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 5 hours ago
48,622 skills
- validate-skillmdjeremylongshore/tons-of-skills-marketplaceValidate and grade SKILL.md files with the marketplace rubric, static production checks, and optional J-Rig behavioral evidence. Use when creating a skill, checking quality, preparing a marketplace submission, or reviewing evaluation results. Trigger with "validate this skill", "grade my skill", "deep eval", "check SKILL.md", or "/validate-skillmd".OtherNo warnings★ 2.9K↓ —
- ulw-loopcode-yeongyu/oh-my-openagentA goal-like loop that decomposes work into systematic, evidence-bound ultrawork steps. Use when the user wants a goal loop or durable, checkpointed execution.OtherNo warnings★ 70.6K↓ —
- verify-paperclippaperclipai/paperclipVerify Paperclip from a source checkout, published npm install, or existing staging or production stack. Select the environment, data state, version, and platform; drive real UI or CLI journeys and capture evidence. Route deployment to the private Cloud skills.DevOpsNo warnings★ 109.7K↓ —
- scholarly-publishingforyourhealth111-pixel/Vibe-SkillsUse when planning an end-to-end scholarly publishing workflow, including manuscript source-of-truth, submission assets, revision/rebuttal files, camera-ready checks, reproducible build expectations, and publication package structure.PlanningNo warnings★ 3.8K↓ —
- security-researchcode-yeongyu/oh-my-openagentOmO: Just type "mass ulw" keyword with your prompt. Now you are the master of graph engineering.SecurityNo warnings★ 70.6K↓ —
- ulw-researchcode-yeongyu/oh-my-openagentRuns maximum-saturation research with a cooperating team, claim-graph gating, and a cited, QA'd deliverable. Use when the user explicitly asks for research or a deep investigation, including any 'ulw' research wording.ScienceNo warnings★ 70.6K↓ —
- fondo-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect diagnostic information for Fondo support including integration status, transaction discrepancies, and financial data reconciliation issues. Trigger: "fondo debug", "fondo support", "fondo diagnostic", "fondo reconciliation".EngineeringNo warnings★ 2.9K↓ —
- 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↓ —
- doca-compressNVIDIA/skillsHardware compression offload with DOCA Compress on a BlueField DPU, ConnectX NIC, or host: DEFLATE compress and decompress, plus LZ4 decompress (stream and block; LZ4 encode is NOT supported), instead of CPU zlib / zstd. Trigger on "offload this gzip", "decompress incoming network data on the NIC", "compress task returns INVALID_VALUE on alloc_init", "submitted a task but no completion arrives", or "decompress LZ4 on the BlueField", even without naming DOCA Compress. Covers enabling compress-deflate, decompress-deflate, decompress-lz4-stream and decompress-lz4-block tasks on a doca_compress context, sizing source / destination doca_buf against the per-task cap query, mmap permissions, offload vs CPU decisions, a round-trip smoke, and DOCA_ERROR_* from Compress calls. Refuse and route elsewhere for zstd / Snappy / brotli, LZ4 encode (a CPU LZ4 library), pure mmap-to-mmap copies (doca-dma), or DOCA Core lifecycle internals.ProductivityNo warnings★ 3.8K↓ —
- gsd:ai-integration-phasedavepoon/buildwithclaudeGenerate AI design contract (AI-SPEC.md) for phases that involve building AI systems — framework selection, implementation guidance from official docs, and evaluation strategyDesignNo warnings★ 3.7K↓ —
- website-generatorjeremylongshore/tons-of-skills-marketplaceUse when the user asks to create a website, build a site, generate a landing page, or mentions B12. Trigger phrases: "create a website", "build me a site", "website for my business", "generate a landing page", "B12 website". Trigger with 'website', 'generator'.DesignNo warnings★ 2.9K↓ —
- nemotron-retrieval-recipesNVIDIA/skillsUse when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes.DevOpsNo warnings★ 3.8K↓ —
- skill-quality-gateZJU-REAL/Easel发布前质量关卡：合规风险检测（敏感词、绝对化用语、平台规则） + 产物质量审核（完整性、可读性、平台适配度）。一次检查，两道把关。 当用户说"检查合规"、"质量检查"、"能不能发"、"有没有敏感词"、 "审核一下"、"发布前检查"、"质量够不够"时使用。 合并了原 skill-check-compliance 和 skill-review-deliverable 的能力。LegalNo warnings★ 4.3K↓ —
- shopify-functionsjeremylongshore/tons-of-skills-marketplaceBuild Shopify Functions for custom discount, payment, and delivery logic in a WASM sandbox. Use when creating custom discount rules, payment customizations, delivery options, or cart transformations that run server-side at checkout. Trigger with phrases like "shopify functions", "shopify discounts", "shopify wasm", "custom discount function", "shopify checkout customization".OtherNo warnings★ 2.9K↓ —
- finta-hello-worldjeremylongshore/tons-of-skills-marketplaceSet up your first fundraise pipeline in Finta with investors and deal stages. Use when starting a new fundraise, importing investor lists, or learning Finta's pipeline management features. Trigger with phrases like "finta hello world", "finta first pipeline", "start fundraise in finta", "finta quick start".FinanceNo warnings★ 2.9K↓ —
