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workflow-orchestration

Productivity
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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.

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Source SKILL.md: https://github.com/vxcozy/workflow-orchestration/blob/HEAD/SKILL.md

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Workflow Orchestration

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

Quick Reference

PracticeWhen to Apply
Plan ModeAny task with 3+ steps or architectural decisions
SubagentsResearch, exploration, parallel analysis
LessonsAfter ANY user correction
VerificationBefore marking any task complete
Elegance CheckNon-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):

## 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):

# 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