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.
48.168 de skill-uri din 2.325 de depozite · actualizat acum 5 ore
48.168 de skill-uri
- i4h-workflow-setupNVIDIA/skillsPreflight and set up the root-level workflow runtime. Use for installation, missing component environments, or third-party failures; do not use for rollout validation.ProductivitateFără avertismente★ 3,8 K↓ —
- principle-boundary-disciplinebacknotprop/pstackApply when wiring validation, error handling, or framework adapters. Concentrate guards at system boundaries (CLI, config, network, external APIs); trust internal types and keep business logic in pure functions.InginerieFără avertismente★ 3,3 K↓ —Apare și în 2 alte depozite
- apply-aestheticplugin87/ux-ui-agent-skillsApply a visual direction, an archetype (high-end agency, editorial minimal, brutalist, soft-SaaS, dark-tech) or one of 2,144 named design systems (apple, linear-app, stripe, vercel, notion, material, shadcn, spotify, tesla…), by resolving it into the token system. Use when the user wants a specific look/vibe/brand feel, or asks to make a design feel premium/expensive/non-generic.DesignFără avertismente★ 3,1 K↓ —
- ops-triagedavepoon/buildwithclaudeCross-platform issue triage. Pulls from Sentry (MCP), Linear (MCP), GitHub Issues (gh). Cross-references against code to find already-fixed issues. Auto-resolves fixed ones. Dispatches agents for active issues.InginerieFără avertismente★ 3,7 K↓ —
- constraint-driven-developmentaddyosmani/agent-skillsEstablishes a project's quality bar as a written contract and stops agents quietly lowering it. Interviews the user on which dimensions matter, supplies sane default thresholds when they have no number in mind, records everything in CONSTRAINTS.md, and watches the diff for a weakened bar — new @ts-ignore or eslint-disable suppressions, skipped or deleted tests, assertions stripped out, unimplemented stubs, thresholds edited down. Use when no quality bar is written down, when the user says "set up constraints" or "define our standards", when the user wants dimensions they care about — accessibility, web performance, coverage — set up as enforced constraints, when an agent keeps silencing checks or skipping tests to get to green, when you need a coverage or performance threshold and don't know what number to pick, or when an agent writes more code than anyone will read.TestareFără avertismente★ 112,1 K↓ —
- wiki-updateAr9av/obsidian-wikiSync knowledge from the current project into the Obsidian wiki. Use when work already in the current project should be distilled into the vault; named-vault routing includes @work update wiki. wiki-capture saves the current conversation and wiki-ingest handles external/new sources.ProductivitateFără avertismente★ 3,6 K↓ —
- holoscan-install-wheelNVIDIA/skillsInstall Holoscan SDK 5.x CUDA 13 Python wheels in an isolated environment, choosing the full stack or version-matched components.InginerieFără avertismente★ 3,8 K↓ —
- uninstalldavepoon/buildwithclaudeCompletely remove claude-ops plugin, all stored credentials, cached files, shell exports, and MCP registrations. Confirms each step before deletion.AlteleFără avertismente★ 3,7 K↓ —
- maintain-formal-verification-skillmichael-denyer/pstack-claudeBring a project's formal verification back in line with the code after the code changes: find the commits that touched verified code, update the model, harness, or properties to describe the code as it is now, rerun, and say whether each failure is drift in the verification or a bug in the code. Use for /maintain-formal-verification-skill, "is the model still true to the code", or after merges and refactors that touched verified code without rechecking it.InginerieFără avertismente★ 3,7 K↓ —
- nvflare-diagnose-jobNVIDIA/skillsUse when the user asks why a reported NVFLARE job failure signal occurred: the job failed, stalled, timed out, lost clients, ended with EXECUTION_EXCEPTION, or produced suspicious errors. Diagnose in simulation, POC, or production by collecting bounded evidence and mapping failure patterns to recovery actions.AlteleFără avertismente★ 3,8 K↓ —
- howActualizatmichael-denyer/pstack-claudeUse for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which package owns this", "is this the right layer"). Explains subsystem architecture, runtime flow, onboarding mental models. Use why for motivation.PlanificareFără avertismente★ 3,7 K↓ —
- performing-causal-analysisforyourhealth111-pixel/Vibe-SkillsEstimate causal effects from existing data. Use when fitting or interpreting DiD, ITS, synthetic control, regression discontinuity, or other treatment-effect analyses, including robustness checks and counterfactual plots. For choosing a study design before analysis, use designing-experiments instead.DesignFără avertismente★ 3,8 K↓ —
