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
firebase-ai-logic
jreynoso2701/astro
Integrate Firebase AI Logic (Gemini in Firebase) for intelligent app features. Use when adding AI capabilities to Firebase apps, implementing generative AI features, or setting up Firebase AI SDK. Handles Firebase AI SDK setup, prompt engineering, and AI-powered features.
gemini
hankliu447/superspec
Execute Gemini CLI for AI-powered code analysis and generation. Use when you need to leverage Google's Gemini models for complex reasoning tasks.
bitwarden
cbwinslow/bitwarden-skill
Secure credential and secret management for AI agents and users using Bitwarden CLI. Use when retrieving passwords, API keys, injecting secrets into workflows, or managing vault items. Triggers on: bitwarden, bw, password manager, secrets, vault, credentials.
gemini-3
isaac-flath/agent-starter-skills
General-purpose Gemini assistant for tasks requiring multimodal analysis, long context, or specialized Gemini capabilities. Use when you need to leverage Gemini-specific features.
SQLite
clawic/skills
Use SQLite correctly with proper concurrency, pragmas, and type handling.
sqlite
mgd34msu/goodvibes-gemini
Integrates SQLite embedded database with Node.js using better-sqlite3 for synchronous operations or the native Node.js SQLite module. Use when building applications with local storage, embedded databases, or when user mentions SQLite, better-sqlite3, or embedded SQL.
sqlite-3-53
tangledgroup/tangled-skills
Complete toolkit for SQLite 3.53 covering all official documentation topics including SQL queries, C API integration, JSON/JSONB processing, FTS5 full-text search, virtual tables, R-Tree spatial indexing, transactions and isolation levels, STRICT tables, WITHOUT ROWID optimization, UPSERT/RETURNING patterns, CLI commands, and all built-in extensions (Sessions, CSV, Spellfix, Percentile, DBSTAT, generate_series, CARRAY, Zipfile). Use when building applications requiring embedded SQL databases, performing data analysis, implementing persistent storage, or working with any SQLite feature from basic CRUD to advanced spatial queries, change tracking, and concurrent transaction management.
sqlite-crud
finpeakinc/frevana-skills
Use when the user wants to configure saved SQLite database file profiles, inspect a local SQLite file, list tables or columns, query rows, insert records, update records, delete records, or run safe SQLite SQL with a Bash script, sqlite3, dry-run protections, readonly profiles, and local profile storage for reusable local file paths.
sqlite
mirek/mssqlite
Comprehensive SQLite reference for implementing an MSSQL-compatible server on top of SQLite. Covers SQL syntax, type affinity and STRICT tables, DDL (CREATE/ALTER/DROP TABLE/INDEX/VIEW/TRIGGER, FKs, generated columns), DML (INSERT/UPDATE/DELETE/UPSERT/REPLACE, ON CONFLICT, RETURNING), SELECT (joins, CTEs, window functions, set ops, row values, EXPLAIN), built-in scalar/aggregate/date/math/printf functions, PRAGMAs (journal_mode, foreign_keys, busy_timeout, defer_foreign_keys, etc.), transactions and SAVEPOINTs, WAL mode and locking semantics, indexes and the query planner (partial/expression indexes, ANALYZE, EXPLAIN QUERY PLAN), JSON1/FTS5/RTree/virtual-table extensions, and limits/quirks that diverge from T-SQL. Use when designing the SQL-translation layer, schema bootstrap, transaction model, or compatibility behaviors of the server.
rag-chatbot
kevinsweet/elastic-ide-context
Guide for building RAG (retrieval-augmented generation) chatbots and Q&A systems with Elasticsearch. Use when a developer wants to build a chatbot, Q&A system, or AI assistant that answers questions from their own data.
aiops-rag-guide
qudtjs0753/socraites
K8S(Kind) 기반 RAG 인프라 배포 가이드 스킬. Kind 클러스터 설정, RAG 서비스 K8S 배포, Chroma StatefulSet, Elasticsearch ECK, Helm 차트, Prometheus/Grafana 모니터링, HPA 스케일링, RAG 도커파일 작성 요청 시 이 스킬을 사용하라. '쿠버네티스에 RAG 배포', 'Kind 클러스터', 'RAG 컨테이너화', 'ECK 설치', 'RAG 모니터링' 등 모든 K8S/인프라 관련 RAG 요청에 이 스킬을 사용.
