250 free skills · page 3 of 5
AI & ML skills
Skills for AI/ML work — LLM prompt engineering, RAG pipelines, vector databases, fine-tuning, and agent orchestration.
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technical-writingriekelt/technical-writerUse when writing, restructuring, or revising any technical document - specs, design docs, READMEs, reference documentation, plans, reports - or any prose that must survive being read twice by someone in a hurry. Encodes the house style, the truth and sourcing rules, and the banned-constructions list. Use whenever you produce repository-bound text longer than a paragraph, even if nobody says "document". Foundation for the sibling document-type skills.AI & ML3.6k
ralph-loopandrelandgraf/fullstackrecipesComplete setup for automated agent-driven development. Define features as user stories with testable acceptance criteria, then run AI agents in a loop until all stories pass.AI & ML3.6k
detection-engineering-coverage-evaluationgoogle/skillsThis skill guides the agent through an end-to-end detection engineering lifecycle using Google SecOps MCP tools. It handles multiple Threat Detection Opportunities (TDOs) and ensures exhaustive coverage evaluation for all generated synthetic events.AI & ML3.5k
fine-tuning-expertjeffallan/claude-skillsUse 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.AI & ML3.5k
claude-to-deerflowbytedance/deer-flowInteract with DeerFlow AI agent platform via its HTTP API. Use this skill when the user wants to send messages or questions to DeerFlow for research/analysis, start a DeerFlow conversation thread, check DeerFlow status or health, list available models/skills/agents in DeerFlow, manage DeerFlow memory, upload files to DeerFlow threads, or delegate complex research tasks to DeerFlow. Also use when the user mentions deerflow, deer flow, or wants to run a deep research task that DeerFlow can handle.AI & ML3.5k
unity-cliunity-technologies/skillsUse when interacting with Unity CLI from the terminal, or to control a running/connected Unity Editor from the command line — create or modify GameObjects, edit scenes and assets, inspect the hierarchy, and run C# in a live Editor instead of hand-editing scene or asset files. Also install, upgrade or uninstall editors, create, list or open projects, manage modules, manage licenses, check auth status, read logs, browse Unity releases, build/test projects, configure the Unity MCP server for AI agents, or run any other Unity CLI operation. For a guided idea-to-running-project flow for a brand-new game, use the new-unity-project skill instead.AI & ML3.4k
alliumjuxt/alliumGive your AI agents something more useful than a prompt. Velocity through clarity.AI & ML3.3kdiagramming-processesriekelt/technical-writerUse when a business process, workflow, lifecycle, or interaction between systems needs a diagram - a flow that prose serializes badly, a state machine, a message sequence, an enterprise process map - or when drawing the process documentation of a legacy campaign. Encodes diagrams-as-source, the notation ladder from ArchiMate to PlantUML, the kind-per-question table, behavior-level participants, the diagram index, and the same-change maintenance rule. Use whenever a document needs a graph rather than more paragraphs, even if nobody says "PlantUML".AI & ML3.2k
valyu-best-practicesvalyuai/skillsComplete Valyu API toolkit for AI agents. Use this skill when asked to perform real-time search across web, academic, medical, transportation, financial sources, content extraction from URLs, AI-powered answers with citations, or comprehensive deep research reports.AI & ML3.2k
wpdswordpress/agent-skillsUse when building UIs leveraging the WordPress Design System (WPDS) and its components, tokens, patterns, etc.AI & ML3.1k
llm-prompt-injectionyaklang/hack-skillsAlso load JAILBREAK_PATTERNS.md when you need: - Categorized jailbreak technique library (DAN, developer mode, hypothetical scenarios, translation bypass) - Multi-step escalation patterns - Code-wrapping and ASCII art injection techniquesAI & ML2.9k
smuxshawnpana/smuxControl tmux panes and communicate between AI agents. Use this skill whenever the user mentions tmux panes, cross-pane communication, sending messages to other agents, reading other panes, managing tmux sessions, or interacting with processes running in tmux. Includes tmux-bridge CLI for agent-to-agent messaging and raw tmux commands for direct session control.AI & ML2.9k
recsys-pipeline-architectwshobson/agentsDesign composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced X For You algorithm. Use when building any system that picks "the top K items for a (user, context)" — content feeds, search ranking, RAG rerankers, task prioritizers, notification triage, ad selection.AI & ML2.9k
