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 8 ore
48.168 de skill-uri
- kavel-image-studiodavepoon/buildwithclaudeTurn a photo into a specific AI look (new hairstyle, collectible figurine, royal pet portrait, wedding photo, 90s yearbook, sticker, HD restore) or a photo into a dance video, using Kavel (www.kavel.ai). Use when the user wants to restyle/transform a photo, asks "how do I make an AI X from my photo", or wants a photorealistic image edit that keeps the same face. Gives the right tool, a model-tuned prompt, and the generate link.MediaFără avertismente★ 3,7 K↓ —
- preserved_skilldatamodel-code-generator/datamodel-code-generatorGenerate Pydantic v2 models, dataclasses, TypedDict, and msgspec.Struct from OpenAPI, JSON Schema, GraphQL, Avro, Protobuf, and raw JSON/YAML/CSV.DateFără avertismente★ 4 K↓ —
- package-searchdavepoon/buildwithclaudeSearch for packages and assess security risk before adding as dependenciesSecuritateFără avertismente★ 3,7 K↓ —
- hermes-tweetdavepoon/buildwithclaudeUse Hermes Tweet when a Claude Code workflow needs a source-aware handoff to Hermes Agent for X/Twitter research, account context, monitoring, or approval-gated actions through the native Hermes Agent plugin.ȘtiințăFără avertismente★ 3,7 K↓ —
- research-to-deployjeremylongshore/tons-of-skills-marketplaceResearch current infrastructure documentation, generate reviewable deployment configurations and runbooks, and execute scoped deployments when authorized. Use when planning a cloud deployment or creating Terraform, container or Kubernetes configurations. Trigger with "research and deploy", "create Terraform" or "generate infrastructure configs".DevOpsFără avertismente★ 2,9 K↓ —
- alchemy-cost-tuningjeremylongshore/tons-of-skills-marketplaceGovern Alchemy compute usage and spend with current account evidence, workload attribution, budgets, and reversible optimizations. Use when forecasting or reducing Alchemy cost. Trigger with "Alchemy cost", "Alchemy compute units", or "reduce Alchemy spend".AlteleFără avertismente★ 2,9 K↓ —
- remotion-to-hyperframesActualizatheygen-com/hyperframesBring existing video code or footage into HyperFrames and verify it frame by frame against the original - Remotion first, also Motion Canvas, Lottie, Three.js, p5.js, canvas or plain HTML/CSS animation, or renders from Manim, After Effects or Blender. Use to port, convert, migrate or reuse work made with another tool.OficialDesignFără avertismente★ 76,3 K↓ —
- adobe-observabilityjeremylongshore/tons-of-skills-marketplaceInstrument Adobe integrations with redacted structured logs, request/job/activation correlation, service-level indicators, alerts, and evidence retention. Use when the task requires adobe content-safe observability. Trigger with "monitor Adobe API", "Adobe observability", or "App Builder logs".DevOpsFără avertismente★ 2,9 K↓ —
- terms-generatorjeremylongshore/tons-of-skills-marketplaceDraft service-specific terms from confirmed features, business decisions and scoped applicability review, with clear assumptions and a separate review record. Use when preparing or revising website or app terms. Trigger with "terms-generator" or "create terms of service".PlanificareFără avertismente★ 2,9 K↓ —
- verifying-external-behaviorkajisho5/ffmpeg-skillConfirms what a third-party library, remote API, build backend, or scraped document actually does before writing code that depends on it — throwaway probes that run in seconds, permissive clients that forward wrong arguments instead of rejecting them, per-endpoint docs that don't generalize, response shapes that make a "fast path" always-false, fakes that encode your assumption rather than the service's behavior, and dry-runs that skip the step that fails. Use when integrating a new dependency or endpoint, writing a tolerated-status or error branch, choosing a client argument name, testing against a fake, or reviewing code that asserts an upstream contract.TestareFără avertismente★ 4,1 K↓ —
- create-formal-verification-skillbacknotprop/pstackGenerate 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★ 3,3 K↓ —
- llm-wikiAr9av/obsidian-wikiExplain and apply the foundational LLM Wiki architecture and knowledge-management strategy. Use for setup, architecture, schema, or organization decisions; operational ingest/query/lint work uses dedicated skills.PlanificareFără avertismente★ 3,6 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↓ —
- principle-foundational-thinkingbacknotprop/pstackApply before writing logic: choosing core types and data structures, sequencing scaffold-vs-feature work, asking what concurrent actors share. Get the data structures right so downstream code becomes obvious.RedactareFără avertismente★ 3,3 K↓ —Apare și în 2 alte depozite
