memory-init

Solid

Scaffold a project-local memory directory and AGENTS.md guidance for reusable agent knowledge. Use when a user wants to initialize `.agents/memories/` or another project memory path so future agents can read and maintain durable project context.

AI & Automation 36 stars 7 forks Updated today MIT

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100
Frontmatter 20%
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Issue Health 10%
50
License 10%
100
Description 5%
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Skill Content

# Memory Init Scaffold lightweight, project-local memory files that future agents can read and maintain. Use this skill to initialize durable project knowledge, not to store one-off task notes. The default target is `.agents/memories/`, with `AGENTS.md` guidance for Codex-oriented future use. ## Workflow 1. Confirm the target project root. 2. Inspect whether the target memory directory and agent instruction file already exist. 3. Use `.agents/memories/` unless the user specifies another memory directory. 4. Run `scripts/init_project_memory.py`. 5. Review the generated or changed files. 6. Report the memory directory and whether the agent instruction file was created or updated. ## Command From any location: ```bash python3 <skill-dir>/scripts/init_project_memory.py /path/to/project ``` With a custom memory directory: ```bash python3 <skill-dir>/scripts/init_project_memory.py /path/to/project --memory-dir docs/agent-memory ``` To create memory files without touching the agent instruction file: ```bash python3 <skill-dir>/scripts/init_project_memory.py /path/to/project --skip-agent ``` With an alternate agent instruction file: ```bash python3 <skill-dir>/scripts/init_project_memory.py /path/to/project --agent-file CLAUDE.md ``` ## Generated Files The scaffold creates missing files only. Existing memory files are preserved. - `README.md`: explains the memory system, what belongs there, and what must not be stored. - `index.md`: routes future agents to the relevan...

Details

Author
flc1125
Repository
flc1125/skills
Created
7 months ago
Last Updated
today
Language
JavaScript
License
MIT

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