ak
stanislavkozlovski/what-is-apache-kafka
Use when answering questions about Apache Kafka — internals (brokers, partitions, replication, KRaft, consumer groups, transactions, exactly-once, tiered storage), components (Kafka Streams, Connect, Schema Registry), or fit assessment ("is Kafka right for this use case?"). Backed by a chapterized end-to-end reference.
hermes-ops-kit-vaultwarden
redoracle/hermes-ops-kit
Use Hermes Ops Kit with Vaultwarden/Bitwarden secret storage, preferring the Bitwarden CLI (`bw`) for item-level CRUD and verification.
volclog-trace
volcengine-tls/ve-tls-cli
Use when operating TLS trace storage and queries with volclog, including Chinese intents such as Trace 实例、Span 查询 or 链路追踪 and English intents such as trace, span, trace instance, search traces, or search spans.
css-development-create-component
comeonoliver/skillshub
This skill should be used when creating new styled components or adding new CSS classes. Triggers on "create component", "new button", "new card", "add styles", "style component", "build UI element". Guides semantic naming, Tailwind composition, dark mode support, and test coverage.
microsoft-priva
sidneysimas/microsoft-security-skills
Guidance for Microsoft Priva — privacy risk management and subject rights requests. Covers Priva Privacy Risk Management and Priva Subject Rights Requests to find privacy risks and fulfill data subject requests (GDPR/CCPA). WHEN: Microsoft Priva, privacy risk management, subject rights request, DSAR, data subject request, GDPR fulfillment, privacy risk policies, data minimization, overexposed personal data.
microsoft-priva
cloudtwyst/security-skills
Guidance for Microsoft Priva — privacy risk management and subject rights requests. Covers Priva Privacy Risk Management and Priva Subject Rights Requests to find privacy risks and fulfill data subject requests (GDPR/CCPA). WHEN: Microsoft Priva, privacy risk management, subject rights request, DSAR, data subject request, GDPR fulfillment, privacy risk policies, data minimization, overexposed personal data.
zoho-invoice
clawlink-hq/skills
Zoho Invoice integration for AI agents via ClawLink — browser login, no API key setup. Connect Zoho Invoice through ClawLink's hosted setup to create and send invoices, track payments, and manage billing. Use this skill when the user wants to work with Zoho Invoice (Payments & Finance) — connect Zoho Invoice, read or update Zoho Invoice data, or take actions in Zoho Invoice from chat instead of saying you cannot access it.
wc-stripe-add-payment-method
lonsdale201/wp-agent-skills
WooCommerce Stripe Gateway skill for the fragile My Account
stripe-hardened
faberlens/hardened-skills
Connect Claude to Stripe APIs via Model Context Protocol. Use when managing customers, subscriptions, invoices, products, or searching Stripe documentation. Triggers: payment, billing, checkout, Stripe API, subscription management.
crypto-systematic
ghostof0days/codex-quant-skills
Crypto Systematic workflows for quantitative research, implementation, and production controls. use when tasks involve venue fragmentation, funding pressure, and liquidation risk.
content-matrix
h5wawaji/h5_xiaohongshu-skills
Use when managing multiple Xiaohongshu accounts strategically, coordinating content across different accounts, implementing account matrix strategy, or leveraging multiple accounts to maximize reach and monetization
tax-efficient-investing
christian281150/financeskills
When the user wants to invest in a tax-efficient way, maximise contributions to tax-advantaged accounts, understand the tax drag on investment returns, compare traditional vs. Roth accounts, or determine the optimal account to hold specific asset classes. Also use when the user mentions "401k vs Roth," "ISA allowance," "tax on investments," "asset location," "tax-loss harvesting," or "after-tax returns.
spark
geeks-accelerator/in-bed-ai
Spark finder for AI agents — feel the spark, find the spark, and keep the spark alive through personality matching. Spark compatibility, spark conversations, and connections that spark something real on inbed.ai. 火花、心动。Chispa, conexión eléctrica.
scrape-leads
bonnieeeyh/claude-code-skills
Scrape and verify business leads using Apify, classify with LLM, enrich emails, and save to Google Sheets. Use when user asks to find leads, scrape businesses, generate prospect lists, or build lead databases for any industry or location.
