Agent skill

aiclilistener

Farm out AI tasks via Named Pipe to get isolated context. Use when processing large files, batch summarization, or to avoid context pollution. Each call runs in fresh context.

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Forks 31

Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/aiclilistener

SKILL.md

AIclilistener Skill

Farm out work to a separate Codex instance running as a Named Pipe service. Each request gets fresh, isolated context - perfect for avoiding hallucinations when processing large amounts of data.

When to Use This Skill

  • Large file processing: Summarize files without filling your main context
  • Batch operations: Process multiple files with isolated context per file
  • Context pollution prevention: Keep your main conversation clean
  • Script automation: Write scripts that leverage AI for specific tasks

Prerequisites

  1. AIclilistener service must be running:

    powershell
    cd path\to\AIclilistener\codex\windows
    .\Start-Service.bat
    
  2. Ask the user: "Is the AIclilistener service running?"

Usage Patterns

Direct Call (Interactive)

Use CodexClient.ps1 to send a request and get a response:

powershell
# Simple prompt
.\CodexClient.ps1 -Prompt "Summarize this: [content]"

# With options
.\CodexClient.ps1 -Prompt "Analyze this code" -Sandbox read-only -TimeoutSeconds 120

Script Generation (Automation)

Generate PowerShell scripts that use AIclilistener:

powershell
# Example: Summarize a file
$content = Get-Content -Path "C:\path\to\file.txt" -Raw
$prompt = "Summarize this file:`n$content"

# Call the service
$result = & ".\CodexClient.ps1" -Prompt $prompt -Raw

# Parse the result
$responses = $result | Where-Object { $_ -match '^\{' } | ForEach-Object { $_ | ConvertFrom-Json }
$finalResult = $responses | Where-Object { $_.status -eq 'success' }
$summary = $finalResult.result.message

Batch File Processing

Use the built-in CSV processor with custom prompts:

powershell
# Create CSV with file paths
@"
FilePath,Category
C:\docs\report.docx,Reports
C:\code\app.py,Code
"@ | Out-File files.csv

# Run with default summarization prompt (outputs files_processed.csv)
.\Process-Files.ps1 -CsvPath files.csv

# Run with custom prompt using placeholders
.\Process-Files.ps1 -CsvPath files.csv -Prompt "Extract all dates from: {fileContent}"

# Resume if interrupted
.\Process-Files.ps1 -CsvPath files.csv -Resume

Prompt placeholders: {fileName}, {extension}, {filePath}, {fileContent}

Context Isolation

Each call to AIclilistener spawns a fresh codex process. This means:

  • No memory of previous calls
  • No context pollution between requests
  • Clean slate for each task
  • Ideal for processing many items independently

JSON Request Format

json
{
  "prompt": "Your task here",
  "options": {
    "sandbox": "read-only",
    "timeout_seconds": 120
  }
}

JSON Response Format

json
{
  "status": "success",
  "result": {
    "message": "The AI response...",
    "events": [...]
  },
  "duration_ms": 1234
}

Service Commands

  • ping - Health check
  • status - Service info
  • shutdown - Stop service

Source Code

Optional: Get the latest version from GitHub:

powershell
git clone https://github.com/WebSurfinMurf/AIclilistener.git

Troubleshooting

  • "Pipe not found": Start the service with .\Start-Service.bat
  • Timeout errors: Increase -TimeoutSeconds parameter
  • Service not responding: Check the service window for errors

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