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.
45.604 skill-uri din 2.205 depozite · actualizat acum 5 ore
44.573 de skill-uri
- linkedin-readerhimself65/finance-skillsRead LinkedIn for financial research through opencli: the user's feed, and job search with location, seniority, job type, remote, company, and date filters. Use this skill whenever the user wants to check their LinkedIn feed, see what professionals or analysts are posting about a company, market, or earnings, gauge professional sentiment, or search finance and trading jobs on LinkedIn. Read-only: it cannot post, like, comment, connect, message, or apply.MarketingFără avertismente★ 3,5 K↓ —
- finance-sentimenthimself65/finance-skillsFetch normalized stock sentiment across Reddit, X.com, financial news, and Polymarket from the Adanos Finance API: buzz score, bullish percentage, mention or trade counts, and trend. Use this skill whenever the user asks how much a stock is being discussed or how hot it is on social platforms, how many Reddit mentions or Polymarket bets a company has, whether Reddit, X, and news agree, or wants to compare stock buzz and sentiment across tickers. Read-only: it never places trades or modifies anything.FinanțeFără avertismente★ 3,5 K↓ —
- tao-finetune-clipNVIDIA/skillsCLIP vision-language model for image-text retrieval, zero-shot classification, embedding extraction, ONNX export, and TensorRT deployment. Use when fine-tuning or training CLIP, running zero-shot classification, computing image embeddings, or deploying CLIP to ONNX/TensorRT. This is a single-action model skill; do not use it for an iterative weak-attribute improvement loop that keeps retraining and evaluating until progress stops, which belongs to tao-run-deft-pas.DevOpsFără avertismente★ 3,7 K↓ —
- jetson-set-targetNVIDIA/skillsSwitch the active Jetson target-platform pointer to an existing profile YAML. Use before customize/build/flash to change target; not for authoring profiles — use jetson-init-target instead.AlteleFără avertismente★ 3,7 K↓ —
- ops-marketingdavepoon/buildwithclaudeMarketing command center. Email campaigns (Klaviyo), paid ads (Meta/Google), analytics (GA4), SEO, and social media metrics. One dashboard for all marketing channels.MarketingFără avertismente★ 3,7 K↓ —
- hsb-ip-create-topNVIDIA/skillsCreate or explain fixed-format HSB FPGA_top.sv wrappers from validated HOLOLINK_def.svh files. Do not use for def generation or validation.AlteleFără avertismente★ 3,7 K↓ —
- ops-integratedavepoon/buildwithclaudeAdd any SaaS API as a first-class integration. Provide the service name — ops-integrate discovers auth patterns, tests connectivity, and registers the API in your partner registry so it's available to other skills.TestareFără avertismente★ 3,7 K↓ —
- doca-socket-relayNVIDIA/skillsUse this skill when the operator is driving the DOCA Socket Relay to bridge a socket-oriented host application onto a BlueField DPU peer without rewriting it — picking the deployment shape (in-process, sidecar, or BlueField service container), configuring the host-side socket and the DPU-side forwarding endpoint, walking the bind → connect → round-trip → admit-fleet smoke, or diagnosing a stuck/silent relay. Trigger even when the user does not explicitly mention "DOCA Socket Relay" — typical implicit phrasings include "move my socket app onto the BlueField without rewriting it", "host app gets ECONNREFUSED on the relay", "relay accepts the connection but bytes never arrive on the DPU side", "first round-trip works, the rest hang", "bridge an AF_UNIX (UDS) socket to a DPU peer over Comch", or "I want a sidecar that forwards my socket to the BlueField". Refuse and route elsewhere for the comch programming API, line-rate raw packet I/O via doca-eth, and DOCA install/bring-up — those belong to other skills.DevOpsFără avertismente★ 3,7 K↓ —
- cdf-auto-labelingNVIDIA/skillsUse when a user needs to get started with CDF Auto-Labeling, plan a scenario, run or debug a shipped cookbook, author prompts or cookbooks, migrate a pipeline, configure a stage, or pull the prebuilt stage containers from NGC (nvcr.io). Confirm critical inputs (data path, output path, endpoints) and ask when any are missing. This is a router: read the matching reference instead of inventing a workflow.PlanificareFără avertismente★ 3,7 K↓ —