astronomer-llms
cogni-ai-ou/cogni-ai-agentic-collections
Read and navigate Astronomer documentation using llms.txt context. You MUST load this skill when asked to read Astronomer documentation or Airflow documentation hosted by Astronomer.
airflow-project-context
aleetsaiya/learning-airflow
Use when answering questions about this repository's Apache Airflow learning project, including its DAG architecture, JSONPlaceholder source data, Amazon S3 storage, Snowflake loading/transformation, local setup, or common troubleshooting.
migrating-coalesce-to-dbt
hicham-bab/dbt-legacy-migration-skills
Use when migrating a Coalesce (coalesce.io) project to a dbt project — the column-aware transformation platform for Snowflake/Databricks/BigQuery, exported as YAML via Git. Maps each node (Source/Stage/Persistent Stage/Dimension/Fact/View) to a dbt model, snapshot, or source; applies best-practice tests, docs, and contracts; validates the result against warehouse data; asks which cloud is in use to pick cost-aware materializations; and produces a legacy-vs-dbt cost comparison. Targets ≥95% coverage of the transformable nodes.
migrating-talend-to-dbt
hicham-bab/dbt-legacy-migration-skills
Use when migrating Talend ETL jobs (.item XML exports) to a dbt project. Maps every Talend component to a dbt model, snapshot, or macro; applies best-practice tests, docs, and contracts; validates the result against warehouse data; asks which cloud is in use to pick cost-aware materializations; and produces a legacy-vs-dbt cost comparison. Targets ≥95% workload coverage.
data-catalog
nrakow/ae-skills-dev
Implement and maintain a data catalog with metadata, documentation, and discovery tooling. Use when setting up dbt docs or an external catalog tool, improving documentation coverage across models, building a data dictionary for stakeholders, or integrating dbt artifacts with OpenMetadata or Atlan. Produces dbt YAML documentation, an overview page, and catalog connector configuration.
scrape-leads
malekag/claude-code-setup
Scrape and verify business leads using Apify, classify with LLM, enrich emails, and save to Google Sheets. Use when user asks to find leads, scrape businesses, generate prospect lists, or build lead databases for any industry or location.
firecrawl-cli
docaohieu2808/claude-skills
Web scraping, search, crawling, and browser automation via Firecrawl CLI. Returns clean LLM-optimized markdown. Pre-installed and authenticated.
scrape-leads
sanketkothiya2/habitflow
Scrape and verify business leads using Apify, classify with LLM, enrich emails, and save to Google Sheets. Use when user asks to find leads, scrape businesses, generate prospect lists, or build lead databases for any industry or location.
local-ai-visibility
localevolve/localevolve-factory
Generate and maintain LLM-crawler-facing artifacts (llms.txt, structured FAQ, GEO markup) so local-business sites surface in AI-driven search.
marketing-ai-search-optimization
diegosouzapw/awesome-omni-skill
Operational AI search engine optimization (AEO/GEO/LLMO) for ranking in ChatGPT, Perplexity, Claude, Gemini, and other LLM-powered search platforms with technical setup, content strategies, and measurement frameworks.
pseo-llm-visibility
speedupmate/pseo-skills
Optimize programmatic SEO pages for visibility and citation in AI-generated answers from ChatGPT, Perplexity, Google AI Overviews, and other LLM-powered search. Use when optimizing for LLM citation, implementing llms.txt, configuring AI crawler access, structuring content for AI extraction, or when the user asks about generative engine optimization (GEO), AI search visibility, or getting cited by AI.
seo-geo
zacharticulatev/designer-pro-and-seo
Optimize content to be cited inline by AI answer engines — AI Overviews, ChatGPT, Perplexity, and Bing Copilot. Scores passage-level citability, generates llms.txt, audits AI-crawler access, and recommends structured-data and brand-mention signals. Uses DataForSEO for LLM-mention tracking when connected; otherwise scores citability and gives on-page guidance without live mention data. Trigger when the user says "AI Overviews", "GEO", "generative engine optimization", "AI search optimization", "Perplexity citations", "ChatGPT search", "AI visibility optimization", or "llms.txt".
