GPT Researcher is an autonomous deep research agent that conducts web and local research, producing detailed reports with citations. Use this skill when helping developers understand, extend, debug, or integrate with GPT Researcher - including adding features, understanding the architecture, working with the API, customizing research workflows, adding new retrievers, integrating MCP data sources, or troubleshooting research pipelines.
npx skills add https://github.com/assafelovic/gpt-researcher/tree/main/skills/gpt-researcherGPT Researcher is an autonomous deep research agent that conducts web and local research, producing detailed reports with citations. Use this skill when helping developers understand, extend, debug, or integrate with GPT Researcher - including adding features, understanding the architecture, working with the API, customizing research workflows, adding new retrievers, integrating MCP data sources, or troubleshooting research pipelines.
English LaTeX paper assistant for existing .tex conference and journal manuscripts (IEEE, ACM, Springer, NeurIPS, ICML). Use for compile diagnosis, venue formatting, BibTeX or Biber checks, grammar, logic, abstract, title, figure, table, pseudocode (algorithm2e, algorithmicx, algpseudocodex), experiment-section review, related-work synthesis, research-gap derivation, journal adaptation, de-AI polish, translation, or submission readiness. Trigger for prompts like "proofread my LaTeX paper", "fix my .tex build", "rewrite related work", "derive research gap", "check booktabs table", "review algorithm2e pseudocode", "改投会议", or "换投期刊". Use latex-thesis-zh for Chinese degree theses, typst-paper for .typ projects, and paper-audit for reviewer-style critique.
🤖 Local-assist BOSS Zhipin CLI for AI agents — search, welfare filtering, shortlist, JSON-envelope output; low-risk & compliant by default.
GitHub repository for wudi1213a-netizen/academic-research-skill updated in the agent skills ecosystem.
Automate Supadata tasks via Rube MCP (Composio). Always search tools first for current schemas.
Darwin Skill 2.0 (达尔文.skill 2.0): autonomous skill optimizer, v2.0 integrates Microsoft Research SkillLens (arXiv 2605.23899) 9-dim rubric + SkillOpt (arXiv 2605.23904) validation-gated design + human-in-the-loop checkpoints. Evaluates SKILL.md files using a 9-dimension rubric (structure + effectiveness + meta-skill blacklists), runs hill-climbing with git version control, spawns independent judge agents for blind evaluation, validates improvements through test prompts with auto-break on diminishing returns, and generates visual result cards. Use when user mentions "优化skill", "skill评分", "自动优化", "auto optimize", "skill质量检查", "达尔文", "darwin", "帮我改改skill", "skill怎么样", "提升skill质量", "skill review", "skill打分".
Agent skill repository discovered by 10x-chat research.