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coding-prefs

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by langchain-ai · part of langchain-ai/deepagents

Read the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives…

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🧩 One of 7 skills in the langchain-ai/deepagents package — works on its own, and pairs well with its siblings.

Read the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives…

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name: coding-prefs description: Read the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives durable feedback.

Coding Preferences Skill

Use this skill to keep /memory/coding-prefs.md in sync with how this specific user wants you to work. This file is user-scoped, so each user has their own copy — anything you write here only affects future conversations with the same user.

When to Read

  • Before picking a code style, test framework, or commit message format
  • Before deciding whether to add comments, type hints, or docstrings
  • Before refactoring beyond what was asked

When to Write

Append a new entry whenever the user gives feedback that should apply to future work:

  • "Don't add docstrings unless I ask" → save it
  • "I prefer pytest over unittest" → save it
  • "Stop summarizing what you did at the end" → save it

Each entry should be one line: the rule, then a brief reason if the user gave one.

How to Write

Read the file first (it may not exist yet), then append. Don't overwrite — preferences accumulate over time. If a new preference contradicts an existing one, replace the old line and note the change.