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 13 ore
46.854 de skill-uri
- chi-camera-readybrycewang-stanford/Awesome-Journal-SkillsUse when preparing an accepted ACM CHI paper for publication — the TAPS source upload, the PCS publication-ready package, mandatory accessibility work (alt text, screen-reader-friendly PDFs, table headers), video previews, ACM's open-access model, e-rights, and registration deadlines.MediaFără 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↓ —
- jama-statisticsbrycewang-stanford/Awesome-Journal-SkillsUse when preparing or auditing the statistical analysis and reporting of a JAMA manuscript so it survives JAMA's dedicated statistical review. Enforces effect sizes with 95% CIs, multiplicity control, and pre-specification; it does NOT choose the study design or write prose.DesignFără avertismente★ 1,3 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★ 11,2 K↓ —
- web-perffcakyon/claude-codex-settingsAudit, diagnose, or optimize website loading and interaction performance, Core Web Vitals, and Lighthouse performance scores.AlteleFără avertismente★ 1,2 K↓ —
- itcs-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when auditing an ITCS submission for HotCRP readiness — the early-September abstract-then-paper deadlines, single-column >= 11pt format with no hard page limit, the first-10-pages merits window, complete proofs of all central claims, the lightweight double-blind sweep, and the archival-prior-publication check.ȘtiințăFără avertismente★ 1,3 K↓ —
- parallelhashgraph-online/awesome-codex-pluginsBuild a planned game with several agents at once — game logic and netcode, levels, art, sound, the landing page — each in its own folders, then one merge, a two-browser check, a playtest and a blind review. Use only when parallel work is requested and the host supports it. Use after the plan step, or when someone asks to "build it in parallel", "use more agents", "split the work" or "go faster".DesignFără avertismente★ 1,5 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↓ —
- agentlas-searchagentlas-ai/Agentlas-OSSearch Agentlas Cloud and Hub agent candidates without invoking.AlteleFără avertismente★ 1,6 K↓ —
- install-verificationagentlas-ai/Agentlas-OSUse before claiming that the package can be installed or published. Verifies structure, adapters, schemas, executable scripts, and public-safety boundaries.AlteleFără avertismente★ 1,6 K↓ —
- nejm-statisticsbrycewang-stanford/Awesome-Journal-SkillsUse to enforce NEJM's clinical statistical reporting — confidence intervals over bare P values, the pre-specified intention-to-treat primary analysis, multiplicity control for secondary endpoints, pre-specified subgroups with interaction tests, missing-data handling, and absolute risk with NNT alongside relative measures.TestareFără avertismente★ 1,3 K↓ —
- lancet-ethicsbrycewang-stanford/Awesome-Journal-SkillsUse to satisfy The Lancet's clinical-ethics and research-integrity requirements — ethics-committee approval and informed consent under the Declaration of Helsinki, the Declaration of interests, ICMJE author contributions, the role-of-the-funding-source statement, the data-sharing statement, patient and public involvement, and SAGER sex/gender plus equity reporting.ȘtiințăFără avertismente★ 1,3 K↓ —
- scenario-model-trainingscenario-labs/skillsUse when generated assets must keep a consistent style, character, or product look and references stop scaling, or when a user asks to train a custom model through the Scenario MCP, fine-tune a LoRA, clone a voice, curate a training dataset, choose a base model, set epochs and sample prompts, estimate training cost, diagnose a trained model that lost its identity or has one epoch, or generate with a trained model. Keywords: custom model, LoRA, dataset curation, epoch previews.AlteleFără avertismente★ 1,2 K↓ —
- scenario-identity-libraryscenario-labs/skillsUse when a named character or prop must become a reusable identity in Scenario: creating a character or prop from a brief or interview, building its approved image collection (character: <name> or props: <name>), assembling a character sheet or turnaround, or generating new images of an established one. Triggers include create a new character, design a prop, character sheet, turnaround, more images of this character. Keywords: character design, identity, library, collection, grid.DesignFără avertismente★ 1,2 K↓ —
- oma-searchfirst-fluke/oh-my-agentIntent-based search router with trust scoring. Routes queries to optimal channels (Context7 docs, native web search, gh/glab code search, Serena local) and attaches domain trust labels. Use for search, find, lookup, reference, docs, code search, and web research.ȘtiințăFără avertismente★ 1,4 K↓ —
- oma-brainstormNoufirst-fluke/oh-my-agentExplore goals, constraints, and alternative approaches before choosing a design. Use when the user requests ideation or design exploration.PlanificareFără avertismente★ 1,4 K↓ —
- oma-scmNoufirst-fluke/oh-my-agentManage Git branches, merges, conflicts, commits, and release baselines. Use for repository history and change-management operations.InginerieFără avertismente★ 1,4 K↓ —
- oma-frontendNoufirst-fluke/oh-my-agentImplement or modify web UI in React, Next.js, or Angular. Use for components, pages, styles, forms, and frontend state or data flows.DesignFără avertismente★ 1,4 K↓ —
- oma-translatorfirst-fluke/oh-my-agentContext-aware translation that preserves tone, style, and natural word order. Use when translating UI strings, documentation, marketing copy, or any multilingual content. Infers register, domain, and style from the source text and surrounding codebase context.DesignFără avertismente★ 1,4 K↓ —
- working-effectively-with-legacy-codeciembor/agent-rules-booksApply Michael Feathers-inspired legacy-code rules when changing hard-to-test code safely with characterization tests, seams, sprout methods, or wrap methods.InginerieFără avertismente★ 3,2 K↓ —
- magentshashgraph-online/awesome-codex-pluginsTalk to other coding agents on this machine (Claude Code, Codex, Copilot, Cursor, Gemini, AGY, Grok, OpenCode) through the magents MCP. Use when the user asks what another agent was working on, wants to carry on that work, send them a message, start an independent agent session, or check the shared inbox. Prefer magents MCP tools over hunting session files on disk.InginerieFără avertismente★ 1,5 K↓ —
- pmla-submissionbrycewang-stanford/Awesome-Journal-SkillsUse when running the final pre-submission preflight for PMLA (Publications of the Modern Language Association) via the ScholarOne site — venue selection, MLA-membership eligibility, anonymous preparation, word range, MLA style, cover sheet, and AI-content disclosure. Final checks; it does not draft content.AlteleFără avertismente★ 1,3 K↓ —
- scenario-model-comparisonscenario-labs/skillsUse when comparing Scenario models on the same brief through MCP: a bake-off with shared prompts and inputs, cost, generation time and quality measured side by side, choosing a default model, testing a new release against the incumbent, or finding which model handles a style, edit, or reference image best. Keywords: model comparison, benchmark, bake-off, A/B test, contact sheet, cost per asset, latency.TestareFără avertismente★ 1,2 K↓ —
scenario-team-admin
scenario-labs/skills
InginerieActualizat acum 19 ore
De la autor
Use when administering a Scenario team from an agent through MCP: restricting which models a team or project can run (model access control, allowlist, blocklist), inviting or removing team and project members, changing roles, capping a member's Creative Unit spend, creating or deleting projects, auditing API keys and their roles or scopes, or attributing consumption per user or model. Keywords: governance, model control, consumption cap, spend limit, API key hygiene, team admin, enterprise.
Instalare
npx skills add scenario-labs/skills --skill scenario-team-admin -a claude-code
Se instalează în .claude/skills/scenario-team-admin/ · 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
Proveniență77
Întreținere100
Licență100
Adopție50
Fișiere (1)
- SKILL.md