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 9 minute
49.409 skill-uri
- list-connectionsmicrosoft/power-platform-skillsLists Power Platform connections in the current environment. Use when you need a connection ID before adding a connector to a code app.InginerieFără avertismente★ 1,1 K↓ —
- preview-screensmicrosoft/power-platform-skillsUse when the user wants to preview generated screens in a browser without starting Metro / a simulator — for example after /create-mobile-app finishes or after /edit-app regenerates a screen.BrowserFără avertismente★ 1,1 K↓ —
- finishing-a-development-branchGanyuanRan/AegisUse when verified work needs integration or cleanup of an existing task-created branch/worktree, or the user explicitly requests merge, PR, or branch lifecycle handling.ProductivitateFără avertismente★ 1,4 K↓ —
- eacl-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an EACL project timeline through ACL Rolling Review, covering the single viable ARR cycle with no fallback, backward planning from the one deadline, the rebuttal window, the commitment decision to EACL, notification, and camera-ready through ACL Anthology publication, plus re-routing since the next chance is another conference.ProductivitateFără avertismente★ 1,4 K↓ —
- oma-academic-writingfirst-fluke/oh-my-agentDraft and revise academic prose against a rubric, evidence, and citation requirements. Use for essays, reports, literature reviews, or academic style audits.RedactareFără avertismente★ 1,4 K↓ —Apare și în 1 alt depozit
- jlcpcbhashgraph-online/awesome-codex-pluginsJLCPCB PCB fabrication and assembly — BOM/CPL generation, basic vs extended parts, assembly constraints, design rules, ordering workflow. Use with KiCad for JLCPCB manufacturing. Use this skill when the user mentions JLCPCB, wants to order PCBs or assembled boards, needs prototype bare PCBs and stencils, wants to know JLCPCB design rules and capabilities, or is asking about PCB manufacturing costs or turnaround times. For gerber/CPL export, stencil ordering, and BOM management, see the `bom` skill.DesignFără avertismente★ 1,5 K↓ —
- cell-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when deciding which cell-* sub-skill to invoke next, or when sequencing a manuscript from significance test through reviewer rebuttal for Cell (Cell Press). Routes — it does not replace — the specialized skills.ProductivitateFără avertismente★ 1,4 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↓ —
- ecai-workflowbrycewang-stanford/Awesome-Journal-SkillsUse to plan an ECAI campaign end to end — run the single-round year backward from the paper deadline through the abstract/registration step, summary-reject phase, rebuttal window, notification, and the open-access camera-ready, adapting to whether the edition is a standalone ECAI (FAIA/PAIS) or the joint IJCAI-ECAI 2026.ProductivitateFără 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; 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↓ —
- improve-search-visibility-entity-footprintgooseworks-ai/goose-skillsStep of the improve-search-visibility playbook: checks the profiles answer engines read, plus local listings and reviews, against the brand's facts and writes corrections. Run improve-search-visibility instead; not for direct use.RedactareFără avertismente★ 1,3 K↓ —
- dac-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ACM/IEEE Design Automation Conference (DAC) Research-Manuscript submission for Softconf readiness, covering the two-stage abstract-then-manuscript deadline, the 6+1-page ACM double-column page budget with its references-only last page, the double-blind anonymization sweep, TPC conflict-of-interest declaration, and desk-reject triage before the mid-to-late-November cutoff.DesignFără avertismente★ 1,4 K↓ —
- legal-briefmohitagw15856/pm-claude-skillsDraft a structured legal brief, case summary, or legal argument outline. Use when asked to write a legal brief, case note, legal memo, argument outline, or position paper. Produces a structured document using IRAC format (Issue, Rule, Application, Conclusion).JuridicFără avertismente★ 1,5 K↓ —
- plan-my-daymohitagw15856/pm-claude-skillsTurn a messy to-do brain-dump into a realistic, time-blocked day — top priorities first, everything slotted with buffer, and an honest 'this won't all fit, cut these.' Use when asked to plan my day, time-block my schedule, help me organize today, or I have too much to do. Produces the top 3 priorities, a time-blocked schedule around your fixed commitments, a realistic cut list when it's overloaded, and an if-things-slip fallback — planning for the day you'll actually have.PlanificareFără avertismente★ 1,5 K↓ —
- icdm-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ICDM (IEEE International Conference on Data Mining) project timeline from venue fit through the abstract and full-paper deadlines, the long summer wait to the August notification, the no-rebuttal review, the possible short-paper acceptance branch, IEEE camera-ready, and in-person presentation on a single annual deadline.ProductivitateFără avertismente★ 1,4 K↓ —
- hpca-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an HPCA project timeline from venue fit through the two-step July registration and paper gate, the autumn review wait, the single rebuttal/revision window, notification, IEEE camera-ready, artifact evaluation, and the February/March talk, with backward-planning offsets for a hardware-evaluated paper.ProductivitateFără avertismente★ 1,4 K↓ —
- doca-comchNVIDIA/skillsUse this skill when the user is doing hands-on DOCA Comch work on a host + BlueField pair — bringing up host ↔ DPU PCIe control-plane messaging, picking server (DPU) vs client (host) roles, choosing slow-path send-task / recv-callback vs fast-path producer / consumer, querying max-msg-size or max-clients capabilities, registering connection callbacks, or debugging DOCA_ERROR_* returns from the Comch API. Trigger even when the user does not explicitly mention "DOCA Comch" or "Comm Channel" (renamed in DOCA 2.5) — typical implicit phrasings include "send a control message from host to BlueField over PCIe", "DPU can't see the host representor", "DOCA_ERROR_NOT_PERMITTED on server_create", "DOCA_ERROR_AGAIN on task_send submit", "connect callback never fires", or "stream bulk data from a host driver to a DPU agent". Refuse and route elsewhere for installing DOCA itself, BFB / firmware bring-up, non-Comch DOCA libraries, or deploying Comch apps at scale — those belong to other skills.DevOpsFără avertismente★ 3,8 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↓ —
- run-organic-social-platform-researchgooseworks-ai/goose-skillsResearches how one social platform works right now from dated sources (what gets reach, formats rising and fading, how small accounts get seen, recent changes) and finds what is getting watched in a given niche there, with linked examples and engagement read against each author's baseline. Use alone when you already have the platform and niche; otherwise run run-organic-social.ȘtiințăFără 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↓ —
- 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↓ —
- research-competitors-category-passgooseworks-ai/goose-skillsStep of the research-competitors playbook: the worker brief covering the whole category, including searches, AI answers, community threads and category ad winners. Run research-competitors instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
performance-optimization
rampstackco/claude-skills
MediaActualizat 27 oct. 2026
De la autor
Diagnose and fix web performance issues including Core Web Vitals (LCP, INP, CLS), bundle size, asset optimization, render performance, and runtime efficiency. Use this skill whenever the user wants to improve page speed, fix Core Web Vitals, optimize assets, reduce bundle size, debug slow renders, or systematically improve a site's performance. Triggers on performance, page speed, Core Web Vitals, LCP, INP, CLS, FID, TTFB, bundle size, code splitting, image optimization, lazy loading, render blocking, slow page, performance audit, Lighthouse score. Also triggers when traffic or conversion is dropping due to perceived slowness.
Instalare
npx skills add rampstackco/claude-skills --skill performance-optimization -a claude-code
Se instalează în .claude/skills/performance-optimization/ · 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
Niciun avertisment.
De ce 88
Securitate100
Proveniență76
Întreținere100
Licență100
Adopție49
Fișiere (5)
- README.md
- SKILL.md
- references/audit-template.md
- references/optimization-checklist.md
- references/optimization-playbook.md