Resolve calendar, task, and people queries across memory and journal sources.
npx skills add https://github.com/ajayjohn/tars-work-assistant --skill answer
Please help me install this Agent Skill. Skill: answer Source: https://github.com/ajayjohn/tars-work-assistant/tree/main/.claude-plugin/skills/answer Command: npx skills add https://github.com/ajayjohn/tars-work-assistant --skill answer
This skill accelerates fast, reliable retrieval of calendar, schedule, tasks, people, and organizational context, reducing the time spent on manual lookups and context gathering.
Ask for a quick lookup, for example, 'What is my schedule for today?'
High-intent search queries and answers about installing and using this skill.
To look up your calendar schedule, query the skill with phrases like 'What is my schedule for today?' or 'Am I free?' to retrieve fast factual results. It resolves dates to YYYY-MM-DD format and searches across configured memory and context providers.
Finding when you last met someone involves querying context sources with 'When did I last meet X?' to retrieve factual profile and meeting data. The skill applies an index-first search pattern to route queries across memory, journal, and configured legacy providers.
You can retrieve upcoming task owners and deadlines by asking the skill for task and initiative context. It leverages journal sources using an index-first pattern to provide decision support regarding related owners and deadlines.
You need configured MCP or legacy providers to search organizational context effectively. The skill interoperates with memory, tasks, journal, and contexts through these configured providers to retrieve knowledge and answer queries like 'What do I know about X?'.
The index-first search pattern works by routing queries across memory, journal, and context sources to provide fast factual lookups. It applies to questions involving calendar, schedule, tasks, people, and organizational context retrieval.
Limitations include dependency on configured MCP or legacy providers for context retrieval, meaning the skill cannot access schedule or memory data without prior provider setup. It focuses on fast factual lookups rather than complex analysis.
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