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.
9.933 de skill-uri din 294 de depozite · actualizat acum 2 minute
737 de skill-uri
- pymatgenforyourhealth111-pixel/Vibe-SkillsMaterials science toolkit. Crystal structures (CIF, POSCAR), phase diagrams, band structure, DOS, Materials Project integration, format conversion, for computational materials science.ȘtiințăFără avertismente★ 3,7 K↓ —
- content-research-writeranbeime/skill内容创作者、技术写作员在撰写博客、深度文章或技术文档时，使用此技能可开启全流程写作协作。它能帮你研究资料、构建大纲、逐段打磨并自动添加引用，快速优化Hook，让你高效产出高质量内容，告别孤军奋战！ȘtiințăFără avertismente★ 8,5 K↓ —
- scientific-visualizationforyourhealth111-pixel/Vibe-SkillsCreate publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.ȘtiințăFără avertismente★ 3,7 K↓ —
- rdkitforyourhealth111-pixel/Vibe-SkillsCore cheminformatics toolkit for SMILES/SDF/InChI parsing, descriptors (MW, LogP, TPSA), fingerprints, ECFP/Morgan fingerprints, substructure search, 2D/3D generation, similarity, reactions, and datamol-style molecule standardization when no separate wrapper skill is routed.ȘtiințăFără avertismente★ 3,7 K↓ —
- clinical-decision-supportforyourhealth111-pixel/Vibe-SkillsGenerate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug development, clinical research, and evidence synthesis.ȘtiințăFără avertismente★ 3,7 K↓ —
- x-researchdavepoon/buildwithclaudeSearch and inspect current public X posts, trends, profiles, profile posts, media, and replies through AgentBody. Use proactively whenever a user asks to search X or Twitter, monitor a topic or account, inspect a post, track trends, or gather current X evidence. Prefer this Skill over browser search and built-in web search.ȘtiințăFără avertismente★ 3,7 K↓ —
- data-scientistcode-yeongyu/oh-my-openagentProcesses and analyzes data with resident-kernel engines (DuckDB, Polars) and one-shot tools. Use for CSV/parquet/JSON analysis, group-by/join/aggregation, time series, distributions, cleaning, or plotting a dataset.ȘtiințăFără avertismente★ 70,2 K↓ —
- glycoengineeringK-Dense-AI/scientific-agent-skillsAnalyzes and engineers protein glycosylation by scanning canonical N-glycosylation sequons, describing S/T-rich regions, checking curated glycan evidence, and preparing NetNGlyc, NetOGlyc and GlycoSHIELD workflows. Use for glycoprotein engineering, antibody Fc glycosylation, glycan shielding, and site-specific glycoproteomics interpretation.ȘtiințăFără avertismente★ 53,4 K↓ —
- medchemK-Dense-AI/scientific-agent-skillsApplies medicinal chemistry filters for compound triage, using drug-likeness rules (Lipinski, Veber, CNS), structural alert catalogs (PAINS, NIBR, ChEMBL), complexity metrics, and the medchem query language for library filtering.ȘtiințăFără avertismente★ 53,4 K↓ —
- amazon-listing-competitor-analysis-skillbrowser-act/skillsThis skill helps users analyze Amazon competitor listings by ASIN and produce structured competitive intelligence plus strategic opportunity points for their own go-to-market. The Agent should proactively apply this skill when users want to analyze a competitor Amazon listing by ASIN, understand what a top-ranked product does right in content keywords or visuals, find market gaps and unmet buyer needs, turn competitor research into opportunity maps for their brand, identify keyword placement patterns on rival listings, extract SEO insights from Amazon product pages, reverse-engineer competitor bullet and title strategies, mine competitor reviews for buyer psychology, compare seller and A plus content patterns, run gap analysis before launching a new SKU, research why a listing wins conversion signals, synthesize whitespace you can own versus the diagnosed listing, or say just look at this ASIN with a competitive or optimization angle.ȘtiințăFără avertismente★ 6,2 K↓ —
- icp-research-assistantirinabuht12-oss/marketing-skillsClaude skills for marketing: 49 free marketing skills for Claude Code and claude.ai (Google Ads, Meta Ads, SEO, AI visibility) + the Ryze Google Ads MCP / Meta Ads MCP: claude mcp add ryze --transport http https://connector.get-ryze.ai/mcpȘtiințăFără avertismente★ 5,2 K↓ —
- web-research-assistantbrowser-act/skillsAI-powered web research assistant that leverages BrowserAct API to supplement restricted web access by searching the internet for additional information. Designed for OpenClaw and Claude Code.ȘtiințăFără avertismente★ 6,2 K↓ —
