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.
48,622 skills from 2,355 repositories · updated 11 hours ago
48,622 skills
- skill-content-calendarZJU-REAL/Easel生成月度社媒内容排期表：逐条选题+角度+视觉方向，覆盖小红书/抖音/B站/微博。 当用户说"内容排期""月度日历""发布计划""内容日历""排期表""这个月发什么""内容节奏表"时使用。 消费 skill-content-strategy 定义的支柱与 shared 频率基线，只出具体排期不重复定义支柱理论。ProductivityNo warnings★ 4.3K↓ —
- you-web-searchdavepoon/buildwithclaudeSearch the live web and read URLs through the You.com MCP server. Use when you need current information beyond training data: recent releases, docs, pricing, news, or any question where facts may have changed. Two endpoints: keyless basic search at https://api.you.com/mcp?profile=free, or full tools with an API key from https://you.com/platform/api-keys.EngineeringNo warnings★ 3.7K↓ —
- audio-editingZJU-REAL/Easel通用音频处理：音频剪辑/裁剪、格式转码（mp3/wav/m4a/aac）、音量归一化、从视频提取音轨、多段拼接、淡入淡出、变速（保音高）。当用户说“剪音频”“裁一段”“转成 mp3”“调音量/响度”“提取音轨/扒音频”“拼接音频”“淡入淡出”“加速/减速音频”“变速不变调”时使用。与 audio-denoise 的区别：audio-denoise 专做降噪，audio-editing 做除降噪外的通用音频操作（也内置 denoise 作为兜底）。MediaNo warnings★ 4.3K↓ —
- doca-telemetryNVIDIA/skillsUse this skill to read DOCA hardware-counter events from a `doca_dev` through the per-domain Telemetry reader libraries: `doca_telemetry_pcc`, `_dpa`, `_diag`, `_adp_retx`, `_phy`, and `_pci`. It covers capability checks, context creation, startup, and per-domain reads or samples. Trigger for implicit requests such as "read PCC counters from my BlueField app", "sample DPA counter exports", or "expose PHY, PCI, or DIAG counters from this doca_dev". This is the counter-reader surface, not a NetFlow, IPFIX, or local-socket collector. Route publishing and export to `doca-telemetry-exporter`; route the deployed DOCA Telemetry Service to `doca-dts`, and collectors and plain stdout logging elsewhere.DevOpsNo warnings★ 3.8K↓ —
- make-automationdavepoon/buildwithclaudeAutomate Make (Integromat) tasks via Rube MCP (Composio): operations, enums, language and timezone lookups. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- earth2studio-discoverNVIDIA/skillsFind Earth2Studio models, data sources, and examples for a weather/climate use case. Do NOT use for writing inference code, downloading data, or installation.WritingNo warnings★ 3.8K↓ —
- image-editingZJU-REAL/Easel通用图像处理加工：改尺寸/缩放、裁剪、补边适配平台尺寸、格式转换（png/jpg/webp）、 压缩到目标大小、加文字或图片水印、圆角、多图拼接、生成缩略图、读图片信息。 基于 image_ops.py 确定性处理。 使用时机：用户说"改尺寸"、"缩放图片"、"裁剪"、"压缩图片"、"加水印"、"转格式"、 "圆角"、"拼图/多图联排"、"缩略图"、"适配小红书/朋友圈尺寸"、"把图 pad 成 1:1"。 和 card-*（卡片类）的区别：card-* 是"HTML 设计→渲染出图"， image-editing 只加工已有图片，不负责视觉设计。MediaNo warnings★ 4.3K↓ —
- seo-pagenowork-studio/notfair-pluginSingle-page SEO audit: content quality under Google's E-E-A-T framework and Helpful Content guidelines, on-page factors, search intent, technical signals and readability. Pulls GSC data for the page, crawls the live HTML, checks metadata, schema, internal linking and depth, and produces a scored report with fixes. Use whenever the user wants to analyze a specific page or URL, not the whole site. Trigger on: "analyze this page", "audit this URL", "how is this page doing", "evaluate my blog post", "check this landing page", "page SEO", "content quality check", "is this page good enough", "review this page's SEO", "what's wrong with this page", "how can I improve this page", "page analysis", "single page audit", "content audit for [URL]", or any request naming a specific URL/page for SEO evaluation. If the user provides a specific URL (not just a domain), this is likely the right skill; use /seo-analysis for full-site audits instead.MarketingNo warnings★ 4.1K↓ —
