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.
49.492 de skill-uri din 2.391 de depozite · actualizat acum 12 ore
49.492 de skill-uri
- db-seedjezweb/claude-skillsGenerate database seed scripts with realistic sample data. Reads Drizzle schemas or SQL migrations, respects foreign key ordering, produces idempotent TypeScript or SQL seed files. Handles D1 batch limits, unique constraints, and domain-appropriate data. Use when populating dev/demo/test databases. Triggers: 'seed database', 'seed data', 'sample data', 'populate database', 'db seed', 'test data', 'demo data', 'generate fixtures'.TestareFără avertismente★ 1,1 K↓ —
- tddhashgraph-online/awesome-codex-pluginsUse before writing any implementation code — enforces RED-GREEN-REFACTOR cycle.TestareFără avertismente★ 1,5 K↓ —
- planning-with-filesOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanificareFără avertismente★ 27,9 K↓ —Apare și în 1 alt depozit
- migrate-from-openclawnanocoai/nanoclawMigrate from OpenClaw to NanoClaw v2. Detects an existing OpenClaw installation, extracts identity, channel credentials, scheduled tasks, and other config, then guides interactive migration. Triggers on "migrate from openclaw", "openclaw migration", "import from openclaw".ProductivitateFără avertismente★ 31,1 K↓ —
- vibe-knowledge-filmHeyChengC/vibe-knowledge-film抖音「Vibe知识大赏」式的无旁白知识短片：2–5 分钟、16:9、没有人声，观众读底部一行字幕，同时看屏上把这句话演出来。 核心是讲解设计：给每个概念找一个外行认得的形象，画得像它本身（不用点、线、圈代替），句子里说到什么屏上就是什么、动词真的发生； 提问、命名、结论不硬配图。全片由代码逐帧画出（Canvas + seek(t) + Playwright + ffmpeg）。 内含四条参考片的逐句拆解、六种画法、找形象的方法、分镜表格式、两套外观、渲染引擎和合成配乐。 用户说"做一条 vibe 知识大赏的视频""像《信息论·惊奇之学》《运气的形状》《超常刺激》《自指》那样的片子""代码直出的知识短片""没有旁白的字幕科普片""把这个概念直观地讲清楚"， 或者给了一个题目、一份文案要做成这种片子时使用。只做 16:9 横屏。有人声口播的讲解片不用这个。TestareFără avertismente★ 1 K↓ —
- kubernetes-operatoralirezarezvani/claude-skillsUse when building a Kubernetes operator or CRD (controller-runtime, kubebuilder, operator-sdk, KOPF), before writing the controller. Validates CRDs with crd_validator.py, lints reconcile loops with reconcile_lint.py and scores OperatorHub capability level.DevOpsFără avertismente★ 29,3 K↓ —
- train-sentence-transformershuggingface/skillsTrain or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification), `SparseEncoder` (SPLADE, sparse embedding model for learned-sparse retrieval), and `MultiVectorEncoder` (ColBERT / late-interaction, per-token embeddings scored with MaxSim). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.OficialProductivitateFără avertismente★ 11,3 K↓ —
- huggingface-paper-publisherhuggingface/skillsPublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.OficialȘtiințăFără avertismente★ 11,3 K↓ —
- port-featuresNoudzhng/skillsPort a feature from an existing repository by copying its actual code and editing the copy, so its bug fixes and behavioral nuances survive. Use when asked to copy or port an existing feature (especially an exact copy), when moving one into a different framework or host, or when a previous reimplementation missed upstream behavior.RedactareFără avertismente★ 1,4 K↓ —
- onboardinghuytieu/COG-second-brainPersonalize COG for your workflow - creates profile, interests, and watchlist files with guided setup (run this first!)ProductivitateFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
- huggingface-community-evalshuggingface/skillsRun evaluations for Hugging Face Hub models using inspect-ai and lighteval on local hardware. Use for backend selection, local GPU evals, and choosing between vLLM / Transformers / accelerate. Not for HF Jobs orchestration, model-card PRs, .eval_results publication, or community-evals automation.OficialAlteleFără avertismente★ 11,3 K↓ —
- huggingface-vision-trainerhuggingface/skillsTrains and fine-tunes vision models for object detection (D-FINE, RT-DETR v2, DETR, YOLOS), image classification (timm models — MobileNetV3, MobileViT, ResNet, ViT/DINOv3 — plus any Transformers classifier), and SAM/SAM2 segmentation using Hugging Face Transformers on Hugging Face Jobs cloud GPUs. Covers COCO-format dataset preparation, Albumentations augmentation, mAP/mAR evaluation, accuracy metrics, SAM segmentation with bbox/point prompts, DiceCE loss, hardware selection, cost estimation, Trackio monitoring, and Hub persistence. Use when users mention training object detection, image classification, SAM, SAM2, segmentation, image matting, DETR, D-FINE, RT-DETR, ViT, timm, MobileNet, ResNet, bounding box models, or fine-tuning vision models on Hugging Face Jobs.OficialMediaFără avertismente★ 11,3 K↓ —
