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.
49.396 de skill-uri din 2.375 de depozite · actualizat acum 29 de minute
49.396 de skill-uri
- get-available-resourcesK-Dense-AI/scientific-agent-skillsDetects host inventory and effective CPU, memory, disk, scheduler, container, and accelerator limits when a user asks for resource-aware planning or before a clearly resource-sensitive local workload. Produces a redacted JSON snapshot and conservative planning helpers without stress tests or assuming visible host hardware is usable.TestareFără avertismente★ 56 K↓ —
- data-engineeringcbrock84/headcountBuilds and operates data pipelines — ingestion, transformation, orchestration, quality testing, and reliability of data delivery. Use this to design or debug a pipeline, decide batch versus streaming, add data quality checks, handle late or duplicate data, or work out why a dashboard's numbers changed without anyone changing the dashboard.DateFără avertismente★ 2,6 K↓ —
- readgzhLeoYeAI/agent-master-skillsReadGZH — Let AI read full-text WeChat Official Account articles. Supports standard articles and image-post formats.MediaFără avertismente★ 2,2 K↓ —
- sharksickn33/agentic-awesome-skillsPitch a business idea to a Shark Tank-style panel of Claude sub-agent investors who grill it, hear a founder agent answer, and each go IN or OUT with a practice offer.FinanțeFără avertismente★ 49,1 K↓ —
- orchata-ragLeoYeAI/agent-master-skillsKnowledge management and RAG platform with tree-based document indexing. Use this skill to search, browse, and manage Orchata knowledge bases via MCP tools.AlteleFără avertismente★ 2,2 K↓ —
- pydeseq2K-Dense-AI/scientific-agent-skillsPerforms bulk RNA-seq differential expression analysis with PyDESeq2, including count validation, formula designs, explicit contrasts, Wald tests, FDR correction, coefficient-matched LFC shrinkage, and result visualization. Use for PyDESeq2 or Python DESeq2 workflows with biological replicates.TestareFără avertismente★ 56 K↓ —Apare și în 1 alt depozit
- vaccinatepedrohcgs/claude-code-my-workflowQualify a check before it is allowed to clear anything — prove it can detect the failure it is meant to catch. Seeds known defects into a copy of a real artifact plus a clean control, runs the checker, and reports recall and false-positive rate into a qualification ledger. Use when the user says "does this check work", "qualify the gate", "test my reviewer", "seed defects", "vaccinate", "qualify the checks", "can I trust this review", "does it pass for the right reason", or before relying on any automated check or referee simulation for a decision that matters. NOT a code fixer and NOT a reviewer itself — it grades the grader.TestareFără avertismente★ 1,7 K↓ —
- unit-economicscbrock84/headcountEstablishes whether the business makes money on each customer or unit — contribution margin, acquisition cost, payback period, lifetime value, and the cohort behavior underneath. Use this to assess whether growth is profitable, evaluate a channel or segment, support a pricing decision, judge how fast the business can afford to grow, or diagnose why revenue growth is not producing profit.MarketingFără avertismente★ 2,6 K↓ —
- escalation-managementcbrock84/headcountHandles customer situations that have exceeded normal support — severity assessment, incident communication, executive escalation, and recovering a relationship after a failure. Use this when a customer issue is escalating or has gone to leadership, during a customer-affecting outage, when a major account is at risk, when a relationship needs repairing after a failure, or to design the escalation path itself.DesignFără avertismente★ 2,6 K↓ —
- account-based-marketingcbrock84/headcountConcentrates marketing and sales effort on a named set of accounts rather than on volume — qualifying whether the model fits your economics at all, building the account list and the buying group inside each, tiering effort against account value, coordinating so the account experiences one campaign rather than several, and measuring account progression instead of leads. Use this to decide whether to run an account-based program, build one, or work out why an existing one produces activity and no pipeline.MarketingFără avertismente★ 2,6 K↓ —
- mandateLeoYeAI/agent-master-skillsUse when enforcing spend limits on AI agent wallets, validating transactions before signing, configuring allowlists or approval workflows, detecting prompt injection in agent reasoning, scanning codebases for unprotected wallet calls, or auditing agent transaction history. Works with OpenClaw, Claude Code, GOAT, AgentKit, ElizaOS. Supports Bankr, Locus, Sponge, CDP wallets. Non-custodial: private keys never leave your machine.InginerieFără avertismente★ 2,2 K↓ —
- mem9LeoYeAI/agent-master-skillsPersistent cloud memory for OpenClaw agents. Use when users say: - "install mem9" - "setup memory" - "add memory plugin" - "openclaw memory" - "mem9 onboarding" - "memory not working" - "import memories" - "upload sessions"ProductivitateFără avertismente★ 2,2 K↓ —
- crawleeLeoYeAI/agent-master-skillsExpert guide for building web scrapers and crawlers using Crawlee (JavaScript/TypeScript and Python). Use this skill whenever the user wants to: scrape a website, build a web crawler, extract data from web pages, automate browser navigation, handle anti-bot blocking, manage proxies or sessions for scraping, use Playwright/Puppeteer/Cheerio/BeautifulSoup for web data extraction, crawl sitemaps, download files from URLs, or deploy a scraper to the cloud. Trigger even for loosely related phrases like "get data from a website", "automate browser", "scrape prices", "extract links", "crawl URLs", or "bypass bot detection". Covers CheerioCrawler, PlaywrightCrawler, PuppeteerCrawler, HttpCrawler, JSDOMCrawler (JS), and BeautifulSoupCrawler, ParselCrawler, PlaywrightCrawler (Python).BrowserFără avertismente★ 2,2 K↓ —
