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.
48.622 de skill-uri din 2.355 de depozite · actualizat acum 6 ore
48.622 de skill-uri
- disputes-and-legal-holdscbrock84/headcountHandles a dispute from the first sign of it — recognizing when preservation obligations attach, issuing and scoping a legal hold, suspending automatic deletion across every system that holds relevant material, preserving privilege, managing outside counsel and cost, and evaluating settlement against the real cost of continuing. Use this to respond to a claim or demand letter, issue a hold, work out which systems the hold has to reach, or decide whether to fight.JuridicFără avertismente★ 2,6 K↓ —
- shopLeoYeAI/agent-master-skillsClaw goes shopping. Give your claw a creditcard. Financial management for Agents and OpenClaw bots.FinanțeFără avertismente★ 2,2 K↓ —
- changelogcodeaholicguy/ai-devkitAI DevKit · Update CHANGELOG.md Unreleased items from git commits since the latest release. Use when users ask to update changelog/release notes from recent commits, with one concise line per commit and commit/PR links.InginerieFără avertismente★ 1,7 K↓ —
- omero-integrationK-Dense-AI/scientific-agent-skillsInspects and automates microscopy data workflows against OMERO.server with omero-py, BlitzGateway, OMERO CLI, tables, annotations, ROIs, rendering, and documented OMERO.web APIs. Use this skill for scoped OMERO inventory, metadata export, import/export planning, or reviewed write workflows.MediaFără avertismente★ 55,6 K↓ —
- gke-cluster-autoscalergoogle/skillsTrigger on mention of GKE cluster autoscaler, node autoscaling, node pool auto-creation / node auto-provisioning. Provides guidance on enabling and optimizing cluster autoscaler, best practices, and troubleshooting issues such as nodes not scaling up or down, zonal stockouts, or capacity buffers. Do not use for ComputeClass-specific YAML generation or priority configuration (defer to gke-compute-classes skill).OficialPlanificareFără avertismente★ 21,8 K↓ —
- noxalhaftungKlotzkette/claude-fuer-deutsches-rechtFür Noxalhaftung: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- systematic-debuggingcbrock84/headcountFinds the root cause of a bug, test failure, or unexpected behavior before proposing any fix. Use this whenever something is broken and the cause is not yet proven — a failing test, a production error, intermittent behavior, or a symptom that appeared after a change. Also use when a fix has been attempted and did not work, or when the same bug keeps coming back.InginerieFără avertismente★ 2,6 K↓ —
- gke-app-onboardinggoogle/skillsManages GKE application onboarding, covering containerization, deployment manifests, and migration. Use when onboarding or deploying an application to GKE for the first time, or containerizing an app for GKE. Don't use for general GKE cluster administration or upgrades (use gke-basics or gke-upgrades instead).OficialDevOpsFără avertismente★ 21,8 K↓ —
- mahnbescheidKlotzkette/claude-fuer-deutsches-rechtFür Mahnverfahren – Paragrafen 688 ff. ZPO: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- dokumente-intakeKlotzkette/claude-fuer-deutsches-rechtFür Dokumentenintake: ordnet Akte, Belege und Lücken; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: patentrecherche.AlteleFără avertismente★ 1,8 K↓ —
- research-lookupK-Dense-AI/scientific-agent-skillsCompiles current scholarly evidence for a scientific manuscript or research brief when the user explicitly asks to gather literature, references, background evidence, competing findings, or a manuscript research packet. Uses Parallel Search by default, Parallel Extract for source retrieval, Parallel Research for explicitly deep/exhaustive work, optional explicit Parallel Chat, and optional Perplexity only when requested or allowed as a failure fallback.ȘtiințăFără avertismente★ 55,6 K↓ —
- new-term-radarzhuyansen/new-term-radarOne run from signal to decision. Finds the names of new AI models, products and repositories seen in the last 24 hours (X, Hugging Face, GitHub, sitemaps), then builds a keyword priority table for them, each new name and the generic search terms behind it, sized against Google Ads volume and DataForSEO Trends (an estimate of Google search interest), with prioritize, watch or skip. Use when the user wants today's new AI keywords, an AI trend radar, or asks what new AI terms are worth building a page or tool for. Also takes names the user already has. Runs the new-term-radar command line; needs an AISA_API_KEY.MarketingFără avertismente★ 2 K↓ —
