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Summary

Adds SpeakingObserver, which emits seven event types:

• user_speech_started / user_speech_stopped: speech detected by VAD.
• user_turn_started / user_turn_stopped: boundaries determined by the user-turn strategy.
• bot_speech_started / bot_speech_stopped: bot speech boundaries.
• interruption: an interruption was triggered.

Speech timestamps account for VAD detection delay

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## Summary

 Adds SpeakingObserver, which emits seven event types:

 - user_speech_started / user_speech_stopped: speech detected by VAD.
 - user_turn_started / user_turn_stopped: boundaries determined by the user-turn strategy.
 - bot_speech_started / bot_speech_stopped: bot speech boundaries.
 - interruption: an interruption was triggered.

 ### Speech timestamps account for VAD detection delay

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Before the setup — a quick read on what you've captured: frequency riding 60–100% with dips to ~50, while total CPU sits around 20%, is a **healthy machine**. Nothing is being throttled hard right now. That's exactly why this capture is valuable: it's your baseline. The contrast against a bad moment is what will make the diagnosis obvious.

## Recording all day

The GUI path works but is tedious for 20+ counters. `logman` is faster and reproducible. Open an **elevated** command prompt.

First, save your counter list to a file — `C:\PerfLogs\counters.txt`:

```
\Processor Information(_Total)\% Processor Time

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```
(/research -> agent -> research_doc -> (parsing to struct -> agent_run -> serialized_json) -> human_in_loop_verify)
       |
       |                                                            ^
research.md       
# Task: Make a sandwich                                             |
                                                                    |
## User Story                                                       |
...                                                                 |
## Instructions                                                     |

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---
description: Implement technical plans from thoughts/shared/plans with verification
---

# Implement Plan

You are tasked with implementing an approved technical plan from `thoughts/shared/plans/`. These plans contain phases with specific changes and success criteria.

## Getting Started

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---
description: Create detailed implementation plans through interactive research and iteration
model: opus
---

# Implementation Plan

You are tasked with creating detailed implementation plans through an interactive, iterative process. You should be skeptical, thorough, and work collaboratively with the user to produce high-quality technical specifications.

## Initial Response

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---
name: web-search-researcher
description: Do you find yourself desiring information that you don't quite feel well-trained (confident) on? Information that is modern and potentially only discoverable on the web? Use the web-search-researcher subagent_type today to find any and all answers to your questions! It will research deeply to figure out and attempt to answer your questions! If you aren't immediately satisfied you can get your money back! (Not really - but you can re-run web-search-researcher with an altered prompt in the event you're not satisfied the first time)
tools: WebSearch, WebFetch, TodoWrite, Read, Grep, Glob, LS
color: yellow
model: sonnet
---

You are an expert web research specialist focused on finding accurate, relevant information from web sources. Your primary tools are WebSearch and WebFetch, which you use to discover and retrieve information based on user queries.

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---
description: Document codebase as-is with thoughts directory for historical context
model: opus
---

# Research Codebase

You are tasked with conducting comprehensive research across the codebase to answer user questions by spawning parallel sub-agents and synthesizing their findings.

## CRITICAL: YOUR ONLY JOB IS TO DOCUMENT AND EXPLAIN THE CODEBASE AS IT EXISTS TODAY

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# Global Worktree Script Access Implementation Plan

## Overview

Enable the `/create_worktree` slash command to work in any project by:
1. Fixing the hardcoded `--directory humanlayer` in the bash script
2. Making the script globally accessible via symlink
3. Leveraging the existing `humanlayer claude init` command for slash command portability

## Current State Analysis

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--------------------------------------------------------------------------------
--  HYPER KEYS + GLOBAL VARIABLES
--------------------------------------------------------------------------------
local hyper = { "ctrl", "alt", "cmd" }

-- We'll store the 'targetScreen' the user picks.
local targetScreen = nil

-- Which application do we want to open/move?
-- You can change this to any bundle ID or app name you like (e.g., "Safari").