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.
47.966 de skill-uri din 2.309 depozite · actualizat acum 17 ore
46.854 de skill-uri
- agenthubalirezarezvani/claude-skillsMulti-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.ȘtiințăFără avertismente★ 29 K↓ —
- database-designeralirezarezvani/claude-skillsUse when the user asks to design database schemas, plan data migrations, optimize queries, choose between SQL and NoSQL, or model data relationships.DateFără avertismente★ 29 K↓ —
- frontend-component-buildrampstackco/claude-skillsBuild production-ready frontend components with accessible markup, sensible props, defined states, and tested behavior. Use this skill whenever the user wants to build a component from scratch, refactor an existing one, design a component API, or implement a UI element with proper states and accessibility. Triggers on build a component, create a button, create a modal, create a form input, component API, props design, component states, refactor component, accessible component. Also triggers when implementing UI from a design that needs to be reusable.DesignFără avertismente★ 1 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↓ —
- award-applicationjezweb/claude-skillsWrite compelling award submissions, grant applications, and competition entries. Maps achievements to selection criteria using evidence-based narratives. Use whenever the user is applying for a business award (Telstra, chamber of commerce, industry awards), a grant, a competition, or any submission demonstrating merit against defined criteria.RedactareFără avertismente★ 1,1 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↓ —
- vpe-advisoralirezarezvani/claude-skillsVP of Engineering advisory for startups: delivery throughput (DORA 4 metrics + bottleneck identification), engineering hiring funnel (sourcing → screen → onsite → offer conversion + time-to-fill + pipeline gap), engineering team structure (squad/tribe/chapter design + tech-lead manager-trigger thresholds), and production discipline (on-call, deployment cadence, postmortem culture). Use when sprint velocity is dropping, eng hiring is broken, team structure is unclear, or deciding when to add a tech-lead manager. NOT a CTO skill (which owns architecture) — VPE owns delivery operations and how the team ships.DevOpsFără avertismente★ 29 K↓ —
- minutes-x1-send-meetingsilverstein/minutesSend one of the user's own Minutes meetings to their X1 household for review. Use when the user wants a meeting's summary, decisions, action items, and open questions to reach X1 so they can confirm what belongs in their household record. X1 asks the user to approve the send, and nothing reaches the household record until they confirm each item. Never use it for a restricted meeting, a transcript, or someone else's meeting.InginerieFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- nist-ai-rmfSushegaad/Claude-Skills-Governance-Risk-and-ComplianceExpert NIST AI Risk Management Framework (AI RMF 1.0) advisor covering all four functions: GOVERN, MAP, MEASURE, MANAGE. Use this skill whenever a user asks about NIST AI RMF, AI risk management, AI trustworthiness, GOVERN function, MAP function, MEASURE function, MANAGE function, AI RMF Playbook, AI risk profiles, responsible AI, AI bias management, AI transparency, AI explainability, AI reliability, AI safety, NIST AI 100-1, AI risk assessment, AI incident response, or alignment to EU AI Act, ISO 42001, or NIST CSF via AI RMF. Trigger even if the user doesn't say "skill" — any NIST AI RMF or AI governance risk question should use this skill.AlteleFără avertismente★ 1 K↓ —
- explain-simplymohitagw15856/pm-claude-skillsExplain anything in plain language — a contract clause, a medical term, a tax rule, a tech acronym, a news story — layered from a one-liner to as much depth as you want. Use when asked to explain like I'm 5, explain this simply, break this down in plain English, or what does this even mean. Produces the one-sentence version, a plain-language explanation with a concrete analogy, the 'why it matters to you,' and an honest note on anything genuinely uncertain or oversimplified.ȘtiințăFără avertismente★ 1,5 K↓ —
- ctf-miscljagiello/ctf-skillsProvides miscellaneous CTF challenge techniques for problems that do not cleanly fit the main categories. Use for encoding puzzles, pyjails, bash jails, RF/SDR, DNS oddities, unicode tricks, esoteric languages, QR or audio puzzles, constraint solving, game theory, unusual sandbox escapes, and hybrid logic puzzles. Prefer a more specific skill first when the challenge is mainly web, pwn, reverse, forensics, malware, OSINT, or crypto. Treat this as the fallback skill for genuine cross-category or edge-case challenges, not the default starting point.SecuritateFără avertismente★ 3,6 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★ 11,2 K↓ —
- ui-designhashgraph-online/awesome-codex-pluginsDesign, build, or improve web and mobile interfaces using real product examples from UIZZE’s 800,000+ web and iOS screens. Use for UI design, UX design, frontend or web design, mobile app UI, responsive layouts, design systems, redesigns, visual polish, interface critique, and requests like “make this UI better.”DesignFără avertismente★ 1,5 K↓ —Apare și în 1 alt depozit
