drvoss

Use when designing prompts or agent tasks to optimize information delivery — minimize noise, maximize signal for AI agents

Use when a decision has multiple credible paths and no obvious winner — convene a four-voice council (Architect, Skeptic, Pragmatist…

Use when you're ready to define a feature before building it — generates a structured PRD using Jobs-to-be-Done thinking, success metrics…

Use when a question requires comprehensive evidence gathering from multiple sources, systematic synthesis, and traceable citations…

Use when removing old APIs, migrating to new patterns, or cleaning up legacy code — treats code as liability and follows a structured…

Use when a bug or performance issue is still fuzzy — build the fastest feedback loop first, rank the leading hypotheses, and instrument…

Use when code has changed and documentation may be out of date — identifies stale docs, finds gaps between implementation and docs, and…

Use when a non-trivial decision should not stand without a fresh-context challenge - isolate the artifact and contract, run an adversarial…

Use when you need end-to-end tests for critical user flows that unit tests can't cover — scaffolds Playwright/Cypress tests from the happy…

Use when you need to evaluate an LLM pipeline or AI feature systematically — sets up an eval harness with test cases, scoring rubrics, and…

Use when implementation is complete and tests pass but the branch itself is not yet resolved — verify tests, detect worktree vs. normal…

Use when you have a GitHub Issue number or link and want it resolved end-to-end — reads the issue, locates the bug, applies a fix, writes…