Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
47,307 skills from 2,272 repositories · updated 13 hours ago
47,307 skills
- skill-improverGentleman-Programming/gentle-aiTrigger: improve skills, audit skills, refactor skills, skill quality. Audit and upgrade existing LLM-first skills.EngineeringNo warnings★ 8.1K↓ —
- card-xiaohongshunexu-io/html-anything小红书风格知识卡片, 多张联排可滑动浏览OtherNo warnings★ 9.3K↓ —
- context-engineeringmvschwarz/openrigUse when designing, reviewing, or debugging how an agent's context window gets filled, pruned, or shared — choosing what loads at boot versus on demand, sizing an install or an always-loaded file, fixing an agent that drifts, repeats itself, or forgets constraints mid-task, planning compaction or summarization, deciding single-agent versus subagents, engineering handoffs between agents, or picking a tool loadout. NOT for rewording a prompt's tone, choosing which model to pin, or debugging business logic — those are adjacent moments this skill does not serve. Historical 2024–2025 snapshot; not normative for present-day frontier models — see the Status section.ProductivityNo warnings★ 8.3K↓ —Also in 1 other repo
- ads-redditAgriciDaniel/claude-adsAudit Reddit Ads measurement, campaign structure, community and interest targeting, creative-native fit, catalog advertising, budgets, brand safety, and reporting. Use for Reddit Ads, conversation ads, community targeting, Reddit Pixel, Reddit Conversions API, or Reddit dynamic product ads.MarketingNo warnings★ 10.5K↓ —
- elasticsearch-ingestUpdatedelastic/agent-skillsLoad CSV, JSON, and NDJSON files into Elasticsearch indices using the bulk API and explicit mappings when field types matter. Use when batch-importing local files, converting CSV rows or JSON arrays to NDJSON bulk format, confirming cluster connectivity with elastic es info before ingest, or verifying document counts and mappings after ingest — not for Logstash pipelines, Beats, custom scripts, or index-to-index reindex.OfficialDataNo warnings★ 602↓ —Also in 1 other repo
- deck-simplenexu-io/html-anything通用 horizontal-swipe HTML deck, 不要 magazine 调DocumentsNo warnings★ 9.3K↓ —Also in 1 other repo
- forming-an-openrig-mental-modelmvschwarz/openrigUse when the system around you does not make sense yet: you just booted into a seat and do not know how the pieces fit; someone said rig, pod, seat, fleet, topology, or slice and you are not certain what they mean here; you are unsure what kind of rig you are in or what it is for; you do not know how skills reach you or where context comes from; or you are about to act on a guess about how OpenRig works. Gives the runtime mental model fast, so you stop guessing.ProductivityNo warnings★ 8.3K↓ —
- session-source-forkmvschwarz/openrigUse when authoring a rig spec member or `rig expand` payload that needs to start a new managed seat from a prior runtime conversation source — `session_source: { mode: fork, ref: { kind, value } }`. v1 supports `mode: fork` with `ref.kind: native_id` for Claude and Codex. The new seat persists a NEW post-fork token; the parent token is NEVER written onto the new seat. NOT for restoring an existing seat or for artifact-backed mental-model rebuild.WritingNo warnings★ 8.3K↓ —Also in 1 other repo
- openrig-architectmvschwarz/openrigUse when designing multi-agent topologies that run ON OpenRig — authoring RigSpec and AgentSpec files for new rigs, creating agent startup content (guidance / skills / culture), or diagnosing why a launched rig's agents aren't behaving as intended. NOT for changing OpenRig itself (use developing-openrig); NOT for ordinary CLI operation of an existing rig (use openrig-user). Covers the full authoring lifecycle from user intent to validated, launchable rig.PlanningNo warnings★ 8.3K↓ —Also in 1 other repo
- migrating-dbt-project-across-platformsdbt-labs/dbt-agent-skillsUse when migrating a dbt project from one data platform or data warehouse to another (e.g., Snowflake to Databricks, Databricks to Snowflake) using dbt Fusion's real-time compilation to identify and fix SQL dialect differences.OfficialDataNo warnings★ 747↓ —
- using-dbt-for-analytics-engineeringdbt-labs/dbt-agent-skillsBuilds and modifies dbt models, writes SQL transformations using ref() and source(), creates tests, and validates results with dbt show. Use when doing any dbt work - building or modifying models, debugging errors, exploring unfamiliar data sources, writing tests, or evaluating impact of changes.OfficialDataNo warnings★ 747↓ —
- troubleshooting-dbt-job-errorsdbt-labs/dbt-agent-skillsDiagnoses dbt Cloud/platform job failures by analyzing run logs, querying the Admin API, reviewing git history, and investigating data issues. Use when a dbt Cloud/platform job fails and you need to diagnose the root cause, especially when error messages are unclear or when intermittent failures occur. Do not use for local dbt development errors.OfficialDataNo warnings★ 747↓ —
- adding-dbt-unit-testdbt-labs/dbt-agent-skillsCreates unit test YAML definitions that mock upstream model inputs and validate expected outputs. Use when adding unit tests for a dbt model or practicing test-driven development (TDD) in dbt.OfficialTestingNo warnings★ 747↓ —
