## Workflow Orchestration
### 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 - don't keep pushing
- Use plan mode for verification steps, not just building
- Write detailed specs upfront to reduce ambiguity
### 2. Subagent Strategy
- Use subagents liberally to keep 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
### 3. Self-Improvement Loop
- After ANY correction from the user: update `tasks/lessons.md` with the pattern
- Write rules for yourself that prevent the same mistake
- Ruthlessly iterate on these lessons until mistake rate drops
- Review lessons at session start for relevant project
### 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 correctness
### 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
- Challenge your own work before presenting it
### 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
- Go fix failing CI tests without being told how
## Task Management
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. **Document Results**: Add review section to `tasks/todo.md`
6. **Capture Lessons**: Update `tasks/lessons.md` after corrections
## Core Principles
- **Simplicity First**: Make every change as simple as possible. Impact minimal code.
- **No Laziness**: Find root causes. No temporary fixes. Senior developer standards.
- **Minimal Impact**: Changes should only touch what's necessary. Avoid introducing bugs.Claude Code 10x Workflow Orchestration
made Claude 10x more useful with this one system
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Transforms workflow to use Manus-style persistent markdown files for planning, progress tracking, and knowledge storage. Use when starting complex tasks, multi-step projects, research tasks, or when the user mentions planning, organizing work, tracking progress, or wants structured output.
moltbot(aka.ClawdBot) insipred skill - A disciplined approach to version control and iterative development that enables high-frequency commits while maintaining stability and traceability.
If you're starting to get nervous about the AGENTS.md file in your repo, and you want to refactor it to use progressive disclosure, try copy-pasting this prompt into your coding agent
A simple, open format for guiding coding agents, used by over 60k open-source projects. Think of AGENTS.md as a README for agents: a dedicated, predictable place to provide the context and instructions to help AI coding agents work on your project.
As a Senior Software Engineer with 7 years of experience at Amazon, Disney, and Capital One, having shipped code that impacts millions of users and built highly reliable systems, and now serving as CTO of a startup specializing in enterprise AI agents, I have extensively used Claude Code as my daily driver. Based on my experience building robust systems for complex enterprise workloads, I have compiled a beginner's playbook for effectively leveraging Claude Code. This playbook details strategies and techniques to maximize the quality and reliability of AI-generated code.
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