sina-narrative-translator

Translate founder narrative into disk rows and machine-enforceable tasks before execution.

Updated Jun 20, 2026
One-click install
npx skills add https://github.com/Noetfield-Systems/SourceA --skill sina-narrative-translator-noetfield-systems
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: sina-narrative-translator
Source: https://github.com/Noetfield-Systems/SourceA/tree/main/.cursor/skills/sina-narrative-translator
Command: npx skills add https://github.com/Noetfield-Systems/SourceA --skill sina-narrative-translator-noetfield-systems

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Founder intent expressed in informal chat language gets lost when machine-only replies handle governance topics, causing misalignment between narrative discussions and enforceable disk state. This Skill bridges that gap by translating founder messages into plain-language intent, mapping them to authority rows or LOCKED file paths, and producing machine tasks with proof commands. ## Core Features & Use Cases - Three-layer translation pipeline: Converts founder intent through TRANSLATE (plain words), MAP (authority row or LOCKED path), and MACHINE (task, gate, proof command) steps with a required reply shape. - Touch-base update loop: Reads and updates the LATEST_TOUCH_BASE bridge file, searches megachat transcripts when topics are disputed, and timestamps changes. - Light chat bootstrap: Provides a mandatory-read paste block for new chats so Brain and Worker sessions load the same translator contract without full transcript history. - Use Case: After a long megachat session, a founder opens a new chat and asks "what did I mean by the P1 split?" The Skill reads the touch-base bridge, cites the mapped authority row, and returns a human-readable answer plus one enforceable next task. ## Quick Start Ask the assistant to translate my last founder message into a TRANSLATE, MAP, MACHINE reply using the LATEST_TOUCH_BASE bridge file.

Frequently Asked Questions about sina-narrative-translator

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I translate founder chat messages into enforceable tasks?

Follow the three-layer pipeline: TRANSLATE the intent into plain words, MAP it to one authority row or LOCKED file path, then define the MACHINE task with a gate and one proof command. Never skip the translation step for governance topics.

How to hand off context from a long chat to a new session?

Use the light chat bootstrap paste block, which lists mandatory reads: the LATEST_TOUCH_BASE bridge file, the narrative translator, the conscious-recovery skill, and the terminology dictionary. This loads the translator contract without the full transcript.

What is the difference between megachat and SourceA Brain roles?

The megachat extracts, translates, and updates the narrative bridge, while SourceA Brain routes and enforces on disk, and the Worker builds with receipts. The bridge file links both so neither operates cold.

When should the touch-base bridge file be updated?

Update it on touch-base requests, SAVE bridge commands, "what did I mean" questions, or when a topic is disputed. The loop reads LATEST, searches the transcript if needed, updates the MEANT, MAPS_TO, NOT, and NEXT_MACHINE sections, then sets a timestamp.

What are the limitations of narrative-only chat memory?

Relying on "I remember from earlier chat" is an anti-pattern because sessions differ in context and history. The Skill requires citing the LATEST bridge file or searching the transcript instead, and pairs with conscious-recovery when context is thin.