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.
47.307 skill-uri din 2.272 de depozite · actualizat acum 15 ore
47.307 skill-uri
- sharpenbacknotprop/pstackMake a task deeper, not bigger, then rewrite the prompt. Use for /sharpen.ProductivitateFără avertismente★ 3 K↓ —
- principle-explain-the-numbermichael-denyer/pstack-claudeApply before you measure, and before you trust, report, or act on a number you measured: a speedup, a regression, a throughput, a latency, or an eval result. Find what limits it, and rule out that it measured something other than the work you think.AlteleFără avertismente★ 3,6 K↓ —
- create-formal-verification-skillmichael-denyer/pstack-claudeGenerate a project-local skill that formally verifies the code where a bug costs the most and tests reach the least, in any language, with whichever verification tool fits. Use for /create-formal-verification-skill, "model-check this race", "prove this invariant", or when concurrency, retries, state machines, parsers, or unsafe code need more than tests.TestareFără avertismente★ 3,6 K↓ —
- reflectbacknotprop/pstackSpawn three parallel review subagents over the active transcript, surface learnings, and route each to a concrete edit on an existing skill. Use when the user says reflect.RedactareFără avertismente★ 3 K↓ —
- 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.OficialDevOpsFără avertismente★ 78↓ —
- typescript-best-practicesbacknotprop/pstackTypeScript best practices. Use when reading or editing any .ts or .tsx file.InginerieFără avertismente★ 3 K↓ —
- thermo-nuclear-code-quality-reviewmichael-denyer/pstack-claudeRun an extremely strict maintainability review for abstraction quality, giant files, and spaghetti-condition growth. Use for a thermo-nuclear code quality review, thermonuclear review, deep code quality audit, or especially harsh maintainability review.InginerieFără avertismente★ 3,6 K↓ —
- firebase-ai-logic-basicsfirebase/agent-skillsIntegrates Firebase AI Logic (formerly Vertex AI for Firebase) into mobile and web apps (Android, iOS, Web, and Flutter) to call Gemini models from client code. Use when provisioning or initializing Firebase AI Logic, or adding Gemini features to an app: text generation, multimodal input, chat, streaming, structured output, hybrid on-device inference, App Check protection, or switching models with Remote Config.OficialInginerieFără avertismente★ 491↓ —
- gsd:ingest-docsdavepoon/buildwithclaudeScan a repo for mixed ADRs, PRDs, SPECs, and DOCs and bootstrap or merge the full .planning/ setup from them. Classifies each doc in parallel, synthesizes a consolidated context with a conflicts report, and routes to new-project or merge-milestone depending on whether .planning/ already exists.PlanificareFără avertismente★ 3,7 K↓ —
- tao-train-nvpanoptix3dNVIDIA/skillsNVPanoptix3D for panoptic 3D scene reconstruction from posed RGB images. Produces 3D panoptic segmentation (semantic, instance, and panoptic masks) with occupancy completion. Built on a VGGT backbone with a Mask2Former-style head and 3D frustum reconstruction. Use when training, evaluating, exporting, or running inference for a TAO NVPanoptix3D model. Trigger phrases include "train NVPanoptix3D", "panoptic 3D reconstruction", "3D scene segmentation", "occupancy completion".AlteleFără avertismente★ 3,8 K↓ —
- jetson-video-capabilityNVIDIA/skillsUse when Jetson codec, profile, chroma, bit-depth, dimension, engine-count, or operational support must be reconciled from live APIs, authenticated NVIDIA samples, and NVIDIA documentation; also applies the content-DRM scope.MediaFără avertismente★ 3,8 K↓ —
- maintain-formal-verification-skillbacknotprop/pstackBring 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 K↓ —
- tao-launch-workflowNVIDIA/skillsThe mandatory pre-launch gate and four-verb execution contract for every TAO workflow or action. Invoke BEFORE launching anything side-effecting — AutoML, train, evaluate, inference, export, TensorRT engine generation, or DEFT/application workflows — on any execution platform. Covers platform selection, credentials, image confirmation, dataset intake, preflight, the launch review, job records, monitoring, and failure/retry classification. Trigger phrases include "train this model", "run AutoML", "launch on SLURM/docker/k8s/brev/virtualenv", "evaluate my checkpoint", "start a TAO job".ProductivitateFără avertismente★ 3,8 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↓ —
