cms / order-7040779-checkout-report.md

Created April 24, 2026 20:45

Order 7040779 Checkout Investigation Report

Date: 2026-04-24
Investigator: Christian
Order ID: h4b-order-7040779
Customer Phone: +50495363424

Order Summary

cms / SKILL.md

Created February 11, 2026 07:04 — forked from kieranklaassen/SKILL.md

Claude Code Swarm Orchestration Skill - Complete guide to multi-agent coordination with TeammateTool, Task system, and all patterns

name	orchestrating-swarms
description	Master multi-agent orchestration using Claude Code's TeammateTool and Task system. Use when coordinating multiple agents, running parallel code reviews, creating pipeline workflows with dependencies, building self-organizing task queues, or any task benefiting from divide-and-conquer patterns.

Claude Code Swarm Orchestration

Master multi-agent orchestration using Claude Code's TeammateTool and Task system.

cms / HOW-IT-WORKS.md

Created February 11, 2026 06:57 — forked from avocade/HOW-IT-WORKS.md

Tracked my @claudeai code swarm with an "observer" agent (3 agents + leader) & had it snapshot the on-disk state in `.claude/teams` and `tasks` at intervals.

How Claude Code Team Coordination Works

Observed by: observer agent Date: 2026-02-09 Team: moltbook-tui (1 lead + 4 agents, observed over ~10 minutes of activity) Snapshots taken: 7 (see snapshot-1.md through snapshot-7.md for raw data)

Architecture Overview

Claude Code teams use a filesystem-based coordination system. There are no sockets, databases, or message queues - everything is stored as JSON files on disk. Agents coordinate through:

cms / 0-index.md

Last active February 7, 2026 05:50

N1CO Developer Individual Drilldown Reports - Detailed analysis for each team member

Developer Productivity Reports - Index

Organization: N1CO Finance Development Team
Report Date: February 7, 2026
Repositories Analyzed:

n1co-finance-backend
n1co-app-gateway

cms / developer-productivity-report.md

Last active February 7, 2026 05:43

Developer Productivity & Code Quality Report - h4b-dev repos (Oct 2025 - Feb 2026)

Developer Productivity & Code Quality Report

h4b-dev/n1co-finance-backend & h4b-dev/n1co-app-gateway

Report Period: October 1, 2025 - February 7, 2026
Generated: 2026-02-07
Total PRs Analyzed: 163 (Backend: 100, Gateway: 63)

cms / 2026-02-04.md

Last active February 5, 2026 01:48

Brain dump - Feb 4, 2026 | GCP investigation, data architecture meetings

2026-02-04 — Memory Log

Summary

Day split between infrastructure lookups and a deep GCP cross-project data access investigation. Located ArgoCD configs and traced how hugofun-prod data flows into BI/analytics projects.

Completed

GCP Cross-Project Data Access Investigation

Status: ✅ Root cause identified (Dataset-Level ACLs)

cms / detailed_diagram.mmd

Created January 24, 2026 02:41

Detailed Twilio Voice Call Diagram with Transcription Models

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cms / diagram.mmd

Created January 24, 2026 02:38

Twilio Voice Call Diagram

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cms / CLAUDE.md

Created January 3, 2026 00:01 — forked from minimaxir/CLAUDE.md

Python CLAUDE.md (20260101)

Agent Guidelines for Python Code Quality

This document provides guidelines for maintaining high-quality Python code. These rules MUST be followed by all AI coding agents and contributors.

Your Core Principles

All code you write MUST be fully optimized.

"Fully optimized" includes:

cms / explore-plan-code-test.md

Created July 13, 2025 06:30 — forked from sergeyk/explore-plan-code-test.md

Explore - Plan - Code - Test Workflow

At the end of this message, I will ask you to do something. Please follow the "Explore, Plan, Code, Test" workflow when you start.

Explore

First, use parallel subagents to find and read all files that may be useful for implementing the ticket, either as examples or as edit targets. The subagents should return relevant file paths, and any other info that may be useful.

Plan

Next, think hard and write up a detailed implementation plan. Don't forget to include tests, lookbook components, and documentation. Use your judgement as to what is necessary, given the standards of this repo.

If there are things you are not sure about, use parallel subagents to do some web research. They should only return useful information, no noise.

Christian C. Salvadó cms