Plan Mode Skill

Use this skill when creating a plan for workflow implementation.

Plan Structure

Your plan MUST follow this structure:

1. Analysis

• What needs to be done and why?
• What is the current state vs. desired state?
• What are the constraints or requirements?

2. Approach

• High-level strategy for implementation
• Key design decisions
• Which patterns or libraries to use

3. Steps

• Numbered, concrete steps (3-10 steps typically)
• Each step should be specific and actionable
• Include which files will be modified
• Mention which tools/imports are needed
• Consider dependencies between steps

4. Quality Gates

• List gates that should pass after execution
• Always include: validate, dry
• Add optional gates if needed: pytest, ruff, typecheck

Example Plan

## Analysis
The workflow needs to fetch stock prices from Yahoo Finance API to provide
real-time data. Currently, there's no data fetching capability.

## Approach
We will create a new tool `yahoo_finance` in tools/ that wraps the yfinance
library, then integrate it into the workflow using a @step decorator.

## Steps
1. Create tools/yahoo_finance/tool.py with fetch_stock_price() function
2. Add yfinance dependency to tool's config.yaml
3. Update workflow run.py to import yahoo_finance
4. Add @step("fetch_prices") that calls yahoo_finance.fetch_stock_price()
5. Update dry_run.py with mock stock data for testing
6. Add test case in test.py for the fetch step

## Quality Gates
- validate: Structural validation must pass
- dry: Dry run with mocks must complete successfully
- pytest: All unit tests must pass

Tips

• Keep steps atomic and sequential
• Don't skip validation in your plan
• Always consider the dry run path
• Think about error cases and edge conditions
• Reference existing code patterns when possible