Use when starting an AI system that will eventually face an audit, customer security review, or regulator. Scaffolds a Governance Binder — a folder layout and template set that the team fills in as they build, so evidence accumulates in lockstep with code rather than being reconstructed under deadline pressure.
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Install skill "innorve-evidence-binder" with this command: npx skills add Innorve-Inc/skillsmp-innorve-inc-innorve-inc-innorve-evidence-binder
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Use when the user has a governance rule, compliance requirement, regulatory constraint, or internal policy expressed in prose and needs to make it machine-enforceable. Coaches the engineer through translating natural-language rules into version-controlled policy code with explicit applicability, enforcement, and audit hooks. Invoke when a system has skills (IM-01) but governance still lives in PDFs, wikis, or "we just know."
Use when designing or operating an AI system and the right architectural posture is unclear — startup (lightweight), enterprise (formal controls), or regulated (strict approvals + immutable evidence). Coaches the user through environment, data classification, approval flow, and audit requirements, then produces a Tenant Posture Card that documents which posture applies and what it requires.
Use when a team or organization is starting to introduce AI into delivery work and needs an honest map of which SDLC phases have AI today, which don't, where humans must stay in the loop, and where the real capability gaps are. Coaches the user to produce a Capability Graph (Mermaid) and a Capability Map (text) covering all seven phases — Discover, Define, Build, Verify, Release, Operate, Learn.
Use when deciding whether an AI skill or agent is ready to graduate from one level to the next on the Skill Maturity Ladder (Incubating → Validated → Certified → Deprecated). Walks the user through gate criteria, produces a Maturity Gate Report that documents the decision, and lists specific actions to close any gaps.