Aif Plan

Plan - Implementation Planning

Create an implementation plan for a feature or task. Two modes:

• Fast – quick plan, no git branch, saves to the configured fast plan path (default: .ai-factory/PLAN.md)
• Full — richer plan, asks preferences, saves to the configured full-plan directory, and optionally creates a git branch/worktree when git is enabled and branch creation is allowed

Workflow

Step 0 (pre): Detect Handoff Mode

Determine Handoff mode and task ID. If the caller passed HANDOFF_MODE and HANDOFF_TASK_ID as explicit text in the prompt, use those values. Otherwise, use the Bash tool to read the environment variables:

Bash: printenv HANDOFF_MODE || true
Bash: printenv HANDOFF_TASK_ID || true

Then check HANDOFF_MODE:

When HANDOFF_MODE is 1 (autonomous Handoff agent)

The Handoff coordinator already manages status transitions and DB writes directly. Do NOT call MCP tools (handoff_sync_status, handoff_push_plan). Instead:

• No interactive questions: Do not use AskUserQuestion — use sensible defaults (verbose logging, yes to tests, yes to docs, skip roadmap linkage).
• Mode default: If mode is not specified, default to fast.
• Plan annotation (MANDATORY): If HANDOFF_TASK_ID is non-empty, you MUST insert <!-- handoff:task:<HANDOFF_TASK_ID> --> as the very first line of the plan file, before the title. This annotation links the plan to its Handoff task for bidirectional sync. Omitting this annotation when HANDOFF_TASK_ID is set is a bug — verify before completing.

When HANDOFF_MODE is NOT 1 (manual Claude Code session)

If polishing an existing plan, extract the Handoff task ID from the <!-- handoff:task:<id> --> annotation on the first line (if present). If creating a new plan and no annotation context exists, skip all MCP sync — there is no linked Handoff task.

If a task ID IS found in the plan annotation, sync with Handoff via MCP tools:

• On start: Call handoff_sync_status with { taskId: <extracted-id>, newStatus: "planning", sourceTimestamp: "<current UTC time in ISO 8601 format>", direction: "aif_to_handoff", paused: true }.
• On completion: Call handoff_push_plan with { taskId: <extracted-id>, planContent: <full plan text> }. Then call handoff_sync_status with { taskId: <extracted-id>, newStatus: "plan_ready", sourceTimestamp: "<current UTC time in ISO 8601 format>", direction: "aif_to_handoff", paused: true }.

CRITICAL: Always pass paused: true with every handoff_sync_status call except done. This prevents the autonomous Handoff agent from picking up the task while you work manually. Only done passes paused: false.

Preserve the <!-- handoff:task:<id> --> annotation on the first line when rewriting the plan file.

Step 0: Load Project Context

FIRST: Read .ai-factory/config.yaml if it exists to resolve:

• Paths: paths.description, paths.architecture, paths.roadmap, paths.research, paths.rules_file, paths.plan, paths.plans, paths.patches, paths.evolutions, paths.specs, and paths.rules
• Language: language.ui for AskUserQuestion prompts
• Git: git.enabled, git.base_branch, git.create_branches, and git.branch_prefix

If config.yaml doesn't exist, use defaults:

• Paths: .ai-factory/ for all artifacts
• Language: en (English)
• Git: enabled: true, base_branch: main, create_branches: true, branch_prefix: feature/

THEN: Read .ai-factory/DESCRIPTION.md (use path from config) if it exists to understand:

• Tech stack (language, framework, database, ORM)
• Project architecture
• Coding conventions
• Non-functional requirements

ALSO: Read the resolved architecture artifact if it exists (paths.architecture, default: .ai-factory/ARCHITECTURE.md) to understand:

• Chosen architecture pattern
• Folder structure conventions
• Layer/module boundaries
• Dependency rules

Use this context when:

• Exploring codebase (know what patterns to look for)
• Writing task descriptions (use correct technologies)
• Planning file structure (follow project conventions)
• Follow architecture guidelines from the resolved architecture artifact when planning file structure and task organization

Read .ai-factory/skill-context/aif-plan/SKILL.md — MANDATORY if the file exists.

This file contains project-specific rules accumulated by /aif-evolve from patches, codebase conventions, and tech-stack analysis. These rules are tailored to the current project.

