gensokyo-skills

In the author's own words, from each skill's SKILL.md.

• aya-source-investigation

  Turn a disputed, current, or consequential claim into a source-backed brief by decomposing it, finding the closest authoritative evidence, checking dates and independence, and calibrating the conclusion. Use for fact-checking, rumor verification, news claims, provenance questions, or briefs that need links and explicit confidence. Do not use for mechanism reconstruction, broad literature synthesi…

  skills/aya-source-investigation/SKILL.md on GitHub (opens in a new tab)

• cirno-radical-simplification

  Strip an overcomplicated plan to a working design with at most three moving parts, expose the first real constraint that breaks it, and add complexity back only when justified. Use for architecture sprawl, tool overload, premature scaling, tangled workflows, or plans nobody can explain simply. Do not use to dismiss necessary safety, compliance, evidence, or domain complexity.

  skills/cirno-radical-simplification/SKILL.md on GitHub (opens in a new tab)

• eiki-rule-review

  Review conduct, content, code, or decisions against an explicit rule set by establishing authority and scope, separating facts from allegations, testing each required element, grading severity, and recommending a proportionate corrective action. Use for policy compliance, specification conformance, governance, moderation, or review standards. Do not use when no rule source is available or when th…

  skills/eiki-rule-review/SKILL.md on GitHub (opens in a new tab)

• gensokyo-commit-attribution

  Append truthful Assisted-by trailers when preparing, creating, or explicitly amending a Git commit whose staged changes were materially shaped by one or more Gensokyo character skills. Use for commit-message construction after a character workflow changed the commit's artifact, evidence, or decision. Do not use for merely installed, mentioned, or loaded skills; analysis that did not affect the st…

  skills/gensokyo-commit-attribution/SKILL.md on GitHub (opens in a new tab)

• kogasa-surprise-testing

  Discover plausible inputs, state transitions, orderings, and dependency behaviors that violate an expected contract, prove the smallest genuine surprise, and forge it into a deterministic regression test. Use for edge-case design, negative testing, failure injection, fragile happy paths, or bugs that need a durable test. Do not use for purely conceptual assumption challenges, open-ended feasibili…

  skills/kogasa-surprise-testing/SKILL.md on GitHub (opens in a new tab)

• marisa-rapid-prototyping

  Convert an uncertain idea into the smallest runnable experiment, reuse relevant prior art, observe a decisive signal, and scale only after evidence. Use for spikes, proof-of-concepts, feasibility questions, unfamiliar libraries, or competing implementation approaches. Do not use when the main need is incident containment, exhaustive research, or production rollout planning.

  skills/marisa-rapid-prototyping/SKILL.md on GitHub (opens in a new tab)

• nitori-reverse-engineering

  Reconstruct how an existing artifact or system works by inventorying observable surfaces, mapping interfaces and flows, forming competing mechanism hypotheses, probing them safely, and building a minimal explanatory replica. Use for undocumented formats, protocols, binaries, devices, legacy behavior, compatibility work, or mysterious black boxes. Do not use for choosing whether a new idea is feas…

  skills/nitori-reverse-engineering/SKILL.md on GitHub (opens in a new tab)

• reimu-incident-triage

  Isolate the real abnormal condition in a noisy incident, reduce it to the smallest relevant scope, and choose a minimal reversible recovery with explicit verification. Use for regressions, outages, flaky failures, broken workflows, or messy bug reports with many symptoms and competing explanations. Do not use for open-ended invention, routine implementation, or interface design when no incident e…

  skills/reimu-incident-triage/SKILL.md on GitHub (opens in a new tab)

• sakuya-checkpointed-execution

  Convert a risky multi-step operation into a dependency-ordered runbook with observable checkpoints, irreversible-action gates, honest rollback or compensation paths, abort conditions, and end-to-end verification. Use for deployments, migrations, cutovers, key rotations, bulk transformations, or maintenance where partial failure matters. Do not use for diagnosing an unknown incident, generic calen…

  skills/sakuya-checkpointed-execution/SKILL.md on GitHub (opens in a new tab)

• seija-assumption-inversion

  Expose hidden assumptions in a consensus, strategy, requirement, or design by stating the default precisely, inverting one assumption at a time, constructing the strongest falsifiable counterexample, and reconciling the result with evidence. Use for adversarial reframing, pre-mortems, stuck debates, suspicious unanimity, or requirements treated as inevitable. Do not use to deny established facts,…

  skills/seija-assumption-inversion/SKILL.md on GitHub (opens in a new tab)

• suika-scatter-gather-planning

  Decompose one bounded deliverable into genuinely independent work packets, give each packet an ownership and evidence contract, and recombine the results through an explicit merge order and integrated acceptance check. Use for parallel contributors, subagents, multi-package changes, or large work with real dependency seams. Do not use to delete unnecessary complexity, diagnose a failing interface…

  skills/suika-scatter-gather-planning/SKILL.md on GitHub (opens in a new tab)

• yukari-boundary-analysis

  Diagnose systems by mapping interfaces, ownership, trust zones, lifecycle transitions, and edge conditions, then trace failures across the most suspicious boundary. Use for integration bugs, distributed systems, API mismatches, unclear responsibility, state transitions, migrations, or failures that appear only between otherwise working components. Do not use for a clearly local bug or generic arc…

  skills/yukari-boundary-analysis/SKILL.md on GitHub (opens in a new tab)

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