literate-agent
NewLiterate-programming doctrine — rules, skills, hooks, and templates — packaged as a Claude Code plugin and as a CLAUDE.md-importable aggregator.
Summary
The Literate Agent skill packages literate programming principles into a Claude Code plugin, providing rules, hooks, and templates for writing self-documenting, human-readable code.
- It helps developers maintain clear documentation alongside their code, improving collaboration and code maintainability.
Install & Usage
mkdir -p .claude/agentsAdd the configuration to .claude/agents/literate-agent.md
@literate-agentUse Cases
Usage Examples
/literate-agent document the main.py file in the current project with inline explanations for each function
Add literate programming comments to the authentication module, explaining the OAuth flow step by step
Generate a literate-style README.md for this project, extracting docstrings from all Python files
Security Audits
Frequently Asked Questions
What is literate-agent?
The Literate Agent skill packages literate programming principles into a Claude Code plugin, providing rules, hooks, and templates for writing self-documenting, human-readable code. It helps developers maintain clear documentation alongside their code, improving collaboration and code maintainability.
How to install literate-agent?
To install literate-agent: create the agents directory (mkdir -p .claude/agents), then add the config to .claude/agents/literate-agent.md. Finally, @literate-agent in Claude Code.
What is literate-agent best for?
literate-agent is a agent categorized under Documentation. It is designed for: agent, plugin. Created by jingtaozf.
What can I use literate-agent for?
literate-agent is useful for: Generate inline documentation that explains the purpose and logic of a code module as you write it.; Create a project README that automatically stays in sync with your codebase by extracting comments and docstrings.; Enforce a documentation standard across a team by applying literate programming templates to new files.; Refactor a legacy codebase by adding explanatory comments and structured documentation without changing functionality.; Produce a technical design document that weaves together code snippets and narrative explanations for a new feature.; Audit existing code for missing or outdated documentation and generate suggestions for improvement..