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.
49.361 de skill-uri din 2.397 de depozite · actualizat acum 18 minute
49.361 de skill-uri
- policy-draftermohitagw15856/pm-claude-skillsDraft an internal policy people can actually follow — the rule stated plainly with its reason, the bright lines separated from the judgment zones, the edge cases resolved by principle, and the enforcement reality stated honestly. Use when asked write our expense/remote-work/AI-use/security policy, turn this incident into a policy, our policy doc is unreadable, or people keep asking what's allowed. Produces the policy with rules-plus-reasons, the bright-line/judgment split, the worked edge cases, and the honest enforcement section.SecuritateFără avertismente★ 1,5 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↓ —
- analyze-performance-rank-and-readgooseworks-ai/goose-skillsStep of the analyze-performance playbook: ranks creative by angle, hook and format with spend gates, writes short per-channel reads and drafts what to make next. Run analyze-performance instead; not for direct use.RedactareFără avertismente★ 1,3 K↓ —
- analyze-performance-call-and-learngooseworks-ai/goose-skillsStep of the analyze-performance playbook: calls ended tests, scores last week's calls, writes this week's kill/scale/hold calls and drafts learnings for the brand brain. Run analyze-performance instead; not for direct use.TestareFără avertismente★ 1,3 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↓ —
- 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↓ —
- weather-nowmohitagw15856/pm-claude-skillsGet current weather and forecasts with zero API keys — wttr.in one-liners for humans, Open-Meteo JSON for data, with the exact curl commands and format codes. Use when asked what's the weather, will it rain today, forecast for a city, or get me weather data for a location. Produces the live conditions or forecast pulled via curl, interpreted plainly, with the source timestamp and the command used shown so the user can rerun it.InginerieFără avertismente★ 1,5 K↓ —
- infra-setupevo-hq/evoNon-user-invocable provider/setup reference for evo backend switching, prerequisite checks, and auth/install guidance.AlteleFără avertismente★ 1,5 K↓ —Apare și în 1 alt depozit
- ux-extractjezweb/claude-skillsExhaustively extract UX patterns from a reference web app. Walks every screen, captures screenshots of every state, records interaction patterns, copy verbatim, keyboard shortcuts, responsive treatments, motion, and empty/error/loading states. Produces a reusable pattern library that other audits can compare against. The inverse of ux-audit — asks 'what is the bar?' rather than 'does this match the bar?'. Trigger with 'learn from X', 'extract patterns from X', 'study X's UX', 'reverse engineer the UX of X', 'build a pattern library from X'.DesignFără avertismente★ 1,1 K↓ —
- hf-cloud-sagemaker-iam-preflighthuggingface/skillsEnsure a usable SageMaker execution role exists before deploying or training. Use this skill whenever about to create a SageMaker endpoint, model, training job, or any resource that requires an execution role. Use it especially when the user has not provided a role ARN explicitly, when scripts are about to call `iam:CreateRole`, or when an AccessDenied error mentions an IAM action. Never blindly call `iam:CreateRole` — always check for existing roles first. This skill prevents the most common SageMaker deployment failure: trying to create IAM resources from an SSO principal that has no IAM write permissions.OficialDevOpsFără avertismente★ 11,3 K↓ —
- hf-cloud-serving-image-selectionhuggingface/skillsPick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.OficialMediaFără avertismente★ 11,3 K↓ —
- gift-findermohitagw15856/pm-claude-skillsFind a genuinely good gift for a specific person and occasion within a budget — thoughtful and non-obvious, not a generic 'top 10 gifts' list. Use when asked for gift ideas, what should I get [person], help me find a present, or I have no idea what to buy. Produces a short set of tailored ideas across price points, why each fits this person, where to get it and rough price, a safe backup, and an honest flag when you need one more detail to nail it.PlanificareFără avertismente★ 1,5 K↓ —
- cn-level-mappermohitagw15856/pm-claude-skillsCompare job levels (职级) across Chinese technology companies and against international ladders, to judge an offer, a job move or a promotion target: what a level usually means in scope and expectations, how levels roughly line up, and what to ask the recruiter. Use when asked P7 相当于什么级别, 跳槽职级怎么对标, 字节 2-2 对应阿里什么, 这个 offer 的职级合理吗, compare Chinese tech levels, or how does Alibaba P-level map to Google levels. Produces a level comparison built from the person's own ladders and offer details, a scope-and-expectation profile for each level, the negotiation questions to ask, and a clear note on what is approximate.ProductivitateFără avertismente★ 1,5 K↓ —
