remember

Solid

Use when the user says "remember", "audit knowledge", or wants to review and reorganize AGENTS.md memory for staleness, duplication, and misplacement

AI & Automation 1 stars 0 forks Updated yesterday MIT

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Quality Score: 80/100

Stars 20%
10
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

> **Manual-trigger skill.** `disable-model-invocation: true` keeps the model from > running memory audits automatically mid-task. When installed from this plugin, > invoke it deliberately as `/agent-docs:remember` when you want to clean > up. Do not add hooks, background tasks, auto-trigger behavior, runtime storage, > vector databases, MCP integration, or external memory systems. Review all `AGENTS.md` files across the project and produce a structured `Memory Health Report` using the workflow below. ## What this does This is the complement to `/agent-docs:learn`: - `/agent-docs:learn` proposes verified knowledge additions to `AGENTS.md` or `docs/` from the current session. - `/agent-docs:remember` audits existing `AGENTS.md` memory surfaces for staleness, duplication, misplacement, and low-signal content. Read and apply the shared [Knowledge Admission Policy](../../references/knowledge-admission.md). Do not invoke `learn`; both workflows independently apply the same policy in opposite directions. ## Step 1: Gather memory layers Read all project `AGENTS.md` files. Typical layers include: ```text AGENTS.md internal/<package>/AGENTS.md <other-package>/AGENTS.md ``` Audit project `AGENTS.md` files only. Exclude personal preference files such as `~/.claude/CLAUDE.md` or `~/.config/opencode/AGENTS.md`, every `CLAUDE.md`, and any non-project `AGENTS.md`. ## Step 2: Audit memory surfaces Audit every relevant `AGENTS.md` memory surface, not only `## Hidden Knowledge`. ...

Details

Author
gzb1128
Repository
gzb1128/skill-forge
Created
2 months ago
Last Updated
yesterday
Language
Python
License
MIT

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