Skills for Real Engineers. Straight from my .agents directory.
39 skills
carrel-search
Agent skill from
Query the user's local knowledge bases through the Carrel search API, use original text and source images as needed in the answer, list the reference files and offer follow-up directions drawn from the knowledge graph. Use when the user asks to search the knowledge base, find evidence in the stored material, compare records, or answer from several documents together.
How to install carrel-search
install carrel-search
# install the carrel pack with the skills CLI
npx skills add FengZhenfei/carrel# or add only this skill to Claude Code: copy the folder
skills/carrel-search/
# into
~/.claude/skills/carrel-search/ (all projects)
.claude/skills/carrel-search/ (one project)
1# Carrel-Search23Evidence is retrieved through Carrel's search service (`app/kb_search`, default port 9810); the agent invoking this skill understands the question, composes the answer, lists the reference files and turns the graph leads into directions the user can ask about next. The service only recalls, reranks and arranges evidence and does no generation. The display name is **Carrel-Search** and the invocation name is `$carrel-search`.45## Invocation67The client is `scripts/carrel_search.py` in this directory (Python 3.9+, standard library only). It defaults to `http://127.0.0.1:9810`; when the service runs on another machine, set the address and token through environment variables or a config file as described in [API and configuration](references/api.md). The skill contains no real token; never read or print one. `SKILL_DIR` stands for the directory containing this `SKILL.md`; replace it with the actual absolute path when executing.89```bash10python3 "$SKILL_DIR/scripts/carrel_search.py" search --question "<the user's question>"11```12…
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