home / skills / catlog22 / claude-code-workflow / issue-discover
This skill discovers and creates issues from text, GitHub, or prompts, guiding multi-perspective analysis and automated planning for execution.
npx playbooks add skill catlog22/claude-code-workflow --skill issue-discoverReview the files below or copy the command above to add this skill to your agents.
---
name: issue-discover
description: Unified issue discovery and creation. Create issues from GitHub/text, discover issues via multi-perspective analysis, or prompt-driven iterative exploration. Triggers on "issue:new", "issue:discover", "issue:discover-by-prompt", "create issue", "discover issues", "find issues".
allowed-tools: spawn_agent, wait, send_input, close_agent, AskUserQuestion, Read, Write, Edit, Bash, Glob, Grep, mcp__ace-tool__search_context, mcp__exa__search
---
# Issue Discover
Unified issue discovery and creation skill covering three entry points: manual issue creation, perspective-based discovery, and prompt-driven exploration.
## Architecture Overview
```
┌─────────────────────────────────────────────────────────────────┐
│ Issue Discover Orchestrator (SKILL.md) │
│ → Action selection → Route to phase → Execute → Summary │
└───────────────┬─────────────────────────────────────────────────┘
│
├─ ASK_USER: Select action
│
┌───────────┼───────────┬───────────┐
↓ ↓ ↓ │
┌─────────┐ ┌─────────┐ ┌─────────┐ │
│ Phase 1 │ │ Phase 2 │ │ Phase 3 │ │
│ Create │ │Discover │ │Discover │ │
│ New │ │ Multi │ │by Prompt│ │
└─────────┘ └─────────┘ └─────────┘ │
↓ ↓ ↓ │
Issue Discoveries Discoveries │
(registered) (export) (export) │
│ │ │ │
│ ├───────────┤ │
│ ↓ │
│ ┌───────────┐ │
│ │ Phase 4 │ │
│ │Quick Plan │ │
│ │& Execute │ │
│ └─────┬─────┘ │
│ ↓ │
│ .task/*.json │
│ ↓ │
│ Direct Execution │
│ │ │
└───────────┴──────────────────────┘
↓ (fallback/remaining)
issue-resolve (plan/queue)
↓
/issue:execute
```
## Key Design Principles
1. **Action-Driven Routing**: ASK_USER selects action, then load single phase
2. **Progressive Phase Loading**: Only read the selected phase document
3. **CLI-First Data Access**: All issue CRUD via `ccw issue` CLI commands
4. **Auto Mode Support**: `-y` flag skips action selection with auto-detection
5. **Subagent Lifecycle**: Explicit lifecycle management with spawn_agent → wait → close_agent
6. **Role Path Loading**: Subagent roles loaded via path reference in MANDATORY FIRST STEPS
## Auto Mode
When `--yes` or `-y`: Skip action selection, auto-detect action from input type.
## Usage
```
issue-discover <input>
issue-discover [FLAGS] "<input>"
# Flags
-y, --yes Skip all confirmations (auto mode)
--action <type> Pre-select action: new|discover|discover-by-prompt
# Phase-specific flags
--priority <1-5> Issue priority (new mode)
--perspectives <list> Comma-separated perspectives (discover mode)
--external Enable Exa research (discover mode)
--scope <pattern> File scope (discover/discover-by-prompt mode)
--depth <level> standard|deep (discover-by-prompt mode)
--max-iterations <n> Max exploration iterations (discover-by-prompt mode)
# Examples
issue-discover https://github.com/org/repo/issues/42 # Create from GitHub
issue-discover "Login fails with special chars" # Create from text
issue-discover --action discover src/auth/** # Multi-perspective discovery
issue-discover --action discover src/api/** --perspectives=security,bug # Focused discovery
issue-discover --action discover-by-prompt "Check API contracts" # Prompt-driven discovery
issue-discover -y "auth broken" # Auto mode create
```
## Execution Flow
```
Input Parsing:
└─ Parse flags (--action, -y, --perspectives, etc.) and positional args
Action Selection:
├─ --action flag provided → Route directly
├─ Auto-detect from input:
│ ├─ GitHub URL or #number → Create New (Phase 1)
│ ├─ Path pattern (src/**, *.ts) → Discover (Phase 2)
│ ├─ Short text (< 80 chars) → Create New (Phase 1)
│ └─ Long descriptive text (≥ 80 chars) → Discover by Prompt (Phase 3)
└─ Otherwise → ASK_USER to select action
Phase Execution (load one phase):
├─ Phase 1: Create New → phases/01-issue-new.md
