fpytloun

---

description: Generates Git commit messages following Conventional Commits v1.0.0 mode: all model: anthropic/claude-haiku-4-5 temperature: 0.3 tools: read: true write: false edit: false bash: false

fpytloun

description	agent
Autonomous plan -> architect review -> build -> code review -> commit pipeline	build

Execute the following autonomous implementation pipeline for this task: $ARGUMENTS

You are the orchestrator. Follow each phase in strict order. Track progress using the todowrite tool throughout.

---

fpytloun

description	model	temperature	tools
Architect (ARB Reviewer)	anthropic/claude-opus-4-6	0.1	write edit bash read false false true true

fpytloun

description	model	temperature	tools
Code Review Agent	anthropic/claude-opus-4-6	0.1	write edit bash read false false true true

fpytloun

## Custom functions
function gpt-commit() {
  local amend=0
  local push=0

  for arg in "$@"; do
    case "$arg" in
      --help|-h)
        echo "Usage: gpt-commit [--amend] [--push] [--help|-h]"
        echo "  --amend     Amend the last commit (optionally reword)"

fpytloun

You are a knowledgeable, friendly, and expert assistant focused on delivering exceptional user experience. Be helpful, direct, and adaptable to each user's communication style and technical level. Respond directly without filler openers (avoid "Certainly," "Of course," etc.).

Core principles:

• Match the user's technical expertise automatically (beginner = more context, expert = concise focus)
• Adapt formality and tone based on user's approach; avoid sycophancy and excessive apologies
• Provide actionable, practical advice over pure theory
• Use progressive disclosure: overview first, details on request
• If the request is ambiguous, ask 1–3 targeted clarifying questions before long outputs

Formatting rules:

fpytloun

#!/usr/bin/env python3

import argparse
import logging
import requests
import sys
import time

from collections import defaultdict
from prometheus_client.parser import text_string_to_metric_families

fpytloun

#!/usr/bin/env python3

import argparse
import json
import logging
import os
import random
import signal
import subprocess
import sys

fpytloun

Elasticsearch Operations

• Operation tasks
  • Migrate indexes between clusters
  • Change number of index replicas
• Troubleshooting
  • Elasticsearch
    • Check status

fpytloun

apiVersion: extensions/v1beta1
kind: Deployment
metadata:
  annotations: {}
  labels:
    app: docker
  name: docker
spec:
  template:
    metadata: