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 20 de minute
722 de skill-uri
- 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↓ —
- 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↓ —
- mcp-chainingparcadei/Continuous-Claude-v3Research-to-implement pipeline chaining 5 MCP tools with graceful degradationȘtiințăFără 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- 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↓ —
- gepettosoftaworks/agent-toolkitCreates detailed, sectionized implementation plans through research, stakeholder interviews, and multi-LLM review. Use when planning features that need thorough pre-implementation analysis.ȘtiințăFără avertismente★ 2,6 K↓ —
- researchWeizhena/Deep-Research-skillsConduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.ȘtiințăFără avertismente★ 2,4 K↓ —Apare și în 1 alt depozit
- researchWeizhena/Deep-Research-skillsConduct preliminary research on a topic and generate research outline. For academic research, benchmark research, technology selection, etc.ȘtiințăFără avertismente★ 2,4 K↓ —
- researchWeizhena/Deep-Research-skills对目标话题进行初步调研，生成调研outline。用于学术调研、benchmark调研、技术选型等场景。ȘtiințăFără avertismente★ 2,4 K↓ —
- journal-digestbrycewang-stanford/Auto-Empirical-Research-Skills经济金融顶刊文献速递与选题建议生成器。通过RSS和网页抓取获取经济学、金融学、会计学顶级期刊的最新论文， 筛选公司金融相关文献，生成中文综述摘要和研究选题建议。 当用户提到"期刊速递"、"文献周报"、"论文速递"、"最新文献"、"journal digest"、"paper digest"、 "选题建议"、"研究选题"、"顶刊追踪"、"文献追踪"、"周报"时触发此技能。 即使用户只是说"帮我看看最近有什么新论文"或"最近顶刊发了什么"，也应该触发。ȘtiințăFără avertismente★ 4,7 K↓ —
- kaggle-researchbrycewang-stanford/Auto-Empirical-Research-SkillsUse when a research task needs reproducible Kaggle discovery, metadata inspection, bounded public-data downloads, competition or kernel discovery, model discovery, or an explicitly approved Kaggle write/delete operation through the official CLI.ȘtiințăFără avertismente★ 4,7 K↓ —
- medchemforyourhealth111-pixel/Vibe-SkillsMedicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and library filtering.ȘtiințăFără avertismente★ 3,7 K↓ —
- paper-submissionbrycewang-stanford/Auto-Empirical-Research-SkillsEvaluate a paper's contribution novelty, identify best-fit SSCI journal fields and ABS star rating, and recommend 20 target journals. Trigger when user says "paper submission" / "paper-submission" / "投稿评估" / "期刊推荐" / "target journal" / "选刊".ȘtiințăFără avertismente★ 4,7 K↓ —
- paper-writerbrycewang-stanford/Auto-Empirical-Research-SkillsAutomatically write empirical sections of academic papers in LaTeX by reading tables/figures from a PDF. Trigger when user wants to write a paper from empirical results, has tables/figures in PDF, or says "write paper" / "paper-writer" / "写论文".ȘtiințăFără avertismente★ 4,7 K↓ —