com um clique
plan-mode
Guide for creating structured plans with numbered steps and quality gates
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
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Guide for creating structured plans with numbered steps and quality gates
Instalar com Codex ou Claude Copie este prompt, cole no Codex, Claude ou outro assistente e deixe que ele revise a página da skill e instale para você.
Baseado na classificação ocupacional SOC
Design multi-service architectures with RAW workflows as components
Writing effective dry_run.py mocks for workflow testing without external dependencies
Understanding and passing workflow quality gates (validate, dry, pytest, ruff, typecheck)
Test-driven development loop for workflows - write tests first, then implementation
Creating reusable tools in tools/ directory that workflows can import and use
Create Agent Skills that comply with the agentskills.io specification. Use when the user asks to create a new skill, add agent capabilities, or build reusable instructions.
| name | plan-mode |
| description | Guide for creating structured plans with numbered steps and quality gates |
Use this skill when creating a plan for workflow implementation.
Your plan MUST follow this structure:
validate, drypytest, ruff, typecheck## 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