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.
42,948 skills from 2,019 repositories · updated 15 minutes ago
2,225 skills
- latchbio-integrationKalarisLabs/research-agent-skillsBuild, register, debug, and operate bioinformatics workflows on Latch using the Python SDK, CLI, Latch Data and Registry, Nextflow, Snakemake, programmatic execution, and Latch MCP. Use when authoring or deploying Latch workflows, configuring resources or interfaces, moving data, integrating Registry, or launching and monitoring runs.DevOpsNo warnings★ 61↓ —
- agent-observabilityseb1n/awesome-ai-agent-skillsDesign privacy-aware observability for AI agents using traces, spans, structured events, metrics, cost attribution, dashboards, alerts, and investigation workflows. Use when instrumenting an agent, debugging intermittent tool or model failures, defining service-level objectives, analyzing latency or spend, auditing agent decisions, or preparing production monitoring.DevOpsNo warnings★ 228↓ —
- org-devTserenTserenov/FMT-exocortex-templateExocortex template: fork & deploy your AI-powered personal knowledge system with Claude CodeDevOpsNo warnings★ 63↓ —
- factorypopmechanic/VibesOSSelf-contained SaaS pipeline — invoke directly, do not decompose. Generates a factory app with landing page, Stripe subscription checkout, Vibe Token economics, and deploys to Cloudflare Workers. Use when the user wants to monetize an app, add billing, create token-backed revenue sharing, or turn an app into a business.DevOpsNo warnings★ 136↓ —
- devops-sre-masterswaylq/master-skillDevOps 与站点可靠性工程 (SRE) — 平台 / 基础设施 / 可靠性工程师的认知操作系统, 覆盖软件交付 + 运维全生命周期 (CI/CD 与发布工程 trunk-based + 渐进式发布 canary/blue-green/feature flag + GitOps Argo CD/Flux / 基础设施即代码 Terraform/OpenTofu/Pulumi/Ansible + policy-as-code OPA / 容器与编排 Docker/Kubernetes + Helm/Kustomize + service mesh Istio/Linkerd / 可观测性 Prometheus + Loki + OpenTelemetry + Honeycomb + eBPF + RED/USE / SLO-SLI-error budget 与可靠性工程 Google SRE 学科 + 容量规划 + 优雅降级 / 事件管理与 on-call 事件指挥 + PagerDuty + runbook + 无指责复盘 + MTTR / 云平台与 FinOps AWS/GCP/Azure + 成本优化 + 弹性伸缩 / 平台工程与开发者体验 IDP + Backstage + golden path + Team Topologies / DevSecOps 与供应链安全 shift-left + SBOM + SLSA + sigstore + Vault / 韧性与混沌工程 fault injection + game day + 安全科学 / DORA 指标与工程效能 部署频率 + 变更前置时间 + 变更失败率 + Accelerate 研究 / 数据库与有状态运维 schema 迁移 + 备份容灾) — 不含 通用应用开发 / 纯云销售认证速成 / 'DevOps = 跑 Jenkins 的岗位' 窄化误解 / ITIL 工单文化传统运维 (旧范式仅做边界) / 把手工运维 ClickOps 当稳态 (是 toil, 本 skill 核心反模式) (DevOps & Site Reliability Engineering — the cognitive operating system of platform / infrastructure / reliability practitionersDevOpsNo warnings★ 168↓ —
- OpenAI Apps MCPcoco-research/cocoBuild ChatGPT apps with MCP servers on Cloudflare Workers. Extend ChatGPT with custom tools and interactive widgets (HTML/JS UI). Use when: developing ChatGPT extensions, implementing MCP servers, or troubleshooting CORS, widget 404s, MIME types, ASSETS binding errors, Next.js integration issues, or edge platform limitations.DevOpsNo warnings★ 784↓ —
