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.
49.105 skill-uri din 2.358 de depozite · actualizat acum 19 ore
49.105 skill-uri
- copilot-usage-metricsgithub/awesome-copilotRetrieve and display GitHub Copilot usage metrics for organizations and enterprises using the GitHub CLI and REST API.InginerieFără avertismente★ 40,7 K↓ —
- dokumente-intakeKlotzkette/claude-fuer-deutsches-rechtFür Dokumentenintake: ordnet Akte, Belege und Lücken; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: Energierecht.AlteleFără avertismente★ 1,8 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↓ —
- slideopssickn33/agentic-awesome-skillsTurn a repository into a cited HTML slide deck and detect the day it drifts from the code. Citations record file, lines, and hash; a stdlib check reports CURRENT, MOVED, or CHANGED.DocumenteFără avertismente★ 49 K↓ —
- wordKlotzkette/claude-fuer-deutsches-rechtFür Word/PDF-Umwandlung für Gericht und Behörden: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.DocumenteFără avertismente★ 1,8 K↓ —
- dnanexus-integrationK-Dense-AI/scientific-agent-skillsBuilds and operates reproducible genomics workloads on DNAnexus with the dx CLI, dxpy, apps/applets, native workflows, dxCompiler, and Nextflow. Supports DNAnexus data transfers, dxapp.json development, execution monitoring, workflow import, and project automation.ȘtiințăFără avertismente★ 55,8 K↓ —
- dsh-translate-docsNouqufei1993/skills-hub仅在用户明确调用时翻译或同步指定文档，保留技术含义、结构、命令和两边的独立修改。AlteleFără avertismente★ 1,9 K↓ —
- mietspiegel-quellenKlotzkette/claude-fuer-deutsches-rechtFür Mietspiegel-Quellen (amtlich): ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- 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↓ —
- translationsKlotzkette/claude-fuer-deutsches-rechtFür Multijurisdiktionale Übersetzungen und Dokumente: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: Corporate-Kanzlei. Route: translations.AlteleFără avertismente★ 1,8 K↓ —
- deep-auditpedrohcgs/claude-code-my-workflowComprehensive adversarial audit of a theory, proof, math/econ paper, codebase, or set of claims — decompose into components, fan out independent skeptics that must return CONCRETE defects, adjudicate every finding with a separate judge, fix all confirmed defects, then re-verify. Use when correctness must be bulletproof and single-pass or round-by-round review is too slow and too shallow. Invoke for "audit this rigorously", "find ALL the bugs/gaps", "make this rock solid", "converge faster on correctness".ȘtiințăFără avertismente★ 1,7 K↓ —
- software-lifecycleinkeep/open-knowledgeHow to work in a Software Lifecycle project (the `software-lifecycle` starter pack): proposals → decisions → specs → postmortems, plus guides. Read when the project has these folders, or when asked how this project is organized. Carries the doc lifecycle, status flows, and per-folder agent behaviors so that guidance does not live inside template bodies or folder descriptions. The five workflows — frame a proposal, write a spec, record a decision, write a postmortem, review a design — each ship as their own sibling skill in this pack. Complements the platform `open-knowledge` skill; does not replace it.DesignFără avertismente★ 4,8 K↓ —
- inso-plKlotzkette/claude-fuer-deutsches-rechtFür Mandantenkommunikation: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: Insolvenzrecht.AlteleFără avertismente★ 1,8 K↓ —
- gke-ai-troubleshooting-tpu-metrics-monitoringgoogle/skillsMonitors and troubleshoots GKE TPU workloads, nodes, and node pools using GKE system metrics and PromQL. Use when monitoring TensorCore duty cycle, TPU memory, node readiness, multi-host TPU node pool availability, host maintenance or preemption interruptions, and calculating MTTR or MTBI metrics for GKE TPUs. Don't use for general non-TPU GKE workload monitoring or non-metric TPU debugging.OficialInginerieFără avertismente★ 21,8 K↓ —
- interface-craftcbrock84/headcountRaises the visual and interaction quality of an interface — layout, hierarchy, type, spacing, density, and the details that separate a considered product from a generic one. Use this when a screen works but looks unfinished or default, when a layout feels crowded or arbitrary, when a page has no clear focal point, or when an interface needs to feel trustworthy rather than merely functional.DesignFără avertismente★ 2,6 K↓ —
- aeonK-Dense-AI/scientific-agent-skillsThis skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.PlanificareFără avertismente★ 55,8 K↓ —Apare și în 2 alte depozite