How to apply skill-context rules:

• Treat them as project-level overrides for this skill's general instructions
• When a skill-context rule conflicts with a general rule written in this SKILL.md, the skill-context rule wins (more specific context takes priority — same principle as nested CLAUDE.md files)
• When there is no conflict, apply both: general rules from SKILL.md + project rules from skill-context
• Do NOT ignore skill-context rules even if they seem to contradict this skill's defaults — they exist because the project's experience proved the default insufficient
• CRITICAL: skill-context rules apply to ALL outputs of this skill — including the PLAN.md template and task format. The plan template from TASK-FORMAT.md is a base structure. If a skill-context rule says "tasks MUST include X" or "plan MUST have section Y" — you MUST augment the template accordingly. Generating a plan that violates skill-context rules is a bug.

Enforcement: After generating any output artifact, verify it against all skill-context rules. If any rule is violated — fix the output before presenting it to the user.

OPTIONAL (recommended): Read the resolved roadmap artifact if it exists (paths.roadmap, default: .ai-factory/ROADMAP.md):

• Use it to link this plan to a specific milestone (when applicable)
• This reduces ambiguity in /aif-implement milestone completion and /aif-verify roadmap gates

OPTIONAL (recommended): Read the resolved research path if it exists:

• Treat ## Active Summary (input for /aif-plan) as an additional requirements source
• Carry over constraints/decisions into tasks and plan settings
• Prefer the summary over raw notes; use ## Sessions only when you need deeper rationale
• If the user omitted the feature description, use Active Summary -> Topic: as the default description

Step 0.1: Resolve Git State

Do not auto-run git init.

Resolve the current git mode from config first:

• git.enabled: true → git-aware workflow is allowed
• git.enabled: false → no-git workflow only
• git.base_branch → target branch for diffs/merge guidance (default: detected branch or main)
• git.create_branches: true → full mode may create a branch/worktree
• git.create_branches: false → full mode still creates a rich plan, but stays on the current branch / repository state

If git.enabled = false:

• Skip all branch/worktree commands
• Save full-mode plans under paths.plans/<slug>.md
• Treat --parallel, --list, and --cleanup as unavailable

If git.enabled = true but the repository is not actually inside a git work tree:

• Warn the user that git-aware actions are unavailable until the repository is initialized
• Fall back to the same no-git behavior as above

Step 0.2: Parse Arguments & Select Mode

Extract flags and mode from $ARGUMENTS:

--parallel  → Enable parallel worktree mode (full mode only; requires `git.enabled=true` and `git.create_branches=true`)
--list      → Show all active worktrees, then STOP (git-only)
--cleanup <branch> → Remove worktree and optionally delete branch, then STOP (git-only)
fast        → Fast mode (first word)
full        → Full mode (first word)

Parsing rules:

• Strip --parallel, --list, --cleanup <branch>, fast, full from $ARGUMENTS
• Remaining text becomes the description
• --list and --cleanup execute immediately and STOP (do NOT continue to Step 1+)
• If git.enabled = false, reject --parallel, --list, and --cleanup with a short explanation instead of trying git commands
• If --parallel is set while git.create_branches = false, reject it with a short explanation because parallel mode requires branch creation

If the description is empty:

• If the resolved research path exists and its Active Summary has a non-empty Topic:, default the description to that topic (no extra user input required)
• Otherwise, ask the user for a short feature description

If --list is present, jump to --list Subcommand. If --cleanup is present, jump to --cleanup Subcommand.

Mode selection:

• fast keyword → fast mode
• full keyword → full mode
• Neither → ask interactively:

AskUserQuestion: Which planning mode?

Options:
1. Full (Recommended) — richer plan, asks preferences, optional branch/worktree flow when git settings allow it
2. Fast – quick plan, no branch, saves to the resolved fast plan path

If the user did not provide a description and the resolved research path exists:

• Mention that you will default the description to the Active Summary topic
• Only ask for full vs fast (no description prompt needed)

For concrete parsing examples and expected behavior per command shape, read references/EXAMPLES.md (Argument Parsing).

Full Mode

Step 1: Parse Description & Quick Reconnaissance

From the description, extract:

• Core functionality being added
• Key domain terms
• Type (feature, enhancement, fix, refactor)

Use Task tool with subagent_type: Explore to quickly understand the relevant parts of the codebase. This runs as a subagent and keeps the main context clean.