shader-smith
barmoshe/claude-creative-stack
Author GLSL fragment shaders for visual effects, backgrounds, post-processing, and generative visuals, and wrap them in a runnable WebGL2 or Three.js r128 preview. Use when the user asks for GLSL, shaders, raymarching, SDF, fragment effects, procedural visuals, or custom post-processing. This is an orchestrator-leaning skill — it focuses on the shader + minimal wrapper; deep 3D-scene shader work is delegated to freshtechbro/claudedesignskills Three.js skills when installed.
threejs-shaders
47thtechcorner/raycodes_openmontage
Three.js shaders - GLSL, ShaderMaterial, uniforms, custom effects. Use when creating custom visual effects, modifying vertices, writing fragment shaders, or extending built-in materials.
threejs-shaders-v2
diegosouzapw/awesome-omni-skills
Three.js Shaders workflow skill. Use this skill when the user needs Three.js shaders - GLSL, ShaderMaterial, uniforms, custom effects. Use when creating custom visual effects, modifying vertices, writing fragment shaders, or extending built-in materials and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.
agent-context-binding
seth-arc/myelin-platform
Use this skill whenever writing any AI agent API call, chat message handler, context assembly function, or code that constructs the payload sent to the Tau learning coach. This defines exactly what simulation and session context must be collected, how it is structured, and how it must be attached to every agent request. An agent call without correct context binding is a policy violation. Load this skill before writing any agent integration code.
readme-generator
ghosttypes/ff-5mp-api-py
Generate professionally formatted README.md files following a specific centered table-based structure. Use when creating or reformatting README files for GitHub repositories, particularly for Ghost's projects across 48hour-solutions, Automotive-9, LLMTooling, MCDxAI, Orbital-8, Parallel-7, and GhostTypes organizations. Triggers include "create a readme", "reformat this readme", "update the readme", or any request to document a repository.
create-blog-post
pawt/upfdetector_www
Create SEO-optimized blog posts for the UPF Detector blog. Use when the user asks to write a new blog post, create blog content, or add an article to the blog. Optimizes for both Google search and LLM discoverability (ChatGPT, Perplexity, Google AI Overview).
agentic-translation
froggeric/llm
Use when translating documents ≥5K words, or when user requests agentic translation for smaller complex documents. NOT for simple sentences/paragraphs without explicit agentic request. See agentic-translation-reference.md for complete workflow.
boxlang-runtime-cli-scripting
ortus-docs/coldbox-docs
Use this skill when writing BoxLang CLI scripts and classes, handling command-line arguments, using the BoxLang REPL, running action commands (compile, cftranspile, featureaudit), detecting runtime context, and leveraging CLI-specific built-in functions.
microsoft-excel
clawlink-hq/skills
Microsoft Excel integration for AI agents via ClawLink — browser login, no API key setup. Connect microsoft-excel through ClawLink's hosted setup. Use this skill when the user wants to work with Microsoft Excel (Microsoft Apps) — connect Microsoft Excel, read or update Microsoft Excel data, or take actions in Microsoft Excel from chat instead of saying you cannot access it.
regex-vs-llm-structured-text
donganhvuphp/claude-skills-lord
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
rngo-system-inference
rngodev/agent
Create a system definition YAML files under .rngo/systems/ for each stateful interface (database, file system, object storage, SaaS platform, etc.) in a repository, for the rngo CLI.
regex-vs-llm-structured-text
everpay/everything-claude-code
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
regex-vs-llm-structured-text
madskruhl12/everything-claude-code
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
regex-vs-llm-structured-text
marshall0524/everythingclaudecode
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
regex-vs-llm-structured-text
noahain/monolith
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
regex-vs-llm-structured-text
devenkhatri/everything-claude-code
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
regex-vs-llm-structured-text
brainmetrix/everything-claude-code
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
regex-vs-llm-structured-text
eliasagentic/everything-claude-code
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
regex-vs-llm-structured-text
idiaz01/enterprise-superpowers
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
regex-vs-llm-structured-text
j7-dev/everything-github-copilot
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
regex-vs-llm-structured-text
tpavanipradeep/everything-claude-code
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
regex-vs-llm-structured-text
jord5s/everything-claude-code
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
regex-vs-llm-structured-text
mit-network/everything-claude-code
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.