What problem does it solve? In multi-iteration AI-assisted development projects, context documents like decision logs, changelogs, and project state files quickly become stale, causing agents and developers to work from outdated information. This Skill automates the write-back of task completion results into all relevant project context documents. ## Core Features & Use Cases - Multi-document synchronization: Updates DECISIONS.md, CHANGELOG.md, PROJECT_STATE.md, TASKS.md, PAGE_SPECS.md, COMPONENTS.md, and API_SPECS.md from a single structured JSON input. - Structured decision recording: Captures decision context, alternatives considered, chosen option, rationale, author, and date in a consistent Markdown format. - Status tracking: Marks pages, components, APIs, and tasks as complete so downstream context retrieval always reflects the latest project state. - Use Case: After finishing a batch-delete feature for a user management page, submit the task completion JSON and have the changelog, decision log, project state, and task list all updated consistently in one pass. ## Quick Start Provide the task completion details as JSON including task name, status, modified components, pages, APIs, decisions, author, and date, then ask the agent to update all project context documents.
