research-gap-analysis
Skill9 starsChanged 5 months agoMITView on GitHub
Identifies missing information required to complete qualification, segmentation, or outreach preparation. Use when the user provides records and a goal and wants prioritized research gaps with sources.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- rudrathegreat/Astronomy-AI-Toolkittheir own version, first seen Aug 2, 2026
Other versions1 project uses a version of this.
Word for word · 0
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Wrote their own version · 1
- rudrathegreat/Astronomy-AI-Toolkit★ 2same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository23 other files it gives its agents.
- account-prioritizationSkill
- b2b-lead-qualificationSkill
- candidate-qualificationSkill
- company-data-normalizationSkill
- company-researchSkill
- company-research-workflow-plannerSkill
- company-segmentationSkill
- competitor-researchSkill
- directory-research-plannerSkill
- duplicate-record-reviewSkill
- job-title-normalizationSkill
- lead-list-analysisSkill
- lead-list-segmentationSkill
- lead-research-workflow-plannerSkill
- market-researchSkill
- outreach-brief-generatorSkill
- partner-qualificationSkill
- persona-classificationSkill
- person-researchSkill
- prospect-list-cleanupSkill
- recruiting-sourcing-plannerSkill
- supplier-qualificationSkill
- territory-segmentationSkill
The file
Files
Research Gap Analysis
Purpose
Identify missing information required to complete qualification, segmentation, or outreach prep.
When to use this skill
- Finding what blocks qualification or segmentation
- Prioritizing enrichment work
- Scoping research before outreach
- Turning "incomplete data" into a task list
When not to use this skill
- You have no goal to assess gaps against
- The dataset is already complete
- You want the gaps filled, not identified
Required inputs
- Records
- The goal (qualify, segment, or prep outreach)
Optional inputs
- Required fields for the goal
- Approved research sources
Rules
- Assess gaps against the stated goal.
- Explain why each gap matters and its impact.
- Suggest a realistic research source per gap.
- Prioritize gaps by impact.
- List assumptions to verify.
Process
- Parse the goal and required fields.
- Compare records to requirements.
- List missing fields and their impact.
- Suggest sources and assign priority.
- Record unresolved assumptions.
Output format
Return one record per identified gap with the following fields:
- missing_field
- why_it_matters
- impact_on_decision
- suggested_research_source
- priority
- unresolved_assumptions
Validation
- Confirm gaps map to the goal.
- Confirm priorities reflect impact.
- Confirm assumptions are flagged.
Limitations
- It identifies gaps; it does not fill them.
- Source suggestions may vary in availability.
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