Dev Plan

SkillAI & models

Strategic planning with optional interview workflow. Use when the user wants to plan before implementing — "plan this", "let's plan", structured requirements gathering for vague ideas. Pairs with @compass-planner agent. Supports consensus mode and review mode.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Dev Plan skill

What this skill tells your AI

The instructions your AI receives, as published by evolution-foundation/evo-nexus in .claude/skills/dev-plan/SKILL.md and read by ahel’s review.

Derived from oh-my-claudecode (MIT, Yeachan Heo). Adapted for the EvoNexus Engineering Layer.

Plan creates comprehensive, actionable work plans through intelligent interaction. It auto-detects whether to interview the user (broad requests) or plan directly (detailed requests).

Use When

  • User wants to plan before implementing — "plan this", "plan the", "let's plan"
  • User wants structured requirements gathering for a vague idea
  • User wants an existing plan reviewed — "review this plan"
  • User wants multi-perspective consensus on a plan — see dev-ralplan (Tier 1, imported in EPIC 3)
  • Task is broad or vague and needs scoping before any code is written

Do Not Use When

  • User wants autonomous end-to-end execution → use dev-autopilot instead
  • User wants to start coding immediately with a clear task → delegate to @bolt-executor
  • User asks a simple question that can be answered directly → just answer it
  • Task is a single focused fix with obvious scope → skip planning, just do it

Why This Exists

Jumping into code without understanding requirements leads to rework, scope creep, and missed edge cases. Plan provides structured requirements gathering, expert analysis, and quality-gated plans so that execution starts from a solid foundation.

Execution Policy

  • Auto-detect interview vs direct mode based on request specificity
  • Ask one question at a time during interviews — never batch multiple questions
  • Gather codebase facts via @scout-explorer agent before asking the user about them
  • Plans must meet quality standards: 80%+ claims cite file/line, 90%+ criteria are testable
  • Save plans to workspace/projects/plans/{name}.md

Mode Selection

ModeTriggerBehavior
InterviewDefault for broad requestsInteractive requirements gathering
Direct--direct, or detailed requestSkip interview, generate plan directly
Review--reviewCritic evaluation of an existing plan

Quality Gates

  • All claims about the codebase must cite file:line
  • All acceptance criteria must be testable
  • Open questions must be explicitly listed
  • Trade-offs must be documented for non-trivial decisions

Handoff

After plan is approved by user:

  • Pass plan path to @bolt-executor for implementation
  • Or chain to dev-autopilot for full lifecycle execution

Delegation

For deeper structured planning, hand off to @compass-planner agent — it runs a tighter interview workflow with mandatory user confirmation gates.

Signals

GitHub stars
533
Forks
177
Last commit
May 2026
Advanced
Catalog kind
skill
Gateway key
dev-plan
Source
github.com/evolution-foundation/evo-nexus