
coding-prefs
โ 25,749by langchain-ai ยท 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 durable feedback.
This is the playbook your agent receives when the skill activates โ you don't need to read it to use the skill, but it's here to audit before installing.
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 โ 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" โ save it
- "I prefer pytest over unittest" โ save it
- "Stop summarizing what you did at the end" โ 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 โ preferences accumulate over time. If a new preference contradicts an existing one, replace the old line and note the change.
npx skills add langchain-ai/deepagents --skill "coding-prefs" --full-depthRun this in your project โ 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.
Licensed under MITโ you can use, modify, and redistribute it under that license's terms.
View the full license file on GitHub โ