autodecision

Plugin autodecision from marketplace autodecision in harshilmathur/autodecision. Commands read from the repo's manifest — 1 month ago.

Skills (1)

• autodecision

  Auto-Decision Engine: iterative decision simulation using autoresearch principles and a persona council. Decomposes decisions, generates competing hypotheses, simulates first/second-order effects with probabilities, critiques via anonymized peer review, and iterates until insights stabilize mechanic

Slash commands (11)

• /autodecision:autodecision

  Run the full Auto-Decision Engine loop on a decision

• /autodecision:challenge

  Stress-test a proposed action — adversary-only mode, no full loop

• /autodecision:compare

  Compare two decisions side-by-side — either run fresh or compare existing runs

• /autodecision:deck

  Render a Decision Brief as a McKinsey-styled PPTX deck (~16 slides)

• /autodecision:export

  Export decision journal, assumptions, and briefs as a portable archive

• /autodecision:plan

  Interactive setup wizard — decompose and scope a decision

• /autodecision:publish

  Publish a Decision Brief — generate a PDF and route to wherever you can share it

• /autodecision:quick

  Quick single-pass decision analysis (no council, no iteration)

• /autodecision:review

  Review past decisions, compare predictions vs outcomes

• /autodecision:revise

  Revise a previous decision with changed assumptions, new hypotheses, or new data

• /autodecision:summarize

  Compress a Decision Brief into a shareable one-page summary

Subagents (5)

• council-competitor

  Competitor Strategist persona for the autodecision council. Optimizes for competitive dynamics and market response; thinks like the competition. Spawned during Phase 3 SIMULATE to independently generate effects chains for each hypothesis.

• council-customer

  Customer Advocate persona for the autodecision council. Optimizes for user value, adoption, and retention; thinks like the end user experiencing the decision's effects. Spawned during Phase 3 SIMULATE to independently generate effects chains for each hypothesis.

• council-optimist

  Growth Optimist + Creative Strategist persona for the autodecision council. Optimizes for revenue growth, market share, and creative alternatives others miss. Spawned during Phase 3 SIMULATE to independently generate effects chains for each hypothesis.

• council-pessimist

  Risk Pessimist persona for the autodecision council. Optimizes for capital preservation and risk mitigation; surfaces downside, failure modes, and hidden costs. Spawned during Phase 3 SIMULATE to independently generate effects chains for each hypothesis.

• council-regulator

  Regulator / Constraint Analyst persona for the autodecision council. Optimizes for compliance, sustainability, and long-term viability; surfaces legal, regulatory, and structural constraints. Spawned during Phase 3 SIMULATE to independently generate effects chains for each hypothesis.

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