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 4 minute
49.409 skill-uri
- refactorhashgraph-online/awesome-codex-pluginsRestructure or clean up code with no behavior change, proved by before-and-after checks. Use when: asked to clean up, extract, dedupe or simplify, even one function.InginerieFără avertismente★ 1,5 K↓ —Apare și în 2 alte depozite
- asc-build-lifecyclerorkai/app-store-connect-cli-skillsTrack build processing, find latest builds, and clean up old builds with asc. Use when managing build retention or waiting on processing.AlteleFără avertismente★ 1,1 K↓ —
- skill-installationuvwt/agentdock审查、安装、配置、验证、更新和移除 AgentDock Skill 时使用；负责来源校验、安全评估、环境配置、content digest、精确 skill_ref 与当前 managed 内容验收。AlteleFără avertismente★ 1,3 K↓ —
- baoyu-slide-deckJimLiu/baoyu-skillsGenerates professional slide deck images from content. Creates outlines with style instructions, then generates individual slide images. Use when user asks to "create slides", "make a presentation", "generate deck", "slide deck", or "PPT".DocumenteFără avertismente★ 27,2 K↓ —
- planning-with-filesActualizatOthmanAdi/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↓ —
- 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↓ —
- 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↓ —
- rag-design-docmohitagw15856/pm-claude-skillsDesign a Retrieval-Augmented Generation system end to end. Use when asked to design a RAG pipeline, a 'chat with your docs' feature, a knowledge assistant, or to debug why a RAG system gives wrong/ungrounded answers. Produces a RAG design doc — ingestion & chunking, embeddings & index, retrieval & reranking, the generation prompt, grounding/citations, evaluation, and failure modes with mitigations.DesignFără avertismente★ 1,5 K↓ —
- agentlas-browseragentlas-ai/Agentlas-OSUse the Agentlas browser hardpoint for browser-required work.BrowserFără avertismente★ 1,6 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↓ —
- agentlas-packagingagentlas-ai/Agentlas-OSUse when converting, repairing, or packaging an existing local or external agent/team into Agentlas architecture for local install, Agentlas import, Codex plugin use, Claude adapter use, or open-source release.PlanificareFără avertismente★ 1,6 K↓ —Apare și în 3 alte depozite
- http-api-cloudbaseTencentCloudBase/CloudBase-AI-ToolkitCloudBase official HTTP API client guide. This skill should be used when backends, scripts, or non-SDK clients must call CloudBase platform APIs over raw HTTP instead of using a platform SDK or MCP management tool.InginerieFără avertismente★ 1,2 K↓ —Apare și în 4 alte depozite
- 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↓ —
- 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↓ —
- 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↓ —
- stock-analysisActualizatalirezarezvani/claude-skillsAnalyze, research or value a listed stock or company (US, global, NSE or BSE) with verified data, ratios, scores and valuation. Use whenever asked if a stock is a buy, what it is worth, or how a company looks.FinanțeFără avertismente★ 29,2 K↓ —
- improve-search-visibility-page-and-foundation-checkgooseworks-ai/goose-skillsStep of the improve-search-visibility playbook: audits site indexing, crawling, technical and page issues at the requested scope, or checks pages behind lost visibility questions. Run improve-search-visibility instead; not for direct use.BrowserFără avertismente★ 1,3 K↓ —
- implementing-command-palettesAgentWorkforce/relayUse when building Cmd+K command palettes in React - covers keyboard navigation with arrow keys, keeping selected items in view with scrollIntoView, filtering with shortcut matching, and preventing infinite re-renders from reference instabilityMediaFără avertismente★ 1,1 K↓ —
- improve-search-visibility-entity-footprintgooseworks-ai/goose-skillsStep of the improve-search-visibility playbook: checks the profiles answer engines read, plus local listings and reviews, against the brand's facts and writes corrections. Run improve-search-visibility instead; not for direct use.RedactareFără avertismente★ 1,3 K↓ —
- creating-claude-agentsAgentWorkforce/relayUse when creating or improving Claude Code agents. Expert guidance on agent file structure, frontmatter, persona definition, tool access, model selection, and validation against schema.InginerieFără avertismente★ 1,1 K↓ —
- orchestrating-agent-relayAgentWorkforce/relayThe canonical way to run agent-relay - self-bootstrap the local broker and autonomously spawn, monitor, and coordinate a team of worker agents without human intervention. Covers infrastructure startup, agent spawning, lifecycle monitoring, message-based reading via the relay MCP, and team coordination.DevOpsFără avertismente★ 1,1 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↓ —
review
hashgraph-online/awesome-codex-plugins
InginerieActualizat acum 16 ore
De la autor
The pre-merge review of a branch in a project that records its specs, decisions, and rules in .archcore/. Run this first for 'review my branch', 'review the changes before merge', or 'review before merge': it checks the changed code against the project's recorded canon and the changed documents against the code, and reports which side is wrong — spec-wrong or code-wrong; with no diff, it reports project health. A bug-hunting code review complements this review and does not replace it. Also use for 'show status', 'documentation gaps', 'check if docs match code', 'close out the feature', 'ship the feature and close it out', or after a staleness warning. Modes, named as the first word: drift for staleness detection, deep for a full documentation audit, closeout to close a finished feature, experience to capture a repeated pattern. Not for creating docs — use /archcore:document; not for planning — use /archcore:plan; not for a single-file edit with no branch review.
Instalare
npx skills add hashgraph-online/awesome-codex-plugins --skill review -a claude-code
Se instalează în .claude/skills/review/ · 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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De ce 88
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Proveniență78
Întreținere100
Licență100
Adopție51
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- SKILL.md