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 41 de minute
49.408 skill-uri
- plain-writingNouhashgraph-online/awesome-codex-pluginsMakes every report a Mobbin skill writes read like a person wrote it, in plain interface terms. Use only when a Mobbin skill writes prose for the user or asks for this skill by name; not for writing outside Mobbin skills. Removes the tells of AI-generated writing (em dashes, puffery, design buzzwords, rule-of-three, sign-offs) without changing a fact or adding one.RedactareFără avertismente★ 1,5 K↓ —
- 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
- onboarding-croalirezarezvani/claude-skillsUse when activation, time-to-value or a first-run experience after signup needs work, before redesigning it. Finds the activation drop-off with activation_funnel_analyzer.py.MarketingFără avertismente★ 29,2 K↓ —
- stage-launchalirezarezvani/claude-skillsUse when a managed-agent build sheet is ready to launch ('launch it', 'deploy the agent'). Generates and validates API payloads with payload_generator.py and payload_validator.py and writes a resumable curl script with launch_script_writer.py that uses the user's own key.DevOpsFără avertismente★ 29,2 K↓ —
- brooks-debthyhmrright/brooks-lintTech debt assessment that identifies, classifies, and prioritizes maintainability problems — helping teams build a refactoring roadmap — drawing on twelve classic engineering books. Triggers when: user asks about tech debt, refactoring priorities, what to clean up first, or asks "why is this so hard to change?", "what should we fix first?", or "how do I justify refactoring to management?". Do NOT trigger for: server health checks, HTTP /health endpoints, Kubernetes probes, database health, or application uptime — "health" in those contexts is infrastructure, not code quality. Also not for single-function refactoring questions.DevOpsFără avertismente★ 1,6 K↓ —
- minutes-lintsilverstein/minutesHealth-check your meeting knowledge for contradictions, stale commitments, and decision conflicts. Use when the user asks "any conflicts in my meetings", "check for stale action items", "lint my meetings", "consistency check", "are there contradictions", or wants to audit their decision history.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- mcp-maintainerhoangsonww/Claude-Code-Agent-MonitorOperate and maintain the local MCP server for this repository. Use for MCP tool updates, policy-guard changes, host configuration, and MCP runtime troubleshooting.AlteleFără avertismente★ 1,1 K↓ —Apare și în 1 alt depozit
- deploymicrosoft/power-platform-skillsBuilds and deploys a Power Apps code app to Power Platform. Use when deploying changes, redeploying an existing app, or pushing updates.DevOpsFără avertismente★ 1,1 K↓ —
- threat-detectionalirezarezvani/claude-skillsUse when hunting threats, sweeping IOCs or looking for anomalies in logs and telemetry. Ranks ATT&CK-mapped signals and z-score anomalies with threat_signal_analyzer.py.AlteleFără avertismente★ 29,2 K↓ —
- resolve-relative-timesno-ai/sno-stationUnderstand temporal meaning in context without performing calendar arithmetic.ProductivitateFără avertismente★ 1,1 K↓ —
- judge-retired-positionsno-ai/sno-stationJudge whether one stored row states a retired profile position as current.AlteleFără avertismente★ 1,1 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↓ —
- 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↓ —
- 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; agent instructions read selected project planning context when invoked. 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. This adapter registers no lifecycle or Stop hook, never requests continuation, 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↓ —
- orchestratehashgraph-online/awesome-codex-pluginsCoordinate several workers: what idle agents do next, which finished work gets checked first, how to recover a dead one. Use when: managing multiple agents.AlteleFără avertismente★ 1,5 K↓ —Apare și în 2 alte depozite
- laravel-tddhashgraph-online/awesome-codex-pluginsTest-driven development for Laravel with PHPUnit and Pest, factories, database testing, fakes, and coverage targets.TestareFără avertismente★ 1,5 K↓ —
- perfhashgraph-online/awesome-codex-pluginsPerformance optimizer for loops, DB queries, rendering, and batch operations. Catches N+1 queries, missing indexes, and unnecessary re-renders.MediaFără avertismente★ 1,5 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↓ —
- 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↓ —
- figmaopenai/skillsUse the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.OficialDesignFără avertismente★ 28,5 K↓ —Apare și în 2 alte depozite
- research-competitors-category-passgooseworks-ai/goose-skillsStep of the research-competitors playbook: the worker brief covering the whole category, including searches, AI answers, community threads and category ad winners. Run research-competitors instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
llm-runtime-architecture
agentlas-ai/Agentlas-OS
De la autor
Use when designing how one canonical agent core runs across Codex, Claude Code, Gemini CLI, Cursor, and AGENTS.md-compatible tools.
Instalare
npx skills add agentlas-ai/Agentlas-OS --skill llm-runtime-architecture -a claude-code
Se instalează în .claude/skills/llm-runtime-architecture/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 88
Fișiere (1)
- SKILL.md