompts. TypeScript/Python SDKs for Claude Desktop integration.
GitHub
draft-initialization
Initialize fiction draft cycles following the Spec-Kit workflow (idea → clarify → plan → tasks). Use when creating new drafts, planning rewrites, breaking down episodes, or structuring story changes. Triggers i...
GitHub
paper-writing
Expert guidance for writing high-quality academic and research papers. Use when the user wants to write, structure, revise, or improve academic papers, research articles, conference papers, or technical reports...
GitHub
semantic-searchsearch
Use when searching the codebase with natural language queries like "authentication logic" or "database connection"
GitHub
llm-caching-patterns
Multi-level caching strategies for LLM applications - semantic caching (Redis), prompt caching (Claude/OpenAI native), cache hierarchies, cost optimization, and Langfuse cost tracking with hierarchical trace ro...
GitHub
langfuse-observability
LLM observability with self-hosted Langfuse 3.x - tracing, evaluation, monitoring, prompt management, and cost tracking
GitHub
streaming-api-patterns
Implement real-time data streaming with Server-Sent Events (SSE), WebSockets, and ReadableStream APIs. Master backpressure handling, reconnection strategies, and LLM streaming for 2025+ real-time applications.
GitHub
ai-native-development
Build AI-first applications with RAG pipelines, embeddings, vector databases, agentic workflows, and LLM integration. Master prompt engineering, function calling, streaming responses, and cost optimization for...
GitHub
design-system-starter
Use this skill when creating or evolving design systems for applications. Provides design token structures, component architecture patterns, documentation templates, and accessibility guidelines. Ensures consis...
GitHub
langgraph-workflows
Design and implement multi-agent workflows with LangGraph 0.2+ - state management, supervisor-worker patterns, conditional routing, and fault-tolerant checkpointing
GitHub
spawn-research-agents
Use when conducting codebase research to orchestrate specialized agents in parallel for comprehensive investigation.
GitHub
agent-awareness
ALWAYS check this skill before using grep, glob, Task tool, or doing any codebase exploration. Guides you to use specialized agents that are more efficient than basic tools.
GitHub
collaborative-outline
This skill should be used when the user asks to "创建大纲", "outline", "文章结构规划", "plan article structure", or needs help structuring their content before writing. Provides collaborative outline creation w...
GitHub
prompt-writing
Generates, analyzes, and optimizes prompts for skills, commands, subagents, reference docs, and free-form text. Use when generating prompt content, analyzing prompt files, or optimizing prompt text to apply tec...
GitHub
meta-prompt-framework
Three-phase task execution framework with refinement strategies and role-specific prompting. Automatically activates when designing prompts, optimizing task flows, or implementing iterative improvement patterns...
GitHub
learning-design-checklist
Generate a quick compliance checklist from the Four Learning Design Pillars. Use when users want a practical checklist for reviewing content, a quick audit tool, or verification questions for specific pillars.
GitHub
candidate-kb
Manage candidate knowledge base. Use when ingesting CVs, adding profile information, or querying candidate details for resume/cover letter generation.
GitHub
prompt-versioning
Track prompt versions, A/B test variants, and measure prompt performance
GitHub
guardrails-safety
Instrument safety checks, content filters, and guardrails for agent outputs
GitHub
instrumentation-planning
Plan what to measure in AI agent systems using tiered approach
GitHub
session-conversation-tracking
Instrument sessions, conversations, and multi-turn interactions
GitHub
multi-agent-coordination
Instrument multi-agent workflows, handoffs, and parent-child relationships
GitHub
llm-call-tracing
Instrument LLM API calls with proper spans, tokens, and latency
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.