Agent Skills
› winstonkoh87/Athena-Public
› semantic-search
semantic-search
GitHub调用 Exocortex RAG 系统执行精确语义搜索,通过封装 smart_search.py 检索内部知识库。支持触发查询、限制返回数量并综合结果摘要,适用于查找协议、案例研究等精准知识获取场景。
Trigger Scenarios
search memory
find protocol
do we have a case study on
Install
npx skills add winstonkoh87/Athena-Public --skill semantic-search -g -y
SKILL.md
Frontmatter
{
"name": "semantic-search",
"model": "default",
"auto-invoke": false,
"description": "Executes exact Exocortex embeddings lookup for internal libraries. Wraps smart_search.py.",
"allowed-tools": [
"Bash"
],
"argument-hint": "find <query>",
"user-invocable": false,
"context_trigger": "search memory, find protocol, do we have, case study, recall, look up, exocortex, knowledge base"
}
The Exocortex Semantic Engine
A direct interface to the local RAG (Retrieval-Augmented Generation) system, wrapping smart_search.py for high-precision knowledge retrieval.
Triggers
"search memory", "find protocol", "do we have a case study on"
Core Mechanics
- Executes
python3 Athena-Public/examples/scripts/smart_search.py "<query>" --limit 5 - Synthesizes the results before pulling the full markdown files into the context window.
Reference Paths
.context/memories/protocols/coding/108-semantic-search-standards.md
Version History
- e624e2d Current 2026-07-19 08:47


