NeoHaskell

Apply when sequencing an addition, refactor, or rewrite. Remove dead code, redundant validators, and stub references first, then build on the simpler base.

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Apply when you write, change, or keep a test. Assert what the code's users can observe, so that the test fails when that behavior breaks and keeps passing when only the internals change. Use property-based testing for contracts over many inputs.

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Apply when reviewing or shaping code that's hard to trace. Count layers between question and answer, and hidden state in the reader's head; collapse one-caller wrappers and shrink mutable scope.

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Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it. Use for /arena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape.

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Inspect or supervise a PR or stack through review and CI to merge-ready, using current GitHub evidence and the requested mode.

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Vet a perf measurement (limiter, tuning, limits, errors, repeatability, relevance, and whether the work happened) before you report or act on it. Use when you benchmark or report a measured speedup or regression, including complete framework flows and compilation of projects that consume the framework.

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Restate the last message in plain human language, with no jargon.

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Build or adapt a local harness to drive, inspect, and profile an interactive CLI or TUI without external services. Use for CLI UX checks, startup regressions, memory leaks, hangs, prompt flows, or terminal demos.

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Build or adapt a local browser/CDP harness to drive and inspect a web, IDE, or Electron UI. Use for local UI verification, screenshots, accessibility snapshots, perf profiles, visual diffs, or reproducing UI bugs.

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Generate a project-local verification skill for NeoHaskell framework, language and toolchain contracts. Use for /create-verification-skill, "make a control skill for this repo", or when the project lacks scripted proof of library, compiler, CLI or runtime-service behavior.

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Sweep the current repository's open Dependabot PRs on demand. Assess upgrade value, repair routine incompatibilities, merge verified upgrades, close unsuitable upgrades, and leave useful blocked upgrades open with a comment.

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Remove AI-generated code slop and clean up code style

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Select and run the maintained event-store regression fixtures against known-good and controlled-bad behavior when changing append preconditions, payloads, conflict refetch or concurrent stream creation.

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Design an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away. Scales rigor to the task, runs a hypothesis loop, and logs decisions. Use for /figure-it-out or 'figure it out'.

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Run matched baseline and treatment measurements for NeoHaskell framework flows, compiled test suites and consumer compilation, retaining workload counts, inputs and raw samples.

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Use for "how does X work", code walkthroughs before changing something, and placement / ownership / layering questions ("where should this live", "which package owns this", "is this the right layer"). Explains subsystem architecture, runtime flow, onboarding mental models. Use why for motivation.

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Use for "interrogate", "adversarial review", "independent review", "challenge this", "stress test this code", "find blind spots", or "tear this apart". Independent reviewers challenge changes from independent angles.

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