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 15 hours ago
48,622 skills
- atheristrailofbits/skillsSets up and runs Atheris, the coverage-guided Python fuzzer built on libFuzzer. Covers TestOneInput harnesses, FuzzedDataProvider, instrumenting both pure Python and native C extensions, and running under AddressSanitizer. Use when fuzzing a Python package, hunting memory corruption in a Python C extension, or choosing between Atheris and Hypothesis for a Python target.EngineeringNo warnings★ 7.9K↓ —
- ultraworkcode-yeongyu/oh-my-openagentThe binding ultrawork-mode directive. This file IS the directive; read it only when ultrawork mode is requested and the directive is not already in the conversation.OtherNo warnings★ 70.6K↓ —
- nemo-relay-installNVIDIA/skillsUse this skill when choosing or running NeMo Relay installation for an agent runtime, application language, framework integration, or plugin bundle, or checking a runtime's native Relay readiness. Do not use it for first-run instrumentation or export configuration.OtherNo warnings★ 3.8K↓ —
- image-enhanceZJU-REAL/Easel图片增强 / 放大 / 变清晰：高质量放大（Lanczos 2x/4x）+ 去噪 + 锐化 + 自动对比度/饱和度，改善偏糊、偏暗、噪点多的图片。当用户说 图片放大、图片变清晰、提高清晰度、图片增强、去噪点、锐化、图片太糊了、放大到高清、提升画质、优化图片、图片调亮调色 时使用。基于 shared/scripts/img_enhance.py（Pillow+OpenCV）。注意：这是传统增强非 AI 超分，凭空生成细节请用 ai-image-gen 图生图。与 image-editing 区别：那个做缩放/裁切/水印等常规操作，本 SKILL 专做画质提升。MediaNo warnings★ 4.3K↓ —
- i4h-workflow-finetuneNVIDIA/skillsFine-tune a manifest-backed GR00T or openpi remote Task on compatible LeRobot data. Use for training; do not use for inference-only Tasks or checkpoint rollout.ProductivityNo warnings★ 3.8K↓ —
- clickup-automationdavepoon/buildwithclaudeAutomate ClickUp project management including tasks, spaces, folders, lists, comments, and team operations via Rube MCP (Composio). Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- stripe-automationdavepoon/buildwithclaudeAutomate Stripe tasks via Rube MCP (Composio): customers, charges, subscriptions, invoices, products, refunds. Always search tools first for current schemas.ProductivityNo warnings★ 3.7K↓ —
- cuboid-carouselheygen-com/hyperframesA chain of bevelled cuboids rides a travelling wave as a content carousel. HyperFrames block, 1920×1080, 6.666666666666667s, 40 variables.OfficialOtherNo warnings★ 76.9K↓ —
- nemo-retriever-mcpNVIDIA/skillsUse when a task needs to search or add documents through NeMo Retriever MCP.ProductivityNo warnings★ 3.8K↓ —
- load-testing-apisjeremylongshore/tons-of-skills-marketplaceExecute comprehensive load and stress testing to validate API performance and scalability. Use when validating API performance under load. Trigger with phrases like "load test the API", "stress test API", or "benchmark API performance".TestingNo warnings★ 2.9K↓ —
- jetson-video-pipelineNVIDIA/skillsUse when planning, executing, and independently validating Jetson Video Codec SDK or PyNvVideoCodec encode/decode, transcode, segmentation, container decode, AV1, or concise acceptance workflows.MediaNo warnings★ 3.8K↓ —
- i4h-workflow-createNVIDIA/skillsCreate a minimal blank Workflow scaffold with a Scene containing ground and light plus an idle run mode. Use for fast new Workflow scaffolding.ProductivityNo warnings★ 3.8K↓ —
- i4h-workflow-dataset-mimicNVIDIA/skillsExpand workflow HDF5 demonstrations with action jitter, optionally scoped to node segments. Use for synthetic variants; do not use to collect data, alter state directly, or generate new images.ProductivityNo warnings★ 3.8K↓ —
- style-transferZJU-REAL/Easel文案风格迁移：把一段文案从一种风格改写成另一种风格（严肃→搞笑、书面→口语、文艺→直白、正式→社交媒体感）， 支持风格参考（给一段目标风格的示例文本）。 使用时机：用户说"改成搞笑风格"、"换个风格"、"风格迁移"、"改成口语化"、"改成文艺风"、 "像 XX 那样写"、"风格改写"、"换个腔调"。 和 text-polisher 的区别：polisher 提升质量不改风格，style-transfer 改变风格不做质量评估。OtherNo warnings★ 4.3K↓ —
- provider-upgradepulumi/agent-skillsUpgrade any Pulumi provider to a newer version and reconcile the resulting diff. Use when users want to upgrade or update a provider (including editing package.json, requirements.txt, pyproject.toml, go.mod, or Pulumi.yaml to bump a provider SDK), check for breaking changes before or during an upgrade, fix resources that broke after a provider upgrade, or resolve unexpected replacements, creates, or deletes in a post-upgrade preview, including pulumi-gcp v10 errors such as a missing gcp.notebooks or gcp.iap.Brand type or a required secretDataWoVersion. Applies to all providers (aws, azure-native, gcp, kubernetes, aws-native, cloudflare, datadog, etc.) — not just Tier 1. Do NOT use for querying which stacks use what package versions; use skill `package-usage` for cross-stack audits. Do NOT use for general infrastructure tasks.OfficialDevOpsNo warnings★ 78↓ —
