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Agent Orchestration
Skill

/workflow-orchestration

Disciplined task execution with planning, verification, and self-improvement loops. Use when starting non-trivial tasks (3+ steps), fixing bugs, building features, refactoring code, or when rigorous execution with quality gates is needed. Includes subagent delegation, lessons

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workflow-orchestration
1171 skill
Install
$ npx -y skills add vxcozy/workflow-orchestration --skill workflow-orchestration --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/workflow-orchestration

Context preview

The summary Claude sees to decide when to auto-load this skill.

Disciplined task execution with planning, verification, and self-improvement loops. Use when starting non-trivial tasks (3+ steps), fixing bugs, building features, refactoring code, or when rigorous execution with quality gates is needed. Includes subagent delegation, lessons

SKILL.md

workflow-orchestration.SKILL.md
name: workflow-orchestration
description: |
  Disciplined task execution with planning, verification, and self-improvement loops.
  Use when starting non-trivial tasks (3+ steps), fixing bugs, building features,
  refactoring code, or when rigorous execution with quality gates is needed.
  Includes subagent delegation, lessons tracking, and staff-engineer-level verification.
license: MIT
metadata:
  author: vxcozy
  version: "1.0.0"

Workflow Orchestration

Apply these practices for disciplined, high-quality task execution.

Quick Reference

| Practice | When to Apply | |----------|---------------| | Plan Mode | Any task with 3+ steps or architectural decisions | | Subagents | Research, exploration, parallel analysis | | Lessons | After ANY user correction | | Verification | Before marking any task complete | | Elegance Check | Non-trivial changes only |

1. Plan Mode Default

  • Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions)
  • If something goes sideways, STOP and re-plan immediately
  • Use plan mode for verification steps, not just building
  • Write detailed specs upfront to reduce ambiguity

2. Subagent Strategy

Keep the main context window clean:

  • Offload research, exploration, and parallel analysis to subagents
  • For complex problems, throw more compute at it via subagents
  • One task per subagent for focused execution

**Template:**

Agent({
  description: "Search auth patterns",
  prompt: "Find all authentication middleware in src/ and list file paths with a one-line summary of each."
})

3. Self-Improvement Loop

After ANY correction from the user:

1. Update `tasks/lessons.md` with the pattern 2. Write rules that prevent the same mistake 3. Review lessons at session start

**Inline example** (full template in [references/lessons-format.md](references/lessons-format.md)):

## 2024-01-10 - Testing
**Mistake**: Mocks hid real API behavior; production broke
**Pattern**: Over-mocking created false confidence
**Rule**: Include at least one integration test hitting real services
**Applied**: All API endpoints, external service integrations

4. Verification Before Done

  • Never mark a task complete without proving it works
  • Diff behavior between main and your changes when relevant
  • Ask yourself: "Would a staff engineer approve this?"
  • Run tests, check logs, demonstrate corrections
  • If verification fails → return to the plan step and revise before retrying

5. Demand Elegance (Balanced)

  • For non-trivial changes: pause and ask "is there a more elegant way?"
  • If a fix feels hacky: "Knowing everything I know now, implement the elegant solution"
  • Skip this for simple, obvious fixes—don't over-engineer

6. Autonomous Bug Fixing

  • When given a bug report: Just fix it. Don't ask for hand-holding
  • Point at logs, errors, failing tests—then resolve them
  • Zero context switching required from the user

Task Management Protocol

1. **Plan First**: Write plan to `tasks/todo.md` with checkable items 2. **Verify Plan**: Check in before starting implementation 3. **Track Progress**: Mark items complete as you go 4. **Explain Changes**: High-level summary at each step 5. **Verify Results**: Run tests and confirm behavior before marking done 6. **Handle Failures**: If verification fails → re-plan (step 1), don't push through 7. **Document Results**: Add review to `tasks/todo.md` 8. **Capture Lessons**: Update `tasks/lessons.md` after corrections

**Inline example** (full templates in [references/task-templates.md](references/task-templates.md)):

# Task: Fix memory leak in WebSocket handler
## Plan
- [ ] Reproduce the issue locally
- [ ] Identify leak source with profiler
- [ ] Implement fix
- [ ] Verification: Memory stable over 1000 connections

Core Principles

  • **Simplicity First**: Make every change as simple as possible
  • **No Laziness**: Find root causes. No temporary fixes. Senior developer standards
  • **Minimal Impact**: Only touch what's necessary. Avoid introducing bugs
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Ships withworkflow-orchestration

A skill for disciplined AI agent task execution with planning, verification, and self-improvement loops.

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MIT
License
6mo ago
Last commit
8mo ago
Created
4d ago
Added

Repo: vxcozy/workflow-orchestration