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
核心记忆检索能力，能避免重复存储并提高跨会话一致性。
▸ 风险提示
需访问本地记忆存储及相应权限
这个 Skill 做什么
从 SuperLocalMemory 进行多通道语义检索，找回事实、决策与过去上下文。
从 SuperLocalMemory 检索事实、决策和过去的上下文，回答“我们之前怎么决定/说过 X”之类的问题。用在要找回历史结论、核对已决定的事项或补充上下文时。采用多通道语义检索并重排序，检索是写入新记忆前的必做步骤，以免重复或丢失关键信息。
▸ 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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仓库内 Skill
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安装 / 使用
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帮我安装这个 skill：https://raw.githubusercontent.com/qualixar/superlocalmemory/main/plugin/skills/slm-recall/SKILL.md或 curl 直取 SKILL.md
curl -fsSL "https://raw.githubusercontent.com/qualixar/superlocalmemory/main/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