assistant-mcpgrafana/skillsConnect AI coding agents (Claude Code, Cursor, VS Code, OpenAI Codex) to Grafana Cloud via the mcp-grafana Model Context Protocol server. Installs the server with go install, generates a Grafana service-account token, wires ~/.claude/settings.json or ~/.cursor/mcp.json with the command + env block, runs --disable-write for safer read-only sessions, switches to SSE transport for team-shared / VS Code setups, and verifies with /mcp + a list_datasources round-trip. Use when connecting Claude Code to Grafana, setting up MCP for Grafana, configuring the Grafana MCP server, using Grafana tools in Cursor/VS Code, querying Grafana from an AI agent, sharing the MCP server across a team — even when the user says "give my agent Grafana access", "let Claude see my metrics", or "Cursor + Grafana" without saying "MCP".AI & ML2.8k
earnings-analysisanthropics/financial-servicesCreate professional equity research earnings update reports (8-12 pages, 3,000-5,000 words) analyzing quarterly results for companies already under coverage. Fast-turnaround format focusing on beat/miss analysis, key metrics, updated estimates, and revised thesis. Includes 1-3 summary tables and 8-12 charts. Use when user requests "earnings update", "quarterly update", "earnings analysis", "Q1/Q2/Q3/Q4 results", or post-earnings report.AI & ML2.8k
cassdicklesworthstone/coding_agent_session_searchCoding Agent Session Search - unified CLI/TUI to index and search local coding agent history from Claude Code, Codex, Gemini, Cursor, Aider, ChatGPT, Pi-Agent, Factory, and more. Purpose-built for AI agent consumption with robot mode.AI & ML2.8k
academic-writingjamditis/claude-skills-journalismScholarly writing and research compliance. Use for CRediT, preregistration, Plan S, Nelson Memo, preprints, ORCID, LLM disclosure.AI & ML2.8k
platform-widget-generateforcedotcom/sf-skillsUse this skill to author a complete HXL WidgetBundle (UEM body + schema.json + -meta.xml). TRIGGER when: user asks for a widget, mosaic, fragment, card, or rich UI surface for any subject, domain, feature, or entity noun; the prompt names only an entity or data shape without invoking Lightning Types, CLTs, or Apex-backed types. DO NOT TRIGGER when: the prompt explicitly says 'Lightning Type', 'CLT', 'Custom Lightning Type', 'Apex-backed type', or references '@apexClassType/...' (use platform-lightning-type-widget-coordinate); authoring a custom-LWC renderer for a Custom Lightning Type (use platform-custom-lightning-type-generate); or editing only an LWC component.AI & ML2.8k
writing-fragmentsvinvcn/mattpocock-skills-zh-cnWriting, explore——挖掘原始 fragments，暂不施加任何结构。AI & ML2.7k
bencium-aeobencium/bencium-marketplaceGenerate AEO-optimized content (Answer Engine Optimization) for AI search visibility - ChatGPT, Claude, Gemini, AI Overviews. Use when optimizing websites for AI citations, creating FAQ schemas, evidence panels, or analyzing content for LLM extraction readiness.AI & ML2.7k
chunking-strategygiuseppe-trisciuoglio/developer-kitProvides chunking strategies for RAG systems. Generates chunk size recommendations (256-1024 tokens), overlap percentages (10-20%), and semantic boundary detection methods. Validates semantic coherence and evaluates retrieval precision/recall metrics. Use when building retrieval-augmented generation systems, vector databases, or processing large documents.AI & ML2.7k
create-agentopenrouterarchived/agent-skillsBootstrap a modular AI agent with OpenRouter SDK, extensible hooks, and optional Ink TUIAI & ML2.7k
pyrefly-type-coveragepytorch/pytorchMigrate a file to use stricter Pyrefly type checking with annotations required for all functions, classes, and attributes.AI & ML2.7k
humanizerdaleseo/korean-skillsAI가 생성한 한국어 텍스트의 특징적인 패턴을 감지하고 자연스러운 인간의 글쓰기로 변환합니다. 과학적 언어학 연구(KatFishNet 논문, 94.88% AUC 정확도)에 기반합니다. 쉼표 과다, 띄어쓰기 경직성, 품사 다양성, AI 어휘 과용, 번역투(에 대해/통해/되어진다), 대명사 과다, 복수형 과다, 구조적 단조로움 등 40가지 패턴을 S1/S2/S3 심각도로 분석합니다. ChatGPT/Claude/Gemini가 생성한 한국어 텍스트를 자연스럽게 만들거나 LLM 출력에서 AI 흔적을 제거할 때 사용하세요.AI & ML2.7k
ml-adoption-playbookaffaan-m/eccEnd-to-end methodology for AI agents and software engineers to add machine learning algorithms to existing non-ML codebases. Covers problem framing, data readiness, architectural decoupling, and baseline model integration. Use when adding a machine learning capability to a codebase that has none, from problem framing through a baseline model.AI & ML2.6klangchain4j-rag-implementation-patternsgiuseppe-trisciuoglio/developer-kitProvides Retrieval-Augmented Generation (RAG) implementation patterns with LangChain4j for Java. Generates document ingestion pipelines, embedding stores, vector search, and semantic search capabilities. Use when building chat-with-documents systems, document Q&A over PDFs or text files, AI assistants with knowledge bases, semantic search over document repositories, or knowledge-enhanced AI applications with source attribution.AI & ML2.6k
