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.
49.404 skill-uri din 2.375 de depozite · actualizat acum 18 minute
49.404 skill-uri
- inkboxLeoYeAI/agent-master-skillsSend and receive emails and phone calls via Inkbox agent identities. Use when the user wants to check inbox messages, list unread email, view a thread, search mailbox contents, draft/send an email, place an outbound phone call, list call history, retrieve call transcripts, manage vault credentials, or create/set up an Inkbox identity.ProductivitateFără avertismente★ 2,2 K↓ —
- mandat-schliessenKlotzkette/claude-fuer-deutsches-rechtFür Mandat schließen: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- auditrechteKlotzkette/claude-fuer-deutsches-rechtFür Auditrechte: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: AGB-Recht-Prüfer. Route: auditrechte.AlteleFără avertismente★ 1,8 K↓ —
- stageshowNousickn33/agentic-awesome-skillsCreate React product illustrations and cursor demos using a reusable UI kit, examples, motion guidance, and visual verification tools.DesignFără avertismente★ 49,1 K↓ —
- chief-information-officercbrock84/headcountThe CIO's remit — running the technology the company works on, service quality, IT spend, and the boundary with product engineering. Use this to set IT priorities, decide what IT owns versus engineering, structure IT spend or an IT roadmap, judge whether to build, buy or outsource, or work out why IT is seen as a cost center rather than an enabler.PlanificareFără avertismente★ 2,6 K↓ —
- kaltstart-triageKlotzkette/claude-fuer-deutsches-rechtFür Kaltstart Triage: routet Rolle, Frist, Unterlagen und Fachschritt; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: Betreuungsrecht.AlteleFără avertismente★ 1,8 K↓ —
- agentlas-stormagentlas-ai/Agentlas-OSUse when the user types /agentlas-storm, /agentlas storm, /hep-storm, or says @Hephaestus storm <goal> to drive a goal through the force-robust Stormbreaker loop with real Agentlas specialists.PlanificareFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- trend-discoveryScrapeCreators/social-media-research-skillsUse when the user wants to discover trending social topics, hashtags, sounds, posts, reels, shorts, creators, or formats in a niche. Searches public trend and discovery endpoints, ranks evidence, and turns trends into practical content angles.AlteleFără avertismente★ 5,4 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↓ —
- ux-designdaveebbelaar/bamaUX pass for one feature of a macOS app, covering names, flow, where it opens (inline, popover, sheet, window, alert), states, words, hover help, accessibility, and AI features. Use before coding a story that adds a screen, an action, or text, when user-stories or improve-loop call it, or when the user asks for a UX review, clearer wording, better names, or whether something should be a modal.DesignFără avertismente★ 1,5 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↓ —
- 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↓ —
- build-and-verifydaveebbelaar/bamaBuild a SwiftUI macOS app from the command line, install it, and check light and dark window snapshots of every page before calling a change done. Use after any UI code change, when a build fails, or when the user asks to run, screenshot, or check the app.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★ 11,3 K↓ —
- hep-browseragentlas-ai/Agentlas-OSUse the Agentlas browser hardpoint for browser-required work.BrowserFără avertismente★ 1,6 K↓ —
- repairhashgraph-online/awesome-codex-pluginsSafe maintenance for an existing docflow setup. Regenerates INDEX.md, installs or refreshes recognized DocFlow-managed helper scripts, runs link checks, and reports placeholder/validation issues. Use when docflow exists, after adding or renaming docs, or when doctor recommends repair.AlteleFără avertismente★ 1,5 K↓ —
- os-integrationsdaveebbelaar/bamaDeep macOS integrations for a native app, such as global hotkeys, menu bar items, floating panels, window control with Accessibility, screen capture and recording, clipboard, Shortcuts and Spotlight, URL schemes, login items, a CLI, and the permissions each one needs. Use when an app must reach outside its own window or control other apps.InginerieFără avertismente★ 1,5 K↓ —
- setupmicrosoft/power-platform-skillsUse when Process Intelligence needs building, explicit cloud/account/environment configuration, sign-in, connection diagnostics, or recovery from an authentication error.AlteleFără avertismente★ 1,1 K↓ —
- preview-screensmicrosoft/power-platform-skillsUse when the user wants to preview generated screens in a browser without starting Metro / a simulator — for example after /create-mobile-app finishes or after /edit-app regenerates a screen.BrowserFără avertismente★ 1,1 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↓ —
- list-connectionsmicrosoft/power-platform-skillsLists Power Platform connections in the current environment. Use when you need a connection ID before adding a connector to a code app.InginerieFără avertismente★ 1,1 K↓ —
- swift-swiftuidaveebbelaar/bamaSwift 6 and SwiftUI code rules for macOS apps, including concurrency, state, SwiftData, AppKit bridges, and fixes for common compiler errors. Use when writing, reviewing, or debugging Swift code in a Mac app, or on concurrency, Sendable, or "not in scope" errors.RedactareFără avertismente★ 1,5 K↓ —
- rag-architectActualizatalirezarezvani/claude-skillsDesign a RAG pipeline: chunk size, embedding model, vector database and retrieval quality metrics. Use whenever the user builds search over their docs, picks a vector store or finds answers miss the right context.PlanificareFără avertismente★ 29,2 K↓ —
hypothesis-generation
K-Dense-AI/scientific-agent-skills
ȘtiințăActualizat alaltăieri
De la autor
Formulates evidence-bounded scientific questions, candidate hypotheses, rival explanations, causal or associational claims, discriminating predictions, measurements, and preregistration-ready analysis plans. Used when turning observations or preliminary findings into transparent, testable research plans without treating hypotheses as facts.
Instalare
npx skills add K-Dense-AI/scientific-agent-skills --skill hypothesis-generation -a claude-code
Se instalează în .claude/skills/hypothesis-generation/ · 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
Rulează scripturile incluseNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 89
Securitate85
Proveniență95
Întreținere100
Licență100
Adopție73
Fișiere (27)
- SKILL.md
- assets/evidence_ledger_template.csv
- assets/falsification_controls_template.json
- assets/hypothesis_record_template.json
- assets/operationalization_template.json
- assets/prediction_rival_matrix_template.csv
- assets/preregistration_scaffold_template.md
- assets/search_boundary_template.json
- assets/source_ledger.csv
- references/causal_inference_and_claims.md
- references/concepts_and_workflow.md
- references/ethics_safety_and_ai.md
- încă 15