Core SDLC rules, validators, enforcement, and workflows
Plugin sdlc-core from marketplace ai-first-sdlc in SteveGJones/ai-first-sdlc-practices. 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.
commissionCommission a project to an SDLC option bundle (solo / single-team / programme / assured). Asks structured questions, recommends an option × level, installs the bundle, and records the decision in .sdlc/team-config.json.
commitValidated commit — runs quick checks before committing. Use when ready to commit changes.
new-featureCreate a new feature with proposal, retrospective, and branch. Use when starting new development work.
prCreate a pull request with full validation. Use when ready to submit work for review.
release-pluginPackage source files into plugin directories using release-mapping.yaml. Use when preparing a plugin release.
rulesAI-First SDLC compliance rules and standards. Use when checking code quality, validating architecture, enforcing zero technical debt, or making any compliance decision.
setup-ciGenerate a GitHub Actions workflow for SDLC validation. Use when setting up CI/CD for a new project.
setup-teamConfigure SDLC team formation and SDLC method for this project. Asks the four-option SDLC method question (solo / single-team / programme / assured), then recommends and installs team plugins based on project type, language, tech stack, and support needs.
validateRun the SDLC validation pipeline using direct tool invocations. No wrapper scripts required. Use when checking code quality before commits or PRs.
code-review-specialistExpert in code quality, security vulnerabilities (OWASP Top 10), language-specific patterns (Python/JS/Go/Java/Rust), and automated review tools. Use for PR reviews, security assessments, and review process setup.
critical-goal-reviewerExpert in requirements verification, goal alignment validation, and gap analysis for completed work. Use after implementing features, completing code sections, or finishing design work to ensure alignment with original requirements and identify de...
sdlc-enforcerExpert in AI-First SDLC compliance enforcement, progressive quality gates, Zero Technical Debt policy, and process validation. Use for real-time compliance checking during development, branch protection validation, workflow guidance, and ensuring...
verification-enforcerEnforces documentation-code fidelity, test coverage, and runtime verification. Use at every phase transition to verify that docs match code, tests exist and pass, and the application actually runs. Mandatory gate — nothing ships without proof.
bash ${CLAUDE_PLUGIN_ROOT}/scripts/session-banner.sh
python ${CLAUDE_PLUGIN_ROOT}/scripts/check-tmp-usage.py
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16 skills · 4 agents
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6 skills · 10 commands · 1 agent
AI/ML specialist agents — architects, prompt engineers, RAG designers
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Cross-model council — assess the models reachable via locally installed peer agentic CLIs (codex, agy, opencode) against a standardized problem stack, cast them into a roster, and run cross-model fan-out plays (v1: Diff+Synthesis) chosen per project. Built on a unified delegation contract with graded permission postures; in-session and uncontainerised, distinct from sdlc-workflows' Archon/Docker/DAG delegation
1 skill · 7 commands · 2 agents
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4 skills · 6 agents
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9 agents
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7 skills · 1 command · 3 agents
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3 skills · 1 command · 1 agent
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21 skills · 2 commands · 1 agent · 1 MCP server · hooks
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6 skills · 8 commands · 4 agents · hooks
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