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 6 ore
48.168 de skill-uri
- cal-com-automationdavepoon/buildwithclaudeAutomate Cal.com tasks via Rube MCP (Composio): manage bookings, check availability, configure webhooks, and handle teams. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- golang-swaggersamber/cc-skills-golangGolang OpenAPI/Swagger documentation with swaggo/swag — annotation comments (@Summary, @Param, @Success, @Router, @Security), swag init code generation, framework integrations (gin, echo, fiber, chi, net/http), security definitions (Bearer/JWT, OAuth2, API key), and struct tags (swaggertype, enums, example, swaggerignore). Apply when adding or maintaining Swagger/OpenAPI docs in a Go project, or when the codebase imports github.com/swaggo/swag, github.com/swaggo/gin-swagger, github.com/swaggo/echo-swagger, github.com/swaggo/http-swagger, or github.com/swaggo/files.SecuritateFără avertismente★ 3,7 K↓ —
- tao-train-rtdetrNVIDIA/skillsRT-DETR (Real-Time DEtection TRansformer) for 2D object detection. Designed for real-time inference with competitive accuracy and supports distillation and quantization for deployment optimization. Use when training, evaluating, distilling, quantizing, exporting, or running inference for a TAO RT-DETR model. Trigger phrases include "train RT-DETR", "real-time DETR", "low-latency object detection", "RT-DETR distillation / quantization".DevOpsFără avertismente★ 3,8 K↓ —
- skill-positioning-analysisZJU-REAL/Easel差异化定位分析：帮账号/品牌找到差异化定位——扫描赛道、给竞品定位坐标、识别空白机会、 从人群/场景/价值/形式/人设多维找差异点，凝练一句话定位并给落地建议。当用户说"差异化定位" "怎么和竞品区分""我的定位是什么""找差异化""赛道分析""定位分析""怎么突出""同质化怎么办" "找我的独特点"时使用。AlteleFără avertismente★ 4,2 K↓ —
- finta-hello-worldjeremylongshore/tons-of-skills-marketplaceSet up your first fundraise pipeline in Finta with investors and deal stages. Use when starting a new fundraise, importing investor lists, or learning Finta's pipeline management features. Trigger with phrases like "finta hello world", "finta first pipeline", "start fundraise in finta", "finta quick start".FinanțeFără avertismente★ 2,9 K↓ —
- figma-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Figma API usage to minimize costs and stay within plan limits. Use when analyzing request volumes, reducing unnecessary API calls, or choosing the right Figma plan for your integration needs. Trigger with phrases like "figma cost", "figma pricing", "reduce figma API calls", "figma plan limits", "figma budget".DesignFără avertismente★ 2,9 K↓ —
- datamodel-code-generatorActualizatdatamodel-code-generator/datamodel-code-generatorUse this skill when the user wants Python data models, Pydantic models, dataclasses, TypedDicts, msgspec structs, or type-safe Python classes generated from OpenAPI, AsyncAPI, JSON Schema, GraphQL, JSON/YAML/CSV sample data, MCP tool schemas, Protocol Buffers, XML Schema, Apache Avro, or existing Python model objects. Use it for requests such as "Pydantic models from this schema", "types for this API", "parse this JSON into classes", or "convert this spec into Python models". Prefer the datamodel-codegen CLI over hand-written model code whenever an input schema, API spec, sample data file, or Python model object exists.InginerieFără avertismente★ 4 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↓ —
- pulumi-escpulumi/agent-skillsGuidance for working with Pulumi ESC (Environments, Secrets, and Configuration). Use when users ask about managing secrets, configuration, environments, short-term credentials, configuring OIDC for AWS, Azure, GCP, integrating with secret stores (AWS Secrets Manager, Azure Key Vault, HashiCorp Vault, 1Password), or using ESC with Pulumi stacks.OficialDevOpsFără avertismente★ 78↓ —
- gmail-automationdavepoon/buildwithclaudeAutomate Gmail tasks via Rube MCP (Composio): send/reply, search, labels, drafts, attachments. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- contract-reviewjeremylongshore/tons-of-skills-marketplaceUse when reviewing a supplied contract for clause meaning, obligations, risks, missing protections, and regulatory questions. Produces an evidence-linked executive report with actual document coverage. Trigger with /contract-review or review this contract.JuridicFără avertismente★ 2,9 K↓ —
- yt-ideationjeremylongshore/tons-of-skills-marketplaceGenerate filmable YouTube video ideas, explain their evidence and priority, and save user selections for briefing. Use when planning content from research or a topic. Trigger with "video ideas", "what should I make next" or "brainstorm videos".MediaFără avertismente★ 2,9 K↓ —
