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.
49.484 de skill-uri din 2.391 de depozite · actualizat acum 15 minute
49.482 de skill-uri
- pr-dashboardgithub/awesome-copilotOpen a GitHub PR dashboard in the browser. Use when the user asks to see their pull requests, open the PR dashboard, show PRs for a date range, or check PR status. Trigger phrases include "show my PRs", "open PR dashboard", "pull request dashboard".BrowserFără avertismente★ 40,8 K↓ —
- anpassenKlotzkette/claude-fuer-deutsches-rechtFür /anpassen — Kanzleiprofil und Einstellungen anpassen: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- pathmlK-Dense-AI/scientific-agent-skillsSupports local computational pathology research with PathML: slide loading and tiling, preprocessing and QC, h5path storage, multiplex quantification, spatial graphs, and bounded model inference. Use for whole-slide H&E, CODEX, Vectra, Mesmer, HoVer-Net, and HACTNet workflows.DocumenteFără avertismente★ 56,1 K↓ —Apare și în 2 alte depozite
- seven-pass-reviewpedrohcgs/claude-code-my-workflowMechanize Pattern 15 — the seven-pass adversarial review protocol for academic manuscripts. Spawns 7 fresh-context subagents in parallel (abstract, intro, methods, results, robustness, prose, citations), then synthesizes a prioritized revision checklist. Use for submission-ready or R&R-stage papers where single-pass review isn't enough.InginerieFără avertismente★ 1,7 K↓ —
- sozialdaten-sgbKlotzkette/claude-fuer-deutsches-rechtFür Sozialdaten im Datenschutzvorfall — SGB I und SGB X: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- protocolsio-integrationK-Dense-AI/scientific-agent-skillsReads, validates, and safely exports protocols.io data with current official REST/MCP contracts, or creates non-executing mutation plans. The bundled client makes bounded official-host GET requests only with explicit --execute. Use only for tasks explicitly targeting protocols.io or an exact protocols.io protocol version.PlanificareFără avertismente★ 56,1 K↓ —
- foundry-agentic-loopgithub/awesome-copilotBuild agentic solutions on Microsoft Foundry, GitHub and Azure: hosted agents, toolbox tools and skills, Foundry IQ grounding and a React/FastAPI app. Three modes: rapid prototyping in an existing Foundry project; spec-driven development (SDD), where the foundry-agentic-loop-workflow runs Specify, Implement, Verify and Deploy to create the Foundry project and deploy with azd, or one phase runs alone; and Improve, which refines this skill and the workflow from past runs. Use for Agentic Loop requests and canvas actions, or end-to-end agent solutions from architecture to Azure deployment. Not for isolated Azure administration or unrelated UI edits.DevOpsFără avertismente★ 40,8 K↓ —
- agent-skill-stackgithub/awesome-copilotFind, evaluate, and assemble the smallest compatible set of AI Agent Skills for an end-to-end natural-language goal. Use when a user wants Skills for a multi-step workflow, asks which Skills fit a project, needs an installed-Skill audit or conflict check, has low Skill recall, wants indirect helpers such as humanizers or compliance checks, or wants a project-specific Skill Stack with controlled installation. Search local Skills, registries, GitHub, and OpenCLI; compare adoption, verified fit, safety, and overlap. Do not use for locating one known or common Skill; use the generic find-skills workflow.JuridicFără avertismente★ 40,8 K↓ —
- mietsenkungsverlangenKlotzkette/claude-fuer-deutsches-rechtFür Mietsenkungsverlangen (Mietpreisbremse, WiStrG 1954, Wucher): ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- pytdcK-Dense-AI/scientific-agent-skillsProvides Therapeutics Data Commons workflows through PyTDC for registry discovery, dataset access, task-aware splits, evaluator metrics, benchmark groups, and bounded molecular-oracle scoring. Use when working with TDC therapeutic ML datasets or benchmarks.ProductivitateFără avertismente★ 56,1 K↓ —Apare și în 2 alte depozite
- anschluss-routingKlotzkette/claude-fuer-deutsches-rechtFür Anschluss-Routing: routet Rolle, Frist, Unterlagen und Fachschritt; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: NDA-Abgleich.JuridicFără avertismente★ 1,8 K↓ —
- verleumdung-187Klotzkette/claude-fuer-deutsches-rechtFür Paragraf 187 StGB - Verleumdung: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Schnittstellenkarte mit Zuständigkeits- und Nachweisfragen.AlteleFără avertismente★ 1,8 K↓ —
