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 15 ore
48.168 de skill-uri
- tao-train-nvdinov2NVIDIA/skillsNVDINOv2 for self-supervised visual representation learning. Trains vision transformers via self-distillation (teacher-student) without labels and produces general-purpose visual features. Use when training, exporting, or running inference for a TAO NVDINOv2 backbone. Trigger phrases include "train NVDINOv2", "self-supervised ViT pretraining", "DINOv2 backbone", "visual representation learning".AlteleFără avertismente★ 3,8 K↓ —
- exploits-searchdavepoon/buildwithclaudeSearch for exploits across all vulnerabilities with filtering by ecosystem, severity, source, and EPSSSecuritateFără avertismente★ 3,7 K↓ —
- nemo-fabric-integrateNVIDIA/skillsUse this skill when integrating NVIDIA NeMo Fabric into a consumer application, service, evaluation harness, or platform through the typed Python SDK — translating the consumer's own application, job, or deployment config into an in-memory FabricConfig, choosing the single-invocation convenience API or an explicitly started runtime, validating with plan and doctor, and consuming normalized results, artifacts, and telemetry.DevOpsFără avertismente★ 3,8 K↓ —
- doca-telemetry-exporterNVIDIA/skillsUse this skill when the user is doing hands-on DOCA Telemetry Exporter programming on a host where DOCA is installed — defining a doca_telemetry_exporter_schema and event types, creating sources, picking a publish surface (typed events / opaque events / the metrics counter-gauge-histogram API / OTLP logs / NetFlow), walking the schema-then-source lifecycle, or debugging DOCA_ERROR_* failures from the exporter API. Trigger even when the user does not explicitly mention "DOCA Telemetry Exporter" or "doca_telemetry_exporter_*" — typical implicit phrasings include "publishing counters from my DOCA app", "BAD_STATE when I report an event", "consumer/DTS sees nothing but my report succeeded", "how do I export NetFlow/IPFIX records", or "should I link the exporter or the telemetry service". Refuse and route elsewhere for the receiving DOCA Telemetry Service (DTS), plain stdout logging via doca_log, or real-time event subscription back into the app via doca-comch — those belong to other skills.InginerieFără avertismente★ 3,8 K↓ —
- yfinance-datahimself65/finance-skillsFetch financial and market data with the yfinance Python library (Yahoo Finance). Use this skill whenever the user wants stock data: current quotes and price history, financial statements (income statement, balance sheet, cash flow), options chains, dividends and splits, earnings and analyst estimates, price targets and ratings, institutional and insider holdings, news, multi-ticker comparisons, stock screens, or sector and industry data. Use it even when the user gives only a ticker symbol (AAPL, MSFT, TSLA) and the intent has to be inferred. For earnings previews or recaps, estimate revisions, valuation, correlation, liquidity, or ETF premium analysis, prefer the dedicated skill.FinanțeFără avertismente★ 3,5 K↓ —
- skill-profile-builderZJU-REAL/Easel首次使用引导：从社媒链接分析、从零生成账号画像 Profile。收集社媒链接+运营意图，分析已发内容与收藏喜好，生成 6 维 Profile。当用户说 创建画像/第一次用/帮我建个人设/分析我的账号建画像/从链接生成画像 时使用。与 skill-profile-manager 的区别：本 SKILL 专做首次从零分析生成；已有画像的编辑/记忆更新/导出/对比/切换找 profile-manager。AlteleFără avertismente★ 4,2 K↓ —
- foundationpose-pipelineNVIDIA/skillsAdapt BOP datasets, run the FoundationPose perception pipeline with TAO depth, and evaluate or re-score pose results. Use for dataset runs and result comparisons; environment installation belongs to foundationpose-setup.AlteleFără avertismente★ 3,8 K↓ —
- golang-performancesamber/cc-skills-golangGolang performance optimization patterns and methodology - if X bottleneck, then apply Y. Covers allocation reduction, CPU efficiency, memory layout, GC tuning, pooling, caching, and hot-path optimization. Use when profiling or benchmarks have identified a bottleneck and you need the right optimization pattern to fix it. Also use when performing performance code review to suggest improvements or benchmarks that could help identify quick performance gains. Not for measurement methodology (→ See `samber/cc-skills-golang@golang-benchmark` skill) or debugging workflow (→ See `samber/cc-skills-golang@golang-troubleshooting` skill).InginerieFără avertismente★ 3,7 K↓ —
- provider-test-patternshashicorp/agent-skillsTerraform provider acceptance test patterns using terraform-plugin-testing with the Plugin Framework. Covers test structure, TestCase/TestStep fields, ConfigStateChecks with custom statecheck.StateCheck implementations, plan checks, CompareValue for cross-step assertions, config helpers, import testing with ImportStateKind, sweepers, and scenario patterns (basic, update, disappears, validation, regression), and ephemeral resource testing with the echoprovider package. Use when writing, reviewing, or debugging provider acceptance tests, including questions about statecheck, plancheck, TestCheckFunc, CheckDestroy, ExpectError, import state verification, ephemeral resources, or how to structure test files.OficialTestareFără avertismente★ 910↓ —
