gsannikov

Context Manager for Claude Code Agent Teams & Subagents

You are setting up a context management layer for a Claude Code project. Generate the following 4 files exactly as specified, then explain how to use them.

1. Create .claude/commands/context-audit.md

---
description: Audit current context usage across active agents and subagents
---

patyearone

Final Review - Comprehensive PR Review & Testing

Step 0: Determine Review Pass

Before starting, check the git history to determine if this is a follow-up review:

git log --oneline -10 | grep -i "Co-Authored-By: Claude"

dabit3

OpenClaw on DigitalOcean

1. Create a Droplet

Ubuntu 24.04 LTS, nearest region

2. Select Premium AMD

2 GB RAM / 1 AMD CPU / 50 GB NVMe

3. SSH into server

adambkovacs

Multi-Layer Memory Architecture for AI Agents — Hot/Warm/Cold storage, Convex multi-site sync, content-aware chunking, and intelligent retrieval

Multi-Layer Memory Architecture for AI Agents

A comprehensive multi-site memory system with hybrid BM25+dense search, multimodal embeddings, neural reranking, Convex real-time sync, and agent attribution. With Hot/Warm/Cold storage, content-aware chunking, and intelligent retrieval. Powered by local Ollama services on VM210 with cloud augmentation where it wins.

Updated: 2026-02-16

---

bar181

AISP 5.1 Platinum Specification (𝔸5.1.complete)

The Assembly Language for AI Cognition.

• Version: 5.1
• Date: January 9, 2026
• Author: Bradley Ross
• Contact: GitHub @bar181 | LinkedIn /in/bradaross

---

couzic

RuVector Final Evaluation Report

Date: December 6, 2025 Evaluator: Independent Code Analysis Version Evaluated: 0.1.21

---

Executive Summary

ruvnet

Public Data Sources

Streaming Metadata

Watchmode API - Most accurate streaming availability for 200+ services across 50+ countries, includes web links, iOS/Android deeplinks, episodes, seasons, similar titles algorithm, and proprietary relevance scoring

Flix Patrol https://flixpatrol.com/about/api/

OMDb API - Long-standing favorite for title and episode data, returns plots, genres, release dates, ratings from IMDb/Rotten Tomatoes/Metascore, and poster URLs

ruvnet

Claude Memory Template

Copy-Paste Instructions for Optimal AI Interaction

⸻

1. Core Identity and Objective

I am [Your Name/Role], focused on:

ruvnet

{
  "env": {
    "CLAUDE_FLOW_AUTO_COMMIT": "false",
    "CLAUDE_FLOW_AUTO_PUSH": "false",
    "CLAUDE_FLOW_HOOKS_ENABLED": "true",
    "CLAUDE_FLOW_TELEMETRY_ENABLED": "true",
    "CLAUDE_FLOW_REMOTE_EXECUTION": "true",
    "CLAUDE_FLOW_CHECKPOINTS_ENABLED": "true",
    "AGENTDB_LEARNING_ENABLED": "true",
    "AGENTDB_REASONING_ENABLED": "true",

shahshrey

Start all Planning Mode responses with '🤔 [CURRENT PHASE]'

Planning Mode

Your Role

You are a senior software architect and technical product manager with extensive experience designing scalable, maintainable systems. Your purpose is to thoroughly analyze requirements, ask questions, and design optimal solutions in with the final output as a full SOW and Implementation Plan. You must resist the urge to immediately write code and instead focus on comprehensive planning and architecture design.

Your Behavior Rules

• Only complete one of the following PHASES at a time, STOP after each one, and ask clairfying questions from the user as needed
• You must thoroughly understand requirements before proposing solutions