Sdlc Workflow

SDLC Workflow Skill

This skill provides guidance for orchestrating and debugging ai-sdlc workflow execution.

Overview

The ai-sdlc CLI manages story progression through phases (research → planning → implementation → review). This skill helps run workflows effectively and debug issues when stories get stuck.

Workflow Commands

Basic Execution

# Run workflow for a specific story
ai-sdlc run --story S-0001

# Run with verbose output (recommended for debugging)
ai-sdlc run --story S-0001 --verbose

# Dry run - show what would happen without executing
ai-sdlc run --story S-0001 --dry-run

# Auto mode - skip confirmations
ai-sdlc run --story S-0001 --auto

Checking Status

# List all stories
ai-sdlc list

# Show story details including current phase
ai-sdlc show S-0001

# Filter by label
ai-sdlc list --label epic-auth

Common Issues

Story Not Progressing

Symptoms: Story stays in same phase after run completes

Debugging Steps:

1. Check story frontmatter status: ai-sdlc show <story-id>
2. Look for phase gate blockers in story.md
3. Check if acceptance criteria are met
4. Run with --verbose to see phase execution details

Common Causes:

• Missing required frontmatter fields
• Phase prerequisites not met
• Acceptance criteria validation failing

Recovery Limits Hit

Symptoms: "Max recovery attempts reached" error

What's Happening: The workflow has a safety limit on automatic retries

Resolution:

1. Check verbose output for the actual failure
2. Manually fix the underlying issue
3. Reset story state if needed
4. Re-run with --verbose

Stage Gate Failures

Symptoms: Phase completes but story doesn't advance

Debugging:

1. Check story.md for phase completion markers
2. Verify all checklist items are complete
3. Look for validation errors in output
4. Check frontmatter status and phase fields match

Debugging Tips

Always Use Verbose Mode When Debugging

ai-sdlc run --story S-0001 --verbose

Verbose mode shows:

• Phase transitions
• Agent spawning
• File operations
• Validation checks

Check Story Folder Contents

# See what artifacts exist
ls -la .ai-sdlc/stories/S-0001/

# Common files:
# - story.md (main story document)
# - research.md (research phase output)
# - plan.md (planning phase output)
# - implementation-log.md (implementation notes)

Verify Frontmatter State

The story frontmatter controls workflow progression:

---
id: S-0001
title: Story Title
status: in-progress  # draft | in-progress | blocked | done
phase: planning      # research | planning | implementation | review
---

Reset Story State

If a story is stuck, you may need to manually edit frontmatter:

1. Open .ai-sdlc/stories/<id>/story.md
2. Check status and phase fields
3. Adjust as needed
4. Re-run workflow

Multi-Agent Workflow

The workflow spawns multiple agents for different phases. Debug agent issues by:

1. Check agent output - Verbose mode shows agent communication
2. Verify environment - Agents inherit parent environment
3. Watch for timeouts - Long-running agents may hit limits
4. Check tool availability - Some agents need specific tools enabled

Quick Reference

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