Route natural language work-history queries to the work-historian agent for cited answers.
npx skills add https://github.com/brandtam/rubber-ducky --skill query-brandtam
Please help me install this Agent Skill. Skill: query Source: https://github.com/brandtam/rubber-ducky/tree/main/src/skills/query Command: npx skills add https://github.com/brandtam/rubber-ducky --skill query-brandtam
Enables natural language queries to extract work-history information by routing requests to the work-historian agent, delivering citation-backed answers.
Ask the agent a natural language question about your work history to receive a synthesized, cited answer.
High-intent search queries and answers about installing and using this skill.
To search work history using natural language, you ask a question about your past activities and the agent routes it to retrieve citation-backed answers from daily pages, task pages, project pages, and logs.
Yes, you can get citation-backed answers from activity logs and wiki logs. The agent retrieves comprehensive history across these sources, returning synthesized results with sources for traceability.
The best way to extract project history for a retrospective is querying the agent with natural language. It provides safe, read-only access to historical records, synthesizing cited answers from project pages and daily logs.
No, querying work-history with this agent does not modify your daily pages. It applies safe, read-only access to historical records across your pages and logs to support audits without altering original data.
You need to use a natural-language query for work history retrieval when you want to extract specific information from daily pages, task pages, project pages, activity logs, and wiki logs without manual searching.
Citations are important when searching work history because they provide sources for traceability. The agent returns a synthesized result with sources, ensuring you can verify the origin of the retrieved historical data.
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