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Issue Workflow Commands

One-Liner

Issue workflow commands are the closed-loop system for issue management — from discovery, planning to execution, fully tracking the issue resolution process.

Core Concepts

Concept Description Location
Issue Structured issue definition .workflow/issues/ISS-*.json
Solution Execution plan .workflow/solutions/SOL-*.json
Queue Execution queue .workflow/queues/QUE-*.json
Execution State Progress tracking State within queue

Command List

Command Function Syntax
new Create structured issue from GitHub URL or text description /issue:new [-y] <github-url | description> [--priority 1-5]
discover Discover potential issues from multiple perspectives /issue:discover [-y] <path pattern> [--perspectives=dimensions] [--external]
discover-by-prompt Discover issues via user prompt /issue:discover-by-prompt [-y] <prompt> [--scope=src/**]
plan Batch plan issue solutions /issue:plan [-y] --all-pending <issue-id>[,...] [--batch-size 3]
queue Form execution queue /issue:queue [-y] [--queues N] [--issue id]
execute Execute queue /issue:execute [-y] --queue <queue-id> [--worktree [path]]
convert-to-plan Convert planning artifact to issue solution /issue:convert-to-plan [-y] [--issue id] [--supplement] <source>

Command Details

new

Function: Create structured issue from GitHub URL or text description, supporting requirement clarity detection.

Syntax:

/issue:new [-y|--yes] <github-url | text description> [--priority 1-5]

Options:

  • --priority 1-5: Priority (1=critical, 5=low)

Clarity Detection:

Input Type Clarity Behavior
GitHub URL 3 Direct creation
Structured text 2 Direct creation
Long text 1 Partial clarification
Short text 0 Full clarification

Issue Structure:

interface Issue {
  id: string;                    // GH-123 or ISS-YYYYMMDD-HHMMSS
  title: string;
  status: 'registered' | 'planned' | 'queued' | 'in_progress' | 'completed' | 'failed';
  priority: number;              // 1-5
  context: string;               // Issue description (single source of truth)
  source: 'github' | 'text' | 'discovery';
  source_url?: string;

  // Binding
  bound_solution_id: string | null;

  // Feedback history
  feedback?: Array<{
    type: 'failure' | 'clarification' | 'rejection';
    stage: string;
    content: string;
    created_at: string;
  }>;
}

Examples:

# Create from GitHub
/issue:new https://github.com/owner/repo/issues/123

# Create from text (structured)
/issue:new "login failed: expected success, actual 500 error"

# Create from text (vague - will ask)
/issue:new "auth has problems"

# Specify priority
/issue:new --priority 2 "payment timeout issue"

discover

Function: Discover potential issues from multiple perspectives (Bug, UX, Test, Quality, Security, Performance, Maintainability, Best Practices).

Syntax:

/issue:discover [-y|--yes] <path pattern> [--perspectives=bug,ux,...] [--external]

Options:

  • --perspectives=dimensions: Analysis dimensions
    • bug: Potential bugs
    • ux: UX issues
    • test: Test coverage
    • quality: Code quality
    • security: Security issues
    • performance: Performance issues
    • maintainability: Maintainability
    • best-practices: Best practices
  • --external: Use Exa external research (security, best practices)

Examples:

# Comprehensive scan
/issue:discover src/

# Specific dimensions
/issue:discover src/auth/ --perspectives=security,bug

# With external research
/issue:discover src/payment/ --perspectives=security --external

discover-by-prompt

Function: Discover issues via user prompt, using Gemini-planned iterative multi-agent exploration, supporting cross-module comparison.

Syntax:

/issue:discover-by-prompt [-y|--yes] <prompt> [--scope=src/**] [--depth=standard|deep] [--max-iterations=5]

Options:

  • --scope=path: Scan scope
  • --depth=depth: standard or deep
  • --max-iterations=N: Maximum iteration count

Examples:

# Standard scan
/issue:discover-by-prompt "find auth module issues"

# Deep scan
/issue:discover-by-prompt "analyze API performance bottlenecks" --depth=deep

# Specify scope
/issue:discover-by-prompt "check database query optimization" --scope=src/db/

plan

Function: Batch plan issue solutions, using issue-plan-agent (explore + plan closed loop).

Syntax:

/issue:plan [-y|--yes] --all-pending <issue-id>[,<issue-id>,...] [--batch-size 3]

Options:

  • --all-pending: Plan all pending issues
  • --batch-size=N: Issues per batch

Examples:

# Plan specific issues
/issue:plan ISS-20240115-001,ISS-20240115-002

# Plan all pending issues
/issue:plan --all-pending

# Specify batch size
/issue:plan --all-pending --batch-size 5

queue

Function: Form execution queue from bound solutions, using issue-queue-agent (solution level).

Syntax:

/issue:queue [-y|--yes] [--queues <n>] [--issue <id>]

Options:

  • --queues N: Number of queues to create
  • --issue id: Specific issue

Examples:

# Form queue
/issue:queue

# Create multiple queues
/issue:queue --queues 3

# Specific issue
/issue:queue --issue ISS-20240115-001

execute

Function: Execute queue, using DAG parallel orchestration (one commit per solution).

Syntax:

/issue:execute [-y|--yes] --queue <queue-id> [--worktree [<existing-path>]]

Options:

  • --queue id: Queue ID
  • --worktree [path]: Optional worktree path

Examples:

# Execute queue
/issue:execute --queue QUE-20240115-001

# Use worktree
/issue:execute --queue QUE-20240115-001 --worktree ../feature-branch

convert-to-plan

Function: Convert planning artifact (lite-plan, workflow session, markdown) to issue solution.

Syntax:

/issue:convert-to-plan [-y|--yes] [--issue <id>] [--supplement] <source>

Options:

  • --issue id: Bind to existing issue
  • --supplement: Supplement mode (add to existing solution)

Source Types:

  • lite-plan artifact
  • workflow session
  • Markdown file

Examples:

# Convert from lite-plan
/issue:convert-to-plan .workflow/sessions/WFS-xxx/artifacts/lite-plan.md

# Bind to issue
/issue:convert-to-plan --issue ISS-20240115-001 plan.md

# Supplement mode
/issue:convert-to-plan --supplement additional-plan.md

from-brainstorm

Function: Convert brainstorm session ideas to issues and generate executable solutions.

Syntax:

/issue:from-brainstorm SESSION="session-id" [--idea=<index>] [--auto] [-y|--yes]

Options:

  • --idea=index: Specific idea index
  • --auto: Auto mode

Examples:

# Convert all ideas
/issue:from-brainstorm SESSION="WFS-brainstorm-2024-01-15"

# Convert specific idea
/issue:from-brainstorm SESSION="WFS-brainstorm-2024-01-15" --idea=3

# Auto mode
/issue:from-brainstorm --auto SESSION="WFS-brainstorm-2024-01-15"

Issue Workflow

graph TD
    A[Discover Issue] --> B[Create Issue]
    B --> C[Plan Solution]
    C --> D[Form Execution Queue]
    D --> E[Execute Queue]
    E --> F{Success?}
    F -->|Yes| G[Complete]
    F -->|No| H[Feedback Learning]
    H --> C