1,848 free skills
AI & ML skills
Skills for AI/ML work — LLM prompt engineering, RAG pipelines, vector databases, fine-tuning, and agent orchestration.
Sourced from real, public repositories — synced daily, never invented.
1,848 free skills
Skills for AI/ML work — LLM prompt engineering, RAG pipelines, vector databases, fine-tuning, and agent orchestration.
Sourced from real, public repositories — synced daily, never invented.
15 tools across six categories
13 of them never send your data anywhere
Free · No signup · No trial clock
SEE THE DIRECTORY
rag-architect
yo-steven/claude-skills-exploration-20260522
Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, context augmentation, similarity search, or embedding-based indexing.
rag-architect
zroman88/claude-skills-to-cursor
Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, context augmentation, similarity search, or embedding-based indexing.
evaluate
takagoto/rag-learning-academy
Evaluate your RAG pipeline with metrics
skool-rag
sanketkothiya2/habitflow
Query Skool community content using RAG pipeline with vector search. Use when user asks to search Skool knowledge, find community answers, or query Skool content.
agentic-rag
sangampandey/genaipatternsskills
>-
benchmark
takagoto/rag-learning-academy
Benchmark your RAG pipeline's performance
production-rag
gnkbhuvan/ai-engineering-gates
|
sandbox
takagoto/rag-learning-academy
Spin up a minimal RAG pipeline instantly to experiment with
haystack-rag
bidewio/better-openclaw
Build production-ready RAG pipelines with Haystack
ai-ml
ncdevshiv/nc-skills-mcp
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
vector-database-engineer
alexander-kastil/skills-collection
Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similar
vector-databases
eliranabu/schoolclaudeskills
>
Vector Search Designer
eddiebelaval/squire
Design vector similarity search systems for semantic retrieval at scale
vector-db
dennisonbertram/go-code
Work with vector databases for semantic search: Chroma, Qdrant, Weaviate. Embeddings, similarity search, collections, upsert, query patterns. Trigger: when using vector databases, semantic search, embeddings, Chroma, Qdrant, Weaviate, similarity search, RAG, vector search
vector-db
librefang/librefang-registry
Vector database expert for embeddings, similarity search, RAG patterns, and indexing strategies
vectorize
poly-gents/syncolab-skills
Runs semantic RAG and vector search over indexed knowledge via Vectorize MCP tools discovered at runtime. Use for memory retrieval, knowledge-base lookup, and evidence-backed answers from chunks.
vectorize
realproject7/svgsmith
Convert a raster image (PNG/JPG) into clean, editable SVG using the svgsmith CLI. Use when the user wants to vectorize, trace, or turn a bitmap/logo/icon/illustration/pixel-art image into SVG. Picks the engine by intent, self-verifies the output quality, and retries before reporting.
milvus-vectors
bidewio/better-openclaw
Scalable vector database with Milvus
fine-tuning-expert
stephanj/claude-code-collections
Use when fine-tuning LLMs, training custom models, or optimizing model performance for specific tasks. Invoke for parameter-efficient methods, dataset preparation, or model adaptation.
fine-tuning-expert
nkseth/copilot-dev-skills
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.
fine-tuning-expert
thienanthx/skill-web-design
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.
fine-tuning-security
maruakshay/mii-ai-security
Review a fine-tuning pipeline for poisoned training data, backdoor triggers, RLHF manipulation, adapter-layer tampering, dataset contamination, and evaluation gaps that mask behavioral drift in fine-tuned or adapted models.
fine-tuning-expert
yo-steven/claude-skills-exploration-20260522
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.
fine-tuning-expert
zroman88/claude-skills-to-cursor
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.
fine-tuning-expert
hosseinmirzapur/opencode-skills
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.
fine-tuning-expert
krypton-kr36/claude-code-skills
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.
