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 2 ore
49.492 de skill-uri
- cloudbase-agentActualizatTencentCloudBase/CloudBase-AI-ToolkitBuild and deploy AI agents with CloudBase Agent SDK (TypeScript & Python). Implements the AG-UI protocol for streaming agent-UI communication. Use when deploying agent servers, using LangGraph/LangChain/CrewAI adapters, building custom adapters, understanding AG-UI protocol events, or building web/mini-program UI clients. Supports both TypeScript (@cloudbase/agent-server) and Python (cloudbase-agent-server via FastAPI).DevOpsFără avertismente★ 1,2 K↓ —Apare și în 5 alte depozite
- tos-decodermohitagw15856/pm-claude-skillsDecode a terms of service or privacy policy into what you're actually agreeing to, ranked by real-world impact. Use when someone asks 'what am I agreeing to', 'decode this privacy policy', 'is this ToS bad', or 'should I click accept'. Produces a ranked findings table with a 'should I care?' verdict per finding, covering data resale, arbitration and class-action waivers, unilateral changes, content licenses, and what deletion really means.AlteleFără avertismente★ 1,5 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↓ —
- 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★ 29,3 K↓ —
- key-state-attributesno-ai/sno-stationChoose one offered state attribute for a stored statement about a named thing.AlteleFără avertismente★ 1,1 K↓ —
- video-skillsNouhashgraph-online/awesome-codex-pluginsFinds the right agent skill for an AI video, image, voice or music job on varg how to (varg.ai/how-to, 2,000+ checked skills and tutorials: UGC ads, product videos, music videos, captions, talking avatars, podcasts, faceless channels, explainers, launch videos, chat-story ads, dubbing, shorts from long videos) and shows the visual options before anything is generated. Use when someone asks to make, edit, caption, voice, dub or animate a video, asks "which skill should I use", "find a skill for", "how do I make a ... video", or wants images, voiceover or music for a video, and no installed skill already covers that format; use it before writing a pipeline from scratch or searching registries. Not for running a generation itself (use varg-ai), not for formats with their own varg skill (varg-music-video, varg-character-keynote, varg-consistent-characters, varg-character-design, varg-podcast-video, varg-product-hook, varg-dropship-reel, varg-previz), and not for non-media coding tasks.MediaFără avertismente★ 1,5 K↓ —
- add-oneclinanocoai/nanoclawInstall or refresh OneCLI as NanoClaw's gateway provider. Use when setup selects OneCLI, an existing OneCLI-backed install is migrated to the gateway seam, or its runtime, approval bridge, setup, and agent guidance must be restored from the in-tree package.AlteleFără avertismente★ 31,1 K↓ —
- mcp-attribution-worktreeTencentCloudBase/CloudBase-AI-ToolkitTriage, repair, and close MCP attribution issues from the local report API with evidence-driven decisions and isolated Worktrunk worktrees. Use this skill when Codex needs to process `tool` attribution issues and skills-related attribution issues, inspect related runs, decide whether the issue is actionable in `mcp/src` or `config/source/skills`, update attribution fields as `owner=codex`, and then complete the fix loop through GitHub issue tracking, worktree-based code changes, PR submission, and follow-up iteration when the problem is repairable.InginerieFără avertismente★ 1,2 K↓ —
- bamadaveebbelaar/bamaBuild any Mac app. Start here to pick the next skill for a native macOS app.AlteleFără avertismente★ 1,5 K↓ —
- edit-appmicrosoft/power-platform-skillsUse when the user wants to iterate on an existing generated Power Apps mobile app after /create-mobile-app: update Application Insights configuration, the plan, data model, native capabilities, design, screens, generated app code, and preview without restarting the full project flow. Natural-language triggers include 'the app already exists', 'edit my app', 'change this screen', and 'add a feature to this app'.RedactareFără avertismente★ 1,1 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
- skill-authoringTencentCloudBase/CloudBase-AI-ToolkitDesign, improve, and evaluate reusable agent skills with high-quality SKILL.md files, precise trigger descriptions, progressive disclosure, and testable behavior. This skill should be used when users ask to create a new skill, rewrite or review an existing skill, audit a skill collection such as `config/source/skills` for redundancy or overlap, improve skill trigger quality, organize skill references, or evaluate whether a skill should trigger and behave correctly.DesignFără avertismente★ 1,2 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↓ —