- page-croalirezarezvani/claude-skillsFix a page that is not converting: section by section audit with fixes ranked by impact. Use whenever a homepage, landing, pricing or feature page gets few signups, sales or clicks.MarketingFără avertismente★ 29,3 K↓ —
- planning-with-filesOthmanAdi/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↓ —Apare și în 1 alt depozit
- minutes-live-sidekicksilverstein/minutesAct as the user's live meeting sidekick inside the current terminal agent session. Use when the user explicitly asks you, the terminal agent, to watch a meeting, follow the live transcript, answer during the call, offer strategist thoughts, silently watch for risks, or track decisions. Do not use this skill to start or control the separate Minutes Coach HUD; explicit Coach or HUD lifecycle requests belong to minutes-copilot, and an ambiguous request such as "coach me live" requires one short surface clarification.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- voiceChatCut-Inc/agent-pluginText-to-Speech (TTS), voice cloning, voiceover, narration placement/sync, and custom sound effects (SFX) generator. Use when the user wants generated speech from text, wants to clone a consented voice from uploaded reference audio, wants to correct a misspoken word or short phrase in recorded speech, wants to add/replace/align narration or voiceover for an existing video/timeline, wants to keep existing voiceover synced after visual retiming edits, needs voice audition/selection, or explicitly wants a newly generated/custom sound effect that is not available in the Sound Effects library.MediaFără avertismente★ 1 K↓ —
- optimization-suggesthoangsonww/Claude-Code-Agent-MonitorSuggest concrete optimizations for Claude Code usage based on historical session data. Covers cost reduction, speed improvement, error prevention, and workflow efficiency. Use for data-driven optimization planning.PlanificareFără avertismente★ 1,1 K↓ —
- shipevo-hq/evoLand the winning experiment from an evo run as a clean, mergeable change -- open a PR when the repo has a remote, otherwise merge into the working branch. Distills the best-scoring experiment down to the minimal diff that reproduces its behaviour, shaped for the qualities a maintainer merges on (scope discipline, test integrity, style adherence), then attaches an advisory mergeability report. Use when the user invokes /evo:ship, asks to land/merge/ship the best result, or wants to turn a finished optimization into a pull request.TestareFără avertismente★ 1,5 K↓ —Apare și în 1 alt depozit
- nejm-submissionbrycewang-stanford/Awesome-Journal-SkillsUse as the final preflight before submitting to NEJM — a complete clinical checklist across significance, registration, reporting guidelines, abstract, statistics, display items, ethics, references, and required files. Bundles a checklist and a clinical cover-letter template.ȘtiințăFără avertismente★ 1,4 K↓ —
- popl-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when preparing a POPL submission for the single July HotCRP deadline — auditing the 25-pages-of-text acmsmall cap, summary-rejection format rules, full double-blind hygiene for theory papers with public proof repositories, dual-submission exposure, and the final-days upload order before the AoE cutoff.ProductivitateFără avertismente★ 1,4 K↓ —
- jama-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when running the final pre-submission preflight for a JAMA manuscript — word/format limits, required statements, checklist and flow-diagram files, disclosures, and portal steps. Verifies completeness; it does NOT write or analyze content.RedactareFără avertismente★ 1,4 K↓ —
- sci-rebuttalbrycewang-stanford/Awesome-Journal-SkillsUse after Science reviews arrive to triage the decision, prioritize experiments, and draft a point-by-point response that is respectful, evidence-led, and honest about limits. Do not run before the main text is actually revised.ȘtiințăFără avertismente★ 1,4 K↓ —
- whyNouhashgraph-online/awesome-codex-pluginsExplain why code exists in its current form by sending one investigator to each reachable evidence source and returning a cited, confidence-graded answer. Use for "why does this exist", "why was it built this way", "where did this limit come from", "is this dead code".FinanțeFără avertismente★ 1,5 K↓ —
status-page-generator
kostja94/marketing-skills
AlteleActualizat ieri
De la autor
Deprecated compatibility entry for Status Page construction. This page is now maintained in Pagina; install and use page-builder to build a new Status Page.
Instalare
npx skills add kostja94/marketing-skills --skill status-page-generator -a claude-code
Se instalează în .claude/skills/status-page-generator/ · 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 instrucțiuniFolosește rețeauaLicență: MIT
Verificări de siguranță pe SKILL.md
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De ce 88
Securitate100
Proveniență76
Întreținere100
Licență100
Adopție49
Fișiere (1)
- SKILL.md