jy00295005/decision-grade-memory/dgm-research-positioning
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Use for paper-first research positioning work in this repository: synthesize literature notes into a narrow problem framing, candidate research gap, strongest vs weakest thesis, contribution statements, and title options for decision-grade memory / SME decision support papers.
Install
npx vskill@latest install jy00295005/decision-grade-memory/dgm-research-positioningSKILL.md
DGM Research Positioning
Use this skill when the task is to turn existing literature review notes into a paper-facing positioning note.
When to use
Trigger this skill when the user asks to:
- position the paper
- identify the research gap
- move from review notes to problem framing
- distinguish evidence-backed synthesis from conceptual framing
- generate candidate contribution statements or titles
Typical repository inputs:
references/notes/docs/rq.mddocs/outline.md- existing review-analysis notes
Typical outputs:
docs/research_positioning.md- a positioning section inside a review note
- narrowed contribution statements
Core rules
- Write like a careful research collaborator, not like a product strategist.
- Prefer the narrowest defensible framing over the broadest interesting framing.
- Separate evidence-backed synthesis from conceptual framing explicitly.
- If the literature does not support a strong claim, downgrade the claim.
- Do not invent citations, results, or stabilized terminology.
- Treat
scenario memoryas a working design term unless the literature clearly supports stronger wording.
Workflow
- Read the strongest available literature notes first.
In this repo, start with the most synthetic notes before reading section drafts.
- Extract only four things:
- what the literature supports clearly
- what the literature suggests but does not settle
- what the paper can safely claim as a gap
- what should remain a working hypothesis
- Produce positioning with clear boundaries:
- problem framing
- why the problem is hard
- why current approaches are insufficient
- candidate research gap
- strongest and weakest thesis versions
- End with paper-useful outputs:
- candidate contribution statements
- candidate titles
Preferred structure
When creating a positioning note, prefer this order:
- Problem framing
- Why the target decision problem is hard
- Why current AI support is insufficient
- Candidate research gap
- Competing framings of the gap
- Strongest version of the thesis
- Weakest / most defensible version of the thesis
- What would count as evidence
- What would count as non-evidence
- Candidate contribution statements
- Candidate titles
Repository-specific guidance
- Keep terminology stable with the paper's method language:
scenario memorydecision episodedecision-grade contextgraph-based business memory- Align with the repo's academic writing discipline in
AGENTS.md. - If the positioning materially changes, add one concise follow-up item to
docs/todo.md.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingcodex/skills/dgm-research-positioning/SKILL.md
Popularity
- Repository stars
- 184
- Repository forks
- 18
- 7-day trend score
- 26
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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