Agent Skill

DeLive provides an Agent Skill definition at skills/delive-transcript-analyzer/SKILL.md that gives AI agents structured guidance on how to use DeLive's capabilities.

What is an Agent Skill?

An Agent Skill is a SKILL.md file that describes a tool's capabilities, setup requirements, available actions, and recommended workflow patterns. AI agents (Claude Code, Cursor, etc.) can read this file to understand how to interact with DeLive.

Workflow Patterns

The skill defines five recommended workflow patterns:

Pattern 1: Meeting Summary → Email Draft

1. search_transcripts("weekly standup")
2. get_session("<id>")
3. Use the transcript and AI summary to draft a follow-up email

Pattern 2: Lecture Notes → Study Guide

1. search_transcripts("machine learning lecture")
2. get_session_transcript("<id>")
3. Extract key concepts, create flashcards, or generate a study guide

Pattern 3: Code Discussion → Implementation

1. search_transcripts("refactor database layer")
2. get_session("<id>")
3. Extract technical decisions and action items
4. Generate implementation code

Pattern 4: Multi-Session Analysis

1. search_transcripts("project alpha")
2. Retrieve summaries for each match
3. Synthesize a cross-session report

Pattern 5: Real-Time Monitoring

Connect to the WebSocket for live transcript access:

import asyncio, websockets, json

async def monitor():
    async with websockets.connect("ws://localhost:23456/ws/live") as ws:
        async for message in ws:
            data = json.loads(message)
            if data["type"] == "transcript":
                print(data["stableText"])

asyncio.run(monitor())

Location

skills/delive-transcript-analyzer/SKILL.md

The file uses YAML frontmatter with name and description fields, followed by Markdown-formatted instructions, tool references, and examples.