slm-recall
仓库创建 2026年2月5日最近提交 1 天前SkillHot 收录 6 小时前
▸ 精选理由
适合在会话中查找历史决定或事实，避免重复查询。
▸ 风险提示
检索可能暴露敏感持久化数据，注意权限与同意。
这个 Skill 做什么
从 SuperLocalMemory 中语义检索并返回事实、决策与上下文。
从 SuperLocalMemory 里语义检索历史事实、决策和上下文，回答“我们对 X 是怎么决定的？”之类的问题。用的是多通道检索并做重排序，能把相关记忆和上下文串出来；在任何写入前都应先调用以避免重复存储。适合查找项目约定、过去讨论结论或会话摘要。
▸ 展开 SKILL.md 英文原文
Search and retrieve facts, decisions, and past context from SuperLocalMemory. Use when the user asks to recall, find, search, or "what did we decide/say about X". Triggers multi-channel semantic retrieval with reranking; always call before storing anything new.
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安装 / 使用
给你的 Agent 一句话（通用）
帮我安装这个 skill：https://raw.githubusercontent.com/qualixar/superlocalmemory/main/plugin-src/skills/slm-recall/SKILL.md或 curl 直取 SKILL.md
curl -fsSL "https://raw.githubusercontent.com/qualixar/superlocalmemory/main/plugin-src/skills/slm-recall/SKILL.md"SKILL.MD 节选查看完整文件 ↗
# slm-recall — Search & Retrieve Memory
Retrieve stored facts, decisions, and past context from SuperLocalMemory using
multi-channel retrieval. The golden rule: **recall before you remember**.
---
## When to use recall vs search vs fetch vs list_recent
| Situation | Tool |
|-----------|------|
| Conceptual or paraphrase query ("what did we agree on for auth?") | `recall` — full multi-channel retrieval + rerank |
| Exact keyword match needed ("find facts containing BM25") | `search` — FTS5 BM25 only, lower latency |
| You have a specific `fact_id` from a prior result | `fetch` — exact lookup, full detail |
| Browse newest entries without a query | `list_recent` |
Use `recall` as the defavia SKILL·HOT · 数据来自 GitHub 公开信息 · 原文版权归作者所有