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.
49.492 de skill-uri din 2.391 de depozite · actualizat acum 13 ore
49.490 de skill-uri
- histolabK-Dense-AI/scientific-agent-skillsExtracts and preprocesses whole-slide histology image tiles with Histolab. Use for WSI inspection, tissue masks, random/grid/score-based tile extraction, H&E stain normalization, and tile dataset preparation. For multiplexed imaging or deep learning inference pipelines, use pathml.DocumenteFără avertismente★ 56,1 K↓ —Apare și în 1 alt depozit
- fluidsimK-Dense-AI/scientific-agent-skillsPlans, configures, inspects, restarts, and analyzes bounded FluidSim computational-fluid-dynamics simulations with explicit numerical-validity and HPC safety checks. Use for FluidSim solver selection, parameter review, FFT/MPI setup, output diagnostics, or restart compatibility.PlanificareFără avertismente★ 56,1 K↓ —Apare și în 1 alt depozit
- leanback-to-compose-tv-migrationandroid/skillsProvides instructions and architectural patterns for migrating Android TV applications from legacy Leanback UI Toolkit, Android Views, or Support Fragments to Jetpack Compose for TV (androidx.tv). Use this skill for Leanback to Compose migrations, including browse screen, settings screen, authentication screen, login screen, or video playback screen migrations, or when replacing BrowseSupportFragment, LeanbackSettingsFragment, PreferenceFragment, BaseLeanbackPreferenceFragmentCompat, VideoSupportFragment, GuidedStepSupportFragment, SearchSupportFragment, VerticalGridSupportFragment, Presenter, ArrayObjectAdapter, or CursorMapper with modern Compose equivalents, implementing immersive carousels with focus memory, Media3 video playback with PlayerSurface, or custom 10-foot hero layouts.OficialDesignFără avertismente★ 10,3 K↓ —
- gke-ai-troubleshooting-tpu-dynamic-slices-monitoringgoogle/skillsMonitors, troubleshoots, and manages GKE TPU Dynamic Slices custom resources. Use when checking TPU slice lifecycle states, troubleshooting slice provisioning failures, validating single-slice or multi-slice (JobSet) workload manifests, or safely patching stuck finalizers and disabling the slice controller. Don't use for generic GKE cluster node pool creation or standard non-TPU workload management (use gke-basics or gke-cluster-creation instead).OficialAlteleFără avertismente★ 21,9 K↓ —
- marketing-planningcbrock84/headcountBuilds the marketing plan of record — objectives, channel mix, budget allocation, sequencing, and the measurement that says whether it worked. Use this for annual or quarterly planning, when budget must be allocated or defended, when marketing activity feels busy but undirected, or when a plan needs pressure-testing before commitment.MarketingFără avertismente★ 2,6 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★ 56,1 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↓ —
- wiki_captureKaelio/ktxktx's knowledge base - wiki pages for durable, reusable business knowledge. Covers capture workflow for user preferences, metric definitions, organizational conventions, and cross-references between wiki pages and semantic-layer sources. Loaded by the post-turn memory-agent only. The research agent reads wiki via `wiki_read`/`wiki_search` but does not write it.ȘtiințăFără avertismente★ 1,6 K↓ —
- pkedgeLeoYeAI/agent-master-skillsMonitor Polymarket prediction markets, spot mispricings between crowd probabilities and real-world evidence, track whale positioning from the top-50 leaderboard wallets, and detect fresh wallet insider signals. Supports four modes: SCAN (daily digest of flagged markets), DEEP DIVE (full single-market analysis with web search evidence), WHALE WATCH (consensus detection across top trader positions), and INSIDER WATCH (fresh wallet large-position detection).AlteleFără 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★ 21,9 K↓ —
- saas-idea-validatorcbrock84/headcountEvaluates a software or startup idea against problem, market, competition, monetization, defensibility, and execution, and returns a verdict rather than encouragement. Use this when an idea needs pressure-testing before anyone builds, when deciding whether something is worth pursuing, when assessing competition or willingness to pay, or when a validated idea needs a first-customers and MVP plan. Default to scrutiny; the useful answer is usually the unwelcome one.TestareFără avertismente★ 2,6 K↓ —
- copilot-pr-autopilotgithub/awesome-copilotCopilot left 14 review comments on your PR — half are nits. Hours of fix → reply → resolve → re-request, and each round lands MORE comments. This skill runs loop engineering: auto-triggers Copilot Code Review via GraphQL (no @copilot mention), triages every open thread (Copilot, humans, advanced-security) with a fix / decline / escalate rubric, dispatches parallel fix sub-agents that obey the repo build/test/lint conventions, commits per iteration, replies+resolves citing the pushed SHA, then re-triggers until HEAD is reviewed with zero threads awaiting the agent's reply (remaining open threads are explicit hand-offs to the human — escalated declines, design tradeoffs). You merge a clean PR; the bot runs it. Trigger phrases: "address copilot comments", "run a copilot review loop", "fix this PR", "iterate on copilot feedback". Repo-agnostic, gh CLI + PowerShell. Full autopilot needs repo Triage/Write; external PR authors get single-iteration mode plus manual re-trigger (UI 🔄 or substantive-commit push).SecuritateFără avertismente★ 40,8 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★ 56,1 K↓ —
