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.
48.168 de skill-uri din 2.325 de depozite · actualizat acum 3 ore
47.055 de skill-uri
- content-strategyalirezarezvani/claude-skillsUse when deciding what content to create (topics, clusters, a blog or content plan), before listing ideas. Maps topic clusters with topic_cluster_mapper.py and ties each piece to a funnel stage and search demand.RedactareFără avertismente★ 29,1 K↓ —
- pmla-workflowbrycewang-stanford/Awesome-Journal-SkillsUse as the entry point for any PMLA (Publications of the Modern Language Association) manuscript. Routes to the right PMLA sub-skill based on where you are in the lifecycle and which venue fits — a regular blind-reviewed article or a special feature (Theories and Methodologies, The Changing Profession, Criticism in Translation, Little-known Documents). It dispatches; it does not draft content.ProductivitateFără avertismente★ 1,3 K↓ —
- write-outreachgooseworks-ai/goose-skillsCold outreach a person sends to business buyers: email and LinkedIn sequences, a first line per prospect, reply and objection answers, and a read of replies. Use when the marketer says "write a cold email sequence", "what do I send to this list", "write LinkedIn messages for these leads", "how do I reply to this prospect" or "handle this objection", "reply to this demo request", "win back or reconnect with accounts that churned or went quiet", or "why is nobody replying to my outreach". Drafts only; the marketer sends from their own tool. Not for finding the people — use research-audience; not for emails to subscribers or users, or consumer win-back — use email-lifecycle.RedactareFără avertismente★ 1,3 K↓ —
- research-market-market-passgooseworks-ai/goose-skillsStep of the research-market playbook: the worker brief for researching the market itself, including category, size, changes, pricing norms and demand. Run research-market instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- ase-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when designing or auditing the evaluation of an ASE (IEEE/ACM Automated Software Engineering) paper, covering real subject systems, fair runnable tool baselines, task-matched effectiveness metrics, ablations that isolate a learned component, oracle and correctness validation, contamination-aware LLM handling, and provenance for mining.ȘtiințăFără avertismente★ 1,3 K↓ —
- tanstack-startjezweb/claude-skillsBuild a full-stack TanStack Start app on Cloudflare Workers from scratch — SSR, file-based routing, server functions, D1+Drizzle, better-auth, Tailwind v4+shadcn/ui. Use whenever the user mentions TanStack Start, asks to scaffold a full-stack Cloudflare app with SSR, wants an SSR dashboard, or asks for a React 19 + Cloudflare Workers app with file-based routing and server functions — even if they don't name TanStack Start specifically. No template repo — Claude generates every file fresh per project.DevOpsFără avertismente★ 1,1 K↓ —
- check-updatesmicrosoft/power-platform-skillsUse when a Power Apps mobile project needs dependency updates or an npm audit review. Checks the mobile-app plugin first, then updates the native host, other Microsoft packages, and all remaining direct npm packages in order with validation and rollback.InginerieFără avertismente★ 1,1 K↓ —
- uai-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when splitting a UAI paper between the 8-page main part, the unlimited in-PDF appendix for proofs and protocols, and the optional 50 MB supplementary ZIP, deciding what reviewers must see in the body versus what may sit in material they are not required to read, all under double-blind and single-file constraints.DocumenteFără avertismente★ 1,3 K↓ —
- oma-docsfirst-fluke/oh-my-agentCheck documentation references, sync docs to code changes, and detect translation drift. Use for documentation maintenance in a repository.InginerieFără avertismente★ 1,4 K↓ —
- ipsn-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an IPSN-lineage submission for HotCRP readiness, covering the IP-vs-SPOTS track choice, the ACM Primary Article Template and ≤12-page inclusive budget, the double-blind sweep for hardware/deployment papers, dataset/artifact links, and desk-reject triage — routed to the current successor (SenSys) call because IPSN no longer runs standalone.DevOpsFără avertismente★ 1,3 K↓ —
