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.
9.461 de skill-uri din 277 de depozite · actualizat acum 14 minute
722 de skill-uri
- bulk-rnaseqK-Dense-AI/scientific-agent-skillsPrepares 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.ȘtiințăFără avertismente★ 53,4 K↓ —
- infographicsK-Dense-AI/scientific-agent-skillsCreates and reviews infographics with Nano Banana 2 via OpenRouter. Use for statistical summaries, timelines, comparisons, processes, and visual explanations with supplied data or optional Sonar research. Supports ten layouts, eight style presets, reference images, and accessible palette starting points.ȘtiințăFără avertismente★ 53,4 K↓ —
- yc-readerhimself65/finance-skillsLook up Y Combinator companies and batches from the public yc-oss API, a static JSON dataset refreshed daily: company profiles, batch rosters (e.g. W25, S24), companies by industry or tag, top companies, who is hiring, founder-diversity lists, and overall YC stats. Use this skill whenever the user asks about YC-backed startups, a YC batch, YC companies in a sector or tag or that are hiring, the Y Combinator portfolio, or startup and venture research that draws on YC data. Read-only.ȘtiințăFără avertismente★ 3,4 K↓ —
- huggingface-paper-publisherhuggingface/skillsPublish and manage research papers on Hugging Face Hub. Supports creating paper pages, linking papers to models/datasets, claiming authorship, and generating professional markdown-based research articles.OficialȘtiințăFără avertismente★ 11,2 K↓ —
- product-demand-researchScrapeCreators/social-media-research-skillsUse when the user wants to validate a product idea, find pain points, mine demand signals, discover objections, or gather voice-of-customer language from Reddit, social posts, video transcripts, and comments. Produces evidence-backed product research.ȘtiințăFără avertismente★ 4,4 K↓ —
- competitor-social-researchScrapeCreators/social-media-research-skillsUse when the user wants to research competitors' social media strategy, compare brands or creators, find what content is working in a niche, identify content gaps, or produce a practical social strategy brief from public social data.ȘtiințăFără avertismente★ 4,4 K↓ —
- seo-new-keywords-researchzhuyansen/new-term-radarTurn new AI names or unstructured AI market signals into a keyword priority table. For each name it finds the generic search terms downstream of it, screens them for relevance, and checks novelty, demand size and momentum against Google Ads volume and Google Trends, ending in prioritize, watch or skip. Use when the user has new model, product or repository names (or an AI listening report, a batch of posts, a changelog) and asks which keywords to build pages or tools for. Runs the new-term-radar command line; needs an AISA_API_KEY, and a GOANYAPI_API_KEY improves it.ȘtiințăFără avertismente★ 1,6 K↓ —
- pulsealirezarezvani/claude-skillsMulti-source recency research skill that takes the pulse of any topic across Reddit, Hacker News, the open web, and optionally X/Twitter within a configurable recent window (default 30 days). Forcing intake clarifies topic specificity, angle (trend/sentiment/problems/opportunities/comparison), time window, and platform scope before searching. Returns a synthesized briefing with citations, engagement metrics, and cross-platform pattern analysis. Use when the user requests multi-source recency intelligence on a topic (e.g., 'pulse on [topic]', 'what's happening with [topic]', 'what are people saying about [topic]', 'current conversation about [topic]', 'take the pulse of [topic]', 'trending: [topic]', 'find me info on [topic]'), and for competitor research, trend discovery, tool comparisons, and audience sentiment analysis.ȘtiințăFără avertismente★ 28,5 K↓ —
- ai-listeningzhuyansen/new-term-radarCollect what is new in AI in the last 24 hours across X, Hugging Face, GitHub and sitemaps, deduplicated, as one report of names that are starting to surge. Use when the user asks what is new or trending in AI today, wants a daily AI listening report, or needs fresh names of models, products and repositories to feed keyword research. Runs the new-term-radar command line; needs an AISA_API_KEY.ȘtiințăFără avertismente★ 1,6 K↓ —
- capa-officeralirezarezvani/claude-skillsCAPA system management for medical device QMS. Covers root cause analysis, corrective action planning, effectiveness verification, and CAPA metrics. Use when running CAPA investigations, 5-Why analysis, fishbone diagrams, root cause determination, corrective action tracking, effectiveness verification, or CAPA program optimization.ȘtiințăFără avertismente★ 28,5 K↓ —
