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.
47.966 de skill-uri din 2.309 depozite · actualizat acum 4 ore
47.966 de skill-uri
- 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↓ —
- ultracostdavepoon/buildwithclaudeQuality-first per-stage model routing AND a pre-flight cost gate for Claude Code dynamic workflows. Use when authoring or running ultracode / dynamic-workflow scripts, spawning subagents, or writing agent() stages — pin the right model and effort on every stage, then estimate cost and confirm with the user before launching. Verify scripts with /ultracost:check.RedactareFără avertismente★ 3,7 K↓ —
- orbit-cardheygen-com/hyperframesA single feature card orbits a dot sphere on approved Blender camera motion. HyperFrames block, 1920×1080, 10s, 4 variables.OficialAlteleFără avertismente★ 75,8 K↓ —
- cursor-ai-chatjeremylongshore/tons-of-skills-marketplaceMaster Cursor AI Chat with @-mentions, inline edit, and conversation patterns. Triggers on "cursor chat", "cursor ai chat", "ask cursor", "cursor conversation", "chat with cursor", "Cmd+L", "inline edit".RedactareFără avertismente★ 2,9 K↓ —
- 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.DevOpsFără avertismente★ 108,9 K↓ —
- paperclip-pagepaperclipai/paperclipPublish static HTML pages and asset folders to the Paperclip S3/CloudFront page host. Use when asked to deploy, host, or share a persistent page, viewer, prototype, report, or static site without here.now.DevOpsFără avertismente★ 108,9 K↓ —
- paperclip-task-bridgepaperclipai/paperclipCreate, comment on, update, and list Paperclip tasks from Hermes using scoped Paperclip API credentials.ProductivitateFără avertismente★ 108,9 K↓ —
- lindy-install-authjeremylongshore/tons-of-skills-marketplaceSet up a Lindy account and authenticated webhook trigger. Use when onboarding to Lindy, configuring bearer authentication for webhook triggers, or connecting Lindy agents to your application. Trigger with phrases like "install lindy", "setup lindy", "lindy auth", "configure lindy webhook", "lindy webhook secret".AlteleFără avertismente★ 2,9 K↓ —
- figma-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect Figma API diagnostic evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Figma API problems. Trigger with phrases like "figma debug", "figma support bundle", "collect figma logs", "figma diagnostic".DesignFără avertismente★ 2,9 K↓ —
- linear-cost-tuningjeremylongshore/tons-of-skills-marketplaceAnalyze and reduce the infrastructure and quota cost of a Linear integration through workload accounting, query budgets, and push-based updates. Use when a sync is wasteful, throttled, or expensive to operate. Trigger with "reduce Linear API load", "budget Linear queries", or "tune Linear integration cost".DevOpsFără avertismente★ 2,9 K↓ —
- linear-rate-limitsjeremylongshore/tons-of-skills-marketplaceImplement Linear request, endpoint, and GraphQL complexity budgets with reset-aware throttling. Use when coordinating workers or recovering from RATELIMITED errors. Trigger with "handle Linear rate limits", "budget Linear complexity", or "throttle Linear workers".AlteleFără avertismente★ 2,9 K↓ —
- doc-convertZJU-REAL/Easel把 Markdown 文稿排版并转换为 HTML、可打印 PDF 或长图 PNG。当用户说“Markdown/MD 转 HTML/PDF/图片、文章导出长图、MD 排版/渲染”时使用。仅处理 Markdown;DOCX/PPT 不在范围内,层级大纲转脑图用 mindmap。DocumenteFără avertismente★ 4,2 K↓ —
- doca-container-deploymentNVIDIA/skillsRunning an in-bundle DOCA service as a container on a BlueField (Argus, DMS, Firefly, or UROM service): kubelet standalone watching a static-pod manifests directory, YAML pod-spec drop, kubelet status / ENTRYPOINT logs / per-service liveness. Trigger on "how do I run my built service on the BlueField?", "where do I drop the pod-spec YAML?", "pod stuck in Pending / ImagePullBackOff / CrashLoopBackOff", "container Running but service isn't ready", "pod restart-loops after edit", or "DMS and Firefly together", even without naming container deployment. A DOCA-linked binary launched directly on the host or Arm belongs to doca-bare-metal-deployment. Covers smoke-before-bulk and the layered error taxonomy (pod-spec, scheduling, image pull, runtime, mount, network, version, host). Refuse and route elsewhere for per-service config schemas, DOCA install, library-API questions, external NVIDIA services (BlueMan, HBN, SNAP, Virtio-net), or full Kubernetes-cluster ops.DevOpsFără avertismente★ 3,8 K↓ —
- paperclippaperclipai/paperclipInteract with the Paperclip control plane API for task coordination and governance. Use when checking assignments, updating issue status, posting comments, delegating work, managing routines, or calling Paperclip API endpoints.PlanificareFără avertismente★ 108,9 K↓ —
- tao-train-mask-auto-labelNVIDIA/skillsMAL (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".AlteleFără avertismente★ 3,8 K↓ —
- 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".MediaFără avertismente★ 3,8 K↓ —
- 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".AlteleFără avertismente★ 3,8 K↓ —
- 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.JuridicFără avertismente★ 3,8 K↓ —
- 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".AlteleFără avertismente★ 3,8 K↓ —
- holoscan-module-lifecycleNVIDIA/skillsDevelop external Holoscan Modules with the Holoscan CLI and use them in Holoscan applications: scaffold, test, Python bindings, DEB/WHEEL packaging, and clean-consumer proof.TestareFără avertismente★ 3,8 K↓ —
- nemotron-retrieval-recipesNVIDIA/skillsUse when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes.DevOpsFără avertismente★ 3,8 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↓ —
- codonfm-scoreNVIDIA/skillsValidate, prepare, or run public CodonFM Encodon masked-codon variant scoring and review compatibility of its scoring workflows. Use only when the user explicitly requests CodonFM or Encodon, or that context is already established in the conversation. Do not select this skill for a generic variant-scoring request without that context; ask for the variant and intended analysis first.InginerieFără avertismente★ 3,8 K↓ —
- teachmichael-denyer/pstack-claudeExplain a body of work plainly so a person actually understands it. Runs the `how` and `why` skills and weaves what they find into one clear explanation. Use for 'teach me this', 'help me really understand X', 'explain this change or subsystem to me'.AlteleFără avertismente★ 3,7 K↓ —
pulumi-context-api
pulumi/agent-skills
De la autor
Query 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`).
Instalare
npx skills add pulumi/agent-skills --skill pulumi-context-api -a claude-code
Se instalează în .claude/skills/pulumi-context-api/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Fișiere (2)
- SKILL.md
- use_cases.yaml