arn-code-plan

name	arn-code-plan
description	This skill should be used when the user says "arness code plan", "arn-code-plan", "plan this", "write a plan", "create plan", "implementation plan", "plan feature", "plan the spec", "plan from spec", "generate plan", "arness code plan FEATURE_X", "plan the bugfix", "plan bugfix", "make a plan", or wants to generate an implementation plan from a Arness specification. The skill invokes the arn-code-feature-planner agent to generate the plan, presents it for review, and iterates on user feedback until approved. Produces a PLAN_PREVIEW file that feeds into /arn-code-save-plan.
version	1.1.0

Arness Plan

Generate an implementation plan from a Arness specification by invoking the arn-code-feature-planner agent. The plan is written to disk as a PLAN_PREVIEW file, presented to the user for review, and iteratively refined based on feedback until approved. The approved plan then feeds into /arn-code-save-plan for structuring into phases, tasks, and reports.

Pipeline position:

arn-code-init -> arn-code-feature-spec / arn-code-bug-spec -> **arn-code-plan** -> arn-code-save-plan -> arn-code-review-plan -> arn-code-taskify -> arn-code-execute-plan

Prerequisites

If no ## Arness section exists in the project's CLAUDE.md, inform the user: "Arness is not configured for this project yet. Run /arn-planning to get started — it will set everything up automatically." Do not proceed without it.

Workflow

Step 1: Load Configuration

Read the project's CLAUDE.md and extract the ## Arness section to find:

• Plans directory — base path where project plans and PLAN_PREVIEW files are stored
• Specs directory — path to the directory containing specification files
• Code patterns — path to the directory containing stored pattern documentation

If ## Arness is not found, inform the user: "Arness is not configured for this project yet. Run /arn-planning to get started — it will set everything up automatically." Do not proceed.

---

Step 2: Find the Specification

The user may provide a spec name as an argument (e.g., "arness plan FEATURE_websocket-notifications" or "plan the spec websocket-notifications").

If an argument was provided:

• Look for <specs-dir>/<argument>.md (exact match)
• If not found, try <specs-dir>/FEATURE_<argument>.md and <specs-dir>/BUGFIX_<argument>.md
• If not found, try matching files in <specs-dir>/ that contain the argument text in their filename
• If still not found, list available specs and ask the user to choose

If no argument was provided:

• List all .md files in <specs-dir>/
• If only one exists, use it automatically
• If multiple exist, show the list sorted by modification date (most recent first) and ask the user to choose
• If none exist, inform the user: "No specifications found in <specs-dir>/. Run /arn-code-feature-spec or /arn-code-bug-spec to create one first."

---

Step 3: Load Context

Read these files (skip any that don't exist):

1. The selected specification file
2. <code-patterns-dir>/code-patterns.md
3. <code-patterns-dir>/testing-patterns.md
4. <code-patterns-dir>/architecture.md
5. <code-patterns-dir>/ui-patterns.md (if it exists)
6. <code-patterns-dir>/security-patterns.md (if it exists)

If pattern documentation files are missing (no code-patterns.md, testing-patterns.md, or architecture.md in the Code patterns directory):

Inform the user: "This is the first time pattern documentation is being generated for this project. Analyzing your codebase to understand its patterns, conventions, and architecture. This is a one-time operation — future invocations will use the cached results."

Then invoke arn-code-codebase-analyzer (existing codebase) or arn-code-pattern-architect (greenfield) to generate fresh analysis. Write the results to the Code patterns directory.

---

Step 3.5: Verify Spec Alignment with Current Codebase

Specs may have been written days or weeks before being planned. The codebase moves in the meantime — files get renamed, modules refactored, frameworks swapped. Before invoking the planner, verify the spec's concrete references still hold against HEAD.

Spawn the arn-code-drift-detector agent via the Task tool, passing the model from .arness/agent-models/code.md as the model parameter (see plugins/arn-code/skills/arn-code-ensure-config/references/ensure-config.md "Dispatch convention" for fallback). Context:

Verify whether the following specification still aligns with the current codebase.

**Spec file:** <specs-dir>/<spec-filename>
**Source root:** <repo root>

Return a structured drift report with severity classified as none, minor, moderate, or major.

Capture the agent's drift report and branch on severity:

• none — proceed silently to Step 4.

• minor — display the report's Summary line to the user (one sentence). Carry the full drift report forward as an annotation to the planner agent's context (see Step 4 input block below). Proceed to Step 4.

• moderate or major — display the full drift report. Then ask the user how to proceed using AskUserQuestion:

  The spec has drifted from the current codebase. How would you like to proceed?

