ss-bs-discovering-memory-file

Discover and write the canonical agent memory file during project bootstrap.

Updated May 19, 2026

Search Tags:#synthesis #agent memory #project bootstrap #atomic file write #configuration writeback #character budget #audit drift check

Ready to run

npx skills add https://github.com/Emrebener/Sublime-Skills --skill ss-bs-discovering-memory-file

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: ss-bs-discovering-memory-file
Source: https://github.com/Emrebener/Sublime-Skills/tree/main/skills/project-bootstrap/ss-bs-discovering-memory-file
Command: npx skills add https://github.com/Emrebener/Sublime-Skills --skill ss-bs-discovering-memory-file

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It eliminates duplicate, inconsistent agent memory during project bootstrap by discovering, drafting, and writing the single canonical project memory file while linking to the other six bootstrap artifacts.

Core Features & Use Cases

Discovers the canonical memory file target: detects or asks which of CLAUDE.md / AGENTS.md / GEMINI.md / .agents.md should be created or maintained.
Synthesizes memory content with pointers: drafts conventions, vocabulary seeds, NEVER/MUST rules, commands, and pointer entries while avoiding restating full content from other artifacts.
Runs safely with guardrails: enforces character limits from config, writes atomically via a .tmp file, and validates config after writeback.

Quick Start

Use the ss-bs-discovering-memory-file skill to bootstrap and write the project’s canonical agent memory file, updating .sublime-skills/config.yml with its chosen path.

Frequently Asked Questions about ss-bs-discovering-memory-file

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

FAQPage Schema

How do I generate a canonical agent memory file during project bootstrap?▼

To generate a canonical agent memory file during project bootstrap, use this Skill to discover the correct target artifact among CLAUDE.md, AGENTS.md, or GEMINI.md and synthesize high-value, non-duplicative navigation content into it.

How do I prevent duplicate and inconsistent agent memory files across different AI coding tools?▼

Prevent duplicate and inconsistent agent memory by using this Skill to discover and write a single canonical project memory file, linking to the other six bootstrap artifacts instead of restating their full content.

How does atomic file write work when updating agent memory configuration?▼

Atomic file write works by writing the agent memory content to a temporary .tmp file first, then moving it into place to ensure correctness. The Skill then runs validate-config.sh after config writeback to guarantee integrity.

Can I enforce a character limit on synthesized agent memory content?▼

Yes, you can enforce a character limit on agent memory content. This Skill respects the memory_file.character_limit setting from your configuration to ensure the generated navigation pointers and rules fit within budget constraints.

What is the best way to resolve audit drift against existing agent memory content?▼

The best way to resolve audit drift is to run this Skill in audit mode within the project bootstrap sequence. It checks existing memory content and updates the canonical file to eliminate inconsistencies and duplicate pointers.

Does this agent memory bootstrap process work with GEMINI.md and .agents.md files?▼

Yes, the agent memory bootstrap process works with GEMINI.md and .agents.md files. The Skill automatically discovers or asks which target artifact should be created or maintained across these supported formats.