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 1 oră
49.409 skill-uri
- hiring-rubricmohitagw15856/pm-claude-skillsGenerate a structured interview scorecard and interview guide for any role. Use when asked to create a hiring rubric, interview scorecard, structured interview guide, or assessment criteria for a job. Produces a scorecard with competencies, behavioural questions, and scoring guidance.PlanificareFără avertismente★ 1,5 K↓ —
- cloudbase-declarative-deployActualizatTencentCloudBase/CloudBase-AI-ToolkitCloudBase declarative deployment from a cloudbaserc config (声明式部署, 配置式部署, cloudbaserc 部署) through the deployBuild / deployPlan / deployApply MCP tools. Use when deploying database, functions, app, hosting, or gateway resources described in cloudbaserc.json/yaml as a single desired-state config, when a user wants to build static hosting artifacts locally first (deployBuild), or wants a dry-run plan before applying (deployPlan), or when handling multi-environment deploys via mode / envOverrides. Covers build-plan-apply flow (deployBuild local build → deployPlan dry-run → deployApply confirm=true), hosting build-output neutralization, envId resolution priority, only/skip filtering, concurrency, and continueOnError. Prefer deployBuild (when hosting declares a buildCommand) and deployPlan before deployApply; do not confuse with per-resource tcb CLI deploy or single-function deploy.DevOpsFără avertismente★ 1,2 K↓ —Apare și în 5 alte depozite
- impact-reportmohitagw15856/pm-claude-skillsWrite a compelling nonprofit impact or annual report that shows donors what their money achieved. Use when asked to write an impact report, an annual report, a grant outcomes report, or to report results to funders/donors. Produces a structured report — mission and year in brief, outcomes with real numbers and a beneficiary story, financials at a glance, and a forward ask — that builds trust and renews giving.FinanțeFără avertismente★ 1,5 K↓ —
- scrapecreators-apigooseworks-ai/goose-skillsProvider reference for collecting public profiles, posts, comments, transcripts, trends, and ad-library data from major social platforms through ScrapeCreators. Use as a dependency of research workflows, not as the final user-facing deliverable.BrowserFără avertismente★ 1,3 K↓ —
- jp-tax-returnmohitagw15856/pm-claude-skillsUse when asked 確定申告のやり方, do I need to file a tax return in Japan, how do I claim medical expense deduction, ふるさと納税の確定申告, 副業の確定申告, how to file with e-Tax, or 日本报税怎么弄. Produces whether the person must or should file, the income and deductions to declare, a step-by-step filing plan with e-Tax or on paper, the documents to gather, and the deadlines and payment options to confirm with the National Tax Agency.FinanțeFără avertismente★ 1,5 K↓ —
- model-cardmohitagw15856/pm-claude-skillsDocument a deployed ML/AI model so others can use it responsibly. Use when asked to write a model card, document a model's intended use and limitations, or prepare an AI model for review/launch. Produces a complete model card — intended use, training data, evaluation metrics across slices, limitations, ethical considerations, and a deployment checklist.DevOpsFără avertismente★ 1,5 K↓ —
- make-static-ads-graphic-requestgooseworks-ai/goose-skillsMakes one simple non-ad brand graphic, such as an email header, social feed or story image, or a blog or link-preview image, in the brand's style with at most a short line of text, after claim and rights checks and a yes to the quote; returns the link and alt text. Not for carousels, decks or print. Use alone when you already have the purpose, placement and exact wording; otherwise run make-static-ads.MarketingFără avertismente★ 1,3 K↓ —
- research-marketgooseworks-ai/goose-skillsMarket research and brand watch: which market the brand is in, how big the reachable part is, what's changing, how buyers buy and what they pay, what people are saying now, and what it means for positioning. Use when the marketer asks for market research, "how big is my market", "what's changing in my category", "what do others charge", "what are people saying about us", "is there demand for <idea>", or "watch my brand / tell me if something blows up" (alerts only, risk first). Also writes positioning choices and finished messages ("position my product", "write our positioning"). Researches first, asks only decisions at the end, and saves the output to the brand. Not for who the buyers are and their own words — use research-audience; not for a deep look at rivals — use research-competitors.ȘtiințăFără avertismente★ 1,3 K↓ —
- improve-search-visibility-fix-writergooseworks-ai/goose-skillsStep of the improve-search-visibility playbook: turns one ranked fix into paste-ready site copy or code with owner, risk and undo, and writes page briefs. Run improve-search-visibility instead; not for direct use.RedactareFără avertismente★ 1,3 K↓ —
- canvas-appmicrosoft/power-platform-skillsCreates or edits a Power Apps Canvas App through the Canvas Authoring MCP coauthoring session. Handles staged experience design, direct and partitioned targeted edits, planned multi-screen changes, responsive layout, and compile-error convergence. Trigger on requests to create, build, generate, modify, update, change, fix, or edit a Canvas App or .pa.yaml files.DesignFără avertismente★ 1,1 K↓ —
