Workflow Orchestrator

A skill that automatically coordinates workflows across multiple skills, triggering follow-up actions at appropriate milestones.

When This Skill Activates

This skill should be triggered automatically when:

• A skill completes its main workflow
• A milestone is reached (PRD complete, implementation done, etc.)
• User says "complete workflow" or "finish the process"

How It Works

┌─────────────────────────────────────────────────────────────┐
│                    Workflow Orchestration                   │
├─────────────────────────────────────────────────────────────┤
│                                                             │
│  1. Detect Milestone → 2. Read Hooks → 3. Execute Chain    │
│                                                             │
│  prd-planner complete                                       │
│       ↓                                                     │
│  workflow-orchestrator                                      │
│       ↓                                                     │
│  ┌─────────────────────────────────────┐                   │
│  │ auto-trigger self-improving-agent   │ (background)       │
│  │ auto-trigger session-logger         │ (auto)            │
│  └─────────────────────────────────────┘                   │
│                                                             │
└─────────────────────────────────────────────────────────────┘

Trigger Configuration

Read trigger definitions from skills/auto-trigger/SKILL.md:

hooks:
  after_complete:
    - trigger: self-improving-agent
      mode: background
    - trigger: session-logger
      mode: auto
  on_error:
    - trigger: self-improving-agent
      mode: background

Execution Modes

Mode	Behavior	Use When
auto	Execute immediately, no confirmation	Logging, status updates
background	Execute without blocking	Reflection, analysis
ask_first	Ask user before executing	PRs, deployments, major changes

Milestone Detection

PRD Complete

Detected when:
- docs/{scope}-prd.md exists
- All phases in {scope}-prd-task-plan.md are checked
- Status shows "COMPLETE"

Actions:
1. Trigger self-improving-agent (background)
2. Trigger session-logger (auto)

Implementation Complete

Detected when:
- All PRD requirements implemented
- Tests pass
- Code committed

Actions:
1. Trigger code-reviewer (ask_first)
2. Trigger create-pr if changes staged
3. Trigger session-logger (auto)

Self-Improvement Complete

Detected when:
- Reflection complete
- Patterns abstracted
- Skill files modified

Actions:
1. Trigger create-pr (ask_first)
2. Trigger session-logger (auto)

Universal Learning (Any Skill Complete)

Detected when:
- ANY skill completes its workflow
- User provides feedback
- Error or issue encountered

Actions:
1. Trigger self-improving-agent (background)
2. Trigger session-logger (auto)

The self-improving-agent:
- Extracts experience from completed skill
- Identifies patterns and insights
- Updates related skills with learned patterns
- Consolidates memory for future reference

Error Handling (on_error)

Detected when:

• A command returns non-zero exit code
• Tests fail after following skill guidance
• User reports the guidance produced incorrect results

Actions:

1. Trigger self-improving-agent (background) for self-correction
2. Trigger session-logger (auto) to capture error context

Hook Implementation in Skills

To enable auto-trigger, add this section to any skill's SKILL.md:

## Auto-Trigger (After Completion)

When this skill completes, automatically trigger:

```yaml
hooks:
  after_complete:
    - trigger: skill-name
      mode: auto|background|ask_first
      context: "relevant context"
  on_error:
    - trigger: self-improving-agent
      mode: background

Current Skill Hooks

• prd-planner: After PRD complete → self-improving-agent + session-logger
• self-improving-agent: After improvement → create-pr + session-logger
• prd-implementation-precheck: After implementation → self-improving-agent + session-logger
• code-reviewer: After review → self-improving-agent + session-logger
• debugger: After debugging → self-improving-agent + session-logger
• create-pr: After PR created → session-logger
• session-logger: No trigger (terminates chain)

Universal Learning Pattern

┌─────────────────────────────────────────────────────────────┐
│                  ANY Skill Completes                        │
└──────────────┬──────────────────────────────────────────────┘
               │
               ↓
    ┌──────────────────────┐
    │ workflow-orchestrator │
    └──────────┬───────────┘
               │
    ┌──────────┴─────────┐
    ↓                   ↓
self-improving-agent  session-logger
    ↓                   ↓
Learn from experience  Save context
    ↓                   ↓
Update skills         Log session
    ↓
create-pr (if modified)

## Workflow Examples

### Example 1: PRD Creation Workflow

User: "Create a PRD for user authentication" ↓ prd-planner executes ↓ Phase 6 complete: PRD delivered ↓ workflow-orchestrator detects milestone ↓ ┌─────────────────────────────────┐ │ Background: self-improving-agent │ → Learns from PRD patterns │ Auto: session-logger │ → Saves session └─────────────────────────────────┘

### Example 2: Full Feature Workflow

User: "Create a PRD and implement it" ↓ prd-planner → workflow-orchestrator ↓ self-improving-agent → workflow-orchestrator ↓ prd-implementation-precheck ↓ implementation complete → workflow-orchestrator ↓ code-reviewer → self-improving-agent → workflow-orchestrator ↓ create-pr → workflow-orchestrator ↓ session-logger

Each step triggers `self-improving-agent` to learn from the experience.

## Implementation Steps

### Step 1: Detect Milestone

Check for completion indicators:

```bash
# PRD complete?
grep -q "COMPLETE" docs/{scope}-prd-task-plan.md

# All phases checked?
grep -q "^\- \[x\].*Phase 6" docs/{scope}-prd-task-plan.md

# PRD file exists?
ls docs/{scope}-prd.md

Step 2: Read Trigger Config

# Read hooks from auto-trigger skill
cat skills/auto-trigger/SKILL.md

Step 3: Execute Hooks

For each hook in order (before_start, after_complete, on_error):

1. Check if condition is met
2. Execute based on mode
3. Pass context to triggered skill
4. Wait/continue based on mode

Step 4: Update Status

Log what was triggered and the result:

## Workflow Execution

- [x] self-improving-agent (background) - Started
- [x] session-logger (auto) - Session saved
- [ ] create-pr (ask_first) - Pending user approval

Skills with Auto-Trigger

Skill	Triggers After
prd-planner	self-improving-agent, session-logger
self-improving-agent	create-pr, session-logger
prd-implementation-precheck	code-reviewer, session-logger
code-reviewer	self-improving-agent, session-logger
create-pr	session-logger
refactoring-specialist	self-improving-agent, session-logger
debugger	self-improving-agent, session-logger

Adding Auto-Trigger to Existing Skills

To add auto-trigger capability to an existing skill, add to the end of its SKILL.md:

---

## Auto-Trigger

When this skill completes, automatically trigger:

```yaml
hooks:
  after_complete:
    - trigger: session-logger
      mode: auto
      context: "Save session context"

For more complex triggers, specify mode and context:

```markdown
## Auto-Trigger

When this skill completes:

```yaml
hooks:
  after_complete:
    - trigger: next-skill
      mode: background
      context: "Description"
    - trigger: session-logger
      mode: auto
      context: "Save session"
    - trigger: create-pr
      mode: ask_first
      context: "Create PR if files modified"
  on_error:
    - trigger: self-improving-agent
      mode: background

## Best Practices

1. **Always log to session** - Every workflow should end with session-logger
2. **Ask before major actions** - PRs, deployments, destructive changes
3. **Background for analysis** - Reflection, evaluation, optimization
4. **Auto for status** - Logging, status updates, bookmarks
5. **Don't create loops** - Ensure chains terminate