claude

ai-sdlc

A plugin for the software development lifecycle (SDLC) of the AI team

0 on GitHubby MLL AI Teamv1.6.0MITupdated 1 month agodevelopment
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Plugin ai-sdlc from marketplace mll in mll-lab/claude-plugin-marketplace. Commands read from the repo's manifest — 1 month ago.

This plugin runs code on your machine — its hooks fire automatically on events like tool use. The exact commands are listed below; read them before installing.

What it installs

Skills (3)

  • ai-instructions-improver

    Use when auditing, reviewing, improving, fixing, checking, updating, shrinking, or tightening a project's AI instruction files - CLAUDE.md, CLAUDE.local.md, ~/.claude/CLAUDE.md, AGENTS.md - including when one has grown long, repetitive, or stale, when sessions seem to ignore what it says, when decid

  • copilot-loop

    Bounded resolution loop for GitHub Copilot automated PR reviews. Use after a PR is opened and Copilot has (or will) review it, or when the user says "address the Copilot review", "handle the Copilot comments", or "resolve the Copilot threads". Runs at most 5 rounds - fixing justified findings, pushi

  • feature-pipeline

    The canonical end-to-end feature-delivery pipeline. Use when the user wants to take a Jira issue (or a described feature) from idea to a reviewed PR - e.g. "look at AI-123 and implement it", "ship this feature", "run the pipeline". Covers spec brainstorming, adversarial spec challenge, an implementa

Slash commands (9)

  • /ai-sdlc:code-review-address

    Stage 6 - run the bounded Copilot resolution loop (max 5 rounds) on a PR, then stop and report.

  • /ai-sdlc:feature-ship

    Run the full feature-delivery pipeline for a Jira issue, pausing at the human review gates (spec approval, review-loop exit).

  • /ai-sdlc:git-cleanup

    Post-merge cleanup - pull the PR's base branch and delete the merged local branch (and worktree). Run after you have merged the PR.

  • /ai-sdlc:implement

    Stage 4 - implement the plan. Defaults to subagent-driven development; uses inline execution only for trivial changes.

  • /ai-sdlc:plan

    Stage 3 - turn an approved spec into an implementation plan via superpowers:writing-plans.

  • /ai-sdlc:pr-open

    Stage 5 - commit, push, and open a PR linked to the Jira issue.

  • /ai-sdlc:revise-ai-instructions

    Capture what this session taught into the right AI instruction file - redacted first, then gated by the three subtractive tests, so it adds only what earns its place and never writes session secrets into a committed file.

  • /ai-sdlc:spec-challenge

    Run the adversarial spec-challenger (Opus) on a spec on demand, and fold in justified findings.

  • /ai-sdlc:spec

    Stage 1+2 - brainstorm a spec from a JIRA issue, then run the adversarial spec-challenger and fold in justified findings. Stops for your approval.

Subagents (1)

  • spec-challenger

    Use after a spec is drafted (Stage 2 of the feature-pipeline) to attack it before any code is written - an adversarial reviewer for a feature spec / design document that finds gaps, ambiguities, unstated assumptions, edge cases, and weak design decisions. Returns a severity-tagged critique and an ov

Hooks (1)

  • PreToolUse

    python3 "${CLAUDE_PLUGIN_ROOT}/hooks/guard-claude-spelling.py"

View source on GitHub

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