1,847 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.
1,847 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
scikit-learn
davila7/claude-code-templates
Machine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.
quant-analyst
sickn33/agentic-awesome-skills
Build financial models, backtest trading strategies, and analyze market data. Implements risk metrics, portfolio optimization, and statistical arbitrage.
senior-prompt-engineer
alirezarezvani/claude-skills
Use when the user asks to optimize prompts, design prompt templates, evaluate LLM outputs with an eval set, measure RAG retrieval quality, validate agent/tool configurations, analyze token usage, or design structured-output contracts. Covers eval-driven prompt iteration, RAG metrics (relevance, faithfulness, coverage), agent workflow validation, and token/cost budgeting — all model-agnostic, with three stdlib Python tools.
qdrant-vector-search
davila7/claude-code-templates
High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.
data-scientist
sickn33/agentic-awesome-skills
Expert data scientist for advanced analytics, machine learning, and statistical modeling. Handles complex data analysis, predictive modeling, and business intelligence.
crawl4ai-skill
lancelin111/crawl4ai-skill
Web crawling and scraping tool with LLM-optimized output. 网页爬虫爬取工具 | Web crawler, web scraper, spider. DuckDuckGo search, site crawling, dynamic page scraping. 智能搜索爬取 | Free, no API key required.
crawl4ai
brettdavies/crawl4ai-skill
Use when scraping JavaScript-heavy pages or SPAs, crawling multiple URLs concurrently, extracting structured data with reusable CSS/JSON schemas, or building automated web data pipelines. Wraps the Crawl4AI library (`crwl` CLI and Python SDK) with schema-generation patterns for LLM-free extraction. Triggers on crawl4ai, crwl, scrape JS-heavy site, scrape SPA, headless browser scrape, schema-based extraction, batch crawl, sitemap crawl, web data pipeline. SKIP when a static HTML page can be read with `defuddle` / `fetch-web` — those are faster cold-start and don't need a browser.
workflow-runner
jnmetacode/superpowers-zh
在 Claude Code / OpenClaw / Cursor 中直接运行 agency-orchestrator YAML 工作流——无需 API key，使用当前会话的 LLM 作为执行引擎。当用户提供 .yaml 工作流文件或要求多角色协作完成任务时触发。
cubox
olcubo/cubox-cli
Cubox CLI is a callable personal reading memory system that enables you to search, read, and use saved content, perform semantic (RAG-based) queries, access articles, highlights, and metadata, save URLs, update content states, and retrieve annotations and structure such as folders and tags. Use this tool when a task depends on the user’s reading history or requires context from their Cubox library.
geo-llmstxt
zubair-trabzada/geo-seo-claude
Analyzes and generates llms.txt files -- the emerging standard for helping AI systems understand website structure and content. Can validate existing llms.txt files or generate new ones from scratch by crawling the site.
trust-badges-generator
kostja94/marketing-skills
When the user wants to add or optimize trust badges, "Trusted by" logos, security seals, or social proof elements. Also use when the user mentions "trust badges," "trusted by," "security badges," "payment logos," "social proof," "trust seals," "SSL badge," "customer logos," "as seen in," or "trust signals." For press logos, use press-coverage-page-generator.
content-quality-auditor
aaron-he-zhu/aaron-marketing-skills
Use when auditing content quality, E-E-A-T, or publish readiness; runs a typed 80-item CORE-EEAT profile with evidence coverage, veto checks, and a fix plan. Not for structural tags/headers alone — use on-page-seo-checker; not for domain/citation trust — use domain-authority-auditor. 内容质量/EEAT评分
nemoclaw-user-configure-security
nvidia/skills
Presents a risk framework for every configurable security control in NemoClaw. Use when evaluating security posture, reviewing sandbox security defaults, or assessing control trade-offs. Trigger keywords - nemoclaw security best practices, sandbox security controls risk framework, nemoclaw credential storage, openshell provider, api key security, openclaw security controls, nemoclaw security boundary, prompt injection, tool access control.
content-gap-analysis
aaron-he-zhu/aaron-marketing-skills
Use when the user asks to "find content gaps", "竞品写了什么", or "还应该写什么"; builds a competitor-relative coverage map of missing topics, keyword gaps, and editorial-calendar opportunities. Not for raw keyword demand discovery — use keyword-research. 内容缺口/选题规划
amazon-shipping-calculator
nexscope-ai/amazon-skills
Amazon FBA and FBM shipping cost calculator and fulfillment optimization. Dimensional weight analysis, storage fee calculation, removal cost estimation, and fulfillment method comparison. Use when the user asks about Amazon shipping costs, FBA fees, fulfillment costs, storage fees, or shipping calculations.
