slm-recall
仓库创建 2026年2月5日最近提交 1 天前SkillHot 收录 3 小时前
▸ 精选理由
应当作为写入前的先行检索，防止重复与提供上下文。
这个 Skill 做什么
对 SuperLocalMemory 的事实与决策进行多通道语义检索和重排序。
从 SuperLocalMemory 里做多通道语义检索并重排，把事实、决策和历史上下文找回来，回答“我们之前对 X 怎么决定/说过啥”的问题。需要回忆历史决策、核对过去信息或查找老记录时用。遵循“先 recall 再记忆”的规则，能把模糊自然语言请求映射到最相关的记忆条目。
▸ 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/codex-plugin/skills/slm-recall/SKILL.md或 curl 直取 SKILL.md
curl -fsSL "https://raw.githubusercontent.com/qualixar/superlocalmemory/main/codex-plugin/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