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.
Best use case
aiclilistener is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using aiclilistener should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/aiclilistener/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How aiclilistener Compares
| Feature / Agent | aiclilistener | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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 errorsRelated Skills
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