zoltar

Plugin zoltar from marketplace eidos-marketplace in eidos-agi/eidos-marketplace. Commands read from the repo's manifest — 1 month ago.

Skills (7)

• answer-foresight-question

  Answer a specific foresight decision question with researched evidence, a clear judgment, likely futures, user complaint prediction, and concrete changes. Use when Daniel asks whether an idea, implementation, plugin, architecture, or workflow is likely to be regretted, whether it is the right thing

• challenge-market-overfit

  Challenge whether a Zoltar prediction, product idea, plugin, workflow, category framing, or architecture is overfit to existing market patterns. Use when Daniel asks for a Challenger Matrix, anti-consensus review, category redefinition, frontier user needs, non-consensus futures, Doubter voice, or w

• handoff-to-doer-checker

  Convert Zoltar foresight findings into separate doer implementation instructions and checker validation instructions. Use when foresight needs to be handed to other agents, when Daniel asks for doer/checker splits, or when a future risk must become concrete acceptance criteria.

• predict-complaints

  Predict the specific future user complaint, regret, or trust failure a change is likely to trigger, grounding each complaint in inspected evidence and converting the top complaint into concrete preventive changes. Use when Daniel asks what he will complain about, what future user objection is likely

• predict-futures

  Compatibility entrypoint for Zoltar foresight. Use when Daniel mentions Zoltar, asks to predict the future, asks for second-order effects, asks what he will complain about, or wants future-backed product/spec changes; route the work through researched evidence, judgment, structured output, doer/chec

• research-futures

  Investigate current context before predicting likely futures, failures, user objections, and concrete changes. Use when Zoltar needs to research an app, plugin, architecture, workflow, plan, decision, or implementation and answer what is likely to go wrong, what evidence supports it, what complaint

• self-improve-zoltar

  Improve Zoltar by comparing prior foresight predictions against observed outcomes, user complaints, test results, implementation evidence, and checker feedback, then proposing concrete edits to Zoltar's research rules, prediction heuristics, output packet, doer/checker handoff, or plugin skills. Use

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