AI-Native SDLC

Plugin ai-native-sdlc in Yidada/benjamin-plugins. Commands read from the repo's manifest — 1 month ago.

Skills (7)

• ai-native-sdlc

  Coordinate the AI-native SDLC loop (Plan → Design → Build → Test → Deploy → Maintain) with committed artifacts, human gates and evidence, scaled by risk. Load only on explicit $ai-native-sdlc invocation. Supports bootstrap, start, resume, status, audit, and close.

• sdlc-build

  Implement a scoped software feature, bug fix or refactor: plan mode first, then code and tests with the repository toolchain and a self-verifying feedback loop. Use for requests to change code.

• sdlc-design

  Turn an intent into a requirements and design spec in one session, applying project and policy standards while writing and flagging conflicts. Use when an implementation needs behavior, architecture, API, data contract or compatibility decisions.

• sdlc-maintain

  Investigate software incidents, operational regressions, dependency drift and maintenance follow-ups; diagnose from a trigger, act only through gated routes, and write findings back as new intent. Use for software health, incident or maintenance tasks.

• sdlc-plan

  Capture a software request as intent in the originator's own words: problem, outcome, affected users and systems, constraints, out of scope, success examples, open questions. Use for software planning or ambiguous development requests.

• sdlc-release

  Prepare or execute a requested software PR, release, deployment or rollback with bidirectional review, target-specific verification and a hard stop at the production gate. Use for software delivery requests.

• sdlc-test

  Verify software changes, diagnose failing checks, review a diff with severity-ranked passes, or run evals on a model, prompt, skill, hook or instruction change. Use for testing, validation or review tasks.

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