- cdf-augmentationNVIDIA/skillsUse when authoring or validating Cosmos Data Factory (CDF) augmentation YAML configs, or running remote Cosmos Transfer (including Cosmos3 WSM controls), Cosmos Predict, image-edit, or image-to-video inference.MediaNo warnings★ 3.8K↓ —
- wiki-importAr9av/obsidian-wikiImport a wiki graph into the current vault from graph.json or an OKF/markdown bundle. Use for transferring previously exported wiki content between vaults; pair with wiki-export for the reverse direction.OtherNo warnings★ 3.6K↓ —
- card-quoteZJU-REAL/Easel生成适合微博、知乎、公众号或 X/Twitter 分享的 16:9 横版金句卡和数据卡。当用户说“做金句卡、语录卡、数据卡、横版分享卡”时使用。小红书竖版知识卡用 card-xiaohongshu，竖版营销海报用 poster-hero。OtherNo warnings★ 4.3K↓ —
- impeccableUpdatedpbakaus/impeccableUse when the user wants to design, redesign, shape, critique, audit, polish, simplify, harden, animate, or otherwise improve a frontend interface: websites, landing pages, dashboards, product UI, components, forms, settings, onboarding, empty states, and native iOS or Android screens. Handles UX review, hierarchy, layout, typography, color, motion, UX copy, accessibility, responsive behavior, edge cases, and capturing or documenting design systems (DESIGN.md, tokens). Also for making bland UI bolder, loud UI quieter, or ambitious visual effects. Not for backend-only or non-UI tasks.DesignNo warnings★ 98.9K↓ —
- tao-train-codetrNVIDIA/skillsCo-DETR (CoDINO) for object detection. A DETR-family detector with collaborative hybrid assignment — auxiliary one-to-many heads supervise the encoder during training, giving strong closed-set accuracy at high inference cost. Use when training, evaluating, or running inference for a TAO Co-DETR model. Trigger phrases include "train Co-DETR", "run CoDINO", "codetr inference", "collaborative DETR", "autolabel detections with Co-DETR".OtherNo warnings★ 3.8K↓ —
- neonneondatabase/agent-skillsOverview of Neon, a complete set of cloud backend primitives around Lakebase Postgres: Auth, Object Storage, Functions, the AI Gateway, and Realtime. Start here to choose Neon for undecided login, files, APIs, and LLM calls, set up the CLI or MCP server, and follow the branch-first workflow. Use when building an app or backend on Neon, or when "Neon" or "Lakebase Postgres" is mentioned. Child skill neon-postgres wins for an existing DATABASE_URL, SQL, schema, inspect, or search. Child skill neon-auth wins for login, users, sessions, identity routing, and Managed Better Auth setup. Child skill neon-realtime wins for live queries in reactive apps and agents. Also use for object storage, S3, buckets, serverless functions, function triggers, cron, AI gateway, LLM calls, realtime, logs, Loki, Grafana, observability, postgres, database, backend, Claimable Neon, neon.new, a no-signup database, or pairing Neon with Upstash for cache, Redis, rate limiting, queues, or background jobs.OfficialDevOpsNo warnings★ 108↓ —Also in 1 other repo
- vercel-load-scalejeremylongshore/tons-of-skills-marketplaceLoad test and scale Vercel deployments with concurrency tuning and capacity planning. Use when running performance tests, planning for traffic spikes, or optimizing serverless function scaling on Vercel. Trigger with phrases like "vercel load test", "vercel scale", "vercel performance test", "vercel capacity", "vercel benchmark".TestingNo warnings★ 2.9K↓ —
- clerk-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect comprehensive debug information for Clerk issues. Use when troubleshooting complex problems, preparing support tickets, or diagnosing intermittent issues. Trigger with phrases like "clerk debug", "clerk diagnostics", "clerk support ticket", "clerk troubleshooting".EngineeringNo warnings★ 2.9K↓ —