- 37signals-waywondelai/skillsBuild lean, opinionated products using the 37signals philosophy from "Getting Real", "Rework", and "Shape Up". Use when the user mentions "Getting Real", "Rework", "Shape Up", "37signals", "Basecamp method", "six-week cycles", "fixed time variable scope", "appetite vs estimates", "betting table", "breadboarding", "fat marker sketch", "build less", "underdo the competition", "opinionated software", "we have too many meetings", "how do we ship faster", or "stop overbuilding". Also trigger when cutting scope to ship sooner, running a small team, or avoiding long-term roadmaps. Covers shaping, betting, building, and the art of saying no. For MVP validation, see lean-startup. For design sprints, see design-sprint.DesignFără avertismente★ 2,6 K↓ —Apare și în 2 alte depozite
- iam-helper-for-privileged-access-managementgoogle/skillsManages the end-to-end lifecycle of on-demand, temporary access using Privileged Access Manager (PAM). Use when a user asks to create, read, update, or delete PAM entitlements, request temporary access, or approve/deny pending PAM grants. Do NOT use for permanent IAM policy bindings, troubleshooting IAM permission errors, or general Google Cloud resource provisioning.OficialAlteleFără avertismente★ 21,8 K↓ —
- scientific-visualizationK-Dense-AI/scientific-agent-skillsCreates and audits truthful, accessible, publication-ready scientific figures with Matplotlib, Seaborn, or Plotly. Use it for figure design, multi-panel layouts, uncertainty and missing-data displays, color/contrast review, image metadata validation, and journal export planning.ȘtiințăFără avertismente★ 55,8 K↓ —
- sales-enablementcbrock84/headcountBuilds what a sales team needs to sell — pitch decks, one-pagers, objection handling, competitive battlecards, demo scripts, and case studies. Use this to create or fix sales collateral, prepare for a competitive deal, build a demo flow, document objection responses, or diagnose why a pitch is not converting.AlteleFără avertismente★ 2,6 K↓ —
- kaltstart-triageKlotzkette/claude-fuer-deutsches-rechtFür BGB BT Kommandocenter: routet Rolle, Frist, Unterlagen und Fachschritt; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- scorecard-marketingwondelai/skillsBuild quiz and assessment funnels that generate qualified leads at 30-50% conversion. Use when the user mentions "quiz funnel", "scorecard", "lead magnet", "score-based segmentation", or "lead qualification". Also trigger when designing self-assessment tools, building calculators or graders for marketing, or creating personalized result pages that drive conversions. Covers concept hooks, question design, dynamic results by tier, and automated follow-up sequences. For landing page conversion, see cro-methodology. For full marketing plans, see one-page-marketing.MarketingFără avertismente★ 2,6 K↓ —Apare și în 2 alte depozite
- kaltstart-interviewKlotzkette/claude-fuer-deutsches-rechtFür Erstes Einrichtungsgespräch (Kaltstart-Interview): routet Rolle, Frist, Unterlagen und Fachschritt; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.PlanificareFără avertismente★ 1,8 K↓ —
- statistical-powerK-Dense-AI/scientific-agent-skillsCalculates sample sizes and statistical power for study planning. Applies when someone asks "how many subjects/samples/replicates do I need", wants an a priori power analysis, a minimum detectable effect (MDE), a power curve, or needs to justify a sample size for a grant, IRB protocol, or pre-registration. Covers closed-form power for t-tests, ANOVA, proportions, correlations, chi-square, and regression, plus simulation-based (Monte Carlo) power for complex designs — logistic/Poisson regression, mixed models, cluster-randomized trials, survival, and interactions. Also handles requests that only mention an effect size, alpha, or "80% power" without saying "power analysis" explicitly. For laying out the study (randomization, blocking, factorial/DOE, crossover, sequential designs) use experimental-design; for analyzing data already collected and reporting it use statistical-analysis.TestareFără avertismente★ 55,8 K↓ —
arcgis-to-portaljs
datopian/portaljs
DevOpsActualizat acum 6 zile
De la autor
Migrate a whole ArcGIS Hub site into a PortalJS Arc portal end-to-end. Harvests the Hub /data.json (DCAT-US) inventory, exports every FeatureService layer through the ArcGIS REST query API with resultOffset paging, converts each to the serverless dual tier (PMTiles render + GeoParquet query) with tabular items to Parquet, pushes everything to Cloudflare R2 via Git LFS, appends dual-tier datasets.json entries, and writes a source-vs-derived parity report. Use to move a City or sector ArcGIS Hub open-data portal onto PortalJS with no server-side compute.
Instalare
npx skills add datopian/portaljs --skill arcgis-to-portaljs -a claude-code
Se instalează în .claude/skills/arcgis-to-portaljs/ · 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 instrucțiuniFolosește rețeauaLicență: MIT
Verificări de siguranță pe SKILL.md
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De ce 89
Securitate100
Proveniență80
Întreținere100
Licență100
Adopție54
Fișiere (3)
- SKILL.md
- references/reference.md
- references/sync-and-cutover.md