- text-polisherZJU-REAL/Easel文本润色打磨：七轮聚焦扫描（清晰度/语气/价值感/证据/具体性/情感/风险） + 去 AI 感改写（砍填充短语、打破公式化结构、主动语态、变化节奏）。 当用户说"帮我改一下"、"润色"、"文案打磨"、"编辑文案"、 "去 AI 感"、"太像 AI 了"、"改自然"、"校对"、"文案优化"时使用。 合并了原 copy-editing（系统化编辑）和 stop-slop（去 AI 感）的能力。WritingNo warnings★ 4.3K↓ —
- sentry-load-scalejeremylongshore/tons-of-skills-marketplaceScale Sentry for high-traffic applications handling millions of events per day. Use when optimizing SDK performance at high volume, implementing adaptive sampling, managing quotas and costs at scale, or deploying Sentry across multi-region infrastructure. Trigger with phrases like "sentry high traffic", "scale sentry", "sentry millions events", "sentry high volume", "sentry quota management", "sentry load test".TestingNo warnings★ 2.9K↓ —
- tao-finetune-kumo-anomalyNVIDIA/skillsKumo-Anomaly — diffusion-based anomaly detection and fine-tuning for multivariate time series. Use when the user asks to "fine-tune Kumo-Anomaly", "run Kumo-Anomaly inference", "detect anomalies with diffusion", "time series anomaly detection", "finetune Kumo-Anomaly", "use perform_anomaly_analysis_with_diffusion", "automl Kumo-Anomaly", "hyperparameter search Kumo-Anomaly", "hyperparameter optimization" or mentions "curriculum_medium.yaml", "final_model.pth", "kumo-anomaly", "sdk/anomaly_analysis", or "TSDiffuser_Generic".OtherNo warnings★ 3.8K↓ —
- nemo-fabric-build-adapterNVIDIA/skillsBuild, migrate, review, and maintain third-party NVIDIA NeMo Fabric adapters against the public adapter contract. Use when creating adapter or target descriptors, mapping AgentConfig into an agent harness or custom-agent runtime, implementing start/invoke/stop, declaring schemas and capabilities, packaging discovery metadata, or assessing adapter conformance. Do not use for consumer applications that only call the NVIDIA NeMo Fabric SDK.LegalNo warnings★ 3.8K↓ —
- audio-visualizerZJU-REAL/Easel音频可视化视频：把纯音频（播客片段、音乐、口播金句、电台）渲染成带动态波形/频谱的视频，配封面和标题，好发到抖音/B站/视频号等只收视频的平台。当用户说 音频可视化、音频转视频、播客做成视频、音频波形视频、音乐可视化、给音频配画面、声波视频、频谱视频、把音频发到视频平台、电台切片视频 时使用。基于 shared/scripts/audio_viz.py（ffmpeg showwaves/showcqt/showspectrum）。与 audio-mix 区别：那个输出音频，本 SKILL 输出视频；与 slideshow-video 区别：那个用图片，本 SKILL 用音频驱动画面。MediaNo warnings★ 4.3K↓ —
- tao-finetune-cosmos-embedNVIDIA/skillsCosmos-Embed1 video-text embedding for text-to-video retrieval, video-to-video search, semantic deduplication, and fine-tuning. Use when the user asks to "fine-tune Cosmos-Embed1", "run cosmos-embed inference", "export Cosmos-Embed1", "embed videos", or "search videos with text".MediaNo warnings★ 3.8K↓ —
- tao-run-inference-serviceNVIDIA/skillsStart, query, and stop a network-specific TAO inference microservice ({network_arch}-inference-microservice) by delegating container execution to the appropriate platform skill. Handles container image resolution, job-payload JSON construction, and the service registry. Use when the user wants to run inference on a TAO model checkpoint using a microservice container, deploy a TAO inference endpoint, or stop a running inference container.DevOpsNo warnings★ 3.8K↓ —
- tao-run-dinov3-ssl-deftNVIDIA/skillsRun iterative DINOv3 SSL DEFT data selection and retraining from an unlabeled pool, using GRIT or multi-task weakness and fixed-encoder retrieval. Use for active-learning-style DINOv3 mining, not plain pretraining/fine-tuning (tao-train-dinov3) or AOI/PAS DEFT.ProductivityNo warnings★ 3.8K↓ —
- tao-train-grounding-dinoNVIDIA/skillsGrounding DINO for open-set object detection. Combines DINO-style detection with a BERT text encoder for language-guided detection — detects objects described by text prompts without a fixed class vocabulary. Use when training, evaluating, exporting, quantizing, or running inference for a TAO Grounding DINO model. Trigger phrases include "train Grounding DINO", "open-vocabulary detection", "text-prompted detector", "language-guided object detection".OtherNo warnings★ 3.8K↓ —
using-ovnewton
NVIDIA/skills
MediaUpdated 2 days ago
From the author
Connect the Newton physics engine to an Omniverse simulation or ovstage with ovnewton. Use when importing a populated ovstage into Newton, stepping its physics, synchronizing stage edits, or publishing simulation state for Omniverse rendering.
Install
npx skills add NVIDIA/skills --skill using-ovnewton -a claude-code
Installs to .claude/skills/using-ovnewton/ · 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 onlyUses the networkLicence: APACHE-2.0
Safety checks on SKILL.md
No warnings.
Why 90
Security100
Provenance83
Maintenance100
Licence100
Adoption57
Files (7)
- BENCHMARK.md
- SKILL.md
- evals/EVAL.md
- evals/config.yml
- evals/evals.json
- skill-card.md
- skill.oms.sig