- frappe-ops-website-deployImpertio-Studio/Frappe_Claude_Skill_PackageDeploy HTML/CSS websites to ERPNext/Frappe (v15/v16) as Web Pages via the REST API. Use this skill whenever a user wants to host a website on ERPNext, deploy HTML mockups to Frappe, create Web Pages programmatically, configure Website Settings, or integrate Frappe's Discussion system as a forum. Also use when the user mentions "website on ERPNext", "Web Page API", "Page Builder", "Web Template", or wants to serve custom HTML from Frappe. Covers: Web Pages with Page Builder, custom Web Templates, Website Settings (navbar, footer), CSS management, Frappe Discussion integration, and deployment scripting.DevOpsNo warnings★ 195↓ —
- speech-to-text-masterswaylq/master-skill语音转文字 (ASR) (语音转文字 (ASR / 语音识别 / Speech-to-Text) 应用工程 (从业者视角) — 选型、集成、优化语音转文字能力,尤其面向移动端、低成本、快速识别的场景。覆盖: (a) 引擎/API 地图 — 云端 API(OpenAI gpt-4o-transcribe / Whisper API、Deepgram、AssemblyAI、Google / Azure / AWS Transcribe、讯飞、字节火山、阿里、腾讯、百度) vs 开源模型(Whisper / faster-whisper / whisper.cpp / distil-whisper、NVIDIA NeMo Parakeet / Canary、阿里 FunASR / Paraformer / SenseVoice、Moonshine、Vosk、Kaldi / k2 / icefall) vs 端侧·移动 SDK(whisper.cpp + CoreML / Metal、iOS Speech framework、Android SpeechRecognizer、Picovoice、SenseVoice 端侧); (b) 准确率(WER / CER) × 延迟(RTF / 流式) × 成本 三角权衡与选型决策树; (c) 成本优化 playbook — 端侧免费 / 批量折扣 / VAD 裁静音 / 量化(int8 / ggml) / 蒸馏 / 自托管 break-even; (d) 移动端集成 — 端侧 vs 云、流式 vs 批量、断点检测(endpointing)、隐私 / 离线; (e) 后处理 — 标点 / 数字规整(ITN) / 说话人分离(diarization) / 时间戳。学派分歧: 云 API vs 端侧自托管、通用大模型(Whisper) vs 专用流式(RNN-T / Conformer)、闭源 API vs 开源、准确率派 vs 成本派、英文优先 vs 中文 ASR(FunASR / SenseVoice / 讯飞)。不含: 文字转语音(TTS / 语音合成,方向相反)、声纹识别 / 说话人验证为主业、语音 agent / 对话式 AI、ASR 模型训练科研深水区。) Master OS — automated mastery of 语音转文字 (ASR / 语音识别 / SpeechDevOpsNo warnings★ 168↓ —
- eu-ai-act-readinessseb1n/awesome-ai-agent-skillsBuild a preliminary, evidence-based EU AI Act readiness assessment across AI-system inventory, territorial scope, operator roles, prohibited-practice screening, risk classification, transparency, high-risk controls, general-purpose AI obligations, governance, and implementation milestones. Use when an organization needs to triage an AI use case, vendor, model, product, or portfolio for Regulation (EU) 2024/1689; prepare an AI inventory, gap register, implementation roadmap, or counsel briefing; assess provider, deployer, importer, distributor, product-manufacturer, authorised-representative, or GPAI-provider responsibilities; or re-check readiness after regulatory or product changes.DevOpsNo warnings★ 228↓ —
- arize-migrate-braintrustArize-ai/arize-skillsMigrates LLM observability from Braintrust into Arize AX — historical trace import via OTLP (BT output→output.value, span_parents, one AX trace per turn + session.id), datasets, and prompts (latest or versions). Use when migrating from Braintrust to Arize or importing Braintrust logs into AX.DevOpsNo warnings★ 66↓ —
- langchainKalarisLabs/research-agent-skillsFramework for building LLM-powered applications with agents, chains, and RAG. Supports multiple providers (OpenAI, Anthropic, Google), 500+ integrations, ReAct agents, tool calling, memory management, and vector store retrieval. Use for building chatbots, question-answering systems, autonomous agents, or RAG applications. Best for rapid prototyping and production deployments.DevOpsNo warnings★ 61↓ —
