II.
Page overview
Reference · livepage:docs-reference-repos-clawhub-parags-deep-research-pro-research
parags/deep-research-pro overview
Inspect the raw attributes, linked wiki pages, and inbound or outbound graph edges for page:docs-reference-repos-clawhub-parags-deep-research-pro-research.
Attributes
nodeKind
Page
sourcePath
docs/reference-repos/clawhub/parags/deep-research-pro/research.md
sourceKind
repo-docs
title
parags/deep-research-pro
displayName
parags/deep-research-pro
slug
docs/reference-repos/clawhub/parags/deep-research-pro/research
articlePath
wiki/docs/reference-repos/clawhub/parags/deep-research-pro/research.md
article
# 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
- **deep-research**: Multi-source research with cited report synthesis
- 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
## Plugin Ideas
None directly. The DDG search dependency is ClawHub-specific infrastructure, not a babysitter plugin pattern.
## Library Mapping
| Extractable Process | Library Status | Action | Existing Path | Target Placement |
|-------------------|----------------|--------|---------------|------------------|
| Deep Research Methodology | NEW | 6-step research workflow: clarify → plan sub-questions → multi-source search → deep-read → synthesize → deliver | - | specializations/shared/deep-research-methodology.js |
| Sub-Question Decomposition | NEW | Breaking research topics into 3-5 orthogonal sub-questions for systematic coverage | - | specializations/shared/sub-question-decomposition.js |
| Multi-Keyword Search Strategy | NEW | 2-3 keyword variations per sub-question with web/news source mixing | - | specializations/shared/multi-keyword-search-strategy.js |
| Confidence-Scored Report Generation | NEW | Research report synthesis with High/Medium/Low confidence ratings based on source quality | - | specializations/shared/confidence-scored-report-generation.js |
## Plugin Marketplace Mapping
| Plugin Idea | Marketplace Status | Action | Existing Plugin | Target Placement |
|-------------|-------------------|--------|-----------------|------------------|
| N/A | N/A | No plugin ideas identified - DDG search dependency is ClawHub-specific | - | N/A |
## 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.
documents
[]
Outgoing edges
None.
Incoming edges
contains_page1
- page:docs-reference-repos·PageReference Repos