convex-file-storagewaynesutton/convexskillsComplete file handling including upload flows, serving files via URL, storing generated files from actions, deletion, and accessing file metadata from system tablesAI & ML2.6klangchain4j-ai-services-patternsgiuseppe-trisciuoglio/developer-kitProvides patterns to build declarative AI Services with LangChain4j for LLM integration, chatbot development, AI agent implementation, and conversational AI in Java. Generates type-safe AI services using interface-based patterns, annotations, memory management, and tools integration. Use when creating AI-powered Java applications with minimal boilerplate, implementing conversational AI with memory, or building AI agents with function calling.AI & ML2.6kqdrantgiuseppe-trisciuoglio/developer-kitProvides Qdrant vector database integration patterns with LangChain4j. Handles embedding storage, similarity search, and vector management for Java applications. Use when implementing vector-based retrieval for RAG systems, semantic search, or recommendation engines.AI & ML2.6klangchain4j-mcp-server-patternsgiuseppe-trisciuoglio/developer-kitProvides LangChain4j patterns for implementing MCP (Model Context Protocol) servers, creating Java AI tools, exposing tool calling capabilities, and integrating MCP clients with AI services. Use when building a Java MCP server, implementing tool calling in Java, connecting LangChain4j to external MCP servers, or securing tool exposure for agent workflows.AI & ML2.6kraggiuseppe-trisciuoglio/developer-kitImplements document chunking, embedding generation, vector storage, and retrieval pipelines for Retrieval-Augmented Generation systems. Use when building RAG applications, creating document Q&A systems, or integrating AI with knowledge bases.AI & ML2.6k
implementing-agent-modesposthog/posthogGuidelines to create/update a new mode for PostHog AI agent. Modes are a way to limit what tools, prompts, and prompt injections are applied and under what conditions. Achieve better results using your plan mode.AI & ML2.6kvendor-checkanthropics/knowledge-work-pluginsCheck the status of existing agreements with a vendor across all connected systems — CLM, CRM, email, and document storage — with gap analysis and upcoming deadlines. Use when onboarding or renewing a vendor, when you need a consolidated view of what's signed and what's missing (MSA, DPA, SOW), or when checking for approaching expirations and surviving obligations.AI & ML2.5k
founder-salesrefoundai/lenny-skillsHelp users master the transition from product development to active selling by leveraging their unique status as founders to bridge the trust gap and define a scalable sales motion.AI & ML2.5k
prompt-masternidhinjs/prompt-masterGenerates optimized prompts for AI tools. Activates only when the user explicitly asks to write, fix, improve, or adapt a prompt for a specific AI tool (LLM, Cursor, Midjourney, image AI, video AI, coding agents, etc.). Does not activate for general conversation, coding tasks, document writing, or other non-prompt-engineering work.AI & ML2.4k
agentwalletframes-engineering/skillsWallets for AI agents with x402 and MPP payment signing, referral rewards, and policy-controlled actions.AI & ML2.4knotebooklmgiuseppe-trisciuoglio/developer-kitEnables interaction with Google NotebookLM for advanced RAG (Retrieval-Augmented Generation) capabilities via the notebooklm-mcp-cli tool. Use when querying project documentation stored in NotebookLM, managing research notebooks and sources, retrieving AI-synthesized information, generating audio podcasts or reports from notebooks, or performing contextual queries against curated knowledge bases. Triggers on "notebooklm", "nlm", "notebook query", "research notebook", "query documentation in notebooklm".AI & ML2.4kregistryframes-engineering/skillsPay-per-call API gateway for AI agents. 10 services available via x402 — no API keys, no subscriptions.AI & ML2.4kpropagatejuxt/alliumGenerate tests from Allium specifications. Use when the user wants to propagate tests, generate test files from a spec, write tests for a specification, create property-based tests, produce state machine tests, check test coverage against spec obligations, or understand what tests a specification requires.AI & ML2.4k