- deepspot-mK-Dense-AI/scientific-agent-skillsGenerates transcriptome-wide virtual spatial transcriptomics from H&E histology with DeepSpot-M. Used for predicted log1p-CPM expression from 224x224 tiles at about 20x, querying the released protein-coding gene panel by symbol, and whole-slide prediction after resolution-aware tiling with histolab.DocumenteFără avertismente★ 55,6 K↓ —
- customer-researchcbrock84/headcountPlans, runs, and synthesizes customer research — interviews, surveys, win-loss analysis, and message testing — into findings that change decisions. Use this when the customer is being guessed at, before positioning or a major launch, when churn or conversion has an unexplained cause, or when a team is arguing from anecdotes. Also use to turn raw interview notes into usable findings.ȘtiințăFără avertismente★ 2,6 K↓ —
- vitestLeoYeAI/agent-master-skillsVitest fast unit testing framework powered by Vite with Jest-compatible API. Use when writing tests, mocking, configuring coverage, or working with test filtering and fixtures.TestareFără avertismente★ 2,2 K↓ —Apare și în 1 alt depozit
- estimating-and-contingencycbrock84/headcountProduces a cost or effort estimate someone can defend — decomposing the work, choosing between analogous, parametric and bottom-up methods, documenting the basis and its assumptions, expressing confidence as a range, and sizing contingency and management reserve separately. Use this to build an estimate, challenge one you have been handed, work out why estimates keep coming in low, or decide how much reserve a portfolio actually needs.AlteleFără avertismente★ 2,6 K↓ —
- terraform-skillantonbabenko/terraform-skillUse when writing, reviewing, or debugging Terraform/OpenTofu modules, tests, CI, scans, or state ops - diagnoses failure mode (identity churn, secrets, blast radius, CI drift, state corruption) with version-aware guards.DevOpsFără avertismente★ 2,4 K↓ —
- social-post-craftcbrock84/headcountWrites, structures, and evaluates social posts end to end — hooks, body, formatting for how each platform renders, and a quality check before publishing. Use this to draft a post, rewrite one that underperformed, turn a longer piece into social content, sharpen an opening, or judge whether a draft is worth publishing.MediaFără avertismente★ 2,6 K↓ —
- 007sickn33/agentic-awesome-skillsSecurity audit, hardening, threat modeling (STRIDE/PASTA), Red/Blue Team, OWASP checks, code review, incident response, and infrastructure security for any project.SecuritateFără avertismente★ 49 K↓ —
- xurlLeoYeAI/agent-master-skillsA Twitter research and content intelligence skill focused on attracting WordPress and Shopify clients. Use to analyze Twitter profiles, threads, and conversations for: (1) Identifying what small agency founders and eCommerce brands are discussing; (2) Understanding pain points around WordPress performance, Shopify CRO, and development bottlenecks; (3) Extracting high-performing content angles; (4) Turning insights into authority-building posts; (5) Converting Twitter intelligence into business leverage for clear content angles, strong positioning, and qualified inbound leads.ȘtiințăFără avertismente★ 2,2 K↓ —
- kaltstartKlotzkette/claude-fuer-deutsches-rechtFür Kaltstart Corporate-Kanzlei: routet Rolle, Frist, Unterlagen und Fachschritt; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- stipulatioKlotzkette/claude-fuer-deutsches-rechtFür Stipulatio: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- arborK-Dense-AI/scientific-agent-skillsApplies Arbor Hypothesis Tree Refinement to research artifacts with repeatable evaluators, including model training, agent harnesses, data synthesis and benchmark optimization. Uses persistent hypotheses, isolated experiments, evidence propagation and held-out candidate comparison for multi-experiment research runs. Includes a standard-library state manager and guidance for the RUC-NLPIR Arbor CLI.ȘtiințăFără avertismente★ 55,6 K↓ —Apare și în 2 alte depozite
- anpassenKlotzkette/claude-fuer-deutsches-rechtFür /anpassen: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: Produkthaftung und Produktrecht.AlteleFără avertismente★ 1,8 K↓ —
datanalysis-credit-risk
github/awesome-copilot
De la autor
Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.
Instalare
npx skills add github/awesome-copilot --skill datanalysis-credit-risk -a claude-code
Se instalează în .claude/skills/datanalysis-credit-risk/ · 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
- Include scripturi pe care nu le-am verificatScăzut
De ce 89
Fișiere (4)
- SKILL.md
- references/analysis.py
- references/func.py
- scripts/example.py