nemoclaw-user-configure-inference
nvidia/skills
Connects NemoClaw to a local inference server. Use when setting up Ollama, vLLM, TensorRT-LLM, NIM, or any OpenAI-compatible local model server with NemoClaw. Trigger keywords - nemoclaw local inference, ollama nemoclaw, vllm nemoclaw, local model server, openai compatible endpoint, switch nemoclaw inference model, change inference runtime, nemoclaw additional model, nemoclaw sub-agent model, openclaw sub-agent, agents.list, sessions_spawn, vlm-demo, nemoclaw tool calling, ollama tool calls, vllm tool-call-parser, raw json in tui, nemoclaw inference options, nemoclaw onboarding providers, nemoclaw inference routing.
press-coverage-page-generator
kostja94/marketing-skills
When the user wants to create a press coverage page, "As Seen In" section, or media mentions aggregation. Also use when the user mentions "press coverage," "media mentions," "as seen in," "as featured in," "in the news," "press mentions," "media coverage page," or "trusted by publications." For pitching journalists and press releases, use public-relations.
brag
latent-spaces/brag
Turn the current project website into a short, polished, shareable launch video using Hyperframes. Use when someone says "/brag", "let's brag about this", "make a launch video", "turn this into a video", or wants to share what they built. Reads the project code directly — no live URL or screenshots needed.
tlc-spec-driven
tech-leads-club/agent-skills
Feature planning and implementation with 4 adaptive phases (Specify, Design, Tasks, Execute). Auto-sizes depth by complexity. Writes testable requirements in EARS notation, atomic tasks, atomic Conventional Commits, and requirement traceability. Ships deterministic Python validation scripts so structural gates are enforced by code, not memory. Features an independent Verifier (author != verifier, evidence-or-zero), a discrimination sensor, a decision log (STATE.md), a test-coverage matrix, and a self-improving lessons layer. Stack-agnostic and tool-agnostic. Use when (1) planning features, (2) implementing with verification and atomic commits, (3) validating an implementation against a spec. Triggers on "specify feature", "discuss feature", "design", "tasks", "implement", "validate", "verify work", "UAT", "record decision", "pause work", "resume work". Do NOT use for pure architecture decomposition analysis or standalone technical design documents.
rag-implementation
sickn33/agentic-awesome-skills
RAG (Retrieval-Augmented Generation) implementation workflow covering embedding selection, vector database setup, chunking strategies, and retrieval optimization.
amazon-subscribe-save
nexscope-ai/amazon-skills
Subscribe & Save optimization — enrollment, discount tiers, frequency optimization, retention analysis
amazon-brand-registry
nexscope-ai/amazon-skills
Brand Registry enrollment guide — eligibility, application, benefits, A+ Content access, brand protection tools
creative-thinking-for-research
orchestra-research/ai-research-skills
Applies cognitive science frameworks for creative thinking to CS and AI research ideation. Use when seeking genuinely novel research directions by leveraging combinatorial creativity, analogical reasoning, constraint manipulation, and other empirically grounded creative strategies.
amazon-vine-program
nexscope-ai/amazon-skills
Vine review program strategy — enrollment, product selection, timing, review quality maximization
marketing-psychology
sickn33/agentic-awesome-skills
Apply behavioral science and mental models to marketing decisions, prioritized using a psychological leverage and feasibility scoring system.
llm-icon-finder
daymade/claude-code-skills
Finding and accessing AI/LLM model brand icons from lobe-icons library. Use when users need icon URLs, want to download brand logos for AI models/providers/applications (Claude, GPT, Gemini, etc.), or request icons in SVG/PNG/WEBP formats.
deep-learning-python
mindrally/skills
Guidelines for deep learning development with PyTorch, Transformers, Diffusers, and Gradio for LLM and diffusion model work.
sales-engineer
alirezarezvani/claude-skills
Analyzes RFP/RFI responses for coverage gaps, builds competitive feature comparison matrices, and plans proof-of-concept (POC) engagements for pre-sales engineering. Use when responding to RFPs, bids, or proposal requests; comparing product features against competitors; planning or scoring a customer POC or sales demo; preparing a technical proposal; or performing win/loss competitor analysis. Handles tasks described as 'RFP response', 'bid response', 'proposal response', 'competitor comparison', 'feature matrix', 'POC planning', 'sales demo prep', or 'pre-sales engineering'.