- notebooklmalirezarezvani/claude-skillsUse for anything in Google NotebookLM: querying notebooks, adding sources, generating Audio or Video Overviews, reports, flashcards or slides. Drives the browser; needs browser automation.DocumenteFără avertismente★ 29,3 K↓ —
- hf-cloud-python-env-setuphuggingface/skillsSet up an isolated Python environment for SageMaker / AWS work, with the right Python version and current boto3. Use this skill whenever Python code will be executed for a SageMaker deployment, training job, or any AWS automation — including when about to run `pip install`, when about to invoke `boto3`, when creating or activating a virtualenv, or when the user asks to "set up the environment". Never use system Python and never `pip install` into it. Always isolate. This skill prevents the most common failure modes: wrong Python version, dependency conflicts, and stale SDKs.OficialInginerieFără avertismente★ 11,3 K↓ —
- daily-briefhuytieu/COG-second-brainGenerate personalized news intelligence with verified sources (7-day freshness requirement)PlanificareFără avertismente★ 1,3 K↓ —Apare și în 1 alt depozit
- build-flowmicrosoft/power-platform-skillsAutonomously build a complete Power Automate flow from a description. Use when you need to generate a full flow definition and create it. Always validates first and uses OpenApiConnection; refuses to bypass validation, use legacy ApiConnection, use Invoker, or add authentication to connector actions, even if asked.AlteleFără avertismente★ 1,1 K↓ —
- helphashgraph-online/awesome-codex-pluginsShow KERNEL help. The unified skill system, state operations, agents, current plugin status. Triggers: help, how, what, skills, commands.AlteleFără avertismente★ 1,5 K↓ —
- scouthuytieu/COG-second-brainEvaluate URLs and tools — check vault coverage, assess relevance, recommend save or skipAlteleFără avertismente★ 1,3 K↓ —
- iros-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing IROS experiments — real-robot trial counts, success criteria set in advance, reset procedures, failure taxonomies, baseline fairness on matched hardware, sim-to-real gap reporting, small-n statistics, and the claim-to-evidence ladder that embodied-systems reviewers apply before they trust a demo.AlteleFără avertismente★ 1,4 K↓ —
- api-design-revieweralirezarezvani/claude-skillsUse for any PR or spec that adds or changes REST endpoints, before approving it. Lints conventions with api_linter.py, detects breaking changes with breaking_change_detector.py and scores the design with api_scorecard.py.DesignFără avertismente★ 29,3 K↓ —
- agent-run-forensicsNoualirezarezvani/claude-skillsUse when asked why an agent did something, what a past session or run changed, whether tests really passed, or to verify a session summary. Answers from the recorded transcript, not memory, with trace_finder.py, trace_timeline.py and claim_checker.py.SecuritateFără avertismente★ 29,3 K↓ —
- compare-optionsnano-muse/nanoMuseCompare two to five options (products, plans, places, tools, offers) on the criteria that matter to the user, in a table the user can re-weight, with a recommendation. Use when the user asks which to pick, for a comparison, or "X vs Y".PlanificareFără avertismente★ 3,2 K↓ —
- harvesthuytieu/COG-second-brainCapture durable session learnings, stage for human promotion to 05-knowledge/lizard, and propose skill/CLAUDE.md patches. Triggered by /harvest, SessionEnd hook staging, or nightly enhance. Never writes durable knowledge without your approval.RedactareFără avertismente★ 1,3 K↓ —
- braindumphuytieu/COG-second-brainQuick capture of raw thoughts with intelligent domain classification and competitive intelligence extractionAlteleFără avertismente★ 1,3 K↓ —
email-lifecycle-flow-writer
gooseworks-ai/goose-skills
RedactareActualizat 27 oct. 2026
De la autor
Step of the email-lifecycle playbook: writes one lifecycle flow as a build sheet for the brand's email tool, every message finished in the brand voice. Run email-lifecycle instead; not for direct use.
Instalare
npx skills add gooseworks-ai/goose-skills --skill email-lifecycle-flow-writer -a claude-code
Se instalează în .claude/skills/email-lifecycle-flow-writer/ · 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 88
Securitate100
Proveniență77
Întreținere100
Licență100
Adopție50
Fișiere (2)
- SKILL.md
- skill.meta.json