Systematic evidence map construction — search, classify, locate gaps, visualize. Combines concept-matrix-construction, gap-keyword-extraction, evidence-grading, and egm-construction SOPs.
NewMaintained
Automatic
◆Research pack
Last verified 8/22/2026
What it changes
Passed 15 of 19 test cases with the skill, and 15 of 19 without it.
Without skill77%
With skill77%
Checks it passed that the model alone missed
Verifies gap candidates using targeted keyword extraction from full texts
Constructs an articles by concepts matrix before generating the evidence gap map
2 fixed15 passed either way3 still failing2 broke
Pass-rate lift
0 pp
Tokens
+49%
Agent turns
0%
Response time
+20%
Model gemini-3.6-flashMeasured 8/22/2026v117 of 22 cases passed with skill · 19 comparable
Tokens, turns and time describe resource use, not a dollar price.
See it in action
One of 2 test cases the skill fixed. Same model, same prompt, with and without the skill.
1 of 2
Prompt
After noticing that mobile app monitoring has no entries under 'elderly patients over 80' in our concept matrix, what step verifies whether this is a true literature gap?
What was checked, without and with the skill
Checked
Without skill
With skill
Verifies gap candidates using targeted keyword extraction from full texts
Missed
Passed
case-13 · gemini-3.6-flash · 8/22/2026 · answers are capped and redacted
What's inside
The instructions your model reads when the skill loads.
SKILL.md47 linessingle file
Evidence Mapping
Systematically build evidence maps to reveal structural gaps.
Build concept matrix first (articles × concepts), identify empty cells as gap candidates, verify with keyword extraction from full texts, grade evidence quality in populated cells, construct final EGM for structural view.