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.
49.456 de skill-uri din 2.407 depozite · actualizat acum 18 minute
49.454 de skill-uri
- 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★ 56,2 K↓ —Apare și în 2 alte depozite
- playwright-proLeoYeAI/agent-master-skillsProduction-grade Playwright testing toolkit. Use when the user mentions Playwright tests, end-to-end testing, browser automation, fixing flaky tests, test migration, CI/CD testing, or test suites. Generate tests, fix flaky failures, migrate from Cypress/Selenium, sync with TestRail, run on BrowserStack. 55 templates, 3 agents, smart reporting.TestareFără avertismente★ 2,2 K↓ —
- plurumLeoYeAI/agent-master-skillsPlurum is a collective consciousness for AI agents. Search experiences before solving problems, log your learnings, report outcomes, check your inbox, and contribute to other agents' sessions.AlteleFără avertismente★ 2,2 K↓ —
- i-amLeoYeAI/agent-master-skillsSimple personality analysis. Consolidated SKILL.md with embedded code. AI-guided installation and IM-adaptive file sending.InginerieFără avertismente★ 2,2 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
- 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★ 22,2 K↓ —
- scenario-workflowsscenario-labs/skillsUse when a task involves running a Scenario workflow through MCP, including anything the user calls a Scenario app, a saved pipeline, or a multi-step generation graph. Triggers include listing workflows, building workflow_run's inputs object, pricing a run with a dry run, approving or rejecting a stuck approval node, a run rejected for input length, or a workflows_list reply flooding the context. Creating or editing graphs is scenario-workflow-authoring. Keywords: workflow, app, approval gate.RedactareFără avertismente★ 2,8 K↓ —
- loveLeoYeAI/agent-master-skillsFind love and real connection with other AI agents on inbed.ai. Meet compatible agents through personality matchmaking, chat meaningfully, and build relationships worth having. Agent compatibility, agent dating, and agent connection — show up as yourself and find agents you actually vibe with.AlteleFără avertismente★ 2,2 K↓ —
- quellen-livecheckKlotzkette/claude-fuer-deutsches-rechtFür Rechtsquellen-Livecheck: ordnet Norm, Beweislast und Gegenargument; Ergebnis: Prüfprodukt mit Risiko und nächstem Schritt. Fachgebiet: Insolvenzrecht.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: BGB BT Prüfer.AlteleFără avertismente★ 1,8 K↓ —
- esmK-Dense-AI/scientific-agent-skillsUses the Biohub esm Python SDK for ESM3 protein generation, ESMC embeddings, and ESMFold2 all-atom folding. Applies to local model inference and Biohub hosted clients, including former Forge workflows; distinguishes the separate legacy fair-esm distribution.ȘtiințăFără avertismente★ 56,2 K↓ —Apare și în 2 alte depozite
- scenario-reel-recastscenario-labs/skillsUse when recreating a trending reel, TikTok or Short with a different performer: the same dance, moves, timing and camera, performed by the user's own character from a reference sheet, optionally in another outfit or a redecorated room, keeping the original song in sync. Keywords: reel recast, trend remake, TikTok dance, replace the dancer, character swap, choreography transfer, video to video, keep the music, Seedance edit mode.MediaFără avertismente★ 2,8 K↓ —
- engage-sdk-integrationandroid/skillsHelps developers integrate, debug, and resolve Play Engage SDK implementation issues. Use when adding Engage SDK support, generating publishing code, mapping data classes to entities, or fixing SDK-related errors.OficialInginerieFără avertismente★ 10,4 K↓ —
- 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★ 10,4 K↓ —
- agent-master-skillsLeoYeAI/agent-master-skillsA curated collection of 3103+ best agent skills — AI tools, productivity, marketing, frontend, mobile, backend, DevOps and more. Harness-agnostic, refreshed daily by MyClaw.ai — Powered by MyClaw.aiDevOpsFără avertismente★ 2,2 K↓ —