- awesome-chatgpttaishi-i/awesome-ChatGPT-repositoriesSearch this repository's awesome-ChatGPT-repositories list for open-source ChatGPT and LLM projects such as RAG frameworks, agents, chatbots, CLIs, prompts, and browser extensions. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, or AI development; not for editing or adding list entries.BrowserFără avertismente★ 3,3 K↓ —
- principle-never-block-on-the-humanmichael-denyer/pstack-claudeApply when tempted to ask 'should I do X?' on reversible work.AlteleFără avertismente★ 3,4 K↓ —
- ops-revenuedavepoon/buildwithclaudeRevenue and costs tracker. AWS spend via aws ce, credits tracker, project revenue stages. Shows burn rate, runway estimate, credits expiring.DevOpsFără avertismente★ 3,7 K↓ —
- orca-replaydavepoon/buildwithclaudeAnswers questions about a past agent run from its recording rather than from memory, and replays or forks that run. Use when asked why an earlier run did something, or to reproduce a failure.ProductivitateFără avertismente★ 3,7 K↓ —
- principle-foundational-thinkingmichael-denyer/pstack-claudeApply before writing logic: choosing core types and data structures, sequencing scaffold-vs-feature work, asking what concurrent actors share. Get the data structures right so downstream code becomes obvious.RedactareFără avertismente★ 3,4 K↓ —
- ops-triagedavepoon/buildwithclaudeCross-platform issue triage. Pulls from Sentry (MCP), Linear (MCP), GitHub Issues (gh). Cross-references against code to find already-fixed issues. Auto-resolves fixed ones. Dispatches agents for active issues.InginerieFără avertismente★ 3,7 K↓ —
- i4h-workflow-e2eNVIDIA/skillsRun the maintained workflow data-to-policy pipeline from recording through checkpoint validation. Use for full end-to-end requests; do not use for one individual stage.TestareFără avertismente★ 3,7 K↓ —
- ops-lineardavepoon/buildwithclaudeLinear command center. Shows current sprint, creates/updates issues, manages priorities, syncs with GSD phases.AlteleFără avertismente★ 3,7 K↓ —
- ops-statusdavepoon/buildwithclaudeLightweight green/red status panel for every configured integration. No gather, no actions.AlteleFără avertismente★ 3,7 K↓ —
- gsd:extract-learningsdavepoon/buildwithclaudeExtract decisions, lessons, patterns, and surprises from completed phase artifactsAlteleFără avertismente★ 3,7 K↓ —
- gsd:spikedavepoon/buildwithclaudeSpike an idea through experiential exploration, or propose what to spike next (frontier mode)AlteleFără avertismente★ 3,7 K↓ —
- i4h-lerobot-vizNVIDIA/skillsServe and visually inspect a converted LeRobot dataset in the browser. Use for videos and state/action timelines; do not use for raw workflow HDF5 or incomplete conversion output.BrowserFără avertismente★ 3,7 K↓ —
- startup-analysishimself65/finance-skillsAnalyze a startup from three perspectives — VC investor, job applicant, and CEO/founder — covering market, traction, unit economics, team, defensibility, runway, equity value, culture, and competitive position, with a verdict for each. Use this skill whenever the user wants to evaluate a startup or private tech company: due diligence, whether to invest in it or join it, weighing a startup job offer, company health, outlook, or competitive position, or open-ended asks such as "what do you think of [company]" or "research [company] for me".ȘtiințăFără avertismente★ 3,5 K↓ —
- gsd:milestone-summarydavepoon/buildwithclaudeGenerate a comprehensive project summary from milestone artifacts for team onboarding and reviewProductivitateFără avertismente★ 3,7 K↓ —
- tao-train-dinoNVIDIA/skillsDINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. Transformer-based detector with denoising training, multi-scale features, and optional distillation support. Use when training, evaluating, exporting, distilling, quantizing, or running inference for a TAO DINO detector. Trigger phrases include "train DINO", "DETR object detection", "TAO 2D detection", "DINO with distillation".AlteleFără avertismente★ 3,7 K↓ —
ops-orchestrate
davepoon/buildwithclaude
De la autor
Autonomous multi-project orchestration engine. Audits all registered projects, structures work into dependency-wired tasks, dispatches parallel agents (subagents or Agent Teams), audits completions, and ships PRs. Registry-driven — works for any user with a configured project registry.
Instalare
npx skills add davepoon/buildwithclaude --skill ops-orchestrate -a claude-code
Se instalează în .claude/skills/ops-orchestrate/ · 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
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- SKILL.md