Planning
Break down a coding task into a structured implementation plan with clear steps, file identificat…
by langchain-ai · MIT
The skill
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
Use this skill
Connect your agent to the Skill Store MCP server and ask for it by ref: langchain-ai/planning-2396015703.
Details
- Publisher
- langchain-ai
- Category
- Software Development › Developer docs & tooling
- License
- MIT
- Updated
- 2026-10-19
References
More from langchain-ai
- Deep Agents Core INVOKE THIS SKILL when building ANY Deep Agents application.
- Deep Agents Memory INVOKE THIS SKILL when your Deep Agent needs memory, persistence, or filesystem access.
- Deep Agents Orchestration INVOKE THIS SKILL when using subagents, task planning, or human approval in Deep Agents.
- Deepagents Python Quickstart Scaffold a minimal local Deep Agent in Python by following the official quickstart, using provide…