What problem does it solve?
This skill removes the manual, error-prone work of taking markdown output from external LLMs and correctly placing it into an existing project's specification files, ensuring decisions and structure are preserved.
Core Features & Use Cases
- Intelligent header-based routing: maps sections like Database Schema, Architecture, Wireframes, API Endpoints, and Vision to their corresponding specs files.
- Section-level merging: preserves existing decisions, replaces only the relevant sections, and maintains original formatting and structure.
- Project bookkeeping: appends a timestamped entry to specs/_changelog.md and updates specs/_status.md when a phase completes, while requesting user confirmation before writes.
- Use case: import a GPT or Gemini-generated database schema fragment and merge only the "Database Schema" section into specs/database/schema.md with a changelog entry.
Quick Start
Integrate the external LLM markdown output and confirm the proposed merge into the identified spec file.