- markitdownKalarisLabs/research-agent-skillsConverts documents to Markdown with Microsoft MarkItDown (Python API, markitdown CLI, markitdown-ocr plugin, markitdown-mcp server), covering PDF, Word, PowerPoint, Excel, HTML, CSV, EPUB, ZIP, and streams, plus Azure extraction. Use when preparing papers or reports for LLM/RAG ingestion; when batch-converting a literature folder to Markdown with provenance; when converting uploaded bytes or file streams; when OCR of scanned PDFs or image text is needed; when exposing conversion to a local agent through MCP. Do not use for bounding boxes or page coordinates (use LiteParse) or PDF merge/split/forms (use the pdf skill).DevOpsNo warnings★ 61↓ —
- arize-migrate-langsmithArize-ai/arize-skillsMigrates LLM observability from LangSmith into Arize AX — historical trace import via OTLP (LS outputs→output.value, session/thread→session.id), datasets, and Prompt Hub prompts (latest or versions). Use when migrating from LangSmith to Arize, importing LangSmith runs into AX, or replacing LangSmith with Arize.DevOpsNo warnings★ 66↓ —
- arize-migrate-langfuseArize-ai/arize-skillsMigrates LLM observability from Langfuse into Arize AX — historical trace import via OTLP (LF output→output.value, sessionId→session.id), datasets, and prompts (latest or versions + labels). Use when migrating from Langfuse to Arize or importing Langfuse observations into AX.DevOpsNo warnings★ 66↓ —
- senior-ml-engineerborghei/Claude-SkillsML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization.DevOpsNo warnings★ 971↓ —
- os-mcpnaveedharri/benai-skillsDeploy a Relay MCP server to the user's own Railway account, giving Claude read/write access to their Obsidian vault via the Relay.md sync protocol. Bundled source ships inside the skill — no separate repo clone needed. The user only pastes a Railway account token; the relay vault and folders inside it are auto-discovered after they OAuth in. Use when the user wants to "set up the os MCP", "deploy relay MCP to railway", "self-host the obsidian MCP server", or "give Claude access to my Obsidian vault".DevOpsNo warnings★ 73↓ —Also in 4 other repos
- amazon-operating-model-masterswaylq/master-skill亚马逊管理之道 (亚马逊管理之道 (The Amazon Way — Amazon 自身的领导力与运营操作系统) — 这个 master skill 蒸馏的不是『在亚马逊平台上开店卖货』(那是跨境电商运营,已由 cross-border-ecommerce 另蒸),也不是 AWS 云技术架构;而是亚马逊这家公司『怎么运营自己、怎么做决策、怎么招人、怎么创新、怎么规划』的一整套可迁移的管理机制(mechanisms)与心智操作系统。面向想在自己团队/公司引入亚马逊式机制的创始人/CEO/高管/运营负责人(COO)、产品经理与技术产品经理(PM/PMT)、组织与流程设计者(chief of staff / ops)、以及在亚马逊工作或准备面试亚马逊(著名的 LP 行为面试 + Bar Raiser)的人。覆盖: (a) 第一性张力 — 亚马逊 OS 的核心世界观分歧: **机制 > 良好意图(Good intentions don't work, mechanisms do:问题不能靠『下次更努力』修复,要装一个带检查闭环的自我强化流程) ⇄ 可控输入指标 vs 滞后输出指标(管你能控制的 input 如选品/价格/在库/配送速度,而非 revenue/股价这类滞后又不可控的 output) ⇄ 长期主义 vs 季度业绩(Day 1、willing to be misunderstood、用现金流+飞轮长期投入,宁可牺牲短期利润) ⇄ 客户执念 vs 竞争对手执念(working backwards 从客户倒推,而非从竞品或『我们能造什么』正推) ⇄ 叙事备忘录 vs PPT(6-pager + 开会前静默阅读、动手前先写 PR/FAQ;写作逼出清晰思考,禁 PowerPoint) ⇄ 单线程负责人/两个披萨团队 vs 协调税(separable、autonomous、one owner per initiative,砍掉跨团队依赖) ⇄ 高标准可学习可传递 vs 与生俱来(insist on the highest standards + Bar Raiser 招聘门,标准是 domain-specific 且能教的) ⇄ 节俭催生创造力 vs 血汗文化(frugality/约束驱动发明 —— 但 frugality + 高压 bar + URA 强制淘汰 = 文化阴暗面批判) ⇄ 两类决策(Type 1 不可逆/DevOpsNo warnings★ 168↓ —
- helm-chart-builderborghei/Claude-SkillsThis skill should be used when the user asks to "analyze Helm charts", "validate Helm values", "review chart structure", "check Kubernetes Helm templates", or "audit chart dependencies and configuration".DevOpsNo warnings★ 971↓ —