- batch-script-progressgithub/awesome-copilotDesign and verify runtime output when creating or modifying Python, PowerShell, or Node.js scripts that process multiple files, records, or API requests. Use for batch scripts, bulk operations, silent long-running loops, progress reporting, per-item failures, final counts, stdout separation, or exit-status consistency. Not for UI progress bars, monitoring infrastructure, or progress updates in the AI conversation.DevOpsFără avertismente★ 40,8 K↓ —
- understand-figmaEgonex-AI/Understand-AnythingAnalyze a Figma file via the Figma REST API and generate an interactive design knowledge graph (pages, screens, components, component sets, instances, design tokens) with a kind:"design" dashboard.DesignFără avertismente★ 90,5 K↓ —
- understand-domainEgonex-AI/Understand-AnythingExtract business domain knowledge from a codebase and generate an interactive domain flow graph. Works standalone (lightweight scan) or derives from an existing /understand knowledge graph.AlteleFără avertismente★ 90,5 K↓ —
- dokumente-intakeKlotzkette/claude-fuer-deutsches-rechtFür Dokumentenintake: ordnet Akte, Belege und Lücken; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: BGB BT Prüfer.AlteleFără avertismente★ 1,8 K↓ —
- quellen-livecheckKlotzkette/claude-fuer-deutsches-rechtFür Rechtsquellen-Livecheck: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: NDA-Abgleich.JuridicFără avertismente★ 1,8 K↓ —
- huashu-video-outlinealchaincyf/huashu-skills快速生成2-3个视频大纲方案,含标题、封面建议和结构设计。当用户提到"视频大纲"、"视频结构"、"脚本大纲"、"视频选题"时使用。MediaFără avertismente★ 2,2 K↓ —
- scenario-caption-studioscenario-labs/skillsUse when a video needs its spoken words on screen through Scenario via MCP: burned-in styled captions for a TikTok, Reels, or Shorts cut, ad captions for sound-off feeds, YouTube subtitles, an SRT sidecar, transcription of a clip's audio, captions translated into another language, karaoke or word-by-word styles, or restyling and correcting an existing transcript. Keywords: captions, subtitles, SRT, transcribe, karaoke, word-by-word, burn in, closed captions, translate video, caption style.MediaFără avertismente★ 2,2 K↓ —
- agent-platform-eval-flywheelgoogle/skillsMeasures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology. Use when generating synthetic user scenarios, evaluating an agent or model, building an eval dataset, picking or writing evaluation metrics, analyzing failures, comparing results before and after a fix, or when guidance is needed on Agent Platform eval methodology — including dataset schema, LLM-as-judge scoring, and common failure causes. For fine-tuning, use agent-platform-tuning. For general production deployment, use agent-platform-deploy.OficialDevOpsFără avertismente★ 21,9 K↓ —
- venue-templatesK-Dense-AI/scientific-agent-skillsPrepares journal manuscripts, conference papers, research posters, and grant documents using venue-specific formatting guidance and bundled LaTeX scaffolds. Supports selecting an official template, checking current page or anonymity rules, adapting academic writing to a venue, or inspecting a submission PDF.DocumenteFără avertismente★ 56,1 K↓ —
- md-to-docxgithub/awesome-copilotConvert Markdown files to professionally formatted Word (.docx) documents with embedded PNG images — pure JavaScript, no external tools requiredDocumenteFără avertismente★ 40,8 K↓ —
- gke-compute-classesgoogle/skillsConfigures, optimizes, and troubleshoots GKE ComputeClasses. Use when configuring Spot VMs with on-demand fallback, targeting specific accelerators (GPUs/TPUs) or machine families, restricting ComputeClass access, or debugging pending pods related to node pool auto-creation. Do not use for cluster-level Node Auto Provisioning configuration or general GKE cluster creation.OficialPlanificareFără avertismente★ 21,9 K↓ —
depmap
K-Dense-AI/scientific-agent-skills
De la autor
Retrieves and analyzes Cancer Dependency Map (DepMap) release data, including CRISPR Chronos gene effects, cancer model annotations, omics biomarkers, and PRISM drug sensitivity. Supports cancer-selective dependency, co-essentiality, and candidate synthetic-lethality analyses with release-aware identifiers and statistical checks.
Instalare
npx skills add K-Dense-AI/scientific-agent-skills --skill depmap -a claude-code
Se instalează în .claude/skills/depmap/ · 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 (3)
- SKILL.md
- references/dependency_analysis.md
- scripts/depmap_data.py