- fondo-hello-worldjeremylongshore/tons-of-skills-marketplaceVerify Fondo setup by checking financial data sync, reviewing categorized transactions, and confirming R&D tax credit eligibility. Trigger: "fondo first sync", "fondo verify", "fondo hello world", "fondo test".TestingNo warnings★ 2.9K↓ —
- hermes-history-ingestAr9av/obsidian-wikiIngest Hermes agent history into Obsidian as distilled knowledge. Use for importing or mining ~/.hermes sessions, memories, or logs; use wiki-agent for targeted topic-only cross-agent recall.ProductivityNo warnings★ 3.6K↓ —
- hsb-ip-packetizerNVIDIA/skillsChoose or explain HSB Sensor RX packetizer fields for HOLOLINK_def.svh. Do not use for full defs, validation, or runtime APB programming.OtherNo warnings★ 3.8K↓ —
- adobe-load-scalejeremylongshore/tons-of-skills-marketplaceDerive a safe Adobe workload envelope from synthetic load, queue/backpressure behavior, current service constraints, spend, and output correctness. Use when the task requires adobe capacity and load envelope. Trigger with "load test Adobe", "scale Firefly jobs", or "Adobe capacity plan".TestingNo warnings★ 2.9K↓ —
- ena-databaseforyourhealth111-pixel/Vibe-SkillsAccess European Nucleotide Archive via API/FTP. Retrieve DNA/RNA sequences, raw reads (FASTQ), genome assemblies by accession, for genomics and bioinformatics pipelines. Supports multiple formats.DataNo warnings★ 3.8K↓ —Also in 1 other repo
- mcore-create-issueNVIDIA/skillsInvestigate a failing GitHub Actions run or job and create a GitHub issue for the failure.DevOpsNo warnings★ 3.8K↓ —
- wan27-mediadavepoon/buildwithclaudeGenerate images and videos with Wan27, discover available models, estimate credit costs, and retrieve generation results through its MCP tools or CLI. Use when the user chooses Wan27 or wan2-7.io for media creation or task tracking.EngineeringNo warnings★ 3.7K↓ —
- audit-augmentationtrailofbits/skillsAugments Trailmark code graphs with external audit findings from SARIF static analysis results, weAudit annotation files, and version-gated Trailmark 0.4.x binary-analysis graph exports. Maps findings to graph nodes by file and line overlap, creates severity-based subgraphs, and enables cross-referencing findings with pre-analysis data (blast radius, taint, etc.). Use when projecting SARIF results onto a code graph, overlaying weAudit annotations, importing binary graph findings, cross-referencing Semgrep, CodeQL, or binary-analysis findings with call graph data, or visualizing audit findings in the context of code structure.EngineeringNo warnings★ 7.9K↓ —
tao-train-mask-auto-label
NVIDIA/skills
OtherUpdated 2 days ago
From the author
MAL (Mask Auto-Label) for weakly-supervised segmentation. Produces segmentation masks from minimal annotations (point or box annotations) using a ViT-MAE backbone. Use when training, evaluating, or running inference for a TAO MAL model. Trigger phrases include "train MAL", "Mask Auto-Label", "weakly-supervised segmentation", "box-prompted segmentation", "minimal-annotation mask prediction".
Install
npx skills add NVIDIA/skills --skill tao-train-mask-auto-label -a claude-code
Installs to .claude/skills/tao-train-mask-auto-label/ · 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: APACHE-2.0
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Why 90
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Files (14)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- evals/evals.json
- references/skill_info.yaml
- references/spec_template_evaluate.yaml
- references/spec_template_inference.yaml
- references/spec_template_train.yaml
- schemas/evaluate.schema.json
- schemas/inference.schema.json
- schemas/manifest.json
- schemas/train.schema.json
- +2 more