parags/deep-research-pro

• **Archetype**: methodology-repo
• **Stars**: 1
• **Last pushed**: 2026-02-03
• **License**: MIT
• **Discovered**: 2026-04-12
• **Source**: ClawHub skills
• **Skills found**: 1

Summary

A multi-source deep research agent skill for OpenClaw/Clawdbot. Implements a 6-step research methodology: understand goal, plan sub-questions, execute multi-source search (DuckDuckGo web + news), deep-read key sources, synthesize cited report, save and deliver. No API keys required. Includes Python DDG search script and curl-based page reading.

The skill defines a clear, replayable research workflow with quality rules (every claim needs a source, cross-reference, recency preference, acknowledge gaps, no hallucination). Reports follow a structured template with executive summary, themed sections with inline citations, key takeaways, and methodology notes.

Assessment

The research methodology is well-structured and directly maps to a babysitter process. The 6-step workflow (clarify -> plan sub-questions -> multi-source search -> deep-read -> synthesize -> deliver) is a clean multi-phase process with clear inputs/outputs at each stage. The quality rules are codifiable as verification criteria.

Low star count but high methodology quality. The DDG search dependency is ClawHub-specific but the methodology itself is tool-agnostic.

Extraction Priority

• High
• Rationale: Clean multi-step research methodology that maps directly to a babysitter process. The plan-search-synthesize pattern is domain-agnostic and reusable. Good candidate for specializations/shared/ or specializations/research/.

Extractable Value: parags/deep-research-pro

Processes

- Source: SKILL.md 6-step workflow - Placement: specializations/shared/deep-research - Complexity: moderate - Steps: (1) Clarify goal with 1-2 questions, (2) Break topic into 3-5 sub-questions, (3) Execute multi-source search with keyword variations, (4) Deep-read 3-5 key sources, (5) Synthesize structured report with inline citations, (6) Save and deliver - Quality gates: Every claim sourced, cross-referencing required, recency preference, gap acknowledgment, no hallucination - Output template: Executive summary, themed sections with citations, key takeaways, sources list, methodology notes

• **deep-research**: Multi-source research with cited report synthesis

Plugin Ideas

None directly. The DDG search dependency is ClawHub-specific infrastructure, not a babysitter plugin pattern.

Library Mapping

Plugin Marketplace Mapping

Implicit Procedural Knowledge

• **Sub-question decomposition pattern**: Breaking a research topic into 3-5 orthogonal sub-questions before searching is a reusable strategy for any information-gathering process.
• **Multi-keyword search strategy**: Using 2-3 keyword variations per sub-question, mixing web + news sources, and aiming for 15-30 unique sources provides a template for thorough coverage.
• **Confidence scoring**: The report includes a High/Medium/Low confidence rating based on source quality and cross-referencing, which maps well to babysitter breakpoint decisions.
• **Sub-agent delegation pattern**: The SKILL.md includes explicit sub-agent spawn instructions with task description, model selection, and wake-on-completion -- directly relevant to babysitter orchestrator task patterns.