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Deep Insight Engine with 5 campaigns (gap-analysis, insight, boundary-analysis, sensitivity-analysis, problem-reformulation).
Passed 13 of 19 test cases with the skill, and 8 of 19 without it.
and 5 more in the full report
7 fixed8 passed either way6 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
Here is a summary of our experimental results on neural architecture search. Please write a concise 250-word conference abstract adhering to NeurIPS guidelines summarizing our background, method, and key findings.
| Checked | Without skill | With skill |
|---|---|---|
| Provides concise conference abstract | Missed | Passed |
| Does not execute deep insight context checkpoints | Missed | Passed |
The instructions your model reads when the skill loads.
Deep insight engine — from surface phenomena to root causes, boundaries, assumptions, and the problem itself. Five campaigns, each a self-contained autonomous analysis domain. You provide a research gap or finding — the engine routes to the right campaign, selects a strategy, and executes autonomously with quantitative budget enforcement.
Strategy Book mode. This file is a textbook, not a script. CC reads, internalizes principles, then autonomously constructs the analysis approach for the specific research situation.
Hard constraints only:
Everything else — execution order, iteration count, tactic selection, SOP combination — is CC's autonomous decision.
ENTRY.md (this file)
→ Campaign (5): self-contained deep analysis domain
→ Strategy: selected by analysis purpose/intent
→ Tactic: multi-step orchestration pattern (reusable across strategies)
→ SOP: single operation (import or subagent)
CC can skip the tactic layer and use SOPs directly when the task is simple enough.
| Signal | Campaign |
|---|---|
| gap identification, gap classification, evidence mapping, prioritization, gap validation | → gap-analysis |
| root-cause analysis, stakeholders, tensions, HMW, assumption audit, 5 Whys | → insight |
| validity boundaries, method failure, robustness, distribution shift, scaling limits | → boundary-analysis |
test cases passed, vs 8 / 19 without
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