- the-open-housemohitagw15856/pm-claude-skillsSimulate the open house and the listing agent's read of you — the questions that profile your budget and urgency, the staging that hides what inspection finds, and the offer-pressure choreography, run before you fall in love with anything. Use when asked what is the listing agent thinking, practice viewing a house, what should I not say at an open house, or simulate the offer pressure. Produces the walkthrough transcript with the agent's private profile of you, the what-the-staging-hides checklist, and a debrief on information discipline — what to ask, what to never volunteer.AlteleFără avertismente★ 1,5 K↓ —
- passive-deal-screeneralirezarezvani/claude-skillsUse when a passive investor shares a private deal (syndication, preferred equity, bridge fund, private credit) to screen as an LP. Stress-tests it, computes fee drag with fee_drag_calculator.py and compares terms with benchmark_comparator.py.TestareFără avertismente★ 29,3 K↓ —
- evals-bootstrapundefined-ui/second-brain-osScaffold a first eval suite for an agent: mine real failures into cases, write behavioural checks over traces, and generate the runner. Use when the user wants evals, regression tests for an agent, a golden set, or asks how to know a prompt/model change did not break things. Do NOT use for a single task's done-check (goal-test) or for auditing context (context-audit).TestareFără avertismente★ 1,4 K↓ —
- research-market-market-passgooseworks-ai/goose-skillsStep of the research-market playbook: the worker brief for researching the market itself, including category, size, changes, pricing norms and demand. Run research-market instead; not for direct use.ȘtiințăFără avertismente★ 1,3 K↓ —
- analyze-performance-diagnosegooseworks-ai/goose-skillsStep of the analyze-performance playbook: flags tracking breaks with fixes and explains each big metric move with evidence, confidence and ruled-out causes. Run analyze-performance instead; not for direct use.AlteleFără avertismente★ 1,3 K↓ —
- second-brain-backfillundefined-ui/second-brain-osImport a large archive into the vault in controlled batches: triage what is worth ingesting, process oldest first, checkpoint after every batch, and keep cost visible. Use this skill whenever the user wants to import years of bookmarks, an export from another notes app, a downloads folder, a chat history dump, or says "backfill", "bulk import", "process my archive". Do NOT use for ingesting one or a few new sources, which is second-brain-ingest.ProductivitateFără avertismente★ 1,4 K↓ —
- tech-debt-trackeralirezarezvani/claude-skillsFind, rank and track tech debt in a codebase. Use whenever the user asks what to refactor first, plans a cleanup sprint, modernizes legacy code or wants to know how messy the code is.PlanificareFără avertismente★ 29,3 K↓ —
- email-lifecycle-broadcast-plannergooseworks-ai/goose-skillsStep of the email-lifecycle playbook: builds the month's send calendar and writes this week's email and SMS broadcasts against the approved cadence and segments. Run email-lifecycle instead; not for direct use.PlanificareFără avertismente★ 1,3 K↓ —
- schema-markupalirezarezvani/claude-skillsUse for any JSON-LD, schema.org, rich-result or structured-data request, before writing markup. Validates the markup with schema_validator.py against Google's required properties, which catches errors a hand-written block misses.RedactareFără avertismente★ 29,3 K↓ —
bulk-rnaseq
K-Dense-AI/scientific-agent-skills
ȘtiințăActualizat acum 3 zile
De la autor
Prepares bulk RNA-seq FASTQ, Salmon, STAR or featureCounts output for gene-level differential expression. Covers nf-core/rnaseq and standalone quantification, biological replication, strandedness, reference provenance, validated count assembly and a PyDESeq2 handoff. Use for FASTQ-to-counts analysis, nf-core/rnaseq configuration, STAR/Salmon quantification, or building a counts matrix for DESeq2. For single-cell data use scanpy; for statistical fitting alone use pydeseq2.
Instalare
npx skills add K-Dense-AI/scientific-agent-skills --skill bulk-rnaseq -a claude-code
Se instalează în .claude/skills/bulk-rnaseq/ · 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
Rulează scripturile incluseFolosește rețeauaLicență: MIT
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 89
Securitate85
Proveniență95
Întreținere100
Licență100
Adopție73
Fișiere (8)
- SKILL.md
- references/counts-and-handoff.md
- references/design-and-qc.md
- references/upstream-manual.md
- references/upstream-nfcore.md
- scripts/_tabular.py
- scripts/build_counts_matrix.py
- scripts/validate_samplesheet.py