- self-evolving-single-agentagentlas-ai/Agentlas-OSUse when generating a single installable agent that should keep learning, track sources, refresh research, propose repairs, or improve itself over time without becoming a multi-agent team.ȘtiințăFără avertismente★ 1,6 K↓ —Apare și în 4 alte depozite
- audience-researchScrapeCreators/social-media-research-skillsUse when the user wants to evaluate a creator, influencer, or brand audience using public profile signals, TikTok audience demographics, follower/following data, comments, geography, language, and content fit. Helps judge sponsorship and market fit.ȘtiințăFără avertismente★ 4,4 K↓ —
- content-repurposingScrapeCreators/social-media-research-skillsUse when the user wants to turn public social videos, transcripts, posts, or creator research into reusable content assets such as LinkedIn posts, X threads, short-form scripts, newsletters, blog outlines, carousels, or content calendars.ȘtiințăFără avertismente★ 4,4 K↓ —
- influencer-prospectingScrapeCreators/social-media-research-skillsUse when the user wants to find creators, influencers, affiliates, or social accounts in a niche for outreach, partnerships, sponsorships, UGC, seeding, or competitive research. Produces scored prospect lists from public social data.ȘtiințăFără avertismente★ 4,4 K↓ —
- research-add-itemsWeizhena/Deep-Research-skillsAdd items (research objects) to existing research outline.ȘtiințăFără avertismente★ 2,4 K↓ —Apare și în 1 alt depozit
- grow-websitewondelai/skillsGuided journey from a website with traffic it under-converts to a research-driven growth engine that captures more leads, persuades more buyers, sells a sharper offer, and earns referrals. Orchestrates eight skills phase by phase - cro-methodology, scorecard-marketing, storybrand-messaging, made-to-stick, influence-psychology, hundred-million-offers, contagious, one-page-marketing - asking the user questions at every decision point and recording results in the project docs/ folder (WEBSITE.md, OFFER.md, MARKETING.md, GROW-WEBSITE-PLAN.md) so the journey resumes across sessions. Use when the user wants to raise conversion on a site that already has traffic, capture more leads, sharpen a weak offer, add referral loops, or says 'my site gets visitors but nobody buys'. If a broken funnel or usability friction is the real blocker, run improve-website first; if there is no site yet, use create-website; for one leaking flow, conversion-optimization. For one framework in isolation, invoke that skill directly.ȘtiințăFără avertismente★ 2,5 K↓ —Apare și în 2 alte depozite
- research-reportWeizhena/Deep-Research-skillsSummarize deep research results into markdown report, cover all fields, skip uncertain values.ȘtiințăFără avertismente★ 2,4 K↓ —
- research-reportWeizhena/Deep-Research-skillsSummarize deep research results into markdown report, cover all fields, skip uncertain values.ȘtiințăFără avertismente★ 2,4 K↓ —Apare și în 1 alt depozit
- paper-poster-htmlwanshuiyin/Auto-claude-code-research-in-sleepDEFAULT poster pipeline — build an academic conference poster (ICML/NeurIPS/ICLR/CVPR/...) as a single HTML/CSS file with measurement-driven hard gates, real paper figures, a two-hue design-token system, and print-ready PDF via headless Chromium. Use when the user says "做海报", "poster", "conference poster", "paper poster", or asks to design/redo a research poster. Supersedes the retired LaTeX /paper-poster.ȘtiințăFără avertismente★ 17,8 K↓ —
- research-add-fieldsWeizhena/Deep-Research-skills向现有调研outline补充字段定义。ȘtiințăFără avertismente★ 2,4 K↓ —
- notebooklmteng-lin/notebooklm-pyInstall, authenticate, troubleshoot, and operate Gemini Notebook through the notebooklm-py CLI or typed async Python API. Use for notebook and source management, grounded chat and research, and artifact generation or download when the user mentions Gemini Notebook, notebooklm-py, the notebooklm CLI, or its Python API. Do not use for the generic Gemini API or unrelated content creation.ȘtiințăFără avertismente★ 19,8 K↓ —
- research-add-fieldsWeizhena/Deep-Research-skillsAdd field definitions to existing research outline.ȘtiințăFără avertismente★ 2,4 K↓ —
- research-add-itemsWeizhena/Deep-Research-skills向现有调研outline补充items（调研对象）。ȘtiințăFără avertismente★ 2,4 K↓ —
- research-deepWeizhena/Deep-Research-skills读取调研outline，为每个item启动独立agent进行深度调研。禁用task output。ȘtiințăFără avertismente★ 2,4 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