llm-ai
3
episode-start
Start a new learning episode in the self-learning memory system with proper context. Use this skill when beginning a new task that should be tracked for learning from execution patterns.
d-o-hub
data-ai
sorting
stars
current ordering strategy
query
all entries
refine the visible subset
llm-ai
3
init-project
Initialize projects with agentic coding structure. Use when setting up a new project, adding AI agent support to existing project, or when user says "init", "initialize", "setup project", or "scaffold". Creates AGENTS folder, documentation templates, and _NOTES scratch space.
product-on-purpose
data-ai
llm-ai
3
claude-agent-sdk
Build production AI agents using the Claude Agent SDK (TypeScript/Python). Use this skill when the user asks about: (1) Building AI agents with Claude, (2) Using the @anthropic-ai/claude-agent-sdk or claude-agent-sdk packages, (3) Implementing agent features like tools, hooks, subagents, MCP integration, or sessions, (4) Migrating from Claude Code SDK to Agent SDK, (5) Configuring permissions, budgets, or custom tool access.
jeongsk
data-ai
llm-ai
3
session-start-hook
Configure SessionStart hooks for Claude Code on the web. Use when setting up a repository to run on cloud infrastructure, installing dependencies, or initializing environments for remote Claude Code sessions.
cameronsjo
data-ai
llm-ai
3
agentuity-cli-cloud-vector-search
Search for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operations
agentuity
data-ai
llm-ai
3
vllm-deployment
Deploy vLLM for high-performance LLM inference. Covers Docker CPU/GPU deployments and cloud VM provisioning with OpenAI-compatible API endpoints.
stakpak
data-ai
llm-ai
3
session-logger
Saves conversation history to session log files. Use when user says "保存对话", "保存对话信息", "记录会话", "save session", or "save conversation". Automatically creates timestamped session log in sessions/ directory.
Charon-Fan
data-ai
llm-ai
3
mcp-builder
LLMが外部サービスと対話するための適切に設計されたツールを通じて、高品質なMCP (Model Context Protocol) サーバーを作成するためのガイド。Python (FastMCP)、Node/TypeScript (MCP SDK)、Rust (Tokio)で、外部APIやサービスを統合するMCPサーバーを構築する際に使用します。
chronista-club
data-ai
llm-ai
3
agilab-local-llm
Guidance for using local LLM backends (Ollama/GPT-OSS) inside AGILAB with correctness-first prompts.
ThalesGroup
data-ai
llm-ai
3
sage-agent-execution
Sage Agent 执行引擎开发指南，涵盖 UnifiedExecutor、Subagent、Lifecycle 管理
majiayu000
data-ai
llm-ai
3
developing-llamaindex-systems
Production-grade agentic system development with LlamaIndex in Python. Covers semantic ingestion (SemanticSplitterNodeParser, CodeSplitter, IngestionPipeline), retrieval strategies (BM25Retriever, hybrid search, alpha weighting), PropertyGraphIndex with graph stores (Neo4j), context RAG (RouterQueryEngine, SubQuestionQueryEngine, LLMRerank), agentic orchestration (ReAct, Workflows, FunctionTool), and observability (Arize Phoenix). Use when asked to "build a LlamaIndex agent", "set up semantic chunking", "index source code", "implement hybrid search", "create a knowledge graph with LlamaIndex", "implement query routing", "debug RAG pipeline", "add Phoenix observability", or "create an event-driven workflow". Triggers on "PropertyGraphIndex", "SemanticSplitterNodeParser", "CodeSplitter", "BM25Retriever", "hybrid search", "ReAct agent", "Workflow pattern", "LLMRerank", "Text-to-Cypher".
SpillwaveSolutions
data-ai
llm-ai
3
frontend-master
Frontend UI/UX work with Gemini CLI in --yolo mode. Use when (1) modifying visual/styling elements in frontend files (.tsx, .jsx, .vue, .svelte, .css), (2) implementing UI components, (3) adjusting layout, colors, spacing, typography, or animations, (4) creating responsive designs, or (5) any frontend task involving how things LOOK rather than how they WORK.
Mineru98
data-ai
llm-ai
3
secondbrain-note
This skill should be used when the user asks to "create note", "capture thought", "save this", "document idea", "write note", "jot down", "quick note", "remember this", "capture this", or mentions wanting to save knowledge, ideas, or learnings for later reference in their secondbrain.
sergio-bershadsky
data-ai
llm-ai
3
skill-recommender
사용자 요청에 적합한 스킬을 자동으로 인식하고 추천합니다. 명시적 스킬 요청 없이도 설치된 스킬 중 도움이 될 수 있는 스킬을 발견하여 제안합니다. 모든 사용자 요청에서 암묵적으로 활성화됩니다.
jiunbae
data-ai
llm-ai
3
improve-instructions
Analyzes conversation history to improve CLAUDE.md files. Use when you notice patterns in how Claude misunderstands requests, want to consolidate repeated guidance, or improve instruction clarity based on actual usage.
philoserf
data-ai
llm-ai
3
mcs-control
Control vehicle with natural language. Use when user wants to warm up/cool down the car, lock/unlock doors, start/stop engine, check battery/fuel/location/status, or control charging. Translates phrases like "warm up the car" into mcs CLI commands.
cv
data-ai
llm-ai
3
council-participant
Participate in Council multi-agent collaboration sessions. Use when asked to join a council session, collaborate with other agents, or when given a council session ID to participate in.
amterp
data-ai
llm-ai
3
reinforcement-learning
Q-learning, DQN, PPO, A3C, policy gradient methods, multi-agent systems, and Gym environments. Use for training agents, game AI, robotics, or decision-making systems.
pluginagentmarketplace
data-ai
llm-ai
3
lockfile
Use when creating llmring.lock file for new project (REQUIRED for all applications), configuring model aliases with semantic task-based names, managing environment-specific profiles (dev/staging/prod), or setting up fallback models - lockfile creation is mandatory first step, bundled lockfile is only for llmring tools
juanre
data-ai
llm-ai
3
adk-agent-builder
Build production-ready AI agents using Google's Agent Development Kit with Claude integration, React patterns, multi-agent orchestration, and comprehensive tool libraries
BbgnsurfTech
data-ai