mrexodia

Devdocs CLI — AI skill for Claude Code

AI community

🚧 Structure your AI coding projects to effectively work with agents.

How to install Devdocs CLI

This entry records only its repository, not the path inside it, so there is no exact command to give. Open mrexodia/devdocs-cli and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Devdocs CLI does

🚧 Structure your AI coding projects to effectively work with agents. 🚧

Alternatives in AI

  • AGENTS.md - Skill Seekers — Concise reference for AI coding agents 11.1k ★
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  • Free AI Courses — Interactive course teaching Product Managers how to use Claude Code effectively 2.2k ★

README

devdocs-cli

**NOTE: This was just a (failed) experiment. Probably https://backlog.md is what you want instead. The [beads](https://github.com/steveyegge/beads) issue tracker is a massive PITA, do not recommend**

Structure your AI coding projects. Sets up issue tracking and documentation patterns that help agents maintain context across sessions.

Install

First, install the dependencies:

  • beads (bd) for issue tracking
  • pi for the coding agent and slash commands

Then install devdocs-cli:

go install github.com/mrexodia/devdocs-cli@latest

Usage

cd your-project
devdocs init

This sets up:

  • Beads (bd) for issue tracking with no-git-ops config
  • devdocs/ directory for epics and reference documentation
  • AGENTS.md with the methodology (appends if file exists)
  • pi hooks for bd prime injection and slash commands

What is this?

A hybrid approach combining:

  • bd (beads) - Dependency-aware issue tracking that lives in your repo
  • devdocs/ - Epic tracking with design documents and archived learnings

When to Use What

Scope Approach
Single-session work Just do it
Multi-session issue bd create
Large initiative with phases Epic (devdocs/ + bd epic)
Permanent reference knowledge devdocs/.md

The Methodology

1. Design First

Don't jump into coding. Research first in Claude/ChatGPT/Grok, then consolidate into `design.md`:

  • Problem statement and goals
  • API design or architecture
  • Key decisions and rationale
  • References to documentation

2. TDD for AI

Set up the test harness *before* implementation:

  • Define what tests need to pass
  • Use "golden master" testing where possible (compare against known-good output)
  • Ensure make test or equivalent produces actionable feedback
  • Then tell the agent: "work until the tests pass"

3. Scaf