resume-intelligence
rahulbsw/resume-builder
Use when the user wants to build or tailor a resume, detailed interview resume, career master run, career coach, interview coach, career knowledge vault, Obsidian/LLM wiki, professional DOCX template, visual HTML/PDF resume, Canva-ready or Figma-ready resume, ATS/recruiter scorecard, cover letter, LinkedIn recommendations, interview prep, project interview briefs, technical-stack guide, job match scoring, redaction review, or career evidence summary from LinkedIn content, local project docs, Confluence, Jira, public GitHub, GitHub Enterprise, open-source work, profile pictures, or job postings. Trigger for resume drafting, tailoring, full career timeline, roles and responsibilities, impact metrics, ATS checks, keyword matching, DOCX generation, visual design tools, Canva/Figma handoff, browser/PDF rendering, project evidence extraction, recursive workspace analysis, durable career memory, tool auditing, job search, and interview prep.
coverage-tracker
elvisun/newsjack
Run a Google Alerts-style keyword coverage tracker. Uses news-search for recent keyword queries, lets the LLM dedupe and classify real features versus junk, stores decisions in SQLite, and alerts only on new real coverage.
coverage-tracker-setup
elvisun/newsjack
Set up a lightweight Google Alerts-style coverage tracker for any number of keywords. Creates a tracker config with each keyword and what it actually means, then hands recurrence to the user's agent harness.
n8n-code-tool
czlonkowski/n8n-skills
Write JavaScript or Python for the n8n Custom Code Tool (@n8n/n8n-nodes-langchain.toolCode) — the AI-agent-callable tool, NOT the workflow Code node. Use when building a Code Tool attached to an AI Agent, writing code that an LLM will invoke, parsing the `query` input, returning a string result, defining an input schema for structured arguments (specifyInputSchema, jsonSchemaExample, DynamicStructuredTool), or troubleshooting errors like \"Wrong output type returned\", \"No execution data available\", \"The response property should be a string, but it is an object\", \"Cannot assign to read only property 'name'\", or an AI agent that refuses to call the tool. Covers the critical differences between Code node and Code Tool: return format (string vs `[{json:{...}}]`), unavailability of `$fromAI`/`$input`/`$helpers` in the Code Tool sandbox, naming rules for AI invocation, and when to use `toolWorkflow`/HTTP Request Tool instead.
grepai-search-advanced
yoanbernabeu/grepai-skills
Advanced search options in GrepAI. Use this skill for JSON output, compact mode, and AI agent integration.
capacitor-mcp
cap-go/capgo-skills
Model Context Protocol (MCP) tools for Capacitor mobile development. Covers Ionic/Capacitor component APIs, plugin documentation, CLI commands, and AI-assisted development via MCP. Use this skill when users want to integrate AI agents with Ionic/Capacitor tooling.
chat-format
ruvnet/ruflo
Format prompts for different LLM providers with chat templates and HNSW-powered context retrieval
revenue-operations
alirezarezvani/claude-skills
Analyzes sales pipeline health, revenue forecasting accuracy, and go-to-market efficiency metrics for SaaS revenue optimization. Use when analyzing sales pipeline coverage, forecasting revenue, evaluating go-to-market performance, reviewing sales metrics, assessing pipeline analysis, tracking forecast accuracy with MAPE, calculating GTM efficiency, or measuring sales efficiency and unit economics for SaaS teams.
llm-config
ruvnet/ruflo
Configure RuVLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation
gjalla-test-audit
gjalla/engineering
Audit a test suite to find tests that give false confidence — tests that encode bugs, duplicate coverage, or are so heavily mocked they can't catch real regressions. Use to improve robustness, audit coverage, or harden a risky area.
developing-genkit-python
genkit-ai/skills
Develop AI-powered applications using Genkit in Python. Use when the user asks about Genkit, AI agents, flows, or tools in Python, or when encountering Genkit errors, import issues, or API problems.
prompt-guard
orchestra-research/ai-research-skills
Meta's 86M prompt injection and jailbreak detector. Filters malicious prompts and third-party data for LLM apps. 99%+ TPR, <1% FPR. Fast (<2ms GPU). Multilingual (8 languages). Deploy with HuggingFace or batch processing for RAG security.
llm-app-patterns
sickn33/agentic-awesome-skills
Production-ready patterns for building LLM applications, inspired by [Dify](https://github.com/langgenius/dify) and industry best practices.
om-setup-agent-pipeline
open-mercato/skills
One-time pipeline configurator. Inspects the repo (default branch, validation scripts, labels), asks a few questions, writes .ai/agentic.config.json — the file every other skill reads — installs the tracker descriptor, and generates missing project docs (SDLC.md, CODE_REVIEW.md, BACKWARD_COMPATIBILITY.md, AGENTS.md starter). Re-run when the toolchain or label taxonomy changes. Verifies cross-skill coverage and prints the install command for missing skills.