elite-longterm-memorynextfrontierbuilds/elite-longterm-memoryUltimate AI agent memory system. Combines bulletproof WAL protocol, vector search, git-based knowledge graphs, cloud backup, and maintenance hygiene. Never lose context again. For Clawdbot, Moltbot, Claude, GPT agents.AI & ML2.4ksequence-loadanthropics/knowledge-work-pluginsFind leads matching criteria and bulk-add them to an Apollo outreach sequence. Handles enrichment, contact creation, deduplication, and enrollment in one flow.AI & ML2.4k
understand-knowledgeegonex-ai/understand-anythingAnalyze a Karpathy-pattern LLM wiki knowledge base and generate an interactive knowledge graph with entity extraction, implicit relationships, and topic clustering.AI & ML2.4kadr-draftinggiuseppe-trisciuoglio/developer-kitCreates new Architecture Decision Record (ADR) documents for significant architectural changes using a consistent template and repository-aware naming and storage guidance. Use when a user or agent decides on an architectural change, needs to document technical rationale, or wants to add a new ADR to the project history.AI & ML2.3k
portfolio-managertradermonty/claude-trading-skillsComprehensive portfolio analysis using Alpaca MCP Server integration to fetch holdings and positions, then analyze asset allocation, risk metrics, individual stock positions, diversification, and generate rebalancing recommendations. Use when user requests portfolio review, position analysis, risk assessment, performance evaluation, or rebalancing suggestions for their brokerage account.AI & ML2.3k
neon-object-storageneondatabase/agent-skillsFIRST: Use the parent neon skill for a Neon overview, getting started with Neon, Neon development best practices, and more.AI & ML2.3kgoogle-cloud-storage-basicsgoogle/skillsGoogle Cloud Storage (GCS) is a managed service for storing data as objects at any scale.AI & ML2.3k
trigger-agentstriggerdotdev/skillsAI agent patterns with Trigger.dev - orchestration, parallelization, routing, evaluator-optimizer, and human-in-the-loop. Use when building LLM-powered tasks that need parallel workers, approval gates, tool calling, or multi-step agent workflows.AI & ML2.3k
domain-mlactionbook/rust-skillsUse when building ML/AI apps in Rust. Keywords: machine learning, ML, AI, tensor, model, inference, neural network, deep learning, training, prediction, ndarray, tch-rs, burn, candle, 机器学习, 人工智能, 模型推理AI & ML2.2k
muapi-ai-clippingsamuraigpt/generative-media-skillsTurn a long video into N viral-ready short clips with a single managed API call. Wraps muapi.ai's /ai-clipping endpoint, which handles transcription, highlight ranking through a virality framework (hook / emotional peak / opinion bomb / revelation / conflict / quotable / story peak / practical value), overlap dedupe, and vertical face-tracking auto-crop server-side. No local Whisper, no local LLM, no GPU.AI & ML2.2kgoogle-cloud-solution-rag-enterprise-search-gke-sqldbgoogle/skillsThis skill provides a workflow to design and implement a secure, low-latency, and high-accuracy RAG-enabled conversational search solution for private enterprise content by using an AlloyDB database, Cloud Storage, and a Google Kubernetes Engine (GKE) cluster to host all the application components,…AI & ML2.2k
cargo-segmentationgetcargohq/cargo-skillsDefine and use segments — named, saved filters over a Cargo model that become the audience for a batch run, a play trigger, or an export. Triggers: \"build a segment of\", \"filter my contacts where\", \"who matches this criteria\", \"save this as a list\", \"how many companies match\", \"the Closed-Won segment\", \"everyone who has not been emailed\", \"target only accounts that\", \"what is in this segment\", \"narrow this down to\". Filter JSON uses conjonction (not conjunction) — misspelling it fails silently. Skip when: running something over the segment — use cargo-orchestration; exporting its rows — use cargo-analytics; ad-hoc SQL over the model — use cargo-storage.AI & ML2.1k
rag-evalnvidia/skillsGuide agents through NVIDIA RAG Blueprint filesystem benchmarks: preparing corpus/ and train.json, running scripts/eval/evaluate_rag.py, tuning retrieval and generation flags for quality comparisons, interpreting RAGAS JSON outputs, and triaging failures (HTTP/stream errors, empty contexts,…AI & ML2.1k
text-optimizerkochetkov-ma/claude-brewcodeOptimizes text, prompts, and documentation for LLM token efficiency. Applies 52 research-backed rules across 8 categories: Claude behavior, token efficiency, structure, deduplication, reference integrity, perception, LLM comprehension, and aggressive lossy (deep only). Use when optimizing prompts, reducing tokens, compressing verbose docs, or improving LLM instruction quality.AI & ML2.1k
