Input
Arguments: $ARGUMENTS
The arguments contain a theory ID (like T_20260414_...).
Execution Steps
You will run the streamline-theory skill multiple times, each in a separate parallel subagent, and each with a different instruction for which key story to focus on.
In particular:
- Launch one subagent to run
streamline-theorywith the instruction to focus on "the most novel aspect". Also pass it the input theory ID. - Launch one subagent to run
streamline-theorywith the instruction to focus on "the most insightful aspect". Also pass it the input theory ID. - Launch one subagent to run
streamline-theorywith the instruction to focus on "the most foundational aspect". Also pass it the input theory ID. - Launch one subagent to run
streamline-theorywith the instruction to focus on "the most universally applicable aspect". Also pass it the input theory ID. - Launch one subagent to run
streamline-theorywith the instruction to focus on "the most speculative and ambitious aspect". Also pass it the input theory ID.
All subagents can run in parallel. Each one will report back a new theory ID (e.g. T_20260414_150000_x1y2z3). Wait for all subagents to finish and collect their final result messages containing the returned theory IDs. Report the list of returned theory IDs as the output of this skill.