├─ Phase 2: Discover → phases/02-discover.md
└─ Phase 3: Discover by Prompt → phases/03-discover-by-prompt.md
Post-Phase:
└─ Summary + Next steps recommendation
```
### Phase Reference Documents
| Phase | Document | Load When | Purpose |
|-------|----------|-----------|---------|
| Phase 1 | [phases/01-issue-new.md](phases/01-issue-new.md) | Action = Create New | Create issue from GitHub URL or text description |
| Phase 2 | [phases/02-discover.md](phases/02-discover.md) | Action = Discover | Multi-perspective issue discovery (bug, security, test, etc.) |
| Phase 3 | [phases/03-discover-by-prompt.md](phases/03-discover-by-prompt.md) | Action = Discover by Prompt | Prompt-driven iterative exploration with Gemini planning |
| Phase 4 | [phases/04-quick-execute.md](phases/04-quick-execute.md) | Post-Phase = Quick Plan & Execute | Convert high-confidence findings to tasks and execute directly |
## Core Rules
1. **Action Selection First**: Always determine action before loading any phase
2. **Single Phase Load**: Only read the selected phase document, never load all phases
3. **CLI Data Access**: Use `ccw issue` CLI for all issue operations, NEVER read files directly
4. **Content Preservation**: Each phase contains complete execution logic from original commands
5. **Auto-Detect Input**: Smart input parsing reduces need for explicit --action flag
6. **⚠️ CRITICAL: DO NOT STOP**: Continuous multi-phase workflow. After completing each phase, immediately proceed to next
7. **Progressive Phase Loading**: Read phase docs ONLY when that phase is about to execute
8. **Explicit Lifecycle**: Always close_agent after wait completes to free resources
## Input Processing
### Auto-Detection Logic
```javascript
function detectAction(input, flags) {
// 1. Explicit --action flag
if (flags.action) return flags.action;
const trimmed = input.trim();
// 2. GitHub URL → new
if (trimmed.match(/github\.com\/[\w-]+\/[\w-]+\/issues\/\d+/) || trimmed.match(/^#\d+$/)) {
return 'new';
}
// 3. Path pattern (contains **, /, or --perspectives) → discover
if (trimmed.match(/\*\*/) || trimmed.match(/^src\//) || flags.perspectives) {
return 'discover';
}
// 4. Short text (< 80 chars, no special patterns) → new
if (trimmed.length > 0 && trimmed.length < 80 && !trimmed.includes('--')) {
return 'new';
}
// 5. Long descriptive text → discover-by-prompt
if (trimmed.length >= 80) {
return 'discover-by-prompt';
}
// Cannot auto-detect → ask user
return null;
}
```
### Action Selection (ASK_USER)
```javascript
// When action cannot be auto-detected
const answer = ASK_USER([{
id: "action",
type: "select",
prompt: "What would you like to do?",
options: [
{
label: "Create New Issue (Recommended)",
description: "Create issue from GitHub URL, text description, or structured input"
},
{
label: "Discover Issues",
description: "Multi-perspective discovery: bug, security, test, quality, performance, etc."
},
{
label: "Discover by Prompt",
description: "Describe what to find — Gemini plans the exploration strategy iteratively"
}
]
}]); // BLOCKS (wait for user response)
// Route based on selection
const actionMap = {
"Create New Issue": "new",
"Discover Issues": "discover",
"Discover by Prompt": "discover-by-prompt"
};
```
## Data Flow
```
User Input (URL / text / path pattern / descriptive prompt)
↓
[Parse Flags + Auto-Detect Action]
↓
[Action Selection] ← ASK_USER (if needed)
↓
[Read Selected Phase Document]
↓
[Execute Phase Logic]
↓
[Summary + Next Steps]
├─ After Create → Suggest issue-resolve (plan solution)
└─ After Discover → Suggest export to issues, then issue-resolve
```
## Subagent API Reference
### spawn_agent
Create a new subagent with task assignment.
```javascript
const agentId = spawn_agent({
message: `
## TASK ASSIGNMENT
### MANDATORY FIRST STEPS (Agent Execute)
1. **Read role definition**: ~/.codex/agents/{agent-type}.md (MUST read first)
2. Read: {projectRoot}/.workflow/project-tech.json
3. Read: {projectRoot}/.workflow/project-guidelines.json
## TASK CONTEXT
${taskContext}
## DELIVERABLES
${deliverables}
`
})
```
### wait
Get results from subagent (only way to retrieve results).