  1. Refresh the spec — route to /arn-code-feature-spec (or /arn-code-bug-spec for a bug spec) with the drift report as input so the spec can be updated against current reality.
  2. Proceed with annotations — pass the drift report to the planner so it accounts for the divergence while building the plan.
  3. Abort — exit the skill; no plan generated.

  Honor the user's choice. On (1), exit this skill and route to the spec skill. On (3), exit cleanly. On (2), continue to Step 4 with the drift report attached.

If the drift detector itself fails (e.g., spec file unreadable, git unavailable), inform the user and ask whether to proceed without a drift check. Do not block on a tool failure.

---

Step 4: Invoke the Planner Agent

Derive the spec name from the spec filename (strip prefix and extension):

• FEATURE_websocket-notifications.md → websocket-notifications
• BUGFIX_checkout-500.md → checkout-500
• FEATURE_F-001.1_user-auth.md → F-001.1_user-auth

The output file path is: <plans-dir>/PLAN_PREVIEW_<spec-name>.md

Check for existing PLAN_PREVIEW: If a PLAN_PREVIEW file already exists at that path, inform the user: "A plan preview already exists for this spec: <path>. Would you like to regenerate it from scratch, or review the existing plan?" If review → skip to Step 5. If regenerate → proceed.

Spawn the arn-code-feature-planner agent via the Task tool, passing the model from .arness/agent-models/code.md as the model parameter (see plugins/arn-code/skills/arn-code-ensure-config/references/ensure-config.md "Dispatch convention" for fallback). Context:

You are generating an implementation plan for the following specification.

**Specification:** <spec-name>
**Spec file:** <specs-dir>/<spec-filename>

--- SPECIFICATION CONTENT ---
[full spec file content]
--- END SPECIFICATION ---

--- DRIFT REPORT ---
[full drift report from Step 3.5, if severity was minor/moderate/major and the user chose to proceed; omit this section entirely if severity was none]
--- END DRIFT REPORT ---

--- CODEBASE PATTERNS ---
[code-patterns.md content]
[testing-patterns.md content]
[architecture.md content]
[ui-patterns.md content, if it exists]
[security-patterns.md content, if it exists]
--- END CODEBASE PATTERNS ---

**Output file:** <plans-dir>/PLAN_PREVIEW_<spec-name>.md

Generate a structured implementation plan and write it to the output file.
Include `Spec: <specs-dir>/<spec-filename>` near the top for arn-code-save-plan linkage.

Record the agent ID returned by the Task tool (needed for resume in Step 5b).

---

Step 5: Present Plan and Feedback Loop

After the planner agent completes:

1. Read the generated plan from <plans-dir>/PLAN_PREVIEW_<spec-name>.md
2. Parse each phase's **Complexity:** and **Complexity rationale:** fields (added by the planner per ${CLAUDE_PLUGIN_ROOT}/agents/arn-code-feature-planner.md's Complexity Assessment section). If a phase is missing these fields (older plans), treat its complexity as unknown and skip the upgrade gate for it.
3. Present a structured summary to the user:
   • Spec: the linked specification name
   • Phases: list each phase with a 1-line description, key deliverables, and complexity rating (e.g., Phase 3: Dispatch Site Edits — 7 deliverables — complexity: complex). Always show the rating, regardless of whether an upgrade gate fires.
   • Dependencies: which phases depend on which
   • Total files: approximate count of files to create/modify
   • Testing: whether testing phases are included
4. Ask: "Does this plan look right, or would you like to change anything?"

If the user approves (e.g., "looks good", "approved", "yes", "proceed"): → Go to Step 5a (Complex Phase Upgrade Gate) before Step 6.

If the user provides feedback (e.g., "split phase 2 into two phases", "add error handling for X", "remove the caching component"): → Go to Step 5b.

Step 5a: Complex Phase Upgrade Gate

Before marking the plan approved, check whether the user should be offered an executor model upgrade for any complex phases.

Filter: Build the list of phases with **Complexity:** complex. If empty, skip this step entirely and go to Step 6.

Profile detection: Read the project's CLAUDE.md ## Arness block for Code agent model profile:. Branch:

• If the field is all-opus: skip this step silently (every agent is already on Opus, nothing to upgrade). Display brief status line: Preference: complex phase upgrade silenced — profile is all-opus (no upgrade needed). Go to Step 6.
• If the field is balanced or custom: continue.
• If the field is missing or .arness/agent-models/code.md doesn't exist: treat as unknown and continue (run the gate — the user gets the choice).

