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.
49.417 skill-uri din 2.407 depozite · actualizat acum 5 minute
49.417 skill-uri
- oma-academic-writingNoufirst-fluke/oh-my-agentDraft and revise academic prose against a rubric, evidence, and citation requirements. Use for essays, reports, literature reviews, or academic style audits.RedactareFără avertismente★ 1,4 K↓ —
- capturealirezarezvani/claude-skillsUse whenever the user unloads a messy brain dump of ideas, tasks and plans ('capture this', 'brain dump', a long unstructured paste) and wants it organized. Sorts it with dump_classifier.py into projects, tasks and connections with nothing lost.PlanificareFără avertismente★ 29,3 K↓ —Apare și în 1 alt depozit
- oma-skill-creationNoufirst-fluke/oh-my-agentCreate or revise OMA skills and their references. Use for skill routing, execution contracts, conditional loading, and authoring validation.AlteleFără avertismente★ 1,4 K↓ —
- layout-gridActualizatdaveebbelaar/bamaGrid and alignment rules for a macOS SwiftUI app, with three checks that catch misalignment (a lint for off-grid numbers, a layout probe that measures real frames in snapshot mode, and a grid overlay). Use when building or reviewing a custom page, card, row, form, or sheet, after every build that touched layout, or when the user says something looks misaligned, crooked, cramped, or unevenly spaced.AlteleFără avertismente★ 1,6 K↓ —
- oma-coordinationNoufirst-fluke/oh-my-agentCoordinate assigned specialist tasks and handoffs manually. Use when supervising a multi-agent project step by step.PlanificareFără avertismente★ 1,4 K↓ —
- oma-architectureNoufirst-fluke/oh-my-agentEvaluate system boundaries and architectural tradeoffs. Use for architecture decisions, design reviews, and ADRs.PlanificareFără avertismente★ 1,4 K↓ —
- oma-scholarfirst-fluke/oh-my-agentScholarly research companion using Knows sidecar spec (.knows.yaml). Generates, validates, reviews, queries, and compares structured research-paper sidecars, and fetches them from knows.academy. Use for academic literature search, survey synthesis, paper authoring assistance, and peer review with token-efficient claim/evidence/relation access.ȘtiințăFără avertismente★ 1,4 K↓ —
- oma-docsNoufirst-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↓ —
- oma-academic-writingfirst-fluke/oh-my-agentDraft and revise academic prose against a rubric, evidence, and citation requirements. Use for essays, reports, literature reviews, or academic style audits.RedactareFără avertismente★ 1,4 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↓ —
- oma-architecturefirst-fluke/oh-my-agentEvaluate system boundaries and architectural tradeoffs. Use for architecture decisions, design reviews, and ADRs.PlanificareFără avertismente★ 1,4 K↓ —
- oma-explanationfirst-fluke/oh-my-agentCreate an offline HTML explanation of a code change (diff, PR, branch) or of a topic, system, or question. Use when a visual walkthrough document is requested.InginerieFără avertismente★ 1,4 K↓ —
- oma-securityfirst-fluke/oh-my-agentScan application source, agent skills, and MCP components; run penetration tests against scoped web test deployments, validate findings, and configure scan gates. Use oma-qa for broad quality reviews and domain skills for remediation.SecuritateFără avertismente★ 1,4 K↓ —Apare și în 1 alt depozit
- 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↓ —
- 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-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↓ —
- oma-dbfirst-fluke/oh-my-agentDesign schemas and migrations, tune queries, or plan vector retrieval and database operations. Application API implementation uses oma-backend.DateFără avertismente★ 1,4 K↓ —
- searchtaishi-i/awesome-japanese-nlp-resourcesSearch all Japanese NLP resources (libraries, models, datasets, tutorials, dictionaries, Hugging Face). Accepts keywords or natural language questions in any language. Use whenever the user asks which Japanese NLP resource to use, or wants to find one: tokenizers / morphological analyzers, BERT or LLM models, embeddings, NER, text classification, datasets / corpora, dictionaries, tutorials, or Hugging Face models. Trigger phrases include '日本語の形態素解析ライブラリ', 'おすすめの日本語tokenizer', '日本語BERTモデル', '日本語の感情分析データセット', '日本語LLM 一覧', 'which Japanese embedding model', 'Japanese NER library'.AlteleFără avertismente★ 1 K↓ —
- triggershashgraph-online/awesome-codex-pluginsCreate and manage triggers that watch for something (a job that finishes, a service that goes down, a failing CI run, a new release, a price crossing a threshold) and hand a task to Codex when it happens. Use when the user wants to be told, or wants something done, "when X happens", and when handling a message that starts with [self-starter].ProductivitateFără avertismente★ 1,5 K↓ —
- design-tokenshashgraph-online/awesome-codex-pluginsUse when the user asks for design tokens, DTCG tokens, theme systems, color/typography/spacing/radius/elevation/motion tokens, translating tokens, exporting tokens, making a Compose color scheme from a palette, auditing tokens, or sharing a single token source across web and native. Generates, audits, and translates W3C DTCG tokens to Tailwind v4 @theme, CSS variables, Compose Material3 ColorScheme/Typography, SwiftUI Color/Font extensions, and WinUI ResourceDictionary while preserving semantic naming and platform constraints. SKIP when no token/theme-system work is involved.DesignFără avertismente★ 1,5 K↓ —
- design-routerhashgraph-online/awesome-codex-pluginsUse when the user asks to build, design, mock up, scaffold, audit, translate, or improve any interface, flow, screen, page, component, app, UX, onboarding, checkout, dashboard workflow, product flow, design system, asset plan, motion plan, or non-generic UI and the target platform or flow is ambiguous. Routes to ux-design, web, Windows, Apple, Android, cross-platform, design-token, originality, asset/reference, and platform skills. SKIP when the request explicitly names one platform and no UX flow work is implied.DesignFără avertismente★ 1,5 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
- book-drafthashgraph-online/awesome-codex-pluginsPhase 3: Drafting. Voice lock on a sample chapter, then sequential full-context chapter drafting with draft-critique-revise, bible ledger updates, and periodic continuity checks.ProductivitateFără avertismente★ 1,5 K↓ —
clean-architecture
ciembor/agent-rules-books
PlanificareActualizat 10 sept. 2026
De la autor
Apply Robert C. Martin-inspired architecture rules when separating business policy from frameworks, databases, UI, or infrastructure details.
Instalare
npx skills add ciembor/agent-rules-books --skill clean-architecture -a claude-code
Se instalează în .claude/skills/clean-architecture/ · 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
Proveniență82
Întreținere85
Licență100
Adopție56
Fișiere (4)
- SKILL.md
- clean-architecture.md
- clean-architecture.mini.md
- clean-architecture.nano.md