- institutional-flow-trackerBaggaT236/AI-Trading-SkillsUse this skill to track institutional investor ownership changes and portfolio flows using 13F filings data. Analyzes hedge funds, mutual funds, and other institutional holders to identify stocks with significant smart money accumulation or distribution. Helps discover stocks before major moves by following where sophisticated investors are deploying capital.DevOpsNo warnings★ 136↓ —
- digital-pathologyawslabs/hcls-agent-skillsGenerate correct code for whole-slide image (WSI) analysis using TIAToolbox and foundation models (H-optimus-0, UNI, Prov-GigaPath). Triggers on requests involving whole-slide images, WSI, digital pathology, histopathology, SVS/NDPI/pyramidal TIFF, tissue segmentation, patch extraction, stain normalization, H-optimus-0, TIAToolbox, CAMELYON16/17, SlideGraph, MIL aggregation, HoVer-Net, PanNuke, or SageMaker deployment of pathology models. Produces deterministic commands and Python snippets for slide-info inspection, tissue masking, tile extraction at specified mpp, foundation-model feature embedding, slide-level aggregation, and regulated cloud inference.DevOpsNo warnings★ 66↓ —
- bulletproofartemiimillier/bulletproofUse when building a feature, refactoring, fixing a complex bug, changing architecture, or starting any non-trivial coding task. 12-stage verified dev workflow from research to deploy.DevOpsNo warnings★ 154↓ —
- agentic-os-setupnaveedharri/benai-skillsSet up an agentic OS — either inside an Obsidian vault (bundled command-center dashboard, 5 auto-installed plugins, button bar wired to Claude prompts) OR as a standalone Next.js web dashboard with live MCP integrations (Circle, Fireflies, YouTube/VidIQ, Unipile LinkedIn DMs, Apify Twitter, Reddit), Anthropic Agent SDK refreshes, and optional Railway deploy. Use when the user says "set up agentic OS", "install command center", "bootstrap a personal AI dashboard", "build a vault dashboard", "spin up an MCP-powered dashboard", "deploy an AI ops dashboard", "give me my own version of the dashboard", "set up my second brain dashboard", or asks to personalize a dashboard previously created with this skill. Skill asks one routing question first — Obsidian or standalone — then runs the matching full flow.DevOpsNo warnings★ 73↓ —
- competitor-radarnaveedharri/benai-skillsBuild and weekly-refresh a branded HTML "Competitor Radar" dashboard that tracks a roster of competitors across YouTube, Instagram, LinkedIn, TikTok, community, and SEO. Use when the user wants to track competitors, monitor competitor socials/engagement/subscribers, build a competitor dashboard, or refresh the weekly competitor report. Gathers real data via connectors (YouTube, Apify, Firecrawl), renders a two-tab (Demo/Actual) dashboard in Ben AI branding, deploys it to a stable Vercel URL via git push, and posts the link to Slack.DevOpsNo warnings★ 73↓ —
- runbook-generatorborghei/Claude-SkillsGenerate operational runbooks from codebase analysis covering deployment, incident response, scaling, and monitoring, with copy-paste commands and rollback steps. Use when bootstrapping ops docs, preparing for on-call, or post-incident.DevOpsNo warnings★ 971↓ —