- variant-analysistrailofbits/skillsHunts for the other instances of a bug already found — the variants of one root cause across a codebase. Use immediately after a vulnerability, logic bug, or bad pattern turns up in a specific file and the question becomes where else it occurs, including the bare conversational form ("are there others like this?", "is this the same bug?"). Also for generalizing one known instance into a CodeQL or Semgrep query for its whole pattern family, and for triaging a set of look-alike candidates against a known root cause. Not for initial discovery with no bug in hand.SecuritateFără avertismente★ 7,9 K↓ —
- principle-encode-lessons-in-structurebacknotprop/pstackApply when you catch yourself writing the same instruction a second time, or notice a recurring correction. Encode the rule as a lint, metadata flag, runtime check, or script instead of more text.RedactareFără avertismente★ 3 K↓ —Apare și în 1 alt depozit
- opsdavepoon/buildwithclaudeBusiness operations command center. Routes to the right ops command based on what you need — briefing, inbox, fires, projects, comms, triage, linear, revenue, deploy, or yolo mode.DevOpsFără avertismente★ 3,7 K↓ —
- performance-testingforyourhealth111-pixel/Vibe-SkillsBenchmark indicator performance with BenchmarkDotNet. Use for Series/Buffer/Stream benchmarks, regression detection, and optimization patterns. Target 1.5x Series for StreamHub, 1.2x for BufferList.TestareFără avertismente★ 3,8 K↓ —
- nvshmem-enable-tmaNVIDIA/skillsPrepare or review NVSHMEM CUDA kernels for TMA SMEM registration and direct-SMEM transfers. Do not use for unrelated CUDA tuning.InginerieFără avertismente★ 3,8 K↓ —
- terraform-testhashicorp/agent-skillsComprehensive guide for writing and running Terraform tests. Use when creating test files (.tftest.hcl), writing test scenarios with run blocks, validating infrastructure behavior with assertions, mocking providers and data sources, testing module outputs and resource configurations, or troubleshooting Terraform test syntax and execution.OficialTestareFără avertismente★ 910↓ —
- gsd:list-phase-assumptionsdavepoon/buildwithclaudeSurface Claude's assumptions about a phase approach before planningPlanificareFără avertismente★ 3,7 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↓ —
- clerk-expoclerk/skillsAdd Clerk authentication to Expo and React Native apps using @clerk/expo. Use for Expo setup, prebuilt native components (AuthView, UserButton), custom sign-in/sign-up flows (email, password, SMS/phone OTP, MFA), OAuth/SSO, native Google/Apple sign-in, Expo Router protected routes, biometrics, and push notifications. Do not use for native Swift/iOS, native Android/Kotlin, or web-only framework projects.OficialInginerieFără avertismente★ 89↓ —
- adk-agent-builderjeremylongshore/tons-of-skills-marketplaceScaffold production-ready AI agents on Google's Agent Development Kit (ADK): ReAct-style single agents, multi-agent orchestration (Sequential/Parallel/Loop), tool wiring, evaluation, and optional Vertex AI Agent Engine deployment. Use when building, scaffolding, or deploying ADK agents on Google Cloud, or when wiring ADK tools and orchestration patterns. Trigger with "build an ADK agent", "scaffold an agent on ADK", or "deploy to Agent Engine".DevOpsFără avertismente★ 2,9 K↓ —
upstream-patches
pulumi/agent-skills
OficialDevOpsActualizat 9 oct. 2026
De la autor
Create, amend, remove, and rebase patches for Terraform provider submodules using `./scripts/upstream.sh`. Use when `upgrade-provider` or manual patch work needs owning-patch lookup, patch conflict fixes, patch/hunk removal, or upstream rebase.
Instalare
npx skills add pulumi/agent-skills --skill upstream-patches -a claude-code
Se instalează în .claude/skills/upstream-patches/ · 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
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De ce 90
Securitate100
Proveniență100
Întreținere100
Licență100
Adopție33
Fișiere (3)
- SKILL.md
- agents/openai.yaml
- use_cases.yaml