- learn-my-brandgooseworks-ai/goose-skillsLearn my brand once and stop asking me every time. Use when someone says learn my brand, set up my brand, here's our brand book, remember how we talk, what can we claim, can we say this, approve our claims, sign off our voice, our price or product changed, the client approved the claims, pick up where we left off, or check our claims are still current. Reads what GooseWorks already found about the brand, asks only the gaps as drafts to confirm, audits every claim (including ones research marked approved) and gets the ones that matter signed off with proof, scope and review date, turns the voice into rules the owner confirms, checks logo, colours and fonts, and saves it all as it goes so every other job loads it instead of asking. Ends with an unknowns list and a read-back. Not for who our customers are and what they say (use research-audience) or writing positioning from scratch (not covered yet).ȘtiințăFără avertismente★ 1,3 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★ 27,8 K↓ —
- issta-workflowbrycewang-stanford/Awesome-Journal-SkillsUse when planning an ISSTA project timeline from venue fit through the January research-paper deadline, the March author response, the April first decision, the May Major-Revision sprint, the June final decision, artifact evaluation, and the October symposium, with backward-planning offsets for a testing/analysis tool paper and its artifact.ProductivitateFără avertismente★ 1,3 K↓ —
- subagentshashgraph-online/awesome-codex-pluginsUse when a plan has parallel tasks and the harness supports dispatching subagents.PlanificareFără avertismente★ 1,5 K↓ —
- stylehashgraph-online/awesome-codex-pluginsA game's look as a set of decisions that fit together — render style, palette, shape language, proportions, materials, light, camera, fonts and effects; then the cast, its library family, scale and phone budgets — each picked automatically from the person's words with a one-line why, which the person can steer ("warmer", "closer"), lock, or explore on a style board of three directions drawn by the game engine itself (free; a painted mood image only on their own fal account). Locked and pinned decisions keep every asset coherent: change one and the blast radius lists exactly what went stale and what remaking it would cost, and nothing is remade without a yes. Use when someone talks about a game's look or style, "make it look like…", "show me other looks", "keep that palette", "darker", "the art doesn't fit together", or before making any models or art for a game.MediaFără avertismente★ 1,5 K↓ —
- rekallhashgraph-online/awesome-codex-pluginsCompact the current Codex VS Code extension thread through Rekall with a verified handoff and optional one-time continuation. Use on an explicit compaction request or after a substantial completed stage; standalone Codex CLI sessions are unsupported.InginerieFără avertismente★ 1,5 K↓ —
- mind-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when running the final pre-submission preflight for Mind via ScholarOne — preparation for triple-anonymous review, the ~8,000-word limit, the 50–200-word abstract, line numbering, the one-article-per-12-months rule, file format, and the MIND house style. Final checks; it does not draft content.RedactareFără avertismente★ 1,3 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- chartmohitagw15856/pm-claude-skillsTurn numbers into a chart — bar, line, area, pie, or doughnut. Use when asked to chart or graph data, visualize metrics/trends/breakdowns, or show numbers as a picture instead of a table. Produces a ready-to-render chart spec (renders live in the playground and exports as PNG) plus a one-line read of what the chart shows.MediaFără avertismente★ 1,5 K↓ —
managing-up
mohitagw15856/pm-claude-skills
PlanificareActualizat 23 oct. 2026
De la autor
Work more effectively with your manager — communicate, align, escalate, and get what you need. Use when asked how to manage up, work better with a boss, get buy-in from your manager, escalate without overstepping, or prepare to raise something with leadership. Produces a managing-up plan — what your manager needs and how they operate, how to frame your ask, what to bring vs. escalate, and the message.
Instalare
npx skills add mohitagw15856/pm-claude-skills --skill managing-up -a claude-code
Se instalează în .claude/skills/managing-up/ · 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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Proveniență78
Întreținere100
Licență100
Adopție51
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- SKILL.md