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/plan

Strategic planning with optional interview workflow

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oh-my-claudecode
41k84 skills21 agents21 commands11 hooks
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Claude Code

$ npx -y skills add Yeachan-Heo/oh-my-claudecode --skill plan --agent claude-code

SKILL.md

plan.SKILL.md
name: omc-plan
description: Strategic planning with optional interview workflow
argument-hint: "[--direct|--consensus|--review] [--interactive] [--deliberate] <task description>"
pipeline: [deep-interview]
handoff-policy: approval-required
handoff: .omc/plans/ralplan-*.md
level: 4

<Purpose> Plan creates comprehensive, actionable work plans through intelligent interaction. It auto-detects whether to interview the user (broad requests) or plan directly (detailed requests), and supports consensus mode (iterative Planner/Architect/Critic loop with RALPLAN-DR structured deliberation) and review mode (Critic evaluation of existing plans). </Purpose>

<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", `--review`
  • User wants multi-perspective consensus on a plan -- `--consensus`, "ralplan"
  • Task is broad or vague and needs scoping before any code is written

</Use_When>

<Do_Not_Use_When>

  • User wants autonomous end-to-end execution -- use `autopilot` instead
  • User wants to start coding immediately with a clear task -- use `ralph` or delegate to executor
  • User asks a simple question that can be answered directly -- just answer it
  • Task is a single focused fix with obvious scope -- use an execution skill instead of running it from this planning module

</Do_Not_Use_When>

<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. The consensus mode adds multi-perspective validation for high-stakes projects. </Why_This_Exists>

<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 `explore` agent before asking the user about them
  • Plans must meet quality standards: 80%+ claims cite file/line, 90%+ criteria are testable
  • Consensus mode runs fully automated by default; add `--interactive` to enable user prompts at draft review and final approval steps
  • Consensus mode uses RALPLAN-DR short mode by default; switch to deliberate mode with `--deliberate` or when the request explicitly signals high risk (auth/security, data migration, destructive/irreversible changes, production incident, compliance/PII, public API breakage)
  • **Planning/execution boundary:** planning modes inspect context and produce plans/specs/proposals only. They MUST mark artifacts as `pending approval` unless the user has explicitly opted into execution in the current turn or via the structured approval UI. Before explicit execution approval, planning modes MUST NOT run mutation-oriented shell commands, edit source files, commit, push, open PRs, invoke execution skills, or delegate implementation tasks.
  • **Goal workflow boundary:** when a plan compares Claude Code `/goal`, Ralph, Team, or artifact-only Ultragoal, identify exactly one primary loop authority and use the deterministic conflict policies `refuse`, `adopt_existing`, and `artifact_only` rather than non-deterministic warning handling. `/goal` facts must cite Claude Code/Anthropic sources only (Claude Code `/goal` docs: https://code.claude.com/docs/en/goal; Anthropic Claude Code changelog: https://raw.githubusercontent.com/anthropics/claude-code/main/CHANGELOG.md), and plans MUST NOT claim the `/goal` evaluator independently runs commands or reads files; require surfaced proof evidence before any completion claim.
  • **Goal workflow doc target:** for user-facing comparisons, keep examples aligned with `docs/shared/mode-selection-guide.md#goal-oriented-workflow-selection` and `docs/REFERENCE.md#goal-workflow-ux-goal-ralph-team-ultragoal`.

</Execution_Policy>

<Steps>

Mode Selection

| Mode | Trigger | Behavior | | --------- | ------------------------------- | -------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | Interview | Default for broad requests | Interactive requirements gathering | | Direct | `--direct`, or detailed request | Skip interview, generate plan directly | | Consensus | `--consensus`, "ralplan" | Planner -> Architect -> Critic loop until agreement with RALPLAN-DR structured deliberation (short by default, `--deliberate` for high-risk); add `--interactive` for user prompts at draft and approval steps | | Review | `--review`, "review this plan" | Critic evaluation of existing plan |

Interview Mode (broad/vague requests)

1. **Classify the request**: Broad (vague verbs, no specific files, touches 3+ areas) triggers interview mode 2. **Ask one focused question** using `AskUserQuestion` for preferences, scope, and constraints 3. **Gather codebase facts first**: Before asking "what patterns does your code use?", spawn an `explore` agent to find out, then ask informed follow-up questions 4. **Build on answers**: Each question bui

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For Codex users: Check out oh-my-codex — the same orchestration experience for OpenAI Codex CLI. Liked OmC but found it a bit overkill? Try gajae-code.

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Questions about plan.

Which coding agents can use plan?
plan installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.