- golang-uber-fxsamber/cc-skills-golangGolang application framework using uber-go/fx — fx.New, fx.Provide, fx.Invoke, fx.Module, fx.Lifecycle hooks, fx.Annotate (name/group/As), fx.Decorate, fx.Supply, fx.Replace, fx.WithLogger, and signal-aware Run(). Apply when using or adopting uber-go/fx, when the codebase imports `go.uber.org/fx`, or when wiring services with fx.New. For raw DI without lifecycle, see `samber/cc-skills-golang@golang-uber-dig` skill.AlteleFără avertismente★ 3,7 K↓ —
- kiro-spec-batchgotalab/cc-sddCreate complete specs for roadmap features by dependency wave using Devin subagents when available, with permission-aware sequential and inline fallbacks.PlanificareFără 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★ 3,8 K↓ —
- canva-load-scalejeremylongshore/tons-of-skills-marketplaceDesign a mock-first Canva capacity test and a tightly authorized provider probe. Use when sizing queues, workers, token-refresh serialization, or endpoint concurrency without inventing universal quotas. Trigger with: "load test Canva", "size Canva workers", "Canva capacity plan".TestareFără avertismente★ 2,9 K↓ —
- one-pagerNouplannotator/effective-htmlMake a one-pager: one HTML page that shares an idea with teammates early, or recaps work for them, with big pictures and little words.AlteleFără avertismente★ 3,8 K↓ —
- html-planplannotator/effective-htmlDirect-invocation specialist for clear, self-contained HTML plans that preserve source material while improving hierarchy, sequence, ownership, dependencies, and reviewability. Use when the user explicitly invokes html-plan or the broad html skill routes a plan request here. Do not activate independently from a general request.PlanificareFără avertismente★ 3,8 K↓ —
- monday-automationdavepoon/buildwithclaudeAutomate Monday.com work management including boards, items, columns, groups, subitems, and updates via Rube MCP (Composio). Always search tools first for current schemas.AlteleFără avertismente★ 3,7 K↓ —
- pulumi-overviewpulumi/agent-skillsUse this skill for any task that creates, modifies, inspects, or destroys cloud infrastructure or SaaS configuration, from one-off CLI operations to full multi-resource projects, across providers in the Pulumi ecosystem. A typical project spans many providers (AWS or Azure or GCP, Kubernetes, Cloudflare, Auth0, Datadog, Vercel, and others), and Pulumi drives them through one CLI, one state model, and one credential layer. Trigger even when the user does not name Pulumi; phrasings like "deploy this app," "provision a database," "stand up a VPC," "configure Auth0," "set up Datadog monitoring," or "tear down staging" qualify. Also trigger for tasks that migrate, port, or convert existing infrastructure code (Terraform, CloudFormation, CDK, Bicep, ARM) to Pulumi. Do not trigger for application runtime code that reads or writes data via cloud SDKs; that is application code, not infrastructure.OficialDevOpsFără avertismente★ 78↓ —
- reproduce-bugtrailofbits/skillsUse when a named runtime or compiler bug in a local repository needs independent reproduction.AlteleFără avertismente★ 7,9 K↓ —
- tao-train-ocdnetNVIDIA/skillsOCDNet for scene text detection. Detects arbitrary-oriented text regions in natural images using a differentiable binarization approach. Use when training, evaluating, exporting, pruning, quantizing, retraining, or running inference for a TAO OCDNet model. Trigger phrases include "train OCDNet", "scene text detection", "arbitrary-oriented text boxes", "differentiable binarization detector".AlteleFără avertismente★ 3,8 K↓ —
- hyperplancode-yeongyu/oh-my-openagentAdversarial multi-agent planning: a hostile team cross-critiques a plan before it is formalized. Use when planning needs maximum rigor or the user asks for a hyperplan / adversarial or cross-critique plan.PlanificareFără avertismente★ 70,5 K↓ —
- physicsnemo-discoverNVIDIA/skillsOfficial NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse, generative). Points at existing files via live repo search; never writes code. Do NOT use for installation or environment setup, training-loop or other code authoring/scaffolding, contributor/CI/packaging questions, repo-specific questions in physicsnemo-sym/-cfd/-curator, or general (non-physics) ML/PyTorch.ȘtiințăFără avertismente★ 3,8 K↓ —
i4h-lerobot-viz
NVIDIA/skills
BrowserActualizat ieri
De la autor
Serve and visually inspect a converted LeRobot dataset in the browser. Use for videos and state/action timelines; do not use for raw workflow HDF5 or incomplete conversion output.
Instalare
npx skills add NVIDIA/skills --skill i4h-lerobot-viz -a claude-code
Se instalează în .claude/skills/i4h-lerobot-viz/ · 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 instrucțiuniNu am văzut acces la rețeaLicență: APACHE-2.0
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (5)
- BENCHMARK.md
- SKILL.md
- evals/evals.json
- skill-card.md
- skill.oms.sig