consequence-following
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/consequence-followingTraces logical consequences of a provocation to uncover insights and research paths
- Analyzes provocations to identify actionable research directions
- Relies on subagent-spawning and internal reasoning chains
- Uses structured logic to explore each consequence step-by-step
- Returns a chain of 3-5 insights as a completed consequence sequence
SKILL.md
.github/skills/consequence-followingView on GitHub ↗
--- name: consequence-following description: Follow a provocation's logical consequences step by step to extract viable insights and new research directions. execution: subagent prompt: ./prompt.md input: provocation_statement used-by: dominant-idea-escape --- ## Execution Subagent — spawned via subagent-spawning/spawn-agent. ## Budget One unit = one complete consequence chain (3-5 steps) for one provocation.