- baoyu-wechat-summaryJimLiu/baoyu-skillsSummarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl), per-user profiles, and per-group fact memory (memory.md) across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar.ProductivitateFără avertismente★ 27,1 K↓ —
- kiro-spec-designgotalab/cc-sddCreate comprehensive technical design for a specificationDesignFără avertismente★ 3,7 K↓ —Apare și în 4 alte depozite
- adobe-install-authjeremylongshore/tons-of-skills-marketplaceSelect and prove the correct Adobe authentication model, entitlement, product profile, and secret lifecycle before integration work. Use when creating or repairing Adobe credentials. Trigger with "set up Adobe auth", "Adobe OAuth server-to-server", or "Adobe user authentication".AlteleFără avertismente★ 2,9 K↓ —
- apify-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Apify platform costs through memory tuning, compute unit management, and proxy budgeting. Use when analyzing Apify billing, reducing Actor run costs, or implementing usage monitoring and budget alerts. Trigger with "apify cost", "apify billing", "reduce apify costs", "apify pricing", "apify expensive", "apify budget", "compute units".ProductivitateFără avertismente★ 2,9 K↓ —
- skill-collab-proposalZJU-REAL/Easel品牌合作方案与联名策划。当用户提到"品牌合作"、"商单方案"、"合作报价"、"联名"、"联动方案"、 "博主合作"、"品牌植入"、"商务合作"、"合作提案"时触发。支持两种模式：商单方案（品牌找上门， 基于 KOL 定价表生成报价、内容形式、排期、KPI 预估）和联名策划（与博主/品牌联动，生成双方 优势互补、内容分工、互推策略）。AlteleFără avertismente★ 4,2 K↓ —
- ops-orchestratedavepoon/buildwithclaudeAutonomous multi-project orchestration engine. Audits all registered projects, structures work into dependency-wired tasks, dispatches parallel agents (subagents or Agent Teams), audits completions, and ships PRs. Registry-driven — works for any user with a configured project registry.ProductivitateFără avertismente★ 3,7 K↓ —
- golang-samber-hotsamber/cc-skills-golangIn-memory caching in Golang using samber/hot — eviction algorithms (LRU, LFU, TinyLFU, W-TinyLFU, S3FIFO, ARC, TwoQueue, SIEVE, FIFO), TTL, cache loaders, sharding, stale-while-revalidate, missing key caching, and Prometheus metrics. Apply when using or adopting samber/hot, when the codebase imports github.com/samber/hot, or when the project repeatedly loads the same medium-to-low cardinality resources at high frequency and needs to reduce latency or backend pressure.ProductivitateFără avertismente★ 3,7 K↓ —
- design-artifactplannotator/effective-htmlDesign principles and creative direction for building HTML artifacts — pages, reports, plans, landing pages, demos, decks, and small tools. Use when creating or restyling any visual HTML deliverable and deciding its palette, type pairing, layout, theming, or overall register, or when the output must not look generically AI-generated.DesignFără 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↓ —
- pyhealthforyourhealth111-pixel/Vibe-SkillsComprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).TestareFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- submission-checklistforyourhealth111-pixel/Vibe-SkillsStage-based submission checklists for papers/reports: pre-submission, submission, revision/rebuttal, camera-ready. Includes templates (cover letter, rebuttal matrix) and quality gates.AlteleFără avertismente★ 3,8 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↓ —
- terraform-stackshashicorp/agent-skillsComprehensive guide for working with HashiCorp Terraform Stacks. Use when creating, modifying, or validating Terraform Stack configurations (.tfcomponent.hcl, .tfdeploy.hcl files), working with stack components and deployments from local modules, public registry, or private registry sources, managing multi-region or multi-environment infrastructure, or troubleshooting Terraform Stacks syntax and structure.OficialDevOpsFără avertismente★ 910↓ —
- wiki-history-ingestAr9av/obsidian-wikiRoute generic agent-history ingestion requests to the appropriate specialized history-ingest skill. Use when the user asks to ingest AI-agent history without directly selecting the underlying agent-specific skill.PlanificareFără avertismente★ 3,6 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★ 4,1 K↓ —
hex-ci-integration
jeremylongshore/tons-of-skills-marketplace
TestareActualizat ieri
De la autor
Configure Hex CI/CD integration with GitHub Actions and testing. Use when setting up automated testing, configuring CI pipelines, or integrating Hex tests into your build process. Trigger with phrases like "hex CI", "hex GitHub Actions", "hex automated tests", "CI hex".
Instalare
npx skills add jeremylongshore/tons-of-skills-marketplace --skill hex-ci-integration -a claude-code
Se instalează în .claude/skills/hex-ci-integration/ · 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: MIT
Verificări de siguranță pe SKILL.md
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De ce 90
Securitate100
Proveniență82
Întreținere100
Licență100
Adopție55
Fișiere (1)
- SKILL.md