- bug-receiptgithub/awesome-copilotClose defects and incidents with a BUG RECEIPT and VERIFIED, PARTIAL, or BLOCKED status after diagnosis, repair, or recovery.AlteleFără avertismente★ 40,8 K↓ —
- pysamK-Dense-AI/scientific-agent-skillsProvides Python/HTSlib workflows for genomic files. Used when reading, querying, filtering, or writing SAM/BAM/CRAM, VCF/BCF, FASTA/FASTQ, or tabix data with pysam, including pileup, coverage, indexing, and CRAM references.ȘtiințăFără avertismente★ 56,1 K↓ —Apare și în 2 alte depozite
- 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★ 21,9 K↓ —
- shodan-reconnaissancezebbern/claude-code-guideThis skill should be used when the user asks to "search for exposed devices on the internet," "perform Shodan reconnaissance," "find vulnerable services using Shodan," "scan IP ranges with Shodan," or "discover IoT devices and open ports." It provides comprehensive guidance for using Shodan's search engine, CLI, and API for penetration testing reconnaissance.SecuritateFără avertismente★ 4,7 K↓ —
- ressort-aaKlotzkette/claude-fuer-deutsches-rechtFür Ressort-Heranführung AA: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- case-dpia-driftKlotzkette/claude-fuer-deutsches-rechtFür Case: Tatbestandsmerkmale, Beweisfragen und Beleglage: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- linux-shell-scriptingzebbern/claude-code-guideThis skill should be used when the user asks to "create bash scripts", "automate Linux tasks", "monitor system resources", "backup files", "manage users", or "write production shell scripts". It provides ready-to-use shell script templates for system administration.RedactareFără avertismente★ 4,7 K↓ —
- what-if-oracleK-Dense-AI/scientific-agent-skillsSupports structured what-if scenario analysis for research planning, experimental contingencies, and scientific project decisions. Explores favorable, reference, adverse, wild-card, contrarian, and second-order scenarios with explicit assumptions, evidence, and decision triggers. Use to stress-test a research plan under uncertainty; scenario narratives do not estimate causal effects or calibrated forecast probabilities.TestareFără avertismente★ 56,1 K↓ —
- tatbestaende-lernenKlotzkette/claude-fuer-deutsches-rechtFür Tatbestände Lernen: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt.AlteleFără avertismente★ 1,8 K↓ —
- navigation-3android/skillsLearn how to install and migrate to Jetpack Navigation 3, and how to implement features and patterns such as deep links, multiple backstacks, scenes (dialogs, bottom sheets, list-detail, two-pane, supporting pane), conditional navigation (such as logged-in navigation versus anonymous), returning results from flows, integration with Hilt, ViewModel, Kotlin, and view interoperability.OficialAlteleFără avertismente★ 10,3 K↓ —
- quellen-livecheckKlotzkette/claude-fuer-deutsches-rechtFür Rechtsquellen-Livecheck: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: Jurastudium.AlteleFără avertismente★ 1,8 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↓ —
relsa-severity-assessment
K-Dense-AI/scientific-agent-skills
De la autor
Supports multivariate severity assessment and exploratory endpoint-time score forecasting for laboratory animal studies using the RELSA (RELative Severity Assessment) score and ARIMA-based foRcast forecasting. Use when combining welfare readouts — body weight or weight loss, body temperature, clinical or nesting scores, biomarkers, activity, heart rate, burrowing, wheel running — into one severity score per animal per day, when asking which animals are at risk of reaching a humane endpoint at a specified future observation time, when defining attention/danger zones or thresholds on a severity scale by kernel density estimation, or when reporting severity for a 3Rs, refinement, animal-welfare, or EU Directive 2010/63/EU severity-assessment context. Covers directionality ("turned" variables), baseline normalization, reference sets, RELSA weights, ARIMA prediction intervals, and RMSE/PICP/MPIW evaluation.
Instalare
npx skills add K-Dense-AI/scientific-agent-skills --skill relsa-severity-assessment -a claude-code
Se instalează în .claude/skills/relsa-severity-assessment/ · 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 (9)
- SKILL.md
- assets/example_cohort.csv
- references/forecasting.md
- references/relsa-method.md
- references/thresholds-and-zones.md
- scripts/_common.py
- scripts/forecast_relsa.py
- scripts/kde_thresholds.py
- scripts/relsa_score.py