Limitless Life Logs for Openclaw

An AI-powered skill to search, summarize, and extract actionable tasks from your Limitless AI pendant recordings.

jeremytoce
v1.0.0
Feb 26, 2026
2
845
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install limitless-lifelogs

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install limitless-lifelogs using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Limitless Life Logs?

The Limitless Life Logs skill enables your AI agent to interface directly with recordings captured by your Limitless AI pendant. By connecting to the Limitless REST API, this addition to your Openclaw Skills collection provides a robust way to retrieve, search, and analyze voice-to-text transcriptions. It serves as a bridge between your physical environment and your digital workspace, allowing your agent to remember every detail of your day.

This skill is designed with a focus on data utility and security, operating as a read-only integration. It excels at turning hours of audio into structured summaries, identifying commitments made during meetings, and providing a searchable index of your personal history. It is an essential tool for users who want to leverage their real-world interactions within their automated development or productivity workflows.

Limitless Life Logs Use Cases

  • Search for specific mentions of topics or keywords across all your recorded life logs.
  • Generate structured summaries of your activity for today, yesterday, or a specific week.
  • Recall specific decisions made during past meetings by asking natural language questions.
  • Browse a chronological list of recordings for specific date ranges.
  • Automatically detect and extract action items mentioned in conversation to keep track of tasks.

How Limitless Life Logs Works

  1. The skill authenticates with the Limitless REST API using a secure API key stored in your environment variables.
  2. When a query is made, the agent determines whether to perform a semantic search, a date-specific lookup, or a summary request.
  3. The skill retrieves the relevant transcription data, handling pagination via cursors to ensure complete data sets are processed.
  4. For task extraction, the agent scans the transcript text against a predefined roster of agent names to identify direct requests.
  5. The processed information is then formatted into human-readable summaries or actionable data points, which can be dispatched to other services.

Limitless Life Logs Setup

To get started, ensure you have your API key from the Limitless Developer settings. You must also have curl and jq installed on your system. Set your environment variables as follows:

export LIMITLESS_API_KEY=your_api_key_here
export LIMITLESS_TIMEZONE=America/Los_Angeles

To enable the advanced agent dispatching features, create an agents.json file in your Openclaw Skills workspace directory at ~/.openclaw/workspace/skills/limitless/agents.json. This file should define the agents you want to detect and their respective dispatch webhooks or email addresses.

Limitless Life Logs Data Schema & Taxonomy

The skill organizes data retrieved from the API into structured objects for the agent to process. Below is the primary data structure for log entries:

Attribute Type Description
id String The unique identifier for the specific life log.
timestamp ISO-8601 The date and time when the log was recorded.
transcript String The raw text captured by the AI pendant.
markdown String A formatted version of the transcription for better readability.
nextCursor String A token used for paginating through large sets of log data.

Limitless Life Logs Advanced Features

  • Hybrid semantic and keyword search for high-precision retrieval of past conversations.
  • Automated action item detection using a configurable detection vocabulary based on a local agent roster.
  • Support for dispatching tasks via POST webhooks or system-level email commands.
  • Context-aware memory recall that cites specific log IDs and timestamps for verification.
  • Multi-agent support allowing for tasks to be assigned to different entities based on transcript mentions.

SKILL.md


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