write-agent-memory-system-review
SolidWrite or update a local code-grounded agent memory system review from a GitHub repository reference, including checkout refresh, optional sub-agent drafting, semantic QA, and validation.
Install
Quality Score: 88/100
Skill Content
Details
- Author
- zby
- Repository
- zby/commonplace
- Created
- 5 months ago
- Last Updated
- yesterday
- Language
- Python
- License
- CC-BY-4.0
Integrates with
Similar Skills
Semantically similar based on skill content — not just same category
managing-agent-memory
Decide PER PROJECT whether `.claude/agent-memory/**` is committed, remember that decision next to the memory it governs, and curate the notes before every commit that carries them. Use before committing when agent-memory files are dirty — git:ship, ticket-cycle, review runs, or any standalone commit.
skill-review
Use when reviewing Codex, Qoder, or repo-local skills and their prompt chains for trigger quality, workflow clarity, progressive disclosure, duplicated instructions, template ownership, output readability, validation gaps, or whether a skill should be edited.
code-review
Multi-agent code review with learning feedback loop — reviews PRs using parallel specialized agents (style, logic, security) with confidence scoring and false-positive reduction