- pylabrobotK-Dense-AI/scientific-agent-skillsDevelops and reviews PyLabRobot lab-automation resources, liquid-handling plans, offline simulations, and supported-device integrations. Supports PyLabRobot protocols and API questions; keep physical execution behind an explicit operator safety gate.PlanificareFără avertismente★ 56 K↓ —
- capture-environmentpedrohcgs/claude-code-my-workflowSnapshot the computational environment for a replication package — detects the analysis stack (R / Stata / Python) and emits the right lockfiles (renv.lock + sessionInfo.txt, requirements.txt / environment.yml / uv.lock, Stata version + ado package list), records seeds and RNG kind, optionally writes a pinning Dockerfile, and produces a paste-ready "Computational requirements" block. Use when user says "capture the environment", "snapshot my dependencies", "pin the versions", "make a renv.lock / requirements.txt", "make this byte-reproducible", or before releasing a replication package to openICPSR / the AEA Data Editor.RedactareFără avertismente★ 1,7 K↓ —
- admapixLeoYeAI/agent-master-skillsAd intelligence & app analytics assistant. Search ad creatives, analyze apps, view rankings, track downloads/revenue, and get market insights. Get your API key at https://www.admapix.com. Triggers: 找素材, 搜广告, 广告素材, 竞品分析, 广告分析, 排行榜, 下载量, 收入分析, 市场分析, 投放分析, App分析, 出海分析, search ads, find creatives, ad spy, ad analysis, app ranking, download data, revenue, market analysis, app intelligence, competitor analysis, ad distribution.DateFără avertismente★ 2,2 K↓ —
- qiskitK-Dense-AI/scientific-agent-skillsBuilds, simulates, transpiles, and executes quantum circuits with Qiskit and IBM Quantum Runtime. Use for Qiskit 2.x circuits and operators, V2 Sampler or Estimator primitives, target-aware transpilation, local or noisy simulation, IBM QPU execution, Runtime sessions or batches, error mitigation, and Qiskit ecosystem packages.AlteleFără avertismente★ 56 K↓ —Apare și în 2 alte depozite
- milvusLeoYeAI/agent-master-skillsOperate Milvus vector database with pymilvus — collections, vector search, hybrid search, indexes, RBAC, partitions, and more via Python code.DateFără avertismente★ 2,2 K↓ —
- apigee-agent-gateway-governancegoogle/skillsStands up an Apigee API proxy that a Google Cloud Agent Gateway calls as an ext-proc (Service Extension) callout on an agent's LLM traffic, to meter token usage per model, extract caller identity, and apply Model Armor prompt screening or a semantic cache. Use when wiring Apigee in as an AI gateway behind an Agent Gateway, when an agent's model egress needs governing, or when a callout proxy returns no verdict and you need to find out why. The distinguishing question is whether Apigee forwards the traffic or only inspects it: this skill is inspect-only, and builds the proxy itself. Don't use it when Apigee is meant to receive a request and route it onward to a backend — including hosting an MCP server behind Apigee — which needs a proxy with a target instead. Don't use for governing the agent's calls to tools or MCP servers. Don't use for choosing or switching which model a request goes to. Don't use for creating the Agent Gateway itself, nor for Apigee hybrid.OficialInginerieFără avertismente★ 21,8 K↓ —
- matlabK-Dense-AI/scientific-agent-skillsBuilds, reviews, migrates, and plans MATLAB or GNU Octave numerical workflows. Use for arrays, tabular/time data, tests, projects, graphics, MAT files, and explicit Python interoperability.TestareFără avertismente★ 56 K↓ —Apare și în 2 alte depozite
- gke-ai-troubleshooting-tpu-vbar-oomgoogle/skillsDiagnoses and prevents vbar_control_agent segfaults, out-of-memory (OOM) errors, and TPU device initialization failures on TPU v6e nodes in GKE caused by race conditions during TPU device resets or high-frequency metrics polling. Use when troubleshooting vbar_control_agent crashes, memory cgroup OOMs in serial console logs, tpu-device-plugin metrics checksum corruption errors, or custom TPU metrics collection conflicts on GKE TPU v6e nodes. Don't use for general non-TPU container OOM troubleshooting or standard GKE node lifecycle operations.OficialProductivitateFără avertismente★ 21,8 K↓ —
- tezosLeoYeAI/agent-master-skillsExpert Tezos blockchain development guidance. Provides security-first smart contract development, FA1.2/FA2 token standards, gas optimization, and production deployment patterns. Use when building Tezos L1 smart contracts or implementing token standards.SecuritateFără avertismente★ 2,2 K↓ —
- api-design-principleswshobson/agentsMaster REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers. Use when designing new APIs, reviewing API specifications, or establishing API design standards.DesignFără avertismente★ 42,1 K↓ —
- anschluss-routingKlotzkette/claude-fuer-deutsches-rechtFür Anschluss-Routing: routet Rolle, Frist, Unterlagen und Fachschritt; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: robotik-recht.AlteleFără avertismente★ 1,8 K↓ —
astropy
sickn33/agentic-awesome-skills
DateActualizat acum 5 ore
De la autor
Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.
Instalare
npx skills add sickn33/agentic-awesome-skills --skill astropy -a claude-code
Se instalează în .claude/skills/astropy/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Fără descărcare: licența acestui skill (Personalizată sau neclară) nu ne permite să-i redistribuim fișierele. Comenzile de instalare le iau direct de pe GitHub.
La ce are acces
Doar instrucțiuniFolosește rețeauaLicență: Personalizată sau neclară
Verificări de siguranță pe SKILL.md
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De ce 89
Securitate100
Proveniență95
Întreținere100
Licență45
Adopție72
Fișiere (8)
- SKILL.md
- references/coordinates.md
- references/cosmology.md
- references/fits.md
- references/tables.md
- references/time.md
- references/units.md
- references/wcs_and_other_modules.md