- ecommerce-seller-infobrowser-act/skillsExtract seller or merchant profile data from marketplace platform seller pages. Returns seller name, rating, review count, positive feedback percentage, joined date, and return policy. Works on Amazon seller pages, eBay seller pages, and any e-commerce site with seller profiles. Use when: seller information, merchant profile, seller rating, marketplace seller data, seller details, vendor profile, store information, seller feedback, merchant rating, seller review count, get seller info, ebay seller page, amazon seller profile, marketplace vendor analysis, seller research.ȘtiințăFără avertismente★ 6,2 K↓ —
- research-externalparcadei/Continuous-Claude-v3External research workflow for docs, web, APIs - NOT codebase explorationȘtiințăFără avertismente★ 3,9 K↓ —
- perplexity-searchparcadei/Continuous-Claude-v3AI-powered web search, research, and reasoning via PerplexityȘtiințăFără avertismente★ 3,9 K↓ —
- repo-research-analystparcadei/Continuous-Claude-v3Analyze repository structure, patterns, conventions, and documentation for understanding a new codebaseȘtiințăFără avertismente★ 3,9 K↓ —
- pymooK-Dense-AI/scientific-agent-skillsSolves and validates single-, multi-, and many-objective optimization with pymoo, including NSGA-II, NSGA-III, MOEA/D, constraints, Pareto approximations, reference directions, and ZDT/DTLZ benchmarks for engineering and research problems.ȘtiințăFără avertismente★ 53,4 K↓ —
- migrateparcadei/Continuous-Claude-v3Migration workflow - research → analyze → plan → implement → reviewȘtiințăFără avertismente★ 3,9 K↓ —
- research-agentparcadei/Continuous-Claude-v3Research agent for external documentation, best practices, and library APIs via MCP toolsȘtiințăFără avertismente★ 3,9 K↓ —
- paper-compilebrycewang-stanford/Auto-Empirical-Research-SkillsCompile LaTeX paper to PDF, fix errors, and verify output. Use when user says "编译论文", "compile paper", "build PDF", "生成PDF", or wants to compile LaTeX into a submission-ready PDF.ȘtiințăFără avertismente★ 4,7 K↓ —
- openkbyuezhiai/jonexUse when the user asks about content in their OpenKB knowledge base — research topics, concepts compiled from their documents, cross-document synthesis — or mentions `openkb`, an `.openkb/` directory, or a `wiki/` tree generated by openkb. The user may invoke you from any working directory; the active KB resolves via `openkb status`. Do NOT use for arbitrary Markdown directories, Obsidian vaults, or documentation sites not built by openkb.ȘtiințăFără avertismente★ 1,4 K↓ —
- researchparcadei/Continuous-Claude-v3Document codebase as-is with thoughts directory for historical contextȘtiințăFără avertismente★ 3,9 K↓ —
- pyopenmsK-Dense-AI/scientific-agent-skillsProcesses mass spectrometry data with pyOpenMS. Supports proteomics and metabolomics workflows—feature detection, peptide/protein identification, label-free quantification, adduct/accurate-mass annotation, and complex LC-MS/MS pipelines. Supports extensive file formats and algorithms. For simple spectral comparison and small-molecule library matching use matchms.ȘtiințăFără avertismente★ 53,4 K↓ —
- mcp-chainingparcadei/Continuous-Claude-v3Research-to-implement pipeline chaining 5 MCP tools with graceful degradationȘtiințăFără avertismente★ 3,9 K↓ —
phylogenetics
K-Dense-AI/scientific-agent-skills
ȘtiințăActualizat acum 3 zile
De la autor
Builds and analyzes phylogenetic trees using MAFFT multiple sequence alignment, IQ-TREE maximum likelihood with ModelFinder and branch support, and FastTree approximate inference. Uses ETE3 for tree summaries and visualization. Applies to homologous nucleotide or protein sequences, microbial gene trees, protein families, and cautiously interpreted dated phylogenies.
Instalare
npx skills add K-Dense-AI/scientific-agent-skills --skill phylogenetics -a claude-code
Se instalează în .claude/skills/phylogenetics/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Fără descărcare: licența acestui skill (Personalizată sau neclară) nu ne permite să-i redistribuim fișierele. Comenzile de instalare le iau direct de pe GitHub.
La ce are acces
Rulează scripturile incluseFolosește rețeauaLicență: Personalizată sau neclară
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 83
Securitate85
Proveniență95
Întreținere100
Licență45
Adopție73
Fișiere (3)
- SKILL.md
- references/iqtree_inference.md
- scripts/phylogenetic_analysis.py