- vue-expertJeffallan/claude-skillsBuilds Vue 3 components with Composition API patterns, configures Nuxt 3 SSR/SSG projects, sets up Pinia stores, scaffolds Quasar/Capacitor mobile apps, implements PWA features, and optimises Vite builds. Use when creating Vue 3 applications with Composition API, writing reusable composables, managing state with Pinia, building hybrid mobile apps with Quasar or Capacitor, configuring service workers, or tuning Vite configuration and TypeScript integration.WritingNo warnings★ 12.1K↓ —
- receiving-code-reviewjnMetaCode/superpowers-zh收到代码审查反馈后、实施建议之前使用，尤其当反馈不明确或技术上有疑问时——需要技术严谨性和验证，而非敷衍附和或盲目执行EngineeringNo warnings★ 8.4K↓ —
- configuring-dbt-mcp-serverdbt-labs/dbt-agent-skillsGenerates MCP server configuration JSON, resolves authentication setup, and validates server connectivity for dbt. Use when setting up, configuring, or troubleshooting the dbt MCP server for AI tools like Claude Desktop, Claude Code, Cursor, or VS Code.OfficialDataNo warnings★ 747↓ —
- golang-proJeffallan/claude-skillsImplements concurrent Go patterns using goroutines and channels, designs and builds microservices with gRPC or REST, optimizes Go application performance with pprof, and enforces idiomatic Go with generics, interfaces, and robust error handling. Use when building Go applications requiring concurrent programming, microservices architecture, or high-performance systems. Invoke for goroutines, channels, Go generics, gRPC integration, CLI tools, benchmarks, or table-driven testing.TestingNo warnings★ 12.1K↓ —
- python-proJeffallan/claude-skillsUse when building Python 3.11+ applications requiring type safety, async programming, or robust error handling. Generates type-annotated Python code, configures mypy in strict mode, writes pytest test suites with fixtures and mocking, and validates code with black and ruff. Invoke for type hints, async/await patterns, dataclasses, dependency injection, logging configuration, and structured error handling.EngineeringNo warnings★ 12.1K↓ —
- cpp-proJeffallan/claude-skillsWrites, optimizes, and debugs C++ applications using modern C++20/23 features, template metaprogramming, and high-performance systems techniques. Use when building or refactoring C++ code requiring concepts, ranges, coroutines, SIMD optimization, or careful memory management — or when addressing performance bottlenecks, concurrency issues, and build system configuration with CMake.WritingNo warnings★ 12.1K↓ —
- building-dbt-semantic-layerdbt-labs/dbt-agent-skillsUse when creating or modifying dbt Semantic Layer components — semantic models, metrics, dimensions, entities, measures, or time spines. Covers MetricFlow configuration, metric types (simple, derived, cumulative, ratio, conversion), and validation for both latest and legacy YAML specs.OfficialDataNo warnings★ 747↓ —
- answering-natural-language-questions-with-dbtdbt-labs/dbt-agent-skillsWrites and executes SQL queries against the data warehouse using dbt's Semantic Layer or ad-hoc SQL to answer business questions. Use when a user asks about analytics, metrics, KPIs, or data (e.g., "What were total sales last quarter?", "Show me top customers by revenue"). NOT for validating, testing, or building dbt models during development.OfficialDataNo warnings★ 747↓ —
- ads-amazonAgriciDaniel/claude-adsAudit Amazon Ads profiles, regions, Sponsored Products, Sponsored Brands, Sponsored Display, DSP, portfolios, targeting, search terms, retail readiness, creative, budgets, ACOS, TACOS, reporting, and policy. Use for Amazon Ads, sponsored ads, Amazon PPC, ACOS, TACOS, ASIN advertising, Amazon DSP, or retail-media optimization.MarketingNo warnings★ 10.5K↓ —
- ip-as-logoanbeime/skillGenerate extremely simple, cute, personified square character images with rounded heavy forms, two purposeful character colors, one solid background color, and a dominant lower-corner composition. Use when creating an animal, creature, robot, ghost, plant, object, or other character image, including when the agent should infer three product-relevant directions and propose six independent candidates for approval.MediaNo warnings★ 8.8K↓ —
- archifyanbeime/skillCreate polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid.SecurityNo warnings★ 8.8K↓ —
ml-pipeline
Jeffallan/claude-skills
DevOpsUpdated 24 hours ago
From the author
Designs and implements production-grade ML pipeline infrastructure: configures experiment tracking with MLflow or Weights & Biases, creates Kubeflow or Airflow DAGs for training orchestration, builds feature store schemas with Feast, deploys model registries, and automates retraining and validation workflows. Use when building ML pipelines, orchestrating training workflows, automating model lifecycle, implementing feature stores, managing experiment tracking systems, setting up DVC for data versioning, tuning hyperparameters, or configuring MLOps tooling like Kubeflow, Airflow, MLflow, or Prefect.
Install
npx skills add Jeffallan/claude-skills --skill ml-pipeline -a claude-code
Installs to .claude/skills/ml-pipeline/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: MIT
Safety checks on SKILL.md
No warnings.
Why 92
Security100
Provenance89
Maintenance100
Licence100
Adoption64
Files (6)
- SKILL.md
- references/experiment-tracking.md
- references/feature-engineering.md
- references/model-validation.md
- references/pipeline-orchestration.md
- references/training-pipelines.md