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.
9.795 de skill-uri din 286 de depozite · actualizat acum 38 de minute
731 de skill-uri
- clinical-reportsforyourhealth111-pixel/Vibe-SkillsWrite comprehensive clinical reports including case reports (CARE guidelines), diagnostic reports (radiology/pathology/lab), clinical trial reports (ICH-E3, SAE, CSR), and patient documentation (SOAP, H&P, discharge summaries). Full support with templates, regulatory compliance (HIPAA, FDA, ICH-GCP), and validation tools.ȘtiințăFără avertismente★ 3,7 K↓ —
- research-lookupforyourhealth111-pixel/Vibe-SkillsLook up current research information using Perplexity's Sonar Pro Search or Sonar Reasoning Pro models through OpenRouter. Automatically selects the best model based on query complexity. Search academic papers, recent studies, technical documentation, and general research information with citations.ȘtiințăFără avertismente★ 3,7 K↓ —
- cs-foundationsforyourhealth111-pixel/Vibe-SkillsMaster discrete mathematics, logic, formal proofs, and computational thinking. Build the mathematical foundation for all computer science.ȘtiințăFără avertismente★ 3,7 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↓ —
- mcp-chainingparcadei/Continuous-Claude-v3Research-to-implement pipeline chaining 5 MCP tools with graceful degradationȘtiințăFără avertismente★ 3,9 K↓ —
- perplexity-searchparcadei/Continuous-Claude-v3AI-powered web search, research, and reasoning via PerplexityȘtiințăFără avertismente★ 3,9 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↓ —
- 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↓ —
- StatsPAI_skillbrycewang-stanford/Auto-Empirical-Research-SkillsUse when the user asks to run a full empirical / causal analysis in Python — by default in the style of an applied economics paper (AER / QJE / JPE / ReStud / AEJ) with DID / RD / IV / SCM / DML / matching, written-out estimating equation + identifying assumption, Table 1 / Table 2 / event-study figure / robustness gauntlet — OR in epidemiology / public health style (target-trial emulation, IPTW + g-formula + TMLE triplet, Mendelian randomization, KM/AFT survival, E-value sensitivity, STROBE/TRIPOD reporting) — OR in ML causal inference style (DML, S/T/X/R/DR meta-learners, causal forest, Dragonnet/TARNet/CEVAE, BCF, CATE distribution, policy learning, conformal causal, fairness audit, causal discovery) — OR in distributional / gap-decomposition style (Oaxaca–Blinder `sp.oaxaca`, Kitagawa `sp.kitagawa_decompose`, DiNardo–Fortin–Lemieux `sp.dfl_decompose`, Gelbach `sp.gelbach`, Fairlie `sp.fairlie`, RIF / FFL `sp.rif_decomposition`, all reachable through the `sp.decompose` dispatcher). Also covers exporting muȘtiințăFără avertismente★ 4,7 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↓ —
- 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↓ —
- researchparcadei/Continuous-Claude-v3Document codebase as-is with thoughts directory for historical contextȘtiințăFără avertismente★ 3,9 K↓ —
- research-externalparcadei/Continuous-Claude-v3External research workflow for docs, web, APIs - NOT codebase explorationȘtiințăFără avertismente★ 3,9 K↓ —
- phylogeneticsK-Dense-AI/scientific-agent-skillsBuilds 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.ȘtiințăFără avertismente★ 53,4 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↓ —
- 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↓ —
- repo-research-analystparcadei/Continuous-Claude-v3Analyze repository structure, patterns, conventions, and documentation for understanding a new codebaseȘtiințăFără avertismente★ 3,9 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↓ —
- paper-posterbrycewang-stanford/Auto-Empirical-Research-SkillsGenerate a conference poster (article + tcbposter LaTeX → A0/A1 PDF + editable PPTX + SVG) from a compiled paper. Use when user says "做海报", "制作海报", "conference poster", "make poster", "生成poster", "poster session", or wants to create a poster for a conference presentation.ȘtiințăFără avertismente★ 4,7 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↓ —
- 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↓ —
- orchestraterohitg00/pro-workflowWire Commands, Agents, and Skills together for complex features. Use when building features that need research, planning, and implementation phases.ȘtiințăFără avertismente★ 2,9 K↓ —
- perplexitysoftaworks/agent-toolkitWeb search and research using Perplexity AI. Use when user says "search", "find", "look up", "ask", "research", or "what's the latest" for generic queries. NOT for library/framework docs (use Context7) or workspace questions.ȘtiințăFără avertismente★ 2,6 K↓ —
pyopenms
K-Dense-AI/scientific-agent-skills
ȘtiințăActualizat acum 3 zile
De la autor
Processes 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.
Instalare
npx skills add K-Dense-AI/scientific-agent-skills --skill pyopenms -a claude-code
Se instalează în .claude/skills/pyopenms/ · 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
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De ce 83
Securitate85
Proveniență95
Întreținere100
Licență45
Adopție73
Fișiere (24)
- SKILL.md
- references/data_structures.md
- references/feature_detection.md
- references/file_io.md
- references/identification.md
- references/metabolomics.md
- references/signal_processing.md
- scripts/_common.py
- scripts/accurate_mass_search.py
- scripts/align_link_quantify.py
- scripts/consensus_to_matrix.py
- scripts/convert_format.py
- încă 12