brycewang-stanford — 9 Open-Source AI Agent Skills

brycewang-stanford is the author of 9 open-source AI agent skills and MCP servers spanning agent-tool, mcp-server, claude-skill, with a combined 6,571+ GitHub stars. On AgentSkillsHub each is quality-scored (avg 57/100) and security-graded — 6 verified safe.

Top skills by brycewang-stanford

• Auto-Empirical-Research-Skills — 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会 (3.8k★ · quality 56/100 · security: safe)
• Awesome-Agent-Skills-for-Empirical-Research — 🔬 A curated collection of 23,000+ agent skills for empirical research across 8 social science disciplines. | 精选 23,000+ AI Agent 技能库，覆盖8大社会 (1.2k★ · quality 57/100 · security: safe)
• Awesome-Journal-Skills — Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast tra (1.0k★ · quality 55/100 · security: safe)
• StatsPAI — StatsPAI is the first Agent-native Python library for causal inference and applied econometrics — unified API, broad cross-method coverage, (315★ · quality 63/100 · security: safe)
• Auto-Research-Skills — A curated hub of autonomous-research skills & agents — from idea to paper, on autopilot. | 自主科研技能与智能体精选库 —— 从灵感到论文全文，全程自动完成。 (151★ · quality 58/100 · security: safe)
• AER-Skills — Agent skills that help you publish in the AER faster — identification-first empirics, AEA-compliant replication, Keith-Head intros, R&R rebu (43★ · quality 61/100 · security: safe)
• stata-code — Agent-native Stata bridge for empirical research — run DiD/IV/RDD and publication-ready tables from Claude Code, Jupyter, or VS Code on one (36★ · quality 51/100)
• lit-review-agent-tools — 🤖 The strongest curated list of open-source AI-agent tools for literature review — 70+ tools across 11 categories (Claude Code skills, deep (16★ · quality 60/100)

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