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.
49.492 de skill-uri din 2.391 de depozite · actualizat acum 12 ore
49.492 de skill-uri
- judge-rem-memory-updatessno-ai/sno-stationJudge REM memory relations, rewrites, verification, and clause carry by meaning. Use for REM update model calls that decide which older facts are superseded, which facts remain current, and whether a proposed rewrite preserves all surviving facts.ProductivitateFără avertismente★ 1,1 K↓ —
- extract-atomic-memorysno-ai/sno-stationRead one conversation window and return every independently mutable claim it states, one record each, with who or what it is about, whether it happened or stands, and the words that carry its time. Used by the memory extraction model on every conversation window; the engine resolves dates, validates keys, and repairs format.ProductivitateFără avertismente★ 1,1 K↓ —
- apology-lettermohitagw15856/pm-claude-skillsWrite a sincere, effective apology to a customer, group, or the public. Use when asked to write an apology, say sorry to a customer or community, make amends after a mistake, or respond to a complaint with an apology. Produces a genuine apology — acknowledgement, taking responsibility, empathy for the impact, the concrete fix and prevention, and an offer to make it right — in the right tone, without excuses or non-apologies.RedactareFără avertismente★ 1,5 K↓ —
- oma-architecturefirst-fluke/oh-my-agentArchitecture specialist for software/system design, module and service boundaries, tradeoff analysis, and stakeholder synthesis. Uses context-aware methods such as diagnostic routing, design-twice comparison, ATAM-style risk analysis, CBAM-style prioritization, and ADR-style decision records.PlanificareFără 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↓ —
- 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-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↓ —
- 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
- 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
- config-audithoangsonww/Claude-Code-Agent-MonitorRun a full audit of the user's Claude Code configuration via the Agent Monitor Config Explorer API: counts per surface (user vs project), duplicate or overlapping skills and subagents, hooks that run shell commands, and which surfaces are read-only vs mutable. Reads /api/cc-config/overview, /skills, /agents, /commands, /hooks, and /settings. Use when reviewing your Claude Code setup for sprawl, duplication, or risk.InginerieFără avertismente★ 1,1 K↓ —
- ecommerce-visual-copywritingfeichanggege/ecommerce-visual-copywriting-skill将商品资料、包装与资质、目标平台、目标人群和视觉参考转成可执行的电商视觉方案，包括转化策略、Campaign Style Lock、主图/详情页/Listing/A+ Storyboard、图内文案、设计说明、生图 Prompt、证据与合规审查。适用于淘宝、天猫、京东、拼多多、抖音小店、小红书、视频号/微信小店，以及 Amazon、Shopify、TikTok Shop、Temu、Shopee、Lazada；用户需要商品图、详情页、图内文案、设计师执行稿或跨境商品本地化时使用。不适用于纯短视频/直播话术、投放与店铺运营优化、需律师出具的最终法律结论（可做风险筛查）；不自动上架或发布。不得编造资质、数据、销量、评价、认证或功效；涉及当前平台规则或高风险合规结论时核验官方来源。MarketingFără avertismente★ 1 K↓ —
- memory-reviewhoangsonww/Claude-Code-Agent-MonitorReview the file-based memory store via the Agent Monitor Config Explorer API: the user and project CLAUDE.md plus per-project auto-memory files under ~/.claude/projects/<slug>/memory/*.md. Groups by project, shows the index (MEMORY.md) vs per-fact files, and flags stale or oversized facts. Reads /api/cc-config/memory and /api/cc-config/file?path=. Use when curating agent memory.InginerieFără avertismente★ 1,1 K↓ —
- ap-janitorSpielewoy/autoprompt-skillReport the compatibility redirect to `C0`; this retired role cannot perform new work.AlteleFără avertismente★ 1,2 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↓ —
- ap-plannerSpielewoy/autoprompt-skillReport the compatibility redirect to `ap-roadmap-author`; this retired role cannot perform new work.PlanificareFără avertismente★ 1,2 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↓ —
- create-prfcakyon/claude-codex-settingsThis skill should be used when user asks to "create a PR", "make a pull request", "open PR for this branch", "submit changes as PR", "push and create PR", or explicitly invokes "create-pr".InginerieFără avertismente★ 1,2 K↓ —
- analytics-trackingkostja94/marketing-skillsCompatibility pointer for GA4 event, key-event and User-ID tracking; maintained in Open Analytics.DateFără avertismente★ 1,1 K↓ —
- skillhashgraph-online/awesome-codex-pluginsA curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The #1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-pluginsAlteleFără avertismente★ 1,5 K↓ —
- ai-model-webActualizatTencentCloudBase/CloudBase-AI-ToolkitUse this skill when a browser/Web app (React, Vue, Next, Nuxt, static sites, SPAs, dashboards, AI chat UI, 页面, 前端, 网页) needs AI models via @cloudbase/js-sdk. Default routing for Web/frontend AI — call directly from the browser, do NOT propose a Node.js proxy. Covers generateText and streamText; models via ai.createModel with groups cloudbase, the legacy hunyuan-v3 / hunyuan-exp, or custom-*, model id in the `model` field. MUST run two-step preflight before code — see body. NOT for Node.js backend (use ai-model-nodejs), Mini Program (use ai-model-wechat), or image generation (Node SDK only).DesignFără avertismente★ 1,2 K↓ —Apare și în 4 alte depozite
- architectNouhashgraph-online/awesome-codex-pluginsSettle structure before writing logic. Ground in the current code, get competing design sketches (types, signatures, modules, trust boundaries) through arena, implement against the merged sketch, scrap it on a friction pattern. Use for "architect this", "design X first".PlanificareFără avertismente★ 1,5 K↓ —
nist-800-53
Sushegaad/Claude-Skills-Governance-Risk-and-Compliance
SecuritateActualizat 10 oct. 2026
De la autor
NIST SP 800-53 Rev 5 compliance advisor — all 20 control families (AC, AT, AU, CA, CM, CP, IA, IR, MA, MP, PE, PL, PM, PS, PT, RA, SA, SC, SI, SR), Low/Moderate/High baseline selection, FIPS 199/200 system categorization, control tailoring and overlays, privacy controls (PT family), supply chain risk management (SR family), assessment procedures (SP 800-53A), OSCAL, RMF integration (SP 800-37), and mapping to FedRAMP, FISMA, CMMC 2.0, and ISO 27001. Use for any federal system security controls, FISMA compliance, RMF step guidance, control narrative writing, or baseline tailoring question.
Instalare
npx skills add Sushegaad/Claude-Skills-Governance-Risk-and-Compliance --skill nist-800-53 -a claude-code
Se instalează în .claude/skills/nist-800-53/ · 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
Proveniență76
Întreținere100
Licență100
Adopție49
Fișiere (4)
- SKILL.md
- references/assessment-rmf.md
- references/baselines-tailoring.md
- references/control-families.md