deep-research-frameworkStructured deep research framework with explicit feedback loops and mental model evolution. Inspired by VeriTrace and Agentic System Scaling papers.
Install via ClawdBot CLI:
clawdbot install sdt328606/deep-research-frameworkGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Generated Aug 3, 2026
A startup founder uses the deep research framework to systematically analyze competitors' products, technologies, and market positioning. The structured approach ensures comprehensive coverage and actionable insights, guiding product roadmap and marketing strategies.
A PhD candidate applies the framework to conduct a thorough literature review, tracking how their mental model of the research field evolves. The RAPID evaluation helps prioritize papers and identify gaps, leading to a well-defined thesis contribution.
A healthcare consulting firm uses the framework to investigate emerging medical technologies and patient needs. The structured process ensures evidence-based recommendations for clients, with clear action items and validation steps.
An R&D team at a large corporation employs the framework to scan for new tools, patents, and research that could impact their product development. The mental model evolution and bias tracking help avoid tunnel vision, leading to more innovative solutions.
A policy analyst uses the deep research framework to gather evidence on social issues and policy options. The iterative feedback loops ensure that assumptions are tested and revised, leading to more robust and adaptable policy recommendations.
Offer a platform that integrates the deep research framework with AI-powered search and collaboration tools. Teams pay a monthly or annual subscription fee to access the framework, templates, and analytics.
Provide consulting services to organizations that need structured deep research on complex topics. The framework is used to deliver high-quality insights and actionable recommendations, billed on a project or hourly basis.
Offer workshops and certification programs for individuals and teams to learn the deep research methodology. Generate revenue through training fees and upselling advanced toolkits or mentorship.
💬 Integration Tip
Integrate the framework with existing note-taking and research tools (e.g., Notion, Obsidian) to streamline workflow. Start with a simple template and gradually implement the full RAPID evaluation and mental model checkpoints.
Scored Aug 3, 2026
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
Transparent, rigorous research with full methodology — not a black-box API wrapper. Conducts exhaustive investigation through mandated 2-cycle research per theme, APA 7th citations, evidence hierarchy, and 3 user checkpoints. Self-contained using native OpenClaw tools (web_search, web_fetch, sessions_spawn). Use for literature reviews, competitive intelligence, or any research requiring academic rigor and reproducibility.
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另一个TA:输入人名/主题/模糊需求/网络链接/已有Skill,自动深度调研→框架提炼→生成完整 Agent 人设文件包,直接覆盖当前 Agent workspace 的人设文件。 五种入口:(1)明确人名→蒸馏为Agent (2)模糊需求→诊断推荐→再蒸馏 (3)网络链接→基于内容蒸馏 (4)已有Skill→读...