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 2 ore
49.409 skill-uri
- tdd-guideActualizatalirezarezvani/claude-skillsTest-first development and test generation for Jest, Pytest, JUnit, Vitest or Mocha: red-green-refactor, fixtures and mocks, coverage gaps. Use whenever the user asks to write tests (before or after the code), mock a dependency or raise coverage.TestareFără avertismente★ 29,2 K↓ —
- jama-statisticsbrycewang-stanford/Awesome-Journal-SkillsUse when preparing or auditing the statistical analysis and reporting of a JAMA manuscript so it survives JAMA's dedicated statistical review. Enforces effect sizes with 95% CIs, multiplicity control, and pre-specification; it does NOT choose the study design or write prose.DesignFără avertismente★ 1,4 K↓ —
- nejm-statisticsbrycewang-stanford/Awesome-Journal-SkillsUse to enforce NEJM's clinical statistical reporting — confidence intervals over bare P values, the pre-specified intention-to-treat primary analysis, multiplicity control for secondary endpoints, pre-specified subgroups with interaction tests, missing-data handling, and absolute risk with NNT alongside relative measures.TestareFără avertismente★ 1,4 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↓ —
- popl-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a POPL campaign calendar — backward-scheduling theory and mechanization from the July deadline, riding the October notification into the conditional-acceptance revision and artifact evaluation, landing the January conference, and retargeting across the SIGPLAN/PACMPL deadline wheel if July slips.ProductivitateFără avertismente★ 1,4 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↓ —
- pnas-submissionbrycewang-stanford/Awesome-Journal-SkillsUse as the final preflight before submitting to PNAS — a complete checklist across significance, track, Significance Statement, abstract, classification + keywords, figures, statistics, data, references, and required files. Bundles a checklist and a PNAS cover-letter template. Emits GO/NO-GO.AlteleFără avertismente★ 1,4 K↓ —
- hsb-testNVIDIA/skillsExecute QA test plans on Holoscan Sensor Bridge hardware. Reads a user-provided test document, filters tests by the user's setup, determines which tests can run automatically, executes them with pass/fail evaluation, and produces a structured test results report.TestareFără avertismente★ 3,8 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↓ —
- 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↓ —
- nsdi-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when running the final pre-upload audit of an NSDI submission — the abstract-then-paper week on the per-deadline HotCRP site, 11:59 pm US Eastern cutoffs, the 12-page cap with references and appendices outside it, track-dependent anonymization, the eight-paper author cap, and the resubmission-ban check.ȘtiințăFără avertismente★ 1,4 K↓ —
- marketing-pagesdzhng/skillsBest-practice rulebook for a marketing site's pages, organized by page class — campaign landers, product pages, programmatic SEO trees, editorial. Use when writing or updating a landing/marketing page, wiring a campaign lander to an attribution identifier, changing site-wide nav/footer links, touching sitemap/robots/agent-readable surfaces, or auditing a public site's indexing, reachability, and conversion setup.MarketingFără avertismente★ 1,4 K↓ —
- 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↓ —
- 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↓ —
- implement-specdzhng/skillsImplement an existing spec through committed passes. Use for long or multi-pass specs that need maintenance checkpoints to periodically clean code, handoffs, priorities, and plan bloat before drift accumulates.PlanificareFără avertismente★ 1,4 K↓ —
- soda-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when preparing or auditing a SODA (ACM-SIAM Symposium on Discrete Algorithms) submission — the no-page-limit full-version norm, the title-page abstract, 11-point single-column letter format, lightweight double-blind rules, HotCRP entry, and the July AoE deadline with its summary-rejection triggers.ProductivitateFără avertismente★ 1,4 K↓ —
- tacas-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning a TACAS (ETAPS) project timeline from category choice and venue fit through the EasyChair paper deadline, the mandatory tool-paper artifact deadline, the rebuttal window, notification, the voluntary post-acceptance artifact round, LNCS camera-ready, and presentation, with backward-planning offsets that account for TACAS's single annual round and its parallel paper+artifact review.ProductivitateFără avertismente★ 1,4 K↓ —
- pmla-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when running the final pre-submission preflight for PMLA (Publications of the Modern Language Association) via the ScholarOne site — venue selection, MLA-membership eligibility, anonymous preparation, word range, MLA style, cover sheet, and AI-content disclosure. Final checks; it does not draft content.AlteleFără avertismente★ 1,4 K↓ —
- refactor-cleandzhng/skillsRefactor cleanly instead of layering sediment. Use for rename requests, stale or misleading names, legacy leftovers, changed scope, or when a change reveals duplicated concepts, local adapters, obsolete owners, redundant inputs or guards, compatibility wrappers, parallel abstractions, an over-large module that has accreted many responsibilities, or "just tack this on" pressure in any code area.InginerieFără avertismente★ 1,4 K↓ —
- jetson-customize-nvpmodelNVIDIA/skillsUse when you need to add, remove, edit, list, or change the boot default of an nvpmodel power mode on a Jetson/Tegra (Orin, Thor) target. Triggers: edit power mode, tune frequency caps.RedactareFără avertismente★ 3,8 K↓ —
- research-audiencegooseworks-ai/goose-skillsAudience research: who the buyers are, in their own words, where they gather and how to reach them — plus named prospect lists when asked. Use when the marketer says "research our audience", "who should we target", "mine our reviews", "why do people buy us or leave", "where does our audience hang out"; or for lists: "find 50 right-fit leads with emails", "find retailers or accounts to pitch", "score these leads / who do we call first", "who's looking for an alternative to X", "tell me when a past champion changes jobs". Reads the brand's own customer data first and delivers a readable report saved to the brand. Never contacts anyone. Not for market size or trends — use research-market; not for writing the messages — use write-outreach.ȘtiințăFără avertismente★ 1,3 K↓ —
ab-test-readout
mohitagw15856/pm-claude-skills
De la autor
Analyse a finished A/B test and write the readout — the result, whether it's statistically and practically significant, what it means, and the ship/no-ship call. Use when asked to analyse experiment results, write an A/B test readout, interpret test data, or decide whether to ship a variant. Produces a clear verdict with the lift and confidence, segment cuts, the risks (peeking, novelty, sample), and a recommendation. Distinct from planning a test — this reads results.
Instalare
npx skills add mohitagw15856/pm-claude-skills --skill ab-test-readout -a claude-code
Se instalează în .claude/skills/ab-test-readout/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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- SKILL.md