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issue:convert-to-plan

Converts various planning artifact formats (lite-plan, workflow session, markdown, JSON) into issue workflow solutions with intelligent detection and automatic binding.

Description

The issue:convert-to-plan command bridges external planning workflows with the issue system. It auto-detects source formats, extracts task structures, normalizes to solution schema, and either creates new issues or supplements existing solutions.

Key Features

  • Multi-format support: lite-plan, workflow sessions, markdown, JSON
  • Auto-detection: Identifies source type automatically
  • AI-assisted extraction: Gemini CLI for markdown parsing
  • Supplement mode: Add tasks to existing solutions
  • Auto-binding: Solutions automatically bound to issues
  • Issue auto-creation: Creates issues from plans when needed

Usage

# Convert lite-plan to new issue (auto-creates issue)
/issue:convert-to-plan ".workflow/.lite-plan/implement-auth-2026-01-25"

# Convert workflow session to existing issue
/issue:convert-to-plan WFS-auth-impl --issue GH-123

# Convert markdown file to issue
/issue:convert-to-plan "./docs/implementation-plan.md"

# Supplement existing solution with additional tasks
/issue:convert-to-plan "./docs/additional-tasks.md" --issue ISS-001 --supplement

# Auto mode - skip confirmations
/issue:convert-to-plan ".workflow/.lite-plan/my-plan" -y

Arguments

ArgumentRequiredDescription
SOURCEYesPlanning artifact path or WFS-xxx ID
--issue <id>NoBind to existing issue instead of creating new
--supplementNoAdd tasks to existing solution (requires --issue)
-y, --yesNoSkip all confirmations

Examples

Convert Lite-Plan

/issue:convert-to-plan ".workflow/.lite-plan/implement-auth"
# Output:
# Detected source type: lite-plan
# Extracted: 5 tasks
# Created issue: ISS-20250129-001 (priority: 3)
# ✓ Created solution: SOL-ISS-20250129-001-a7b3
# ✓ Bound solution to issue
# → Status: planned

Convert Workflow Session

/issue:convert-to-plan WFS-auth-impl --issue GH-123
# Output:
# Detected source type: workflow-session
# Loading session: .workflow/active/WFS-auth-impl/
# Extracted: 8 tasks from session
# ✓ Created solution: SOL-GH-123-c9d2
# ✓ Bound solution to issue GH-123

Convert Markdown with AI

/issue:convert-to-plan "./docs/api-redesign.md"
# Output:
# Detected source type: markdown-file
# Using Gemini CLI for intelligent extraction...
# Extracted: 6 tasks
# Created issue: ISS-20250129-002 (priority: 2)
# ✓ Created solution: SOL-ISS-20250129-002-e4f1

Supplement Existing Solution

/issue:convert-to-plan "./docs/tasks-phase2.md" --issue ISS-001 --supplement
# Output:
# Loaded existing solution: SOL-ISS-001-a7b3 (3 tasks)
# Extracted: 2 new tasks
# Supplementing: 3 existing + 2 new = 5 total tasks
# ✓ Updated solution: SOL-ISS-001-a7b3

Issue Lifecycle Flow

Supported Sources

1. Lite-Plan

Location: .workflow/.lite-plan/{slug}/plan.json

Schema:

interface LitePlan {
summary: string;
approach: string;
complexity: 'low' | 'medium' | 'high';
estimated_time: string;
tasks: LiteTask[];
_metadata: {
timestamp: string;
exploration_angles: string[];
};
}

interface LiteTask {
id: string;
title: string;
scope: string;
action: string;
description: string;
modification_points: Array<{file, target, change}>;
implementation: string[];
acceptance: string[];
depends_on: string[];
}

2. Workflow Session

Location: .workflow/active/&#123;session&#125;/ or WFS-xxx ID

Files:

  • workflow-session.json - Session metadata
  • IMPL_PLAN.md - Implementation plan (optional)
  • .task/IMPL-*.json - Task definitions

Extraction:

// From workflow-session.json
{
title: session.name,
description: session.description,
session_id: session.id
}

// From IMPL_PLAN.md
approach: Extract overview section

// From .task/IMPL-*.json
tasks: Map IMPL-001T1, IMPL-002T2...