Based on the parsed description, launch 1-2 Explore agents in parallel:

Task(subagent_type: Explore, model: sonnet, prompt:
  "In [project root], find files and modules related to [feature domain keywords].
   Report: key directories, relevant files, existing patterns, integration points.
   Thoroughness: quick. Be concise — return a structured summary, not file contents.")

Rules:

• 1-2 agents max, "quick" thoroughness — this is reconnaissance, not deep analysis
• Deep exploration happens later in Step 3
• If .ai-factory/DESCRIPTION.md already provides sufficient context, this step can be skipped

Step 1.2: Generate Full-Mode Plan Identifier

Generate a reusable slug from the description first. This slug is used for:

• the git branch name when branch creation is enabled
• the full-mode plan filename when no branch is created

If git.enabled = true and git.create_branches = true, generate a branch name:

Format: <configured branch prefix><short-description>

Examples:
- feature/user-authentication
- fix/cart-total-calculation
- refactor/api-error-handling
- chore/upgrade-dependencies

Rules:

• Start with the configured git.branch_prefix when present (default: feature/)
• Lowercase with hyphens
• Max 50 characters
• No special characters except hyphens
• Descriptive but concise

If git.enabled = false or git.create_branches = false:

• Do not create a branch name
• Use the slug to create <configured plans dir>/<slug>.md
• Keep the user on the current branch or current non-git directory state

Step 1.3: Ask About Preferences

IMPORTANT: Always ask the user before proceeding:

AskUserQuestion: Before we start, a few questions:

1. Should I write tests for this feature?
   a. Yes, write tests
   b. No, skip tests

2. Logging level for implementation:
   a. Verbose (recommended) - detailed DEBUG logs for development
   b. Standard - INFO level, key events only
   c. Minimal - only WARN/ERROR

3. Documentation policy after implementation?
   a. Yes — mandatory docs checkpoint at completion (recommended)
   b. No — warn-only (`WARN [docs]`), no mandatory checkpoint

4. Roadmap milestone linkage (only if the resolved roadmap artifact exists):
   a. Link this plan to a milestone
   b. Skip — no linkage (allowed; `/aif-verify --strict` should report WARN, not fail, for missing linkage alone)

5. Any specific requirements or constraints?

Default to verbose logging. AI-generated code benefits greatly from extensive logging because:

• Subtle bugs are common and hard to trace without logs
• Users can always remove logs later
• Missing logs during development wastes debugging time

Store all preferences — they will be used in the plan file and passed to /aif-implement.

Docs policy semantics:

• Docs: yes → /aif-implement MUST show a mandatory documentation checkpoint and route docs changes through /aif-docs
• Docs: no (or unset) → /aif-implement emits WARN [docs] and continues without a mandatory docs checkpoint

If the resolved roadmap artifact exists and the user chose milestone linkage:

• Read the resolved roadmap artifact and list candidate milestones (prefer unchecked items)
• Ask the user to pick one milestone (or type a custom one)
• Store the selected milestone name and a 1-sentence rationale for inclusion in the plan file

Step 1.4: Optional Branch / Worktree Setup

If git.enabled = false or git.create_branches = false:

• Skip all branch/worktree creation
• Continue with the generated full plan file path under paths.plans/<slug>.md

If --parallel flag is set → create worktree:

Worktree Creation

DIRNAME=$(basename "$(pwd)")
git branch <branch-name> <configured-base-branch>
git worktree add ../${DIRNAME}-<branch-name-with-hyphens> <branch-name>

Convert branch name for directory: replace / with -.

Example:

Project dir: my-project
Branch: feature/user-auth
Worktree: ../my-project-feature-user-auth

Copy context files so the worktree has full AI context:

• Create the parent directories for the resolved DESCRIPTION, ARCHITECTURE, RESEARCH, plan, patch, and evolution paths inside the worktree.
• Copy the resolved DESCRIPTION, ARCHITECTURE, and RESEARCH artifacts into the same configured relative locations inside the worktree.
• Copy .ai-factory/skill-context/ as-is into the worktree.
• Copy only the latest 10 patch files from the resolved paths.patches directory into the same configured relative path inside the worktree.
• Do not copy patch-cursor.json when you copied only a truncated patch set; that cursor is valid only with the full patch history.
• Copy agent settings (for example .claude/) and untracked CLAUDE.md when present.

