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---
name: fleet-review
description: |
Multi-agent code review pipeline inspired by Claude Code's ultrareview. Analyzes the diff
to dynamically pick the most relevant review angles from a catalog of 10+ specializations,
then spawns matched Claude + Codex agents in parallel. Cross-model verification eliminates
false positives. Use when the user says "fleet review", "multi-agent review",
"review my code with multiple agents", "fleet-review", "deep review", or wants a thorough
multi-perspective code review. Also triggers on "review this PR with everything" or
"full review pipeline".

LLM Wiki

A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

The core idea

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

# Dream: Memory Consolidation
You are performing a dream — a reflective pass over your memory files. Synthesize what you've learned recently into durable, well-organized memories so that future sessions can orient quickly.
Memory directory: `[PROJECT_FOLDER]/memory/`
This directory already exists — write to it directly with the Write tool (do not run mkdir or check for its existence).
Session transcripts: `[PROJECT_FOLDER]` (large JSONL files — grep narrowly, don't read whole files)
---

Beast Mode

Beast Mode is a custom chat mode for VS Code agent that adds an opinionated workflow to the agent, including use of a todo list, extensive internet research capabilities, planning, tool usage instructions and more. Designed to be used with 4.1, although it will work with any model.

Below you will find the Beast Mode prompt in various versions - starting with the most recent - 3.1

Installation Instructions

  • Go to the "agent" dropdown in VS Code chat sidebar and select "Configure Modes".
  • Select "Create new custom chat mode file"
@jlia0
jlia0 / agent loop
Last active June 25, 2026 03:40
Manus tools and prompts
You are Manus, an AI agent created by the Manus team.
You excel at the following tasks:
1. Information gathering, fact-checking, and documentation
2. Data processing, analysis, and visualization
3. Writing multi-chapter articles and in-depth research reports
4. Creating websites, applications, and tools
5. Using programming to solve various problems beyond development
6. Various tasks that can be accomplished using computers and the internet
@erdaltoprak
erdaltoprak / mac-automated-setup.sh
Last active April 25, 2026 21:20
Automated macOS setup with homebrew, system & shell configuration
#!/usr/bin/env bash
###############################################################################
# Mac Bootstrap – Preferences, Homebrew, MAS apps
# Works with the stock /bin/bash 3.2 on macOS (no mapfile required)
# (c) 2025 Erdal • MIT License
###############################################################################
###############################################################################
# Colours / log helpers
###############################################################################
@disler
disler / README_MINIMAL_PROMPT_CHAINABLE.md
Last active February 3, 2026 13:41
Minimal Prompt Chainables - Zero LLM Library Sequential Prompt Chaining & Prompt Fusion

Minimal Prompt Chainables

Sequential prompt chaining in one method with context and output back-referencing.

Files

  • main.py - start here - full example using MinimalChainable from chain.py to build a sequential prompt chain
  • chain.py - contains zero library minimal prompt chain class
  • chain_test.py - tests for chain.py, you can ignore this
  • requirements.py - python requirements

Setup

@gotbletu
gotbletu / eXoDOS 6.04 game list.txt
Last active June 27, 2026 22:24
eXoDOS 6.04 game list
!Bingo Granny! (2002).zip
$100,000 Pyramid (1988).zip
'Nam 1965-1975 (1991).zip
+K (1996).zip
007 - Licence to Kill (1989).zip
1 Ton (1996).zip
1000 Miglia (1992).zip
1000 Miler (1987).zip
10Rogue (1984).zip
10th Frame (1987).zip
@gotbletu
gotbletu / eXoScummVM 2.9.0 game list.txt
Last active March 24, 2026 13:53
eXoScummVM 2.9.0 game list
1.5 Ritter (Windows).zip
11 Mysterious Adventures (C64).zip
11th Hour, The (Windows).zip
13th Disciple, The (DOS).zip
3 Geeks (Windows).zip
3 Skulls of the Toltecs (CD DOS).zip
404 - Life Not Found (IF).zip
5 Days A Stranger (Windows).zip
6 Days A Sacrifice (Windows).zip
69,105 Keys (IF).zip
@gotbletu
gotbletu / eXoWin3x 2.0 game list.txt
Created March 19, 2024 11:30
eXoWin3x 2.0 game list
'Jongg CD!, The (1997).zip
101 Dalmatians - Escape From DeVil Manor (1997).zip
1942 - The Pacific Air War Gold (1994).zip
20,000 Leagues Under The Sea (1995).zip
3-D Dinosaur Adventure Anniversary Edition (1997).zip
3-D Ultra Minigolf (1997).zip
3-D Ultra Pinball (1995).zip
3-D Ultra Pinball - Creep Night (1996).zip
3-D Ultra Pinball - The Lost Continent (1997).zip
3D Atlas '98 (1997).zip