- provider-configurationhashicorp/agent-skillsImplement Terraform provider configuration and authentication with the Plugin Framework: provider schema for credentials (Optional + Sensitive attributes), environment variable fallbacks, credential provider chains (static config, then environment variables, shared credentials file, and platform identity), unknown-value guards in Configure(), secret redaction, configure-time credential validation, and diagnostics that name every source tried. Use when implementing or reviewing a provider's Configure method or provider schema, adding authentication options (API keys, tokens, profiles, credentials files, assume-role), deciding how a provider should resolve credentials, debugging "no valid credential sources" or missing-credentials errors, or unit testing credential resolution.OficialTestareFără avertismente★ 910↓ —
- awesome-chatgpttaishi-i/awesome-ChatGPT-repositoriesSearch this repository's awesome-ChatGPT-repositories list for open-source ChatGPT and LLM projects such as RAG frameworks, agents, chatbots, CLIs, prompts, and browser extensions. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, or AI development; not for editing or adding list entries.BrowserFără avertismente★ 3,3 K↓ —
- jetson-video-pipelineNVIDIA/skillsUse when planning, executing, and independently validating Jetson Video Codec SDK or PyNvVideoCodec encode/decode, transcode, segmentation, container decode, AV1, or concise acceptance workflows.MediaFără avertismente★ 3,8 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★ 3,8 K↓ —
- yt-packagingjeremylongshore/tons-of-skills-marketplaceDevelop title and thumbnail concept pairs from an approved YouTube brief and record the user selection. Use when preparing packaging before outlining. Trigger with "package this video", "title ideas" or "thumbnail concepts".MediaFără avertismente★ 2,9 K↓ —
- navan-sdk-patternsjeremylongshore/tons-of-skills-marketplaceDesign an application-owned Navan adapter pinned to the tenant's actual integration contract. Use when wrapping Booking API, Expense API, SFTP, or direct integration behavior. Trigger with "build a Navan client", "wrap Navan API", or "type Navan responses".DesignFără avertismente★ 2,9 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↓ —
- apify-sdk-patternsjeremylongshore/tons-of-skills-marketplaceProduction-ready patterns for Apify SDK and apify-client in TypeScript. Use when building Actors with Crawlee, managing datasets/KV stores, or implementing robust client wrappers with retry and validation. Trigger with "apify SDK patterns", "apify best practices", "apify client wrapper", "crawlee patterns", "idiomatic apify".BrowserFără avertismente★ 2,9 K↓ —
- technical-analystjeremylongshore/tons-of-skills-marketplaceTechnical analysis translator for Product Managers. Use when the user needs to analyze a system, codebase, API, or technical concept in PM-friendly terms. Trigger with "understand system", "explain code", "technical analysis", "how does X work", or "what does this service do".InginerieFără avertismente★ 2,9 K↓ —
- htmlplannotator/effective-htmlCreate or redesign self-contained single-file HTML artifacts with a visual direction shaped by the user's brief, project, and subject. Use when HTML is the deliverable for a report, explainer, landing page, presentation, tool, mixed artifact, or broad request. This is the collection's only implicit router. Route clear wireframe, prototype, mockup, plan, or diagram requests to the matching direct-invocation specialist when available. Do not use for ordinary application implementation when a standalone HTML file is not the deliverable.DesignFără avertismente★ 3,8 K↓ —
- paid-ads-integrationsnowork-studio/notfair-pluginDiscover, connect, and verify NotFair paid-ad integrations and their actual capabilities. Use when asked to connect an ad account, configure an ads MCP, check available tools, troubleshoot access, or determine whether NotFair can read or change a platform.MarketingFără avertismente★ 4,1 K↓ —
- short-drama-assetszenstory-ai/drama-skills从短剧剧本拆出人物/造型、地点/视图、道具/状态和跨场连续性，写成创作者可读的视觉设定。用户说“拆角色/场景/道具”“做资产设定”“判断复用还是新变体”“更新造型/道具状态”，或拿现成剧本直接做视觉资产准备时使用；不写图片提示词，不生成媒体。AlteleFără avertismente★ 3,6 K↓ —Apare și în 1 alt depozit
tao-train-mask-auto-label
NVIDIA/skills
AlteleActualizat ieri
De la autor
MAL (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".
Instalare
npx skills add NVIDIA/skills --skill tao-train-mask-auto-label -a claude-code
Se instalează în .claude/skills/tao-train-mask-auto-label/ · 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 (14)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- evals/evals.json
- references/skill_info.yaml
- references/spec_template_evaluate.yaml
- references/spec_template_inference.yaml
- references/spec_template_train.yaml
- schemas/evaluate.schema.json
- schemas/inference.schema.json
- schemas/manifest.json
- schemas/train.schema.json
- încă 2