3. Markdown File

Any .md file with implementation/task content

AI Extraction (via Gemini CLI):

// Prompt Gemini to extract structure
{
title: "Extracted from document",
approach: "Technical strategy section",
tasks: [
{
id: "T1",
title: "Parsed from headers/lists",
scope: "inferred from content",
action: "detected from verbs",
implementation: ["step 1", "step 2"],
acceptance: ["criteria 1", "criteria 2"]
}
]
}

4. JSON File

Direct JSON matching plan-json-schema

interface JSONPlan {
summary?: string;
title?: string;
description?: string;
approach?: string;
complexity?: 'low' | 'medium' | 'high';
tasks: JSONTask[];
_metadata?: object;
}

Task Normalization

ID Normalization

// Various input formats → T1, T2, T3...
"IMPL-001""T1"
"IMPL-01""T1"
"task-1""T1"
"1""T1"
"T-1""T1"

Depends-On Normalization

// Normalize all references to T-format
depends_on: ["IMPL-001", "task-2"]
// → ["T1", "T2"]

Action Validation

// Valid actions (case-insensitive, auto-capitalized)
['Create', 'Update', 'Implement', 'Refactor',
'Add', 'Delete', 'Configure', 'Test', 'Fix']

// Invalid actions → Default to 'Implement'
'build''Implement'
'write''Create'

Solution Schema

Target format for all extracted data:

interface Solution {
id: string; // SOL-{issue-id}-{4-char-uid}
description?: string; // High-level summary
approach?: string; // Technical strategy
tasks: Task[]; // Required: at least 1 task
exploration_context?: object; // Optional: source context
analysis?: {
risk: 'low' | 'medium' | 'high';
impact: 'low' | 'medium' | 'high';
complexity: 'low' | 'medium' | 'high';
};
score?: number; // 0.0-1.0
is_bound: boolean;
created_at: string;
bound_at?: string;
_conversion_metadata?: {
source_type: string;
source_path: string;
converted_at: string;
};
}

interface Task {
id: string; // T1, T2, T3...
title: string; // Required: action verb + target
scope: string; // Required: module path or feature area
action: Action; // Required: Create|Update|Implement...
description?: string;
modification_points?: Array<{file, target, change}>;
implementation: string[]; // Required: step-by-step guide
test?: {
unit?: string[];
integration?: string[];
commands?: string[];
coverage_target?: string;
};
acceptance: {
criteria: string[];
verification: string[];
};
commit?: {
type: string;
scope: string;
message_template: string;
breaking?: boolean;
};
depends_on?: string[];
priority?: number; // 1-5 (default: 3)
}

type Action = 'Create' | 'Update' | 'Implement' | 'Refactor' |
'Add' | 'Delete' | 'Configure' | 'Test' | 'Fix';

Priority Auto-Detection

For new issues created from plans:

const complexityMap = {
high: 2, // High complexity → priority 2 (high)
medium: 3, // Medium complexity → priority 3 (medium)
low: 4 // Low complexity → priority 4 (low)
};

// If no complexity specified, default to 3
const priority = complexityMap[plan.complexity?.toLowerCase()] || 3;

Error Handling

Error CodeMessageResolution
E001Source not found: {path}Check path exists and is accessible
E002Unable to detect source formatVerify file contains valid plan structure
E003Issue not found: {id}Check issue ID or omit --issue to create new
E004Issue already has bound solutionUse --supplement to add tasks
E005Failed to extract tasks from markdownCheck markdown structure, try simpler format
E006No tasks extracted from sourceSource must contain at least 1 task

CLI Endpoints

# Create new issue
ccw issue create << 'EOF'
{"title":"...","context":"...","priority":3,"source":"converted"}
EOF

# Check issue exists
ccw issue status &lt;id&gt; --json

# Get existing solution
ccw issue solution &lt;solution-id&gt; --json

# Bind solution to issue
ccw issue bind &lt;issue-id&gt; &lt;solution-id&gt;

# Update issue status
ccw issue update &lt;issue-id&gt; --status planned

Best Practices

  1. Verify source format: Ensure plan has valid structure before conversion
  2. Check for existing solutions: Use --supplement to add tasks, not replace
  3. Review extracted tasks: Verify AI extraction accuracy for markdown
  4. Normalize manually: Edit task IDs and dependencies if needed
  5. Test in supplement mode: Add tasks to existing solution before creating new issue
  6. Keep source artifacts: Don't delete original plan files after conversion