Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
45.100 de skill-uri din 2.196 de depozite · actualizat acum 6 ore
45.100 de skill-uri
- gsd:add-tododavepoon/buildwithclaudeCapture idea or task as todo from current conversation contextProductivitateFără avertismente★ 3,7 K↓ —
- readdavepoon/buildwithclaudePreview a distilled wiki page from inside Claude Code. Prints title, summary, source count, and the local md path. Full body lives on disk — open with the user's editor. Invoked as `/read <title_or_id>`.RedactareFără avertismente★ 3,7 K↓ —
- 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.ProductivitateFără avertismente★ 3,7 K↓ —
- memory-bridgeAr9av/obsidian-wikiBrowse or compare wiki knowledge by originating AI tool. Use for cross-tool memory questions, tool-specific knowledge, or gap/diff analysis between Codex, Claude, Hermes, and other agents.ProductivitateFără avertismente★ 3,6 K↓ —
- wiki-rebuildAr9av/obsidian-wikiArchive and rebuild wiki knowledge from source, or restore a prior archive. Use for full restart/recovery when incremental repair is inappropriate; this is broader and more destructive than ordinary update or lint.AlteleFără avertismente★ 3,6 K↓ —
- holoscan-install-containerNVIDIA/skillsInstall and verify the Holoscan SDK 5.x CUDA 13 development container after checking release availability and host compatibility.AlteleFără avertismente★ 3,7 K↓ —
- managing-python-releaseskajisho5/ffmpeg-skillManages Python library releases including semantic versioning, changelog maintenance (Keep a Changelog format), release automation with GitHub Actions, and deprecation workflows. Use when planning releases, writing changelogs, automating release pipelines, or communicating breaking changes.InginerieFără avertismente★ 3 K↓ —
- writing-defect-reportskajisho5/ffmpeg-skillEstablish a finding before you publish it, and correct it after — headlines that overstate what actually reproduces at the layer a user sees, reporting code that no entry point can reach or that is already dead, filing a caveat the project's own records already answered, re-verifying your prior notes against the tree instead of against the note, choosing the narrowest injection point that reproduces a failure without breaking the run first, capturing probe output a harness swallows, and withdrawing a published claim in the thread where you published it. Use when filing an issue, writing the body of a PR or code review that asserts a defect, triaging someone else's report, or deciding whether a suspicious observation is reportable at all.RedactareFără avertismente★ 3 K↓ —
- data-storytellingforyourhealth111-pixel/Vibe-SkillsTransform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.DateFără avertismente★ 3,8 K↓ —
- nvshmem-tune-performanceNVIDIA/skillsRoute NVSHMEM tuning to data collection, remote transport, NIC-to-PE mapping, or TMA. Do not use for unrelated CUDA, NCCL, or application tuning.AlteleFără avertismente★ 3,7 K↓ —
- physicsnemo-shard-tensorNVIDIA/skillsOfficial NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and register shard patches to enable new layers/ops, and bootstrap multi-GPU correctness tests. Use when working with ShardTensor, scatter_tensor, domain parallelism, sequence/spatial sharding, ring attention, DeviceMesh + DDP/FSDP2 hybrid parallelism, or physicsnemo.domain_parallel. Do NOT use for generic PyTorch DDP/FSDP setup without domain parallelism, picking a PhysicsNeMo model or example (use physicsnemo-discover), or non-distributed training questions.TestareFără avertismente★ 3,7 K↓ —
- concurrent-brancheskajisho5/ffmpeg-skillResolve conflicts and merges when several branches are open against one repo at the same time — the hotspot files every change must touch (registry manifests, a single version field, shared tool config, one aggregated test module, tracked build output), union-vs-recompute-vs-rebuild as three different correct resolutions, generated artifacts that must never be merged, non-deterministic serialization that makes every branch conflict, renumbered identifiers that git cannot show you, and why a clean auto-merge is not a passing test. Use when rebasing or merging a long-lived branch, resolving conflict markers, reviewing a merge commit, deciding what a repo should commit vs generate, or setting up a repo that will take parallel contributions.TestareFără avertismente★ 3 K↓ —
- building-python-mcp-serverskajisho5/ffmpeg-skillBuilds robust Python MCP (Model Context Protocol) servers with FastMCP — tool design, error contracts, event-loop-safe blocking work, subprocess/CLI wrapping, single-file vs packaged distribution, global-state-free testing, and prompt-injection awareness. Use when writing an MCP server, exposing a tool or CLI to an LLM client, debugging tool registration/packaging, or testing MCP tools.InginerieFără avertismente★ 3 K↓ —