Two-tier preference lookup for pipeline.complex-phase-upgrade per ${CLAUDE_PLUGIN_ROOT}/skills/arn-code-ensure-config/references/preferences-schema.md:

1. Read .arness/workflow.local.yaml — if file exists and key present, use that value (note source).
2. Else read ~/.arness/workflow-preferences.yaml — if file exists and key present, use that value (note source).
3. Else treat as null (first encounter).

Branch on the resolved value:

• always: auto-mark every phase with complexity complex for modelOverride: "opus" in the in-memory plan structure (carried into save-plan). Display status line: Preference: upgrading N complex phases to Opus executor (stored in <source>). Go to Step 6.
• never: skip the gate silently. Go to Step 6.
• ask: show the gate below. Do NOT show the remember-this follow-up afterward.
• null (first encounter): show the gate below. After the user answers, show the remember-this follow-up.

Gate (shown when value is ask, null, or invalid):

Build a phase list for the prompt:

N phases are rated complex:
  - Phase 2: <title> — <complexityRationale>
  - Phase 3: <title> — <complexityRationale>
  - Phase 5: <title> — <complexityRationale>

Ask (using AskUserQuestion):

"N phases are rated complex. Upgrade ALL of them to Opus for execution? (Reviewer dispatches stay on configured tier.)"

Options:

1. Yes, upgrade all complex phases (Recommended for known-complex work) — mark every complex phase for modelOverride: "opus"
2. No, keep configured tier — no override applied; phases run on the agent-models lookup result

If Yes: mark every complex phase in the in-memory plan structure for modelOverride: "opus". The override is persisted by arn-code-save-plan Step 5 into PROGRESS_TRACKER.json. If No: no override applied.

Follow-up (only when preference was null): After the user answers the gate, ask:

Ask (using AskUserQuestion):

"Should Arness remember this choice for future sessions?"

Options:

1. Yes, always upgrade complex phases (saves always to preferences)
2. Yes, never upgrade complex phases (saves never to preferences)
3. No, ask me each time

If Yes (always): write always to ~/.arness/workflow-preferences.yaml under pipeline.complex-phase-upgrade. Create ~/.arness/ directory and file if they do not exist. If file exists, read first, add or update the key under pipeline:, write back preserving all existing keys. If Yes (never): write never to ~/.arness/workflow-preferences.yaml under pipeline.complex-phase-upgrade (same write logic). If No: write ask to ~/.arness/workflow-preferences.yaml under pipeline.complex-phase-upgrade (same write logic).

After Step 5a completes (gate applied or skipped), go to Step 6.

Step 5b: Iterate with Feedback

Try to resume the planner agent using the Task tool's resume parameter with the stored agent ID:

The user has reviewed the current plan and has the following feedback:

[user's feedback verbatim]

The current plan is at: <plans-dir>/PLAN_PREVIEW_<spec-name>.md

Read the current plan, apply the user's feedback, and write the updated plan
to the same file. Summarize what you changed.

If resume fails (API error, agent ID no longer valid): Fall back to spawning a fresh arn-code-feature-planner agent via the Task tool, passing the model from .arness/agent-models/code.md as the model parameter (see plugins/arn-code/skills/arn-code-ensure-config/references/ensure-config.md "Dispatch convention" for fallback). Context:

You are revising an existing implementation plan based on user feedback.

**Current plan file:** <plans-dir>/PLAN_PREVIEW_<spec-name>.md
**Spec file:** <specs-dir>/<spec-filename>

**User feedback:**
[user's feedback verbatim]

Read the current plan from the plan file, apply the user's feedback, and write
the updated plan to the same file. Summarize what you changed.

After the agent completes, return to Step 5 (read updated plan, present summary, ask for approval).

---

Step 6: Plan Approved

Confirm with the user:

"Plan approved and saved to <plans-dir>/PLAN_PREVIEW_<spec-name>.md.

Next step: Run /arn-code-save-plan to convert this plan into a structured project with phased implementation and testing plans."

---

Error Handling

• ## Arness config missing in CLAUDE.md — suggest running /arn-planning to get started.
• No specs found — suggest running /arn-code-feature-spec or /arn-code-bug-spec first.
• Planner agent fails or crashes — read the agent's output to identify what went wrong. If partial plan was written, present it and ask the user if they want to retry or edit manually.
• Resume fails during feedback loop — fall back to fresh agent invocation (Step 5b fallback). Inform the user: "Could not resume the planner session. Spawning a fresh planner with the current plan and your feedback."
• PLAN_PREVIEW file not written by agent — check the agent output for errors. If the agent produced plan content but did not write it, write the content to the PLAN_PREVIEW file directly and continue.
• User cancels — confirm cancellation. If a PLAN_PREVIEW file was partially written, inform the user of its location so they can delete or edit it manually.