llm-finetuning
librefang/librefang-registry
LLM fine-tuning expert for LoRA, QLoRA, dataset preparation, and training optimization
fine-tuning-expert
xiangu152/my_claude_skills
LLM 微调专家。使用场景：微调 LLMs、训练自定义模型、适配基础模型进行特定任务。用于配置 LoRA/QLoRA 适配器、准备 JSONL 训练数据集、设置超参数、适配器训练、迁移学习、Hugging Face PEFT 微调、指令微调、RLHF、DPO 或量化部署微调模型。触发词：LoRA、QLoRA、PEFT、微调、适配器调优、LLM 训练、模型训练、自定义模型。
modal-finetuning
jamesrobmccall/modal-skills
>-
ai-fine-tuning-guide
winbda/claude-skills-collection
|
llm-fine-tuning-skill
autobyteus/autobyteus-skills
Run a staged LLM fine-tuning workflow from bootstrap through investigation, requirements and success criteria, implementation planning, implementation plus data preparation, training and validation, code review, docs sync, and handoff. Use for supervised fine-tuning, preference tuning, reinforcement-style training, and other LLM adaptation work with reproducible empirical validation.
ai-agent-development
ranbot-ai/awesome-skills
AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
ai-agent-development
sinhoneyy/master-skills
AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
agent-workflow
d-padmanabhan/agent-engineering-handbook
Structured development workflow with Plan/Implement/Review phases, QA validation, context management, and audit requirements. Enforces explicit authorization for remote mutations, risk-based checkpoints, and proportional audit reports. Use when working on complex tasks, multi-file changes, or when the user mentions planning, workflow, implementing features, or needs structured development guidance.
ai-workflow-architect
jpeslar1/john-peslar-ai-skills
Design practical AI workflows, agents, automations, SOPs, and human approval loops for business operations. Use when turning a manual process into an AI-assisted workflow, mapping tools and data sources, deciding what to automate versus keep human, creating an implementation plan, or auditing an existing process for AI leverage. Trigger on "automate this", "AI workflow", "AI agent", "SOP", "manual process", "operations automation", "Claude workflow", "Codex workflow", or "where can AI save time?
workflow-agent
koreanleechanghyun/claude-workflow
Internal unified skill for all workflow agent roles (explorer, planner, reporter, validator, worker). Provides role-specific guidance for each stage of the workflow: PLAN (planner), WORK (worker/explorer), validation (validator), and REPORT (reporter). Internally invoked by orchestrator; not intended for direct user invocation.
workflows
0xsalome/at-an-arbor
Daily AI collaboration workflows. Triggers: 'create task for Gemini', 'handoff to Gemini', 'structured workflow', 'multi-AI collaboration'.
workflow-schema-tuning
breaking-brake/cc-wf-studio
Use when modifying `resources/workflow-schema.json` in cc-wf-studio to influence how AI agents generate workflows via the cc-workflow-ai-editor skill. Triggers include "AIが特定のノードタイプを選んでくれない", "ワークフロー生成のバイアスを調整したい", "スキーマの description を変えたい", "新しいノードタイプを追加したい", "嘘の制約がスキーマに混じっていないか確認したい". Covers what the schema actually does (instructions to AI, not runtime constraints), the design philosophy (align direction, do not prescribe rules), the build pipeline (.json → .toon auto-generated), and known bias sources to audit.
context-loading
norfolk-group/hbg-screens
Token-efficient context loading protocol. Maps common task types to the minimum required skills. Load this first to determine which other skills are needed.
context-engineering
akash-joshi/agent-skills
The new rules of context engineering for Claude 5 generation models. Anthropic removed ~80% of Claude Code's system prompt with no eval loss because judgement replaces rules. Load when writing or auditing system prompts, CLAUDE.md, AGENTS.md, or skills for a modern coding agent; when a prompt or skill feels bloated; when the agent seems to be waffling instead of acting; when you're tempted to add "ALWAYS do X" / "NEVER do Y" rules; or when consolidating scattered instructions into a coherent context tree.
pump-mcp-server
x402agent/openclawd-ts
Model Context Protocol server exposing 53 tools, 3 resource types, and 3 prompts for AI agent consumption — quoting, building transactions, fee management, analytics, AMM operations, social fees, wallet operations over stdio transport.
mmcp-core
ragavrida/mmcp
Use this skill when the user wants to work with MMCP (Multi-Model Context Protocol) — building AI pipelines, configuring intelligent model routing, managing costs, setting up MCP servers for Claude/Codex, or using the MMCP SDK. Covers architecture, configuration, CLI commands, MCP server setup, and all APIs.
mcp-developer
ngxtm/devkit
Use when building MCP servers or clients that connect AI systems with external tools and data sources. Invoke for MCP protocol compliance, TypeScript/Python SDKs, resource providers, tool functions.
