Jeffrey Emanuel's agent swarms: deep skills encoding adversarial multi-agent review workflows
doodlestein · x · 2026-10-13
Jeffrey Emanuel, author of "The Gentle Art of Schlep Blindness," describes his highly meta agent workflow: prompts are essentially laundry lists of skills applied to projects he's been "passively" developing for weeks, with agent swarms implementing his comprehensive plan largely autonomously.
In a follow-up he notes many of those skills are deep "machines" with sophisticated machinery:
- modes-of-reasoning-project-analysis (2,858 installs): 6-persona voting, independent claim audit, and decision-focused synthesis — "essays are not claims; votes are not evidence"
- brennerbot-with-ntm (2,409 installs): Brenner-style hypothesis research on native NTM swarms; no falsifier, no session
- reality-check-for-project (2,524 installs): extracts a goal checklist from README/plan docs and gap-analyzes code reality (Working/Partial/Stub/Missing)
A concrete example of managing multi-agent complexity and adversarial review through structured skills.
Related event: Developer shows agent swarm workflow driving thousands of AI-made commits(4 posts)→
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