- guided-goalNoudavepoon/buildwithclaudeTurn a rough objective into a bounded, verifiable completion contract, confirm it, then execute it with a finite attempt cap. Use when the user wants autonomous work but the outcome, proof, scope, or stopping point is still vague.JuridicFără avertismente★ 3,7 K↓ —
- ramp-data-handlingjeremylongshore/tons-of-skills-marketplaceDefine collection, redaction, retention, access, and deletion controls for Ramp financial, identity, receipt, and card data. Use when designing storage, logs, support bundles, analytics, or card-detail delivery. Trigger with "Ramp data handling" or "Ramp PCI boundary".DateFără avertismente★ 2,9 K↓ —
- sentry-rate-limitsjeremylongshore/tons-of-skills-marketplaceManage Sentry rate limits, quotas, and event volume optimization. Use when hitting 429 errors, tuning sampleRate/tracesSampleRate, filtering noisy browser errors with beforeSend, configuring inbound data filters, setting per-key rate limits, or monitoring quota usage via the Sentry stats API. Trigger: "sentry rate limit", "sentry quota", "reduce sentry events", "sentry 429", "sentry spike protection", "sentry sampling".BrowserFără avertismente★ 2,9 K↓ —
- running-load-testsjeremylongshore/tons-of-skills-marketplaceCreate and execute load tests for performance validation using k6, JMeter, and Artillery. Use when validating application performance under load conditions or identifying bottlenecks. Trigger with phrases like "run load test", "create stress test", or "validate performance under load".TestareFără avertismente★ 2,9 K↓ —
- cuopt-installNVIDIA/skillsInstall cuOpt for Python, C, or server via pip, conda, or Docker; verify the install. For building cuOpt from source, see cuopt-developer.DevOpsFără avertismente★ 3,7 K↓ —
- jetson-customize-uphyNVIDIA/skillsConfigure Jetson UPHY lane allocation (uphy0/uphy1-config) on Orin/Thor custom carriers. Do NOT use for pinmux or PCIe-only edits.RedactareFără avertismente★ 3,7 K↓ —
- push-to-registryhashicorp/agent-skillsPush Packer build metadata to HCP Packer registry for tracking and managing image lifecycle. Use when integrating Packer builds with HCP Packer for version control and governance.OficialMediaFără avertismente★ 909↓ —
- tao-train-bevfusionNVIDIA/skillsBEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view (BEV) space, used in autonomous driving for robust 3D perception. Use when training, evaluating, or running inference for a TAO BEVFusion model. Trigger phrases include "train BEVFusion", "LiDAR + camera fusion", "BEV 3D detection", "multi-sensor 3D perception".AlteleFără avertismente★ 3,7 K↓ —
- tao-train-oneformerNVIDIA/skillsOneFormer for universal image segmentation. Unifies panoptic, instance, and semantic segmentation with a single architecture using task-conditioned queries. Use when training, evaluating, exporting, quantizing, or running inference for a TAO OneFormer model. Trigger phrases include "train OneFormer", "universal segmentation", "task-conditioned segmentation", "panoptic / instance / semantic in one model".MediaFără avertismente★ 3,7 K↓ —
- nemoclaw-user-guideNVIDIA/skillsGuides human users' AI agents to the NemoClaw docs MCP server and canonical Fern documentation in Markdown form. Use when users ask how to install, configure, operate, troubleshoot, secure, or learn NemoClaw with an AI coding assistant. Trigger keywords - nemoclaw docs, use nemoclaw with ai agent, nemoclaw mcp docs, nemoclaw install help, nemoclaw quickstart, nemoclaw markdown docs, llms.txt, agent skills.InginerieFără avertismente★ 3,7 K↓ —
- jetson-video-recipeNVIDIA/skillsUse when turning a Jetson encoder use case into one surface-neutral recipe with native Video Codec SDK and PyNvVideoCodec projections.MediaFără avertismente★ 3,7 K↓ —
foundationpose-setup
NVIDIA/skills
AlteleActualizat acum 17 ore
De la autor
Install or repair the FoundationPose perception pipeline and build its FoundationStereo TensorRT engines. Use for SAM3/TAO dependency conflicts, CUDA library failures, and depth-engine shape or precision decisions.
Instalare
npx skills add NVIDIA/skills --skill foundationpose-setup -a claude-code
Se instalează în .claude/skills/foundationpose-setup/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Doar instrucțiuniFolosește rețeauaLicență: APACHE-2.0
Verificări de siguranță pe SKILL.md
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De ce 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (9)
- BENCHMARK.md
- SKILL.md
- agents/openai.yaml
- evals/config.yml
- evals/evals.json
- references/engine.md
- references/installation.md
- skill-card.md
- skill.oms.sig