
planning
β 25,700by langchain-ai Β· part of langchain-ai/deepagents
Break down a coding task into a structured implementation plan with clear steps, file identification, and risk assessment.
Break down a coding task into a structured implementation plan with clear steps, file identification, and risk assessment.
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This is the exact playbook injected into your agent when the skill activates β shown here so you can audit it before installing. You don't need to read it to use the skill.
name: planning description: Break down a coding task into a structured implementation plan with clear steps, file identification, and risk assessment.
Planning Skill
Use this skill when starting a new coding task to create a thorough implementation plan.
Steps
1. Understand the Task
- Read the issue/task description completely
- Identify the expected outcome and acceptance criteria
- Note any constraints or requirements mentioned
2. Explore the Codebase
- Find the repository root and read the project structure
- Identify the tech stack (language, framework, test runner)
- Read README, CONTRIBUTING, or similar docs if they exist
- Find existing tests to understand testing patterns
3. Identify Relevant Files
- Use
grepto find code related to the task - Read the most relevant files (entry points, related modules)
- Identify which files need to be modified vs. created
- Check for existing patterns you should follow
4. Write the Plan
Use write_todos to create a structured plan:
write_todos([
"1. <specific change in specific file>",
"2. <next specific change>",
"3. Write tests for <feature>",
"4. Run test suite and fix failures",
"5. Review all changes"
])5. Assess Risks
- Are there breaking changes?
- Are there edge cases to handle?
- Does this affect other parts of the codebase?
- Flag anything uncertain for review
Guidelines
- Plans should have 3-10 concrete steps
- Each step should be specific enough to execute without further planning
- Include test writing and test running as explicit steps
- End with a review/verification step
npx skills add https://github.com/langchain-ai/deepagents --skill planningRun this in your project β your agent picks the skill up automatically.
No common issues documented yet. If you hit a problem, the repository's GitHub Issues page is the best place to look.