Use this skill when the user wants questions that 'need reading everything', 'leave no file behind', 'spread the clues across many documents', 'list all entities associated with a topic', or 'test whether the model skips scattered fragments'. Trigger it for large multi-document bundles where the answer depends on broad coverage, assembling high-cardinality lists, or piecing together small discontinuous facts spread across massive reports.
[Case 1]
[Case 2]
[Case 3]
To synthesize data for this capability, you must strictly follow a 3-phase pipeline. Do not hallucinate steps. Read the corresponding reference file for each phase sequentially:
Phase 1: Environment Exploration
Read the exploration guidelines to discover raw knowledge seeds:
references/EXPLORATION.md
Phase 2: Trajectory Selection
Once Phase 1 is complete, read the selection criteria to evaluate the trajectory:
references/SELECTION.md
Phase 3: Data Synthesis
Once a trajectory passes Phase 2, read the synthesis instructions to generate the final data:
references/SYNTHESIS.md