mcp-developer
zacklecon/claude-skills
Use when building MCP servers or clients that connect AI systems with external tools and data sources. Invoke for MCP protocol compliance, TypeScript/Python SDKs, resource providers, tool functions.
mcp-builder
nickbevers/claude-rules
Build Model Context Protocol servers and tools for AI agent integration. Triggers on "build MCP", "MCP server", "MCP tool", "model context protocol", "agent tool", "build tool for Claude".
r-mcptools
arthurgailes/r-package-skills
Use when code loads or uses mcptools (library(mcptools), mcptools::), connecting AI agents to R sessions via MCP, or exposing R as an MCP server for Claude Code or VS Code
communicating-agents
francisco-perez-sorrosal/praxion
>
prompt-engineering
berekvolgyipeter/dotclaude
Expert prompt engineering guidance with proven techniques and anti-patterns. Invoke this skill whenever writing, editing, reviewing, or refining any prompt that will be interpreted by an AI model — system prompts, agent instructions, tool-use prompts, command templates, multi-step task prompts, or agentic workflows. Use it even when the task doesn't explicitly mention 'prompt engineering' — if the output is instructions for an AI, this skill makes them significantly better. Trigger for both user-requested prompt work and when autonomously generating prompts as part of a larger task (e.g. creating skills, writing agent instructions, drafting review templates).
RAG
clawic/skills
Designs, tunes, and debugs retrieval-augmented generation (RAG) pipelines: chunking, embeddings, hybrid retrieval, reranking, and grounded answers. Use when a system returns the wrong passages, misses a document that is indexed, cites nothing, or hallucinates over good context; when choosing a vector store, an embedding model, a chunk size, or a reranker; when similarity scores collapse after a model swap; when a metadata filter empties the result set; when answers ignore mid-context facts; when follow-up questions retrieve the wrong thing; when indexing PDFs, scanned pages, tables, code, or transcripts; when GDPR erasure, tenant isolation, or prompt injection from indexed documents is the problem; or when per-query cost or p95 latency has to come down. Covers reindex migrations, corpus freshness, evaluation sets, and agentic and graph retrieval. Not for splitter internals (`rag-chunking`), scoring rubrics (`rag-evaluation`), or LangChain APIs (`langchain`).
rag-engineer
bcastelino/agent-skills-kit
Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications. Use when: building RAG, ...
vector-database-engineer
jiho00seo-dev/antigravity-awsome-skill
Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similar
Fine-Tuning Assistant
eddiebelaval/squire
Guide model fine-tuning processes for customized AI performance
together-fine-tuning
zainhas/skills
LoRA, full fine-tuning, DPO preference tuning, VLM training, function-calling tuning, reasoning tuning, and BYOM uploads on Together AI. Reach for it whenever the user wants to adapt a model on custom data rather than only run inference, evaluate outputs, or host an existing model.
ai-fine-tuning-plan
winbda/claude-skills-collection
|
ai-automation-workflow
kavionai/kavion
Use this skill for prompts, Gemini CLI extensions, MCP servers, agent workflows, tool integrations, embeddings, retrieval, LLM features, and automation scripts.
rag
89jobrien/langchainx
VectorStore trait, Embedder trait, Retriever, document loaders, and ConversationalRetrievalQA.
databricks-parsing
databricks-solutions/lakebase-online-ml
Parse documents (PDF, DOCX, PPTX, images) using ai_parse_document, or build custom RAG pipelines. Use when the user asks to parse documents or build a custom RAG.
dotnet
appwrite/claude-plugin
Appwrite .NET SDK skill. Use when building server-side C# or .NET applications with Appwrite, including ASP.NET and Blazor integrations. Covers user management, database/table CRUD, file storage, and functions via API keys.
go
appwrite/claude-plugin
Appwrite Go SDK skill. Use when building server-side Go applications with Appwrite. Covers user management, database/table CRUD, file storage, and functions via API keys. Uses per-service packages and functional options pattern.
appwrite-go
appwrite/codex-plugin
Appwrite Go SDK skill. Use when building server-side Go applications with Appwrite. Covers user management, database/table CRUD, file storage, and functions via API keys. Uses per-service packages and functional options pattern.