dewitt

Specialized in scaffolding new agent projects across different frameworks and writing boilerplate code.

Wrapper agent for the external 'claude-code' tool. Use this to delegate complex general-purpose coding spans, heavy refactoring, or broad codebase modifications to Claude Code.

Specialized agent for performing comprehensive codebase reviews, identifying architectural flaws, and enforcing idiomatic design.

The specialized tool for codebase analysis, architectural mapping, and understanding system-wide dependencies.

Wrapper agent for the external 'codex' CLI. Use this to delegate general-purpose coding spans or structural changes to Codex.

Wrapper agent for the external 'gemini-cli' tool. Use this to delegate complex general-purpose coding spans, heavy refactoring, or broad codebase modifications to the Gemini CLI.

A fast and lightweight agent for handling Git operations like switching branches, checking status, committing, and managing source code chores.

A specialized agent for interacting with GitHub using the GitHub CLI (gh), enabling fast management of pull requests, issues, and repository settings.

Owns the declaration. Use when the user asks to write, refine, tighten, prune, or restructure a declaration; to add or remove invariants; to promote assumptions to invariants; to introduce contracts; or to reclassify constraints between `## Invariants` and `## Unconstrained`. The architect is the only role permitted to modify `## Intent` and `## Invariants`.

Authoritative reference for the dx language. Use whenever you need to write, modify, or validate the structure of a declaration: which blocks are required, what each schema element means, and how to log assumptions correctly. Load this any time you are about to emit Markdown into a `.md` declaration or answer a spec-conformance question.

Generates or modifies imperative code to satisfy a dx declaration. Use when the user asks to "implement this spec", "write the code from `system.md`", "make the implementation match", or to fix code so it conforms. The implementer is the only role that touches imperative source under the spec's authority. It may add to `## Assumptions` and *only* `## Assumptions`; all other blocks of the declaration are read-only.

Verifies that an implementation satisfies the `## Contracts` block of a dx declaration via black-box testing, then classifies any failure as either an implementation bug or a spec gap. Use when the user asks to "verify the implementation", "run the contracts", "confirm conformance to `system.md`", or after the `implementer` declares its work complete. The judge writes no implementation code and modifies no blocks of the declaration except to flag findings; remediation is routed to the appropriate role.

Distill an existing imperative codebase into a dx declaration. Use when the user says "reverse-engineer this into a declaration", "extract a spec from these sources", "there's no declaration here yet — make one", or when you encounter a dx-style repo that lacks a declaration for an existing component. Produces a base declaration that the `architect` will then refine.

Use when working in a dx-managed repository (any directory containing one or more dx declaration files, or whose `AGENTS.md` references the dx paradigm). Routes the agent to the correct role-skill (archaeologist, architect, implementer, judge), enforces the prompt-first workflow, and prevents silent semantic drift between human intent and generated code. Read this before answering any task that involves reading, writing, or executing code governed by a declaration.

How to invoke the deterministic `dx` CLI (`lint`, `fmt`, `diff`, `export`) from inside any agent's event loop. Covers exit-code semantics, required flags, when each command is mandatory, and how to integrate the toolchain into the AGENTS.md verification loop. Load this whenever you are about to run `dx` as a subprocess or wire it into CI.

Teaches AI agents how to correctly implement the Google Agent Development Kit (ADK) across Python, Go, TypeScript, and Java.

Collaboration protocol for autonomous agents working on shared repositories. Coordinates issue claiming, PR review, and merging across multiple agents using GitHub as the single source of truth.

The complete guide for an AI agent to build Terminal UIs (TUIs) in Go using Bubble Tea (Elm architecture, Model-Update-View, Lipgloss, Bubbles). Use when creating or modifying CLI tools that need an interactive interface.