constraint-driven-developmentaddyosmani/agent-skillsEstablishes a project's quality bar as a written contract and stops agents quietly lowering it. Interviews the user on which dimensions matter, supplies sane default thresholds when they have no number in mind, records everything in CONSTRAINTS.md, and watches the diff for a weakened bar — new @ts-ignore or eslint-disable suppressions, skipped or deleted tests, assertions stripped out, unimplemented stubs, thresholds edited down. Use when no quality bar is written down, when the user says "set up constraints" or "define our standards", when an agent keeps silencing checks or skipping tests to get to green, when you need a coverage or performance threshold and don't know what number to pick, or when an agent writes more code than anyone will read.AI & ML2.1k
deep-researchsamber/cc-skillsDeep research skill — broad parallel web searches, multi-source validation, confidence tracking, cited Markdown report. Supports 11 research types: market (TAM/SAM, segments, pricing, trends), domain (industry structure, ecosystem, regulatory landscape), technical (architecture, tools, benchmarks), competitive (competitor teardown, positioning, win/loss), product (feature analysis, reviews, roadmap signals), academic (literature survey, citation networks, key authors), person/org (due diligence on a company or public figure), financial (funding rounds, valuation multiples, revenue signals), legal (IP, patents, litigation, compliance), trend (emerging signals, foresight, scenario mapping), community (ecosystem health, key voices, governance, fragmentation). Use when asked to: 'research <topic>', 'deep dive on X', 'analyze the landscape', 'competitive analysis', 'compare these options', 'who are the players in Z', 'literature review', 'background on Y', 'what papers exist on X', 'product teardown', 'technology evaluation', 'regulatory overview', 'funding landscape', 'what trends are emerging in X', 'patent landscape', 'community health', or any request requiring scanning many sources and producing a cited written analysis. Apply whenever the deliverable is a thorough, sourced report rather than a quick answer. Trigger even when phrased casually: 'look into X', 'what's the deal with Y', 'dig into Z', 'I need to understand the space', 'catch me up on X'.AI & ML2.1k
agent-email-clizaddy6/agent-email-skillOperate the agent-email CLI to create disposable inboxes, poll for new mail, retrieve full message details, and manage local mailbox profiles. Use when the user needs terminal-based email inbox access for LLM or agent automation workflows.AI & ML2.1k
netlify-ai-gatewaynetlify/context-and-toolsUse OpenAI, Anthropic, Google Gemini, or OpenRouter models from Netlify Functions or Edge Functions without managing provider API keys or accounts — the gateway injects credentials automatically. Reach for this when you add an AI chatbot or completion endpoint, generate images or text with Gemini/GPT/Claude, summarize form submissions with AI, build an LLM-backed API route, stream a long AI generation, or wire up any server-side AI provider call on Netlify. Covers provider SDK setup, injected env vars, model availability, rate limits, credit costs, streaming for long generations, and local dev with netlify dev or the Vite plugin.AI & ML2.0kchrome-extensionsamber/cc-skillsComprehensive guide for building Chrome extensions with Manifest V3. Use this skill whenever the user mentions Chrome extension, browser extension, manifest.json, content script, service worker (in extension context), popup, side panel, chrome.runtime, chrome.tabs, chrome.storage, chrome.scripting, background script, MV3, Manifest V3, or any Chrome extension API. Also trigger when the user wants to inject scripts into web pages, communicate between page and background, bypass CSP from a content script, build an RPC layer over chrome messaging, or publish to the Chrome Web Store. Covers both new extension projects and adding features to existing ones. Do NOT use for framework-specific questions.AI & ML2.0k
arize-compliance-auditarize-ai/arize-skillsINVOKE THIS SKILL when auditing an AI agent or LLM app for regulatory compliance. Covers EU AI Act, GPAI Code of Practice, GDPR, NIST AI RMF, Colorado AI Act, HIPAA, and ISO 42001. Scans the codebase for compliance gaps, cross-references Arize instrumentation for audit trail coverage, and produces an actionable remediation checklist tailored to the selected frameworks.AI & ML2.0kcareer-transitionsrefoundai/lenny-skillsHelp users evaluate new opportunities, manage professional identity shifts, and transition into roles that maximize both impact and personal fulfillment.AI & ML2.0kOther tasks
same rules, different job
