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workflow-orchestration

workflow-orchestration

github.com/vxcozyAgent workflows117252 installsUpdated 27w ago
Repository

About workflow-orchestration

workflow-orchestration is a skill for agents that structures complex work around planning, delegation, verification, and learning from corrections. It also provides task-tracking practices for implementation and review.

Key features

  1. 01Plan tasks with checkable steps
  2. 02Delegate research and parallel analysis
  3. 03Record lessons after corrections
  4. 04Verify results before completion
  5. 05Track progress and document reviews

Use cases

  1. 01Planning multi-step implementation work
  2. 02Splitting research across subagents
  3. 03Revising a task after verification fails
  4. 04Capturing recurring mistakes and lessons

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/vxcozy/workflow-orchestration --skill workflow-orchestration

After installing, type/workflow-orchestrationin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

LICENSE
.gitignore
README.md
docs/
explanation.md
howto.md
tutorial.md
references/
task-templates.md
lessons-format.md
REFERENCE.md

Details

From the project README

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

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