plugins/core/skills/limitless/SKILL.md
Use when recalling conversations from Limitless Pendant, finding what was discussed in meetings, searching lifelogs, or answering 'what did I say about' questions
npx skillsauth add technickai/ai-coding-config limitlessInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Clear triggers:
Optional: Set LIMITLESS_TIMEZONE (defaults to America/Chicago).
</prerequisites>
limitless today
limitless date 2026-01-28
limitless search "meeting with john" limitless search "restaurant recommendation"
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](https://www.limitless.ai/developers)
- API examples: [github.com/limitless-ai-inc/limitless-api-examples](https://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>
research
Use when analyzing YouTube videos, extracting insights from tutorials, researching video content, or learning from talks and presentations
tools
Use when writing prompts, agent instructions, SKILL.md, commands, system prompts, Task tool prompts, prompt engineering, or LLM-to-LLM content
development
Use when writing, reviewing, or refactoring React or Next.js code, optimizing React performance, fixing re-render issues, reducing bundle size, eliminating waterfalls, or improving data fetching patterns
development
Use when debugging bugs, test failures, unexpected behavior, or needing to find root cause before fixing