Create changes directory and switch:

cd "${WORKTREE}"

Display confirmation:

Parallel worktree created!

  Branch:    <branch-name>
  Directory: <worktree-path>

To manage worktrees later:
  /aif-plan --list
  /aif-plan --cleanup <branch-name>

Continue to Step 2.

If no --parallel → create branch normally:

git checkout <configured-base-branch>
git pull origin <configured-base-branch>
git checkout -b <branch-name>

If branch already exists, ask user:

• Switch to existing branch?
• Create with different name?

Fast Mode

Step 1: Ask About Preferences

Ask a shorter set of questions:

AskUserQuestion: Before we start:

1. Should I include tests in the plan?
   a. Yes, include tests
   b. No, skip tests

2. Any specific requirements or constraints?

3. Roadmap milestone linkage (only if the resolved roadmap artifact exists):
   a. Link this plan to a milestone
   b. Skip — no linkage (allowed; `/aif-verify --strict` should report WARN, not fail, for missing linkage alone)

Plan file: Always the resolved paths.plan file (default: .ai-factory/PLAN.md).

Shared Steps (both modes)

Step 2: Analyze Requirements

From the description, identify:

• Core functionality to implement
• Components/files that need changes
• Dependencies between tasks
• Edge cases to handle

If requirements are ambiguous, ask clarifying questions:

I need a few clarifications before creating the plan:
1. [Specific question about scope]
2. [Question about approach]

Step 3: Explore Codebase

Before planning, understand the existing code through parallel exploration.

Use Task tool with subagent_type: Explore to investigate the codebase in parallel. This keeps the main context clean and speeds up research.

Launch 2-3 Explore agents simultaneously, each focused on a different aspect:

Agent 1 — Architecture & affected modules:
Task(subagent_type: Explore, model: sonnet, prompt:
  "Find files and modules related to [feature domain]. Map the directory structure,
   key entry points, and how modules interact. Thoroughness: medium.")

Agent 2 — Existing patterns & conventions:
Task(subagent_type: Explore, model: sonnet, prompt:
  "Find examples of similar functionality already implemented in the project.
   Show patterns for [relevant patterns: API endpoints, services, models, etc.].
   Thoroughness: medium.")

Agent 3 — Dependencies & integration points (if needed):
Task(subagent_type: Explore, model: sonnet, prompt:
  "Find all files that import/use [module/service]. Identify integration points
   and potential side effects of changes. Thoroughness: medium.")

If full mode passed codebase reconnaissance from Step 1 — use it as a starting point. Focus Explore agents on areas that need deeper understanding.

After agents return, synthesize:

• Which files need to be created/modified
• What patterns to follow (from existing code)
• Dependencies between components
• Potential risks or edge cases

Fallback: If Task tool is unavailable, use Glob/Grep/Read directly.

Step 4: Create Task Plan

Create tasks using TaskCreate with clear, actionable items.

Task Guidelines:

• Each task should be completable in one focused session
• Tasks should be ordered by dependency (do X before Y)
• Include file paths where changes will be made
• Be specific about what to implement, not vague

Use TaskUpdate to set blockedBy relationships:

• Task 2 blocked by Task 1 if it depends on Task 1's output
• Keep dependency chains logical

Step 5: Save Plan to File

Determine plan file path:

• Fast mode → the resolved paths.plan
• Full mode → <configured plans dir>/<branch-or-slug>.md

Before saving, ensure directory exists:

mkdir -p <configured plans dir>

Plan file must include:

• Title with feature name
• Branch and creation date
• Settings section (Testing, Logging, Docs)
• Roadmap Linkage section (optional, only if the resolved roadmap artifact exists)
• Research Context section (optional, if the resolved research path exists)
• Tasks section grouped by phases
• Commit Plan section when there are 5+ tasks

If the resolved roadmap artifact exists:

• If the user linked a milestone, write ## Roadmap Linkage with Milestone: "..." and Rationale: ...
• If the user skipped linkage, write ## Roadmap Linkage with Milestone: "none" and Rationale: "Skipped by user"

If the resolved research path exists:

• Include ## Research Context by copying only the Active Summary (do not paste full Sessions)
• Keep it compact; it should be readable as a one-screen requirements snapshot

Use the canonical template in references/TASK-FORMAT.md (Plan File Template).