- package-usagepulumi/agent-skillsTrack which stacks across a Pulumi organization use a specific package and at what versions. Use for cross-stack audits, identifying outdated or unmaintained package versions across many stacks, finding affected stacks before publishing breaking changes to a component package, or planning coordinated upgrade rollouts. Do NOT use for upgrading a cloud provider package (pulumi-aws, pulumi-azure-native, pulumi-gcp, pulumi-kubernetes, etc.) in a single project — use skill `provider-upgrade` instead. Do NOT use for general infrastructure creation, resource provisioning, or how-to questions about a package.OfficialDevOpsNo warnings★ 78↓ —
- tao-run-on-slurmNVIDIA/skillsRemote SLURM GPU cluster execution over SSH with sbatch/srun, Pyxis/Enroot containers, and Lustre-backed results. Use when running TAO training/eval/inference jobs on an on-prem or DGX SLURM cluster. Trigger phrases include "run on SLURM", "submit sbatch", "DGX SLURM cluster", "Pyxis/Enroot container", "Lustre dataset".OtherNo warnings★ 3.8K↓ —
- principle-fix-root-causesbacknotprop/pstackApply when debugging. Trace each symptom back to the first place the system went wrong and fix it there. A guard is a fix only when the state it handles is legitimate.EngineeringNo warnings★ 3.3K↓ —Also in 1 other repo
- figma-automationdavepoon/buildwithclaudeAutomate Figma tasks via Rube MCP (Composio): files, components, design tokens, comments, exports. Always search tools first for current schemas.DesignNo warnings★ 3.7K↓ —
- pulumi-context-apipulumi/agent-skillsQuery the Pulumi Context API, a graph query interface over an organization's infrastructure in Pulumi Cloud. Use when a question is about relationships or reachability across resources and stacks: the impact of a change ("what breaks if I change this?", blast radius), what depends on a resource or a stack's outputs, which provider instances manage which resources and at what versions, orphaned or unreferenced resources, or references that cross stacks and cloud accounts, including resources Pulumi doesn't manage. Don't load it for finding a single resource by name, type, or property (Resource Search covers that), or for update history and failure debugging (use skill `pulumi-debug-failed-operation`).OfficialEngineeringNo warnings★ 78↓ —
- gsd:spikedavepoon/buildwithclaudeSpike an idea through experiential exploration, or propose what to spike next (frontier mode)OtherNo warnings★ 3.7K↓ —
- using-ovnewtonNVIDIA/skillsConnect 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.MediaNo warnings★ 3.8K↓ —
- figmaheygen-com/hyperframesBring Figma into a HyperFrames video - rendered assets, brand tokens, components, storyboard frames as reconstructed motion (frames read as states, not slides), shaders and connector-assisted motion. Use when the person pastes a figma.com link or asks to use a Figma design, frame, logo or brand.OfficialDesignNo warnings★ 76.9K↓ —
- 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-bench
NVIDIA/skills
FinanceUpdated 3 days ago
From the author
Run `doca_bench` (DOCA 2.7.0 or newer) to measure throughput, bulk latency, precision latency, or maximum bandwidth for RDMA, Compress, AES-GCM, SHA, DMA, EC, Ethernet, Comch, or GPUNetIO on a host or BlueField Arm. Use it to discover enabled benchmark libraries, capture a reproducible command/version/device/environment baseline, compare stable runs against a declared tolerance, or diagnose configuration, device-binding, workload-precondition, and measurement failures. Trigger for requests such as measuring BlueField compression speed, NIC RDMA throughput, crypto latency, or a pre-upgrade baseline. Do not use for application end-to-end timing, custom benchmark code, DOCA installation, or binary patches.
Install
npx skills add NVIDIA/skills --skill doca-bench -a claude-code
Installs to .claude/skills/doca-bench/ · 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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Files (8)
- BENCHMARK.md
- CAPABILITIES.md
- SKILL.md
- SKILLCARD.yaml
- TASKS.md
- evals/evals.json
- skill-card.md
- skill.oms.sig