pdf-to-markdown
pspdfkit-labs/nutrient-skills
Extract text from a PDF as structured Markdown for analysis, RAG, or LLM context. Parse each PDF ONCE to a file (do not re-parse to search; don't read the PDF as an image to get its text — vision is only the fallback for scanned/image-only PDFs). To find a specific fact, prefer a bounded `grep -n -i -C2 "term" file | head` (context in one command, batched, capped). Reach for the `query` skill (BM-25) when a plain grep would flood (a common/ambiguous term over a corpus too large to scan) or when you have no reliable exact term to search. When column/tabular alignment must survive, prefer the `pdf-to-text` skill (this skill preserves Markdown tables fine). ALWAYS use this skill when the user has a PDF and needs its content as text or Markdown — even if they don't explicitly say "convert to markdown".
llm-wiki
alirezarezvani/claude-skills
Use when building or maintaining a persistent personal knowledge base (second brain) in Obsidian where an LLM incrementally ingests sources, updates entity/concept pages, maintains cross-references, and keeps a synthesis current. Triggers include "second brain", "Obsidian wiki", "personal knowledge management", "ingest this paper/article/book", "build a research wiki", "compound knowledge", "Memex", or whenever the user wants knowledge to accumulate across sessions instead of being re-derived by RAG on every query.
distributed-llm-pretraining-torchtitan
orchestra-research/ai-research-skills
Provides PyTorch-native distributed LLM pretraining using torchtitan with 4D parallelism (FSDP2, TP, PP, CP). Use when pretraining Llama 3.1, DeepSeek V3, or custom models at scale from 8 to 512+ GPUs with Float8, torch.compile, and distributed checkpointing.
autogpt-agents
orchestra-research/ai-research-skills
Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.
marketplace-fulfillment
vtex/skills
Apply when implementing fulfillment, invoice, or tracking logic for VTEX marketplace seller connectors. Covers the External Seller fulfillment protocol: fulfillment simulation (checkout and indexation), order placement with reservation id, order dispatch (authorize fulfillment), OMS invoice and tracking APIs, and partial invoicing. Use for seller-side services that must answer within the simulation SLA and integrate with VTEX marketplace order management.
ai-agents-architect
davila7/claude-code-templates
Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Use when: build agent, AI agent, autonomous agent, tool use, function calling.
neo4j-graphrag-skill
neo4j-contrib/neo4j-skills
Build GraphRAG retrieval pipelines on Neo4j using the neo4j-graphrag Python
tiktok-shop-fulfillment
nexscope-ai/ecommerce-skills
Fulfillment setup — Fulfilled by TikTok, self-fulfillment, shipping templates, return policies
competitor-intel
ognjengt/founder-skills
Analyzes competitors using web research to provide verified business metrics, actionable leverage strategies, and predicted next moves. Use when user needs competitive intelligence, competitor analysis, market positioning insights, or strategic leverage opportunities.
evaluate-rag
hamelsmu/evals-skills
>
bilibili-cli
public-clis/bilibili-cli
CLI skill for Bilibili (哔哩哔哩, B站) with token-efficient YAML output for AI agents to browse videos, users, search, trending, dynamics, favorites, and interactions from the terminal
proxmox-admin
bastos/skills
Administers Proxmox VE hosts, creates and manages VMs with qm, manages LXC containers with pct, configures storage, networking, clusters, and automates provisioning tasks via the Proxmox CLI.
ai-agent-development
sickn33/agentic-awesome-skills
AI agent development workflow for building autonomous agents, multi-agent systems, and agent orchestration with CrewAI, LangGraph, and custom agents.
anthropic-claude-development
mindrally/skills
Expert guidance for Anthropic Claude API development including Messages API, tool use, prompt engineering, and building production applications with Claude models.
usage-based-billing
dodopayments/skills
Guide for charging directly per measured API call, token, storage unit, or other consumption using meters, stable usage events, aggregation, free thresholds, and metered subscriptions.
building-mcp-servers
celigo/ai
Build Celigo MCP server resources -- endpoints that expose Tools and builder-mode APIs to external AI agents and MCP clients. Use when creating MCP servers, linking tools or APIs, or configuring annotations and overrides.
jax-best-practices
mindrally/skills
Expert in JAX for high-performance numerical computing and machine learning
systems-paper-writing
orchestra-research/ai-research-skills
Comprehensive guide for writing systems papers targeting OSDI, SOSP, ASPLOS, NSDI, and EuroSys. Provides paragraph-level structural blueprints, writing patterns, venue-specific checklists, reviewer guidelines, LaTeX templates, and conference deadlines. Use this skill for all systems conference paper writing.