```javascript
const result = wait({
ids: [agentId],
timeout_ms: 600000 // 10 minutes
})
if (result.timed_out) {
// Handle timeout - can continue waiting or send_input to prompt completion
}
// Check completion status
if (result.status[agentId].completed) {
const output = result.status[agentId].completed;
}
```
### send_input
Continue interaction with active subagent (for clarification or follow-up).
```javascript
send_input({
id: agentId,
message: `
## CLARIFICATION ANSWERS
${answers}
## NEXT STEP
Continue with plan generation.
`
})
```
### close_agent
Clean up subagent resources (irreversible).
```javascript
close_agent({ id: agentId })
```
## Core Guidelines
**Data Access Principle**: Issues files can grow very large. To avoid context overflow:
| Operation | Correct | Incorrect |
|-----------|---------|-----------|
| List issues (brief) | `ccw issue list --status pending --brief` | `Read('issues.jsonl')` |
| Read issue details | `ccw issue status <id> --json` | `Read('issues.jsonl')` |
| Create issue | `echo '...' \| ccw issue create` | Direct file write |
| Update status | `ccw issue update <id> --status ...` | Direct file edit |
**ALWAYS** use CLI commands for CRUD operations. **NEVER** read entire `issues.jsonl` directly.
## Error Handling
| Error | Resolution |
|-------|------------|
| No action detected | Show ASK_USER with all 3 options |
| Invalid action type | Show available actions, re-prompt |
| Phase execution fails | Report error, suggest manual intervention |
| No files matched (discover) | Check target pattern, verify path exists |
| Gemini planning failed (discover-by-prompt) | Retry with qwen fallback |
| Agent lifecycle errors | Ensure close_agent in error paths to prevent resource leaks |
## Post-Phase Next Steps
After successful phase execution, recommend next action:
```javascript
// After Create New (issue created)
ASK_USER([{
id: "next_after_create",
type: "select",
prompt: "Issue created. What next?",
options: [
{ label: "Plan Solution", description: "Generate solution via issue-resolve" },
{ label: "Create Another", description: "Create more issues" },
{ label: "View Issues", description: "Review all issues" },
{ label: "Done", description: "Exit workflow" }
]
}]); // BLOCKS (wait for user response)
// After Discover / Discover by Prompt (discoveries generated)
ASK_USER([{
id: "next_after_discover",
type: "select",
prompt: `Discovery complete: ${findings.length} findings, ${executableFindings.length} executable. What next?`,
options: [
{ label: "Quick Plan & Execute (Recommended)", description: `Fix ${executableFindings.length} high-confidence findings directly` },
{ label: "Export to Issues", description: "Convert discoveries to issues" },
{ label: "Plan Solutions", description: "Plan solutions for exported issues via issue-resolve" },
{ label: "Done", description: "Exit workflow" }
]
}]); // BLOCKS (wait for user response)
// If "Quick Plan & Execute" → Read phases/04-quick-execute.md, execute
```
## Related Skills & Commands
- `issue-resolve` - Plan solutions, convert artifacts, form queues, from brainstorm
- `issue-manage` - Interactive issue CRUD operations
- `/issue:execute` - Execute queue with DAG-based parallel orchestration
- `ccw issue list` - List all issues
- `ccw issue status <id>` - View issue details
This skill provides unified issue discovery and creation across three entry points: manual creation, multi-perspective discovery, and prompt-driven iterative exploration. It routes inputs to a single phase, executes targeted discovery or creation logic, and offers immediate next steps such as exporting findings to issues or quick execution. Auto mode and CLI-first data access make it safe and automatable in CI or developer workflows.
Input and flags are parsed to auto-detect an action (create new, discover, or discover-by-prompt) or prompt the user when ambiguous. The orchestrator loads only the selected phase document, spawns subagents when needed, waits for results, and closes agents to free resources. Results are summarized and the skill recommends next actions: plan solutions, export discoveries to issues, or quick plan-and-execute high-confidence findings.
How does auto-detection choose the action?
The skill inspects the input and flags: GitHub URLs or issue numbers map to create new, path patterns or perspectives map to discover, short text (<80 chars) maps to create new, and long descriptions (≥80 chars) map to discover-by-prompt.
Can I run this non-interactively?
Yes. Use -y or --yes to skip confirmations and let the skill auto-detect and proceed. For deterministic behavior in scripts, also pass --action.