# Streamline Theory Variations

> Streamline a theory down to its core essence, selecting a few different options.

- Skill: `imbue-ai/streamline-theory-variations` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add imbue-ai/streamline-theory-variations`
- Raw SKILL.md: https://api.skillmd.com/api/skills/imbue-ai/streamline-theory-variations/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: imbue-ai (https://skillmd.com/u/imbue-ai)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/imbue-ai/streamline-theory-variations

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## 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:
1. Launch one subagent to run `streamline-theory` with the instruction to focus on "the most novel aspect". Also pass it the input theory ID.
2. Launch one subagent to run `streamline-theory` with the instruction to focus on "the most insightful aspect". Also pass it the input theory ID.
3. Launch one subagent to run `streamline-theory` with the instruction to focus on "the most foundational aspect". Also pass it the input theory ID.
4. Launch one subagent to run `streamline-theory` with the instruction to focus on "the most universally applicable aspect". Also pass it the input theory ID.
5. Launch one subagent to run `streamline-theory` with 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.