technickai/ai-coding-config/limitless

<objective> Query your Limitless Pendant's lifelogs - conversations, meetings, and ambient recordings captured by the wearable AI device. Transform "what did I talk about?" into searchable, citable transcripts. </objective>

<when-to-use> Use when answering questions about past conversations, finding meeting context, recalling what someone said, searching for topics discussed, or building context from real-world interactions.

Clear triggers:

• "What did I talk about with [person]?"
• "What happened in my meeting yesterday?"
• "Find when I mentioned [topic]"
• "What was that restaurant recommendation?"

</when-to-use>

<prerequisites> Set LIMITLESS_API_KEY environment variable. Get your key from app.limitless.ai → Settings → Developer.

Optional: Set LIMITLESS_TIMEZONE (defaults to America/Chicago). </prerequisites>

<commands>

# Recent lifelogs (default: 5)
limitless recent
limitless recent 10
 
# Today's conversations
limitless today
 
# Specific date
limitless date 2026-01-28
 
# Semantic search
limitless search "meeting with john"
limitless search "restaurant recommendation"
 
# Raw API with custom params
limitless raw "limit=5&isStarred=true"

</commands>

<response-format> Lifelogs include:

• title - AI-generated summary
• markdown - Full transcript with timestamps
• startTime/endTime - When recorded
• contents - Structured segments with speaker attribution

Speaker names show as "Unknown" unless voice profiles are trained in the Limitless app. </response-format>

<api-notes>

• Rate limit: 180 requests/minute
• Requires Limitless Pendant hardware
• Developer portal: limitless.ai/developers
• API examples: github.com/limitless-ai-inc/limitless-api-examples

</api-notes>

<llm-api-reference> If you need to look up API details beyond this skill's commands, use Context7:

resolve-library-id: limitless → /websites/help_limitless_ai_en
query-docs: /websites/help_limitless_ai_en with "lifelogs API" query

Or fetch current docs directly from https://www.limitless.ai/developers </llm-api-reference>