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.
49.409 skill-uri din 2.375 de depozite · actualizat acum 10 minute
49.409 skill-uri
- stage-launchalirezarezvani/claude-skillsUse when a managed-agent build sheet is ready to launch ('launch it', 'deploy the agent'). Generates and validates API payloads with payload_generator.py and payload_validator.py and writes a resumable curl script with launch_script_writer.py that uses the user's own key.DevOpsFără avertismente★ 29,2 K↓ —
- stock-analysisActualizatalirezarezvani/claude-skillsAnalyze, research or value a listed stock or company (US, global, NSE or BSE) with verified data, ratios, scores and valuation. Use whenever asked if a stock is a buy, what it is worth, or how a company looks.FinanțeFără avertismente★ 29,2 K↓ —
- research-audience-fit-definitiongooseworks-ai/goose-skillsStep of the research-audience playbook: drafts the searchable fit definition, exclusions and list size that the list run then searches on. Run research-audience instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- second-brain-writeundefined-ui/second-brain-osDraft from the vault: outline from concept pages, keep citations to the user's own sources, and surface where their material disagrees. Use this skill when the user wants to write an article, post, essay or newsletter based on what they have collected, or asks what they could write about a topic. Do NOT use for research reports, for writing with no grounding in the vault, or for editing text the user wrote themselves unless asked.RedactareFără avertismente★ 1,2 K↓ —
- analyze-performance-revenue-joingooseworks-ai/goose-skillsStep of the analyze-performance playbook: joins cleaned store or CRM numbers with ad spend to build the business-truth table, MER, new-customer cost and the overclaim ratio. Run analyze-performance instead; not for direct use.MarketingFără avertismente★ 1,3 K↓ —
- oma-translatorfirst-fluke/oh-my-agentContext-aware translation that preserves tone, style, and natural word order. Use when translating UI strings, documentation, marketing copy, or any multilingual content. Infers register, domain, and style from the source text and surrounding codebase context.DesignFără avertismente★ 1,4 K↓ —
- sports-scoresmohitagw15856/pm-claude-skillsGet live scores, schedules, and standings for major leagues with zero API keys — ESPN's public JSON endpoints via curl, covering NFL, NBA, MLB, NHL, and world football. Use when asked what's the score, did my team win, today's games, or league standings right now. Produces the scores with game state (live/final/scheduled), the asked-team answer first, and the rerunnable command — with the unofficial-API caveat stated.InginerieFără avertismente★ 1,5 K↓ —
- planning-with-filesActualizatOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; agent instructions read selected project planning context when invoked. 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. This adapter registers no lifecycle or Stop hook, never requests continuation, 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↓ —
- the-understudymohitagw15856/pm-claude-skillsStudy 3-5 samples of the user's real writing and decisions, build an explicit 'how you think' profile, then draft new work as their understudy — always with a 'what I couldn't infer about you' list so the gaps are visible instead of guessed. Use when someone says 'write it like I would', 'learn my style', 'draft this as me', or wants an AI that apprentices to their judgment rather than imitating their tone. Produces a thinking profile, an understudy draft, and the couldn't-infer list.RedactareFără avertismente★ 1,5 K↓ —
- oma-scmNoufirst-fluke/oh-my-agentManage Git branches, merges, conflicts, commits, and release baselines. Use for repository history and change-management operations.InginerieFără avertismente★ 1,4 K↓ —
- second-brain-ingestundefined-ui/second-brain-osTurn raw source material in a second-brain vault into linked wiki pages: read the source, split it into concepts and entities, write or update pages, connect them to existing pages, and record the run in the log. Use this skill whenever the user drops a file into raw/, pastes an article, transcript or PDF and asks to add it to the vault, says "ingest this", "add this to my second brain", "process raw", or asks to catch up on unprocessed sources, even if they do not name the ingest command. Do NOT use for answering questions from an existing vault, for linting or repairing pages, or for editing notes the user wrote by hand.DocumenteFără avertismente★ 1,2 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↓ —
- 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↓ —
- 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↓ —
- my-energy-mapmohitagw15856/pm-claude-skillsMap your real energy through the day and week, then match your tasks to it — hard things when you're sharp, easy things when you're not. Use when asked when should I do my hard work, map my energy, why am I so unproductive at certain times, or schedule around my focus. Produces a picture of your energy peaks, troughs, and patterns from your own observations, a task-to-energy matching plan (deep work at peaks, admin at troughs), the traps you're currently falling into, and a realistic daily shape — because fighting your natural rhythm wastes your best hours on your worst tasks.PlanificareFără avertismente★ 1,5 K↓ —
- update-pr-summaryfcakyon/claude-codex-settingsThis skill should be used when user asks to "update PR summary", "update PR description", "rewrite PR body", "refresh PR title and body", or explicitly invokes "update-pr-summary".ProductivitateFără avertismente★ 1,2 K↓ —
- laravel-tddhashgraph-online/awesome-codex-pluginsTest-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.TestareFără avertismente★ 1,5 K↓ —
- perfhashgraph-online/awesome-codex-pluginsPerformance optimizer for loops, DB queries, rendering, and batch operations. Catches N+1 queries, missing indexes, and unnecessary re-renders.MediaFără avertismente★ 1,5 K↓ —
- orchestratehashgraph-online/awesome-codex-pluginsCoordinate several workers: what idle agents do next, which finished work gets checked first, how to recover a dead one. Use when: managing multiple agents.AlteleFără avertismente★ 1,5 K↓ —Apare și în 2 alte depozite
- research-competitors-edge-casesgooseworks-ai/goose-skillsStep of the research-competitors playbook: rules for run edge cases such as no browser, stalled workers, earlier reports and late reads. Run research-competitors instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- oma-brainstormfirst-fluke/oh-my-agentExplore goals, constraints, and alternative approaches before choosing a design. Use when the user requests ideation or design exploration.PlanificareFără avertismente★ 1,4 K↓ —Apare și în 1 alt depozit
- email-lifecycle-lifecycle-auditgooseworks-ai/goose-skillsStep of the email-lifecycle playbook: audits list, consent, live flows, recent sends and sending setup, marking every item verified, from-you or unknown. Run email-lifecycle instead; not for direct use.ProductivitateFără avertismente★ 1,3 K↓ —
gws-setup
jezweb/claude-skills
DevOpsActualizat 9 oct. 2026
De la autor
Set up the Google Workspace CLI (gws) from scratch. Guides through GCP project creation, OAuth credentials, authentication, and installing 90+ agent skills for Claude Code. Use whenever the user wants to set up gws for the first time, configure Google Workspace API access, install the Google Workspace CLI, or troubleshoot gws auth issues.
Instalare
npx skills add jezweb/claude-skills --skill gws-setup -a claude-code
Se instalează în .claude/skills/gws-setup/ · 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 instrucțiuniFolosește rețeauaLicență: MIT
Verificări de siguranță pe SKILL.md
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De ce 88
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Proveniență76
Întreținere100
Licență100
Adopție49
Fișiere (1)
- SKILL.md