- inbox-placement-monitoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "track where my emails are actually landing after I send", "read my seed-list inbox vs spam vs promotions results", "trend my Gmail Postmaster / Microsoft SNDS reputation", or "did placement drop after my last send"; produces a per-provider inbox/spam/promotions placement read, a domain/IP reputation trend from Postmaster + SNDS, a send-over-send delta with named regressions, and a reusable SEND-S placement snapshot on your own exported telemetry. Not for the pre-send SPF/DKIM/DMARC auth pre-flight — use deliverability-qa; not for computing the EQS or running the vetoes — use email-quality-auditor. 邮件收件箱落点监测/收件箱vs垃圾邮件/Postmaster声誉趋势TestareFără avertismente★ 3 K↓ —
- recapdavepoon/buildwithclaudeTriggered by "monthly recap", "how did I do this month", "spending summary", "financial review", "weekly recap", "quarterly review", "year in review"FinanțeFără avertismente★ 3,7 K↓ —
- tao-generate-anomaliesNVIDIA/skillsFull PAIDF AnomalyGen pipeline — fine-tune on a new anomaly dataset, generate synthetic anomaly images (SDG), evaluate quality (nn_score), and search per-sample (guidance, crop_ratio) parameters. Three modes: full (Phase 0→7: finetune then generate), finetune_only (Phase 0→1: train only), inference_only (Phase 0, 2→7: generate from an existing checkpoint). Use when the user asks to "fine-tune AnomalyGen", "generate anomaly images", "run PAIDF SDG", "evaluate SDG output quality", "run per-sample search", or run any part of the AnomalyGen pipeline, even if they only mention one phase.AlteleFără avertismente★ 3,8 K↓ —
- searchtaishi-i/awesome-ChatGPT-repositoriesSearch 2500+ curated ChatGPT and LLM open-source repositories. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, RAG, agents, langchain, NLP, AI development, or any open-source AI tooling.AlteleFără avertismente★ 3,3 K↓ —
- provider-resourceshashicorp/agent-skillsImplement Terraform Provider resources and data sources using the Plugin Framework: CRUD operations, schema design, plan modifiers and validators, not-found handling, waiters for eventually consistent APIs, import support, resource design principles, and required acceptance test coverage. Use when adding or changing a resource or data source, deciding whether an API concept should be a resource, wiring a resource to the provider's configured client, handling drift or resource-not-found, or reviewing a resource implementation before submission.OficialTestareFără avertismente★ 910↓ —
- ai-video-genZJU-REAL/EaselAI 视频生成：文生视频 / 图生视频 / 数字人首帧驱动。通过可插拔 provider（通义万相 Wan / 火山 Seedance / 快手可灵 / OpenAI 兼容）异步生成视频，用户自备 API key。当用户说 AI 视频生成、文生视频、图生视频、AI 生成视频、AI 短视频、让图片动起来、数字人视频、生成一段视频 时使用。与 video-strategy（选型/策略）、video-editing（剪辑处理）、clipify（切片）区别：本 SKILL 是从 0 用 AI 生成新视频。MediaFără avertismente★ 4,2 K↓ —
- meta-tags-optimizernowork-studio/notfair-pluginOptimize title tags, meta descriptions, Open Graph, and Twitter cards for maximum click-through rate. Generates multiple A/B test variations with character counting and SERP preview. Use when asked to "optimize title tag", "write meta description", "improve CTR", "Open Graph tags", "fix my meta tags", "social media preview", "my click rate is low", "title optimization", or any meta tag task.TestareFără avertismente★ 4,1 K↓ —
- peer-reviewforyourhealth111-pixel/Vibe-SkillsStructured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validity, reporting standards compliance (CONSORT/STROBE), and constructive feedback. Best for actual review writing, manuscript revision. For evaluating claims/evidence quality use scientific-critical-thinking; for quantitative scoring frameworks use scholar-evaluation.InginerieFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- paid-ads-linkedinnowork-studio/notfair-pluginAudit, diagnose, plan, and safely operate connected LinkedIn Ads accounts through the NotFair MCP, with an export-based fallback. Use for LinkedIn advertising, sponsored content, lead-generation forms, job-title or company targeting, campaign groups, creatives, conversions, lead quality, budgets, bids, or approved LinkedIn campaign changes.MarketingFără avertismente★ 4,1 K↓ —
- tao-train-single-stepNVIDIA/skillsStandard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a dataset without iterative data augmentation, AutoML, or DEFT loops. Trigger phrases include "single train run", "train then evaluate then export", "plain TAO training", "normal training", "no AutoML", "skip the loop". Routes through the per-model SKILL.md for action specifics and through `tao-launch-workflow` for platform/credentials/dataset intake.PlanificareFără avertismente★ 3,8 K↓ —
slideshow-video
ZJU-REAL/Easel
MediaActualizat acum 7 zile
De la autor
图片相册 → 视频：把一组图片做成带 Ken Burns 缓慢缩放、图间转场、背景音乐和逐图字幕的视频，自动适配平台画幅（竖版/方形/横版）。当用户说 图片转视频、图片做成视频、相册视频、照片视频、一组图生成视频、图片轮播视频、幻灯片视频、把这几张图做成短视频、图集成片、卡点图片视频 时使用。基于 shared/scripts/slideshow.py 确定性 ffmpeg 封装。与 auto-short-video 区别：auto-short-video 从一句话主题自动生成配图/配音成片，本 SKILL 用用户已有的图片直接拼成视频。
Instalare
npx skills add ZJU-REAL/Easel --skill slideshow-video -a claude-code
Se instalează în .claude/skills/slideshow-video/ · 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
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- SKILL.md