Commit Plan Rules:

• 5+ tasks → add commit checkpoints every 3-5 tasks
• Less than 5 tasks → single commit at the end, no commit plan needed
• Group logically related tasks into one commit
• Suggest meaningful commit messages following conventional commits

Step 6: Next Steps

Full mode + parallel (--parallel): Automatically invoke /aif-implement — the whole point of parallel is autonomous end-to-end execution in an isolated worktree.

/aif-implement

CONTEXT FROM /aif-plan:
- Plan file: <configured plans dir>/<branch-or-slug>.md
- Testing: yes/no
- Logging: verbose/standard/minimal
- Docs: yes/no  # yes => mandatory docs checkpoint, no => warn-only

Full mode normal: STOP after planning. The user reviews the plan and decides when to implement.

Plan created with [N] tasks.
Plan file: <configured plans dir>/<branch-or-slug>.md

To start implementation, run:
/aif-implement

To view tasks:
/tasks (or use TaskList)

Fast mode: STOP after planning.

Plan created with [N] tasks.
Plan file: <resolved fast plan path>

To start implementation, run:
/aif-implement

To view tasks:
/tasks (or use TaskList)

Context Cleanup

Suggest the user to free up context space if needed: /clear (full reset) or /compact (compress history).

--list Subcommand

When --list is passed, show all active worktrees and their feature status. Then STOP.

git worktree list

For each worktree path:

1. Check whether the resolved plans directory exists under that worktree (<worktree>/<resolved paths.plans>, default: <worktree>/.ai-factory/plans/) and contains any plan files
2. Show name and whether it looks complete (has tasks) or is still in progress

Output format:

Active worktrees:

  /path/to/my-project          (<configured-base-branch>)        <- you are here
  /path/to/my-project-feature-user-auth  (feature/user-auth)  -> Plan: feature-user-auth.md
  /path/to/my-project-fix-cart-bug       (fix/cart-bug)        -> No plan yet

--cleanup Subcommand

When --cleanup <branch> is passed, remove the worktree and optionally delete the branch. Then STOP.

DIRNAME=$(basename "$(pwd)")
BRANCH_DIR=$(echo "<branch>" | tr '/' '-')
WORKTREE="../${DIRNAME}-${BRANCH_DIR}"

git worktree remove "${WORKTREE}"
git branch -d <branch>  # -d (not -D) will fail if unmerged, which is safe

If git branch -d fails because the branch is unmerged:

Branch <branch> has unmerged changes.
To force-delete: git branch -D <branch>
To merge first: git checkout <configured-base-branch> && git merge <branch>

If the worktree path doesn't exist, check git worktree list and suggest the correct path.

Task Description Requirements

Every TaskCreate item MUST include:

• Clear deliverable and expected behavior
• File paths to change/create
• Logging requirements (what to log, where, and levels)
• Dependency notes when applicable

Never create tasks without logging instructions.

Use canonical examples in references/TASK-FORMAT.md:

• TaskCreate Example
• Logging Requirements Checklist

Important Rules

1. NO tests if user said no — Don't sneak in test tasks
2. NO reports — Don't create summary/report tasks at the end
3. Actionable tasks — Each task should have clear deliverable
4. Right granularity — Not too big (overwhelming), not too small (noise)
5. Dependencies matter — Order tasks so they can be done sequentially
6. Include file paths — Help implementer know where to work
7. Commit checkpoints for large plans — 5+ tasks need commit plan with checkpoints every 3-5 tasks
8. Plan file location – Fast mode: paths.plan. Full mode: paths.plans/<branch-or-slug>.md
9. Ownership boundary – This command owns plan files only (the resolved fast plan path and files under paths.plans). Use owner commands (/aif-roadmap, /aif-rules, /aif-explore) for their artifacts.
10. Roadmap linkage (when available) — If the resolved roadmap artifact exists, include a ## Roadmap Linkage section in the plan (or explicitly state it was skipped).

Plan File Handling

Fast mode (paths.plan, default: .ai-factory/PLAN.md)

• Temporary plan for quick work
• /aif-implement may offer deletion after completion

Full mode (paths.plans/<branch-or-slug>.md)

• Long-lived plan for feature delivery
• Branch-scoped when a branch is created; slug-scoped when full mode runs without branch creation

For concrete end-to-end flows (fast/full/full+parallel/interactive), read references/EXAMPLES.md (Flow Scenarios).