/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
$ npx -y skills add vxcozy/workflow-orchestration --skill workflow-orchestration --agent claude-codeHow 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.mdname: 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
Read more
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
A skill for disciplined AI agent task execution with planning, verification, and self-improvement loops.

