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Gap Analysis Campaign — identify, classify, validate, and prioritize research gaps via systematic evidence mapping. 5 strategies (gap-identification, gap-classification, gap-validation, gap-prioritization, gap-synthesis), 3 tactics, 12 subagent SOPs.
Passed 14 of 19 test cases with the skill, and 12 of 19 without it.
and 3 more in the full report
5 fixed12 passed either way4 still failing2 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.
We just completed the gap-validation phase for our literature campaign on AI ethics in healthcare. We need to record our verified gaps and process details into our campaign state before moving to the prioritization strategy. Which operational process step should be executed to persist state?
| Checked | Without skill | With skill |
|---|---|---|
| Invokes context-checkpoint to persist state after strategy completion. | Missed | Passed |
The instructions your model reads when the skill loads.
Identify, classify, validate, and prioritize research gaps via systematic evidence mapping.
This campaign is a strategy book — CC reads, internalizes, and autonomously constructs an approach. The SKILL.md files are textbooks, not scripts. CC decides execution order, depth, and iteration based on research context.
| Signal | Strategy |
|---|---|
| Search for gaps, identify what is missing, concept matrix, keyword extraction | → gap-identification |
| Classify gap types, Miles 7-type, Müller-Bloch 6-type | → gap-classification |
| Verify gap authenticity, cross-database verification, temporal sensitivity, false gaps | → gap-validation |
| Rank priority, AHRQ PiCMe, feasibility, importance | → gap-prioritization |
| Generate report, evidence map, research agenda, concept matrix | → gap-synthesis-strategy |
Import (5): web-search, web-research, paper-overview, paper-search, paper-research
Subagent (12): gap-keyword-extraction, concept-matrix-construction, egm-construction, gap-typology-classification, ahrq-reason-classification, cross-database-verification, false-gap-filtering, temporal-sensitivity-testing, multi-criteria-scoring, stakeholder-confirmation, evidence-grading, gap-synthesis
Shared (2): evidence-synthesis, multi-stakeholder-simulation
context-checkpoint after each strategy completes. Accumulated state persists across strategies within a campaign run.
test cases passed, vs 12 / 19 without
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