zhaono1/agent-playbook2 files

Workflow Orchestrator

Coordinates multi-skill workflows and records or runs follow-up actions when the host runtime supports them. Use when completing PRD creation, implementation, or any milestone that should be evaluated for additional skills.

Specification
Skill ID
zhaono1/agent-playbook/workflow-orchestrator
Publisher
zhaono1
Repository
agent-playbook
Installs
0
Files
2
Synced
Sep 23, 2026
How to use it

Open any RiverX project, open the Skills panel in the chat, and search for this identifier. The files are fetched from the source repository at install time.

zhaono1/agent-playbook/workflow-orchestratorInstalls these files
  • README.md
  • SKILL.md

What this skill tells the agent

Workflow Orchestrator

A skill that coordinates workflows across multiple skills by evaluating hook metadata, recording pending follow-ups, and running only the actions that are safe and supported in the current host runtime.

When This Skill Activates

This skill should be used 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. Record/Run Safe Follow-ups │
│                                                             │
│  prd-planner complete                                       │
│       ↓                                                     │
│  workflow-orchestrator                                      │
│       ↓                                                     │
│  ┌─────────────────────────────────────┐                   │
│  │ declared self-improving follow-up   │ (record/run)       │
│  │ declared session logging follow-up  │ (record/run)       │
│  └─────────────────────────────────────┘                   │
│                                                             │
└─────────────────────────────────────────────────────────────┘

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

ModeBehaviorUse When
autoRun or record a low-risk follow-up when the host supports itLogging, status updates
backgroundRecord a non-blocking follow-upReflection, analysis
ask_firstAsk user before executingPRs, 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. Record self-improving-agent as a background follow-up
2. Run or record session-logger if the host supports it

Implementation Complete

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

Actions:
1. Ask before running code-reviewer
2. Run create-pr only when the user requested submission
3. Run or record session-logger if the host supports it

Self-Improvement Applied

Detected when:
- Candidate validated with auditable evidence
- One named durable owner changed
- Representative behavior rerun
- Candidate recorded as applied

Actions:
1. Ask before running create-pr
2. Run or record session-logger if the host supports it

Learning Candidate (Skill Complete)

Detected when:
- A skill completes its workflow and produces reusable evidence
- User provides feedback
- Error or issue encountered

Actions:
1. Record self-improving-agent as a background follow-up
2. Run or record session-logger if the host supports it

The self-improving-agent:
- Captures a candidate only when reusable evidence exists
- Excludes raw transcripts and private tool payloads
- Keeps uncertain findings under observation
- Validates candidates only with explicit, auditable evidence
- Applies validated changes only to a named durable owner with a change reference
- Proves the representative behavior after application

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. Record self-improving-agent (background) for self-correction
  2. Run or record session-logger to capture error context

Hook Implementation in Skills

To declare follow-up metadata, add this section to any skill's SKILL.md:

## Auto-Trigger (After Completion)

When this skill completes, record or run supported follow-ups:

hooks: after_complete:

  • trigger: skill-name mode: auto|background|ask_first context: "relevant context" on_error:
  • trigger: self-improving-agent mode: background

### Current Hook Contract

Hook metadata is declarative intent, not proof of CLI automation. Read the
current skill front matter before acting. An absent hook means no declared
follow-up; an existing hook still requires host support and the permission
boundary for the target action.

### Universal Learning Pattern

┌─────────────────────────────────────────────────────────────┐ │ Skill Completes With Evidence │ └──────────────┬──────────────────────────────────────────────┘ │ ↓ ┌──────────────────────┐ │ workflow-orchestrator │ └──────────┬───────────┘ │ ┌──────────┴─────────┐ ↓ ↓ self-improving-agent session-logger ↓ ↓ Capture candidate Save bounded context ↓ ↓ Validate evidence Log session ↓ Apply to named owner ↓ create-pr (only if submission was requested)

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 │ → Records learning proposal
│ Auto: session-logger             │ → Saves session when supported
└─────────────────────────────────┘

Example 2: Full Feature Workflow

User: "Create a PRD and implement it"
        ↓
prd-planner → workflow-orchestrator
        ↓
self-improving-agent (candidate capture only)
        ↓
prd-implementation-precheck
        ↓
implementation complete → workflow-orchestrator
        ↓
code-reviewer → optional candidate capture
        ↓
create-pr (only when requested) → workflow-orchestrator
        ↓
session-logger

Each milestone can produce a self-improving-agent follow-up, but durable skill edits still require validation or explicit approval.

Implementation Steps

Step 1: Detect Milestone

Check for completion indicators:

# 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: Record or Execute Hooks

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

  1. Check if condition is met
  2. Record or execute based on mode and host support
  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

SkillTriggers After
prd-plannerself-improving-agent, session-logger
self-improving-agentNo automatic PR; applied changes may declare a logging follow-up
prd-implementation-precheckself-improving-agent, session-logger
code-reviewerself-improving-agent, session-logger
create-prsession-logger
refactoring-specialistself-improving-agent, session-logger
debuggerself-improving-agent, session-logger

Adding Follow-up Metadata to Existing Skills

Use this skill in a project

Open any RiverX project, search the Skills panel for zhaono1/agent-playbook/workflow-orchestrator, and install it in one click.

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