- lease-decodermohitagw15856/pm-claude-skillsDecode a residential lease into plain English and rank the clauses that can hurt you. Use when someone asks 'what am I signing', 'decode my lease', 'is this rental agreement normal', or 'can my landlord really do this'. Produces a clause-by-clause decode table, ranked red flags, break-clause and deposit math, questions to ask before signing, and what's actually negotiable.AlteleFără avertismente★ 1,5 K↓ —
- sci-citationbrycewang-stanford/Awesome-Journal-SkillsUse when converting a reference list to Science (AAAS) numbered style — italic numbers cited in order of appearance, a single continuous list that the Supplementary Materials share, full author lists rather than "et al." in the bibliography, and abbreviated journal titles. Late-stage style pass for the flagship AAAS weekly.ȘtiințăFără avertismente★ 1,4 K↓ —
- wiki-summarymohitagw15856/pm-claude-skillsFetch Wikipedia's current summary of any topic with zero API keys — the REST summary endpoint via curl, for answers that need today's article rather than training-data memory. Use when asked what does Wikipedia say about X, get me the current summary of a topic, check a fact against Wikipedia, or has this article changed. Produces the live extract with the article link, disambiguation handling, and a clean separation between what Wikipedia says and what the model adds.ProductivitateFără 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; 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↓ —
- threat-modelmohitagw15856/pm-claude-skillsThreat-model a system or feature to find where it could be attacked, before you build it. Use when asked to threat-model, do a security design review, document security risks, identify attack surface, or apply STRIDE to a design. Produces a structured threat model: assets, trust boundaries and data flows, threats enumerated by category (STRIDE), risk scores, prioritized mitigations, and residual-risk sign-off. Defensive security for systems you own or are authorized to assess.SecuritateFără avertismente★ 1,5 K↓ —
- prpm-json-best-practicesAgentWorkforce/relayBest practices for structuring prpm.json package manifests with required fields, tags, organization, multi-package management, enhanced file format, eager/lazy activation, and conversion hintsMarketingFără avertismente★ 1,1 K↓ —
- tdd-workflowmohitagw15856/pm-claude-skillsDrive a feature with a disciplined test-driven development loop — red, green, refactor. Use when implementing a feature or fixing a bug and you want tests to lead, or when asked to 'do this with TDD' / write the test first. Produces a step-by-step red-green-refactor plan: the failing test to write first, the minimal code to pass it, and the refactor — one small cycle at a time.TestareFără avertismente★ 1,5 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↓ —
- email-lifecyclegooseworks-ai/goose-skillsLifecycle email, SMS and push: audits the list and deliverability, then writes the flows this kind of business needs first, loadable as-is in your own tool, plus segments, cadence and this week's broadcasts. Never sends anything. Use when: set up my welcome and abandoned-cart emails; trial onboarding or waitlist launch emails; win back lapsed customers; plan this week's emails and texts; push notifications for my app; why are my emails going to spam; plan our Black Friday email and SMS sends; a send went wrong. Not for cold outreach to prospects — use write-outreach; not the editorial newsletter issue — use make-content; not the whole cross-channel Black Friday plan — use plan-campaign.ProductivitateFără avertismente★ 1,3 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↓ —
- quality-manager-qmralirezarezvani/claude-skillsUse for QMR duties under ISO 13485 5.5.2: management review, quality policy and objectives, quality KPIs and cost of quality. Tracks reviews with management_review_tracker.py and monitors effectiveness with quality_effectiveness_monitor.py.InginerieFără avertismente★ 29,2 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↓ —
- hardware-prdmohitagw15856/pm-claude-skillsWrite a PRD for a physical hardware product — target cost (BOM and landed), industrial design constraints, regulatory certifications, reliability targets, serviceability, packaging, and forecast assumptions. Use when asked to write a hardware PRD, spec a new device, define requirements for a physical product, or kick off an NPI program. Produces a complete hardware PRD with a cost stack, cert matrix, reliability spec, and EVT/DVT/PVT milestone targets.PlanificareFără avertismente★ 1,5 K↓ —
dac-experiments
brycewang-stanford/Awesome-Journal-Skills
DesignActualizat 27 sept. 2026
De la autor
Use when designing or auditing the empirical evaluation of an ACM/IEEE Design Automation Conference (DAC) Research Manuscript, covering standard EDA benchmark suites (ISPD, EPFL, ISCAS/ITC, TAU, CircuitNet, OpenROAD flows), fair state-of-the-art baselines, QoR/PPA reporting with runtime, per-benchmark honesty, ablations that isolate the mechanism, and contamination-aware ML-for-EDA evaluation.
Instalare
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill dac-experiments -a claude-code
Se instalează în .claude/skills/dac-experiments/ · 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
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De ce 88
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Proveniență77
Întreținere100
Licență100
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- SKILL.md