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 49 de minute
49.409 skill-uri
- expense-filermohitagw15856/pm-claude-skillsTurn a pile of receipts into a filed expense report through a tool-using agent — extraction, policy checks, and categorization done for you; submission gated on your approval. Use when asked to file my expenses, process these receipts, build my expense report, or expense this trip. Produces the itemized report with policy flags and an approval-gated filing plan.PlanificareFără avertismente★ 1,5 K↓ —
- ap-plannerSpielewoy/autoprompt-skillReport the compatibility redirect to `ap-roadmap-author`; this retired role cannot perform new work.PlanificareFără avertismente★ 1,2 K↓ —
- scrapecreators-apigooseworks-ai/goose-skillsProvider reference for collecting public profiles, posts, comments, transcripts, trends, and ad-library data from major social platforms through ScrapeCreators. Use as a dependency of research workflows, not as the final user-facing deliverable.BrowserFără avertismente★ 1,3 K↓ —
- ap-janitorSpielewoy/autoprompt-skillReport the compatibility redirect to `C0`; this retired role cannot perform new work.AlteleFără avertismente★ 1,2 K↓ —
- Error Resolverforyourhealth111-pixel/Vibe-SkillsLegacy error-resolution reference archive retained for migration. Do not route user tasks here; use systematic-debugging for active bug, stack-trace, and root-cause work.InginerieFără avertismente★ 3,8 K↓ —
- plan-campaign-channel-decisiongooseworks-ai/goose-skillsStep of the plan-campaign playbook: marks each candidate channel Run, Test, Later or No with a brand-fact reason and founder hours. Run plan-campaign instead; not for direct use.MarketingFără avertismente★ 1,3 K↓ —
- research-marketgooseworks-ai/goose-skillsMarket research and brand watch: which market the brand is in, how big the reachable part is, what's changing, how buyers buy and what they pay, what people are saying now, and what it means for positioning. Use when the marketer asks for market research, "how big is my market", "what's changing in my category", "what do others charge", "what are people saying about us", "is there demand for <idea>", or "watch my brand / tell me if something blows up" (alerts only, risk first). Also writes positioning choices and finished messages ("position my product", "write our positioning"). Researches first, asks only decisions at the end, and saves the output to the brand. Not for who the buyers are and their own words — use research-audience; not for a deep look at rivals — use research-competitors.ȘtiințăFără avertismente★ 1,3 K↓ —
- create-issueNoufcakyon/claude-codex-settingsThis skill should be used when the user asks to "create an issue", "file a bug", "report a problem", "rewrite an issue", or "improve an issue title or body".AlteleFără avertismente★ 1,2 K↓ —
- baoyu-youtube-transcriptJimLiu/baoyu-skillsDownloads YouTube video transcripts/subtitles and cover images by URL or video ID. Supports multiple languages, translation, chapters, and speaker identification. Caches raw data for fast re-formatting. Use when user asks to "get YouTube transcript", "download subtitles", "get captions", "YouTube字幕", "YouTube封面", "视频封面", "video thumbnail", "video cover image", or provides a YouTube URL and wants the transcript/subtitle text or cover image extracted.MediaFără avertismente★ 27,2 K↓ —
- agentlas-cloudagentlas-ai/Agentlas-OSUse when the user types /agentlas-cloud, /agentlas cloud, or /hep-cloud to staff only from the signed-in owner's private Cloud packages.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- atc-supplementarybrycewang-stanford/Awesome-Journal-SkillsUse when deciding what belongs in the ATC (ACM SIGOPS Annual Technical Conference, formerly USENIX ATC) two-page extended abstract, the 12-page paper body, the optional appendix, and the artifact — splitting content by review round and decision-criticality so nothing that decides acceptance lives where a reviewer is not required to read.ȘtiințăFără avertismente★ 1,4 K↓ —
- where-to-start-situation-savegooseworks-ai/goose-skillsStep of the where-to-start playbook: saves the founder's answers and the agreed first move with the brand, so later visits and other playbooks don't ask again. Run where-to-start instead; not for direct use.AlteleFără avertismente★ 1,3 K↓ —
- add-oneclinanocoai/nanoclawInstall or refresh OneCLI as NanoClaw's gateway provider. Use when setup selects OneCLI, an existing OneCLI-backed install is migrated to the gateway seam, or its runtime, approval bridge, setup, and agent guidance must be restored from the in-tree package.AlteleFără avertismente★ 31,1 K↓ —
- email-lifecyclegooseworks-ai/goose-skillsLifecycle email, SMS and push: audits the list and deliverability, then writes the flows this kind of business needs first, loadable as-is in your own tool, plus segments, cadence and this week's broadcasts. Never sends anything. Use when: set up my welcome and abandoned-cart emails; trial onboarding or waitlist launch emails; win back lapsed customers; plan this week's emails and texts; push notifications for my app; why are my emails going to spam; plan our Black Friday email and SMS sends; a send went wrong. Not for cold outreach to prospects — use write-outreach; not the editorial newsletter issue — use make-content; not the whole cross-channel Black Friday plan — use plan-campaign.ProductivitateFără avertismente★ 1,3 K↓ —
- sosp-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing a SOSP submission for HotCRP readiness, covering the abstract-registration and full-paper deadlines, the 12-page technical-content limit with references excluded, the 7x9-inch two-column format, double-blind rules with paper-ID substitution, conflict declaration under PC-chair audit, and desk-reject triage.ȘtiințăFără avertismente★ 1,4 K↓ —
- fse-related-workbrycewang-stanford/Awesome-Journal-SkillsUse when positioning an ESEC/FSE submission against the software-engineering literature across ICSE, FSE, ASE, ISSTA, MSR, and the SE journals (EMSE, TSE, TOSEM), writing delta-first contrast rather than a citation catalog, keeping self-citations double-anonymous, and handling concurrent, preprint, and prior-version overlap.RedactareFără avertismente★ 1,4 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↓ —
- icdm-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ICDM (IEEE International Conference on Data Mining) submission for readiness, covering Research-vs-Applied track choice and its anonymity regime, the triple-blind sweep, the 10-page IEEE all-inclusive cap, the single June deadline, in-paper artifact references, and the desk-level triggers that get an ICDM paper rejected without review.ȘtiințăFără avertismente★ 1,4 K↓ —
- ndss-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when performing the final pre-upload audit of an NDSS submission — HotCRP fields, the AoE deadline, NDSS template and 13-page compliance, double-blind sweep, ethics readiness, the six-per-author cap, overlap rules, and desk-reject triage in the last week.JuridicFără 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↓ —
- 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↓ —
- 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↓ —
skill-lifecycle-promotion
agentlas-ai/Agentlas-OS
AlteleActualizat acum 8 ore
De la autor
Use when adding or auditing Agentlas skill lifecycle metadata, skill-registry.json, trial evidence, Curator promotion decisions, or first-class skill promotion gates.
Instalare
npx skills add agentlas-ai/Agentlas-OS --skill skill-lifecycle-promotion -a claude-code
Se instalează în .claude/skills/skill-lifecycle-promotion/ · 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: APACHE-2.0
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- SKILL.md