recall
Query the memory system for relevant learnings from past sessions
它会碰到什么
扫了多少1 个文本文件，1 KB
它会碰到什么不碰外部（只输出文字）
命中总数0 处
命中统计严重 0 · 高 0 · 中 0 · 低 0
这一栏是扫描器报的事实，不是结论。命中多不等于有毒（安全工具、规则库、示例脚本本来就会包含危险写法），命中少也不等于干净。它和你手上的凭据、文件、网络有什么关系，需要你自己看。
技能内容
Recall - Semantic Memory Retrieval
Query the memory system for relevant learnings from past sessions.
Usage
/recall <query>Examples
/recall hook development patterns
/recall wizard installation
/recall TypeScript errorsWhat It Does
- Runs semantic search against stored learnings (PostgreSQL + BGE embeddings)
- Returns top 5 results with full content
- Shows learning type, confidence, and session context
Execution
When this skill is invoked, run:
cd $CLAUDE_OPC_DIR && PYTHONPATH=. uv run python scripts/core/recall_learnings.py --query "<ARGS>" --k 5Where <ARGS> is the query provided by the user.
Output Format
Present results as:
## Memory Recall: "<query>"
### 1. [TYPE] (confidence: high, id: abc123)
<full content>
### 2. [TYPE] (confidence: medium, id: def456)
<full content>Options
The user can specify options after the query:
--k N- Return N results (default: 5)--vector-only- Use pure vector search (higher precision)--text-only- Use text search only (faster)
Example: /recall hook patterns --k 10 --vector-only
想直接用这个技能？
本站把开放许可（MIT / Apache 等）的技能按仓库打包整理到网盘，点一下转存到你自己的网盘，不用一个个从 GitHub 拉。许可未声明的技能只给原始仓库链接，不打包。