deep-research-agentDeep research and analysis agent for any topic. Use when the user wants to research a topic, analyze competitors, evaluate technologies, compare tools, inves...
Install via ClawdBot CLI:
clawdbot install jahonn/deep-research-agentGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://agentskills.ioAudited Apr 17, 2026 · audit v1.0
Generated May 8, 2026
A CTO evaluating whether to adopt a new database technology like YugabyteDB for their SaaS platform. The agent produces a decision framework with scoring across cost, effort, risk, fit, and longevity, plus a recommendation with confidence level.
A product manager at a fintech startup wants to map the competitive landscape for digital wallet solutions. The research agent categorizes direct and adjacent competitors, identifies gaps, and highlights opportunities for differentiation.
A marketing director needs to compare HubSpot vs Marketo vs Salesforce Marketing Cloud for their B2B company. The agent generates a side-by-side comparison matrix with scoring across features, ease of use, cost, and ecosystem, and provides a context-specific recommendation.
A healthcare consultant researching the impact of AI on medical diagnostics. The deep dive mode spawns a subagent to gather and evaluate sources, identify patterns, and produce a structured report with executive summary, findings, and sources.
A journalist writing an article on renewable energy needs a quick summary of current solar panel efficiency records. The quick research mode delivers a one-paragraph summary with three key facts, sourced and verified.
The research agent is offered as an add-on skill within a larger AI agent platform, charging per research query or monthly subscription tiered by number of deep dives. Value lies in saving hours of manual research time for knowledge workers.
Embedded into consulting firms' workflow to rapidly produce structured analysis for client engagements, such as market landscape reports or technology evaluations. Consulting firms bill clients for the output at a premium, incorporating the agent as a productivity multiplier.
Corporations license the research agent for their entire organization, enabling teams (product, marketing, strategy, R&D) to conduct on-demand research. The agent integrates with internal knowledge bases and collaboration tools.
💬 Integration Tip
To integrate, add the agent as a skill in your AI assistant platform and trigger it with natural language queries like 'research,' 'compare,' or 'deep dive.' For best results, ensure web search access is enabled and set a default model (e.g., Sonnet for deep dives, Haiku for quick facts).
Scored Apr 19, 2026
Multi-source deep research agent. Searches the web, synthesizes findings, and delivers cited reports. No API keys required.
Deep research on Xiaohongshu (小红书) topics. Use when user wants to research a topic, analyze trends, gather insights from top posts, or produce a summary repo...
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.
Conduct open-ended research on a topic, building a living markdown document. Supports interactive and deep research modes.
Conduct comprehensive research independently. Find information, analyze sources, synthesize findings, and create detailed reports without human guidance.
Monitor Google Trends - get trending searches, compare keywords, and track interest over time. Use for market research, content planning, and trend analysis.