Does it work with any programming language?

Yes, as part of the model-agnostic Psters AI Workflow, it is designed to work across any project, framework, or language by analyzing git changes.

What documentation types does it support?

The skill includes specialized handlers for backend modules, frontend features, Lambda functions, and general architectural patterns.

What is the documentation quality gate?

It is a set of six criteria—Specificity, State Clarity, Operational Usefulness, Contract Accuracy, Consistency, and Signal—that all documentation must meet before completion.

How does this skill prevent documentation drift?

It triggers automatically at the end of implementation phases, using git diffs to verify that documentation accurately reflects the current state of the code.

Docs Maintenance After Work

Name: Docs Maintenance After Work
Author: J-Pster

byJ-Pster

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287

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Content Management

Automates post-implementation documentation updates to ensure technical docs remain synchronized with code and prevent knowledge drift.

The docs-maintenance-after-work skill automates the critical task of updating documentation immediately following code changes. By integrating directly into the development workflow, it triggers specialized agents to update backend modules, frontend features, and serverless documentation based on git diffs and implementation summaries. It features a rigorous six-point quality gate that enforces specificity, operational usefulness, and architectural consistency, effectively eliminating documentation rot and ensuring that project standards evolve alongside the codebase.

Key Features

01Specialized documentation writers for backend, frontend, and Lambda environments.

02287 GitHub stars

03Git-diff aware updates that pinpoint exactly what changed in the implementation.

04Rigorous documentation quality gate ensuring specificity and contract accuracy.

05Intelligent pattern extraction to capture and document reusable architectural designs.

06Automated plan synchronization to align documentation with actual implementation state.

Use Cases

01Capturing new design patterns discovered during implementation into project standards.

02Updating API documentation and DTO definitions immediately after a backend refactor.

03Synchronizing project roadmaps and work plans with the completed codebase.

Key Features

01Specialized documentation writers for backend, frontend, and Lambda environments.

02287 GitHub stars

03Git-diff aware updates that pinpoint exactly what changed in the implementation.

04Rigorous documentation quality gate ensuring specificity and contract accuracy.

05Intelligent pattern extraction to capture and document reusable architectural designs.

06Automated plan synchronization to align documentation with actual implementation state.

Use Cases

01Capturing new design patterns discovered during implementation into project standards.

02Updating API documentation and DTO definitions immediately after a backend refactor.

03Synchronizing project roadmaps and work plans with the completed codebase.