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Fuse the GoalTree root node and user motivation into a single crystallized North Star statement. Format: '[verb] [specific goal], through [method/path], solving [what problem], ultimately [what impact]'. Quality checks: specific? ambitious? achievable?
Passed 13 of 22 test cases with the skill, and 6 of 22 without it.
and 8 more in the full report
10 fixed3 passed either way6 still failing3 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
Provide a single directional sentence for our materials science initiative on lithium-metal batteries. We formulate ceramic-polymer composite electrolytes to mitigate dendrite short-circuiting at fast charge rates, with the long-term objective of doubling electric vehicle driving range.
| Checked | Without skill | With skill |
|---|---|---|
| The output conforms to the pattern '[verb] [specific goal], through [method/path], solving [what problem], ultimately [what impact]' | Missed | Passed |
The instructions your model reads when the skill loads.
Compress a validated goal structure into one specific, ambitious, achievable research North Star.
required: [goal_tree, constraints, intended_effect]
optional: [feasibility_annotations, actor_profile, evidence_context]
constraints: [the statement must preserve the declared outcome and limiting constraints]
produces: [north_star_statement, research_brief, traceability_map, unresolved_tensions]
delta_fields: [findings, hypothesis_updates, decisions, uncertainties, open_questions]
Do not turn a slogan into a North Star or omit constraints merely to make the sentence aspirational.
resolved: north-star-crystallization-crystallize-north-startest cases passed, vs 6 / 22 without
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