forge

Forge

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Summary

Forge is a Claude Code plugin that turns your codebase into a self-improving AI engineering team. Run it once on any project — it reads your stack, generates a complete set of project-specific agents, workflows, and a structured knowledge base, then deploys them as slash commands. Every sprint, the system learns from what it builds and gets sharper.

One install. One init. A full engineering practice that improves with every task.

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Quick Start

1. Install Forge (once, works across all your projects):

# Stable (recommended)
/plugin marketplace add Entelligentsia/skillforge
/plugin install forge@skillforge

# Canary (latest development build)
/plugin marketplace add Entelligentsia/forge
/plugin install forge@forge

2. Bootstrap your project:

cd /path/to/your/project
/forge:init

Forge scans your codebase and generates everything in ~10–15 minutes. No config files to fill in.

3. Run your first sprint:

/sprint-intake      # Capture sprint requirements in a structured interview
/sprint-plan        # Break requirements into tasks with estimates and dependencies
/run-sprint S01     # Execute — Plan → Review → Implement → Review → Approve → Commit
/retrospective S01  # Close the sprint and feed learnings back

That's it. Forge handles the rest.

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The Problem

Claude Code is capable. But left unstructured, it:

• Re-learns your project conventions from scratch every session
• Writes code without a second set of eyes — no plan review, no code review
• Has no memory of past decisions, bugs, or architectural tradeoffs
• Produces inconsistent results across tasks because there's no shared standard

The more complex your project, the worse this gets.

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What Forge Does

Forge runs once against your codebase and generates a complete, project-specific engineering practice — then deploys it as a multi-agent team

Adapts itself to your project

Forge doesn't ask you to fill in a config file. It reads your codebase — routes, models, tests, CI pipeline, auth patterns — and generates personas, workflows, and review criteria that reflect how your project actually works. The Engineer persona knows your entity names. The Supervisor knows your security patterns. The Architect knows your deployment constraints.

Self-learns with every cycle

Every completed task feeds the knowledge base. The Supervisor adds new patterns to the review checklist when it catches something worth catching again. The Bug Fixer tags root causes and builds preventive checks. The Retrospective agent promotes what's working and prunes what isn't. By Sprint 3, the system understands your project better than any static prompt ever could — and it keeps improving.

Stack agnostic, with opinions where it counts

Forge generates everything in your language and adapts to whatever framework you're running. It makes no assumptions about your stack until it reads it. Where popular stacks have well-established best practices — Django migrations, Vue Composition API, Rails conventions — Forge's generated workflows encode those opinions explicitly. Everything else is derived from what it finds.