- 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★ 11,2 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★ 11,2 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★ 11,2 K↓ —
- work-with-creatorsgooseworks-ai/goose-skillsReal creators and influencers, researched, priced and briefed. Use when the marketer says "find influencers", "which creators are worth paying, at what price?", "find real UGC creators to film for our ads", "who should we seed product to", "is this creator's engagement real", "what should I pay this creator" or "write a creator brief". Free research first; one credit yes only to vet deeper. Drafts only: contacts nobody, agrees nothing, moves no money. Not for AI-made UGC-style video — use goose-video; if unsure, ask: a real person filming, or AI-made?MediaFără avertismente★ 1,3 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★ 11,2 K↓ —
- ai-model-wechatTencentCloudBase/CloudBase-AI-ToolkitUse this skill for WeChat Mini Program AI via wx.cloud.extend.AI (小程序, wx.cloud apps). Covers generateText and streamText with callbacks (onText, onEvent, onFinish); streamText needs a data wrapper, generateText returns the raw response. Models via wx.cloud.extend.AI.createModel with groups cloudbase (main managed, also 小程序成长计划 with `hy3`), the legacy hunyuan-v3 / hunyuan-exp, or custom-*; model id goes in the data wrapper `model` field. MUST run two-step preflight before code — see body. NOT for browser/Web (use ai-model-web), Node.js backend (use ai-model-nodejs), or image generation (use ai-model-nodejs).BrowserFără avertismente★ 1,2 K↓ —
- rubric-buildermohitagw15856/pm-claude-skillsCreate a clear grading rubric with criteria and performance-level descriptors that make scoring fair, fast, and consistent. Use when asked to build a rubric, create grading criteria, design an assessment scoring guide, or make grading more objective. Produces an analytic rubric table (criteria × performance levels) with concrete, observable descriptors and a points scheme — plus a short version students can self-check against.DesignFără avertismente★ 1,5 K↓ —
- ops-inspectorTencentCloudBase/CloudBase-AI-ToolkitAIOps-style CloudBase inspection skill. Use when users need health checks, log diagnosis, alarm interpretation (CPU alert normal?, peak QPS), metrics via queryEnv(action=metrics), fault playbooks for 429 / AI model 429 / function timeout / function 404 / ACCESS_TOKEN_INVALID / zero invocations, or a scheduled patrol that reports only new or worse findings. Triggers on 巡检, 诊断, 告警, 峰值 QPS, 限频, 调用量为 0, 定时巡检, 每天检查, 值守, troubleshooting.AlteleFără avertismente★ 1,2 K↓ —
- outcomes-ledgergooseworks-ai/goose-skillsShared step of the marketing playbooks (research-audience, write-outreach, work-with-creators): keeps the brand's record of the prospects or creators that were handed over. Tracks a status for each person, permanent opt-outs, re-check dates and dated lessons, which the next run reads. Loaded by those playbooks; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- google-apps-scriptjezweb/claude-skillsBuild Google Apps Script automation for Sheets and Workspace. Custom menus, triggers (onEdit / time-driven / form submit), dialogs, sidebars, email batches, PDF export, external API. Use whenever the user wants to automate a Google Sheet, build a Sheets menu / sidebar / dialog, hit a Sheets row from email or a webhook, schedule a Sheets workflow, or asks 'how do I script this in Sheets'.DocumenteFără avertismente★ 1,1 K↓ —
- relational-database-mcp-cloudbaseTencentCloudBase/CloudBase-AI-Toolkit[Deprecated] Existing CloudBase MySQL only. Do not recommend MySQL for new relational work — use postgresql-development. Read this when the environment already has a MySQL instance and the task is queryMysqlDatabase, manageMysqlDatabase, queryPermissions, or managePermissions (inspect, write SQL, schema, permissions, destroy). Do not provision MySQL.DateFără avertismente★ 1,2 K↓ —Apare și în 5 alte depozite
lab
hashgraph-online/awesome-codex-plugins
De la autor
Build a Game Lab for one mechanic of a studio's game (the jump, a hit, a dash, a drift, a landing) and iterate on how it FEELS with the creator, side by side. The lab plays one short take in two builds at once, New (the working tree) and Today (the last commit), on one clock with the same seed and presses, slowed to a tenth or stepped a frame at a time, with a timeline of named phases, graphs of tracked values New against Today, the game's own onion skins and arcs, preset views, a phone-size view, and live sliders that write kept values back into the game's tunables.json. Use when someone says "iterate on the jump", "make the hit feel punchier", "tune the drift", "the dash feels floaty", "the landing is stiff", "add juice", "hit-stop", "squash and stretch", "screen shake", or asks for an animation or feel editor for their game.
Instalare
npx skills add hashgraph-online/awesome-codex-plugins --skill lab -a claude-code
Se instalează în .claude/skills/lab/ · 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.
La ce are acces
Verificări de siguranță pe SKILL.md
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De ce 88
Fișiere (4)
- SKILL.md
- references/API.md
- references/PRINCIPLES.md
- references/record-lab.json