- write-outreachgooseworks-ai/goose-skillsCold outreach a person sends to business buyers: email and LinkedIn sequences, a first line per prospect, reply and objection answers, and a read of replies. Use when the marketer says "write a cold email sequence", "what do I send to this list", "write LinkedIn messages for these leads", "how do I reply to this prospect" or "handle this objection", "reply to this demo request", "win back or reconnect with accounts that churned or went quiet", or "why is nobody replying to my outreach". Drafts only; the marketer sends from their own tool. Not for finding the people — use research-audience; not for emails to subscribers or users, or consumer win-back — use email-lifecycle.RedactareFără avertismente★ 1,3 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↓ —
- lower-my-billmohitagw15856/pm-claude-skillsNegotiate a recurring bill down — internet, phone, insurance, cable, gym — with a ready-to-read script, the competitor leverage that actually moves the price, and exactly what to say when they say no. Use when asked to lower my bill, negotiate my internet/phone bill, my provider raised my price, or how do I get a discount on [service]. Produces a call-or-chat script in your words, the specific leverage for your situation, a fallback ladder (discount → downgrade → cancel lever), and a note of what to write down so the promised deal actually sticks.RedactareFără avertismente★ 1,5 K↓ —
- title-tagkostja94/marketing-skillsWhen the user wants to write, audit, or optimize an HTML title tag, SEO title, page title, SERP title, browser-tab title, duplicate title, or title rewrite issue. For a sitewide metadata lifecycle including implementation and production validation, use page-metadata.BrowserFără avertismente★ 1,1 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↓ —
- commercial-policyalirezarezvani/claude-skillsUse when writing or revising discount rules: discount matrix, approver thresholds, exception flows and the deal framework sales works under. Builds the matrix with discount_matrix_builder.py, routes exceptions with exception_router.py and checks the policy with policy_linter.py.RedactareFără avertismente★ 29,3 K↓ —
- telemetrymicrosoft/power-platform-skillsUse this skill when the user wants to enable, disable, turn on or off, opt out of, opt in to, or check the status of power-automate telemetry / usage data. Triggers: "disable telemetry", "turn off telemetry", "opt out of telemetry", "stop collecting usage data", "enable telemetry", "telemetry status".AlteleFără avertismente★ 1,1 K↓ —
- debug-broken-uireticlehq/reticleFind out why something in a running web app does not work, when the console is empty and the code looks correct. Reads the click, the request, the store and the console together and returns the file:line to open. Use when a button does nothing, a form will not submit, data will not load, a page renders blank or stale, a modal will not close, or the user says "it's broken" and the code review says it is fine.DesignFără avertismente★ 1,3 K↓ —
- drive-desktop-appreticlehq/reticleDrive and verify an Electron or Tauri desktop app from the inside, including the main-process and Rust IPC calls a browser tool cannot see. Use when a desktop app needs testing, when a feature works in the browser but not in the packaged app, when an IPC or invoke call needs proving, when a desktop screenshot or visual diff is wanted, or when you need a headless run of a desktop UI in CI.TestareFără avertismente★ 1,3 K↓ —
- oma-skill-creatorfirst-fluke/oh-my-agentCreate or update OMA skills in the SSL-lite human-readable format. Use when adding a new `.agents/skills/{skill-name}/SKILL.md`, converting an existing skill to the standardized Scheduling / Structural Flow / Logical Operations / References structure, or validating whether a skill has enough routing, execution, resource, and safety detail.AlteleFără avertismente★ 1,4 K↓ —
nsdi-experiments
brycewang-stanford/Awesome-Journal-Skills
DevOpsActualizat 27 sept. 2026
De la autor
Use when designing or auditing the evaluation of an NSDI submission — choosing traces, testbeds, and deployment evidence, sizing scale and failure-injection experiments, picking baselines that fight back, and reporting tail behavior so networked-systems reviewers can see where the design wins, loses, and breaks.
Instalare
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill nsdi-experiments -a claude-code
Se instalează în .claude/skills/nsdi-experiments/ · 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
Proveniență77
Întreținere100
Licență100
Adopție50
Fișiere (1)
- SKILL.md