Flow Next Interview

Examples:

• /flow-next:interview fn-1
• /flow-next:interview fn-1.3
• /flow-next:interview docs/oauth-spec.md

If empty, ask: "What should I interview you about? Give me a Flow ID (e.g., fn-1) or file path (e.g., docs/spec.md)"

Setup

ROOT="$(git rev-parse --show-toplevel)"
PLUGIN_ROOT="$ROOT/plugins/flow-next"
FLOWCTL="$PLUGIN_ROOT/scripts/flowctl"

Detect Input Type

1. Flow epic ID pattern: matches fn-\d+ (e.g., fn-1, fn-12)

   • Fetch: $FLOWCTL show <id> --json
   • Read spec: $FLOWCTL cat <id>

2. Flow task ID pattern: matches fn-\d+\.\d+ (e.g., fn-1.3, fn-12.5)

   • Fetch: $FLOWCTL show <id> --json
   • Read spec: $FLOWCTL cat <id>
   • Also get epic context: $FLOWCTL cat <epic-id>

3. File path: anything else with a path-like structure or .md extension

   • Read file contents
   • If file doesn't exist, ask user to provide valid path

Interview Process

Use the question tool for all questions. Group 2-4 questions per tool call. Expect 40+ total for complex specs. Wait for answers before continuing.

Rules:

• Each question must include: header (<=12 chars), question, and options (2-5).
• custom defaults to true, so users can type a custom answer.
• Keep option labels short (1-5 words) and add a brief description.
• Prefer concrete options; include “Not sure” when ambiguous.

Example tool call (schema only):

question({
  "questions": [
    {
      "header": "Header",
      "question": "Where should the badge appear?",
      "options": [
        {"label": "Left", "description": "Near logo"},
        {"label": "Right", "description": "Near user menu"},
        {"label": "Center", "description": "Centered"},
        {"label": "Not sure", "description": "Decide based on layout"}
      ]
    }
  ]
})

Question Categories

Read questions.md for all question categories and interview guidelines.

Write Refined Spec

After interview complete, write everything back.

For Flow Epic ID

1. Create a temp file with the refined epic spec including:

   • Clear problem statement
   • Technical approach with specifics
   • Key decisions made during interview
   • Edge cases to handle
   • Quick commands section (required)
   • Acceptance criteria

2. Update epic spec:

   $FLOWCTL epic set-plan <id> --file <temp-md> --json
   

3. Create/update tasks if interview revealed breakdown:

   $FLOWCTL task create --epic <id> --title "..." --json
   $FLOWCTL task set-description <task-id> --file <temp-md> --json
   $FLOWCTL task set-acceptance <task-id> --file <temp-md> --json
   

For Flow Task ID

1. Write description to temp file with:

   • Clear task description
   • Technical details from interview
   • Edge cases

2. Write acceptance to temp file with:

   • Checkboxes for acceptance criteria
   • Specific, testable conditions

3. Update task:

   $FLOWCTL task set-description <id> --file <desc-temp.md> --json
   $FLOWCTL task set-acceptance <id> --file <acc-temp.md> --json
   

For File Path

Rewrite the file with refined spec:

• Preserve any existing structure/format
• Add sections for areas covered in interview
• Include technical details, edge cases, acceptance criteria
• Keep it actionable and specific

Completion

Show summary:

• Number of questions asked
• Key decisions captured
• What was written (Flow ID updated / file rewritten)
• Suggest next step: /flow-next:plan or /flow-next:work

Notes

• This process should feel thorough - user should feel they've thought through everything
• Quality over speed - don't rush to finish