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name: limitless_lifelogs description: Search, summarize, and extract insights from your Limitless AI pendant life logs. Supports keyword and semantic search, date range queries, memory recall, and action item extraction for named agents. user-invocable: true metadata: {"openclaw":{"emoji":"🎙️","primaryEnv":"LIMITLESS_API_KEY","requires":{"bins":["curl","jq"],"env":["LIMITLESS_API_KEY"]}}}

Limitless Life Logs Skill

You have access to the user's Limitless AI pendant recordings via the Limitless REST API. Use the tools below to retrieve, search, and analyze life log transcriptions.

Configuration

Read these values from the environment before any API call:

If LIMITLESS_API_KEY is not set, stop and tell the user:

"Please set your API key first: export LIMITLESS_API_KEY=your_key_here"

If LIMITLESS_TIMEZONE is not set, proceed with UTC and note it in your response.

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API Reference

Base URL: https://api.limitless.ai Auth header: X-API-Key: $LIMITLESS_API_KEY This skill is READ-ONLY — never call DELETE endpoints.

List / Search Lifelogs

curl -s -H "X-API-Key: $LIMITLESS_API_KEY" \
  "https://api.limitless.ai/v1/lifelogs?timezone=$LIMITLESS_TIMEZONE&PARAMS"

Query parameters (append as &key=value):

Get a Specific Lifelog

curl -s -H "X-API-Key: $LIMITLESS_API_KEY" \
  "https://api.limitless.ai/v1/lifelogs/LOG_ID"

Paginate

If the response includes "nextCursor" in the meta object, fetch the next page by appending &cursor=NEXT_CURSOR to the same request. Continue until nextCursor is null or you have enough data.

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Capabilities

1. Search by Topic or Keyword

Trigger phrases: "search my logs for...", "find mentions of...", "did anyone say..."

1. Extract the search term from the user's message.
2. Call the lifelogs endpoint with q=<term> and limit=10.
3. Present results as a numbered list: timestamp, a short excerpt, and the log ID.
4. Offer to fetch more pages or open a specific log.

2. Summarize Recent Activity

Trigger phrases: "what happened today", "summarize this week", "recap yesterday"

1. Determine the date or range from the user's intent.
   • "today" → date=<today's date>
   • "this week" → start=<Monday>&end=<today>
   • "yesterday" → date=<yesterday>
2. Fetch up to 50 logs for the range (paginate if needed).
3. Synthesize a structured summary:
   • Key topics and conversations
   • Decisions made
   • People mentioned
   • Notable moments

3. Memory Recall

Trigger phrases: "what did we decide about...", "who mentioned...", "remind me about..."

1. Identify the topic or entity from the user's question.
2. Search with q=<topic>, fetching enough results to answer.
3. Synthesize a direct answer citing the relevant log entries (include date and time).

4. Browse by Date / Time Range

Trigger phrases: "show me logs from...", "what was recorded on...", "logs between X and Y"

1. Parse the date or range from the user's message.
2. Fetch logs with date= or start=/end=.
3. Present a chronological list with titles, timestamps, and brief summaries.

5. Action Item Extraction

Trigger phrases: "extract tasks", "what did I ask [agent] to do", "find action items for...", or automatically after fetching logs when the user asks for a recap.

Agent Roster

Load the configured agents from the roster file and extract the list of known agent names:

cat ~/.openclaw/workspace/skills/limitless/agents.json | jq '[.agents[].name]'

Use these names as the detection vocabulary. Never hardcode agent names in logic — always derive them from agents.json at runtime.

Detection Rules

Scan the lifelog transcription text for directives to any agent in the roster. An action item is present when:

• A known agent name (from the roster) appears as a direct address at the start of a phrase or sentence
  • Examples: "<AgentName>, send...", "Hey <AgentName> can you...", "@<AgentName> please...", "<AgentName> — I need you to..."
• A task verb follows: send, schedule, remind, book, find, create, draft, write, check, follow up, research, compile, etc.
• The phrase contains a clear deliverable or target

Extraction Format

For each detected action item, output:

Agent:    <agent name>
Trigger:  "<exact quote from transcript>"
Task:     <one-sentence plain-English summary of what was asked>
From log: <log ID> — <timestamp>

Dispatch Prompt

After presenting each extracted action item, ask the user:

"Should I dispatch this task to [Agent Name]?"

If the user says yes, read the agent's dispatch config from agents.json and use the appropriate method:

• webhook: POST to dispatch.url with JSON body:

  {
    "agent": "<name>",
    "task": "<task summary>",
    "source_quote": "<exact quote>",
    "log_id": "<log ID>",
    "timestamp": "<ISO timestamp>"
  }
  

  curl -s -X POST -H "Content-Type: application/json" \
    -d '{"agent":"NAME","task":"TASK","source_quote":"QUOTE","log_id":"ID","timestamp":"TS"}' \
    "DISPATCH_URL"
  

• email: Inform the user what the email should contain and ask them to send it, or use the system mail command if available:

  echo "Task for AGENT_NAME:\nTASK_SUMMARY\n\nSource: QUOTE\nLog: LOG_ID" | \
    mail -s "Task from Limitless" AGENT_EMAIL
  

If the agent name is not in the roster, flag it:

"I found a task directed at '[Name]' but they're not in your agents.json roster. Add them to ~/.openclaw/workspace/skills/limitless/agents.json to enable dispatch."

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Error Handling