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Focus within the user's chosen field(s). Identify specific sub-directions through deep paper and web research, then present ranked candidates. Use after landscape-reconnaissance has identified fields of interest.
Passed 10 of 19 test cases with the skill, and 5 of 19 without it.
and 12 more in the full report
9 fixed3 passed either way8 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
Our team has been working on perovskite solar cell stability for two years. We want to identify specific research tracks within additive engineering to solve degradation. Can you scan literature and web sources, and give us ranked options so we can pick our next project?
| Checked | Without skill | With skill |
|---|---|---|
| Scans at least 80 papers in the literature search step | Missed | Passed |
| Reads at least 30 web pages in full during web investigation | Missed | Passed |
| Presents candidates structured as specific sub-problems and research tracks | Passed | Passed |
The instructions your model reads when the skill loads.
Focus within chosen field(s). Identify specific sub-directions and present ranked candidates.
| SOP | Purpose | Execution |
|---|---|---|
| broad-paper-search | Scan papers in the chosen field(s) | import: literature-overview |
| deep-web-search | Deep reading of web resources in the field | subagent |
| present-candidates | Present ranked sub-directions to user | dialogue |
present-candidates depth scales by start mode:
broad-paper-search: at least 80 papers scanneddeep-web-search: at least 30 web pages read in fullRankedCandidates[] + user's selection
Optional, no fixed order; the final leaf is always a sop.
| SOP | When to use |
|---|---|
| deep-web-search | Full-page web reading for non-academic perspectives — blogs, tech reports, product pages, industry analysis. Spawns a subagent to read pages in isolated context. Hard constraint: at least 30 web pages read in full. |
| north-star-crystallization-broad-paper-search | Paper landscape scan within selected field(s). Strict import of literature-engine/literature-overview skill. Hard constraint: at least 80 papers scanned. |
test cases passed, vs 5 / 19 without
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