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Autonomous Multi-Agent Workflow for OpenCode

A fire-and-forget workflow that takes a Linear issue ID and autonomously plans, tests, implements, and opens a draft PR — with TDD baked in. You walk away; it notifies you when done.

Built for OpenCode using custom agents and slash commands.

Important: The /workflow command must run with agent: build (OpenCode's default agent with full tool access). The orchestrator needs unrestricted access to do git operations, dispatch subagents, and create PRs. If you're in a restricted mode, switch to build first.

Why this exists:

Fire and forget. Kick off a task and walk away. You get notified when it's done or needs attention.

Codex Reconnecting 1/5–5/5：v2rayN / Clash 代理配置解决方案

适用于 Codex Desktop、Codex CLI，以及由编辑器启动的 Codex 后端。

最后验证日期：2026-07-21

1. 问题概述

部分网络环境下，Codex 在新建会话并首次提问时会连续显示类似以下状态：

Resonance-A-Plague-Tale-Legacy-Trainer

Resonance: A Plague Tale Legacy Trainer 2026 for Windows with God Mode, Unlock All Codex Entries, Unlock All Chapters, Unlock Everything, Change Resonance Points, Resonance Points Editor, profiles, hotkeys, configs, and a clean desktop workflow.

Download

Download Resonance: A Plague Tale Legacy Trainer

Official Game Artwork

Resonance-A-Plague-Tale-Legacy-Trainer

Resonance: A Plague Tale Legacy Trainer 2026 for Windows with God Mode, Unlock All Codex Entries, Unlock All Chapters, Unlock Everything, Change Resonance Points, Resonance Points Editor, profiles, hotkeys, configs, and a clean desktop workflow.

Download

Download Resonance: A Plague Tale Legacy Trainer

Official Game Artwork

Using Gmail SMTP with Cloudflare Email Routing: Step-by-Step Guide

Learn how to send emails through Gmail SMTP with Cloudflare Email Routing in this comprehensive guide.

Step 1: Enable 2-Factor Authentication

To proceed with this method, ensure that you have enabled two-factor authentication for your Google account. If you haven't done so already, you can follow the link to set it up → Enable 2FA in your Google account.

Step 2: Create an App Password for Mail

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.

Delegation policy (read first)

The session model (Fable) is the orchestrator, not the worker. Fable is the most expensive tier; spend its tokens only on decomposition, judgment calls, synthesis, and talking to the user. Delegate everything else to subagents via the Agent tool, picking the cheapest model that can do the job well:

model: "opus" — the default worker tier. Anything requiring real judgment: implementation, debugging, architecture-aware exploration, adversarial review.
model: "sonnet" — cheap tier for mechanical or low-stakes work: running tests and reporting output, simple greps/lookups with a known target, rote refactors from an exact spec, formatting, screenshot capture, admin chores. If getting it slightly wrong is cheap to catch, use sonnet.
Exploration/research: never read broadly yourself. Spawn Explore agents (model: opus) with tightly scoped questions; consume their synthesized reports, not raw files. Trivial "find the file that defines X" lookups can go to sonnet.

SillyTavern

SillyTavern-Silly-Hug - https://github.com/kainatquaderee/Silly-Hug
SillyTavern-Cache-Refresh - https://github.com/OneinfinityN7/Cache-Refresh-SillyTavern
SillyTavern-FormatFixer - https://github.com/DAurielS/ST-FormatFixer
SillyTaven-Extension-DynamicLore - https://github.com/AugieIsHere/Extension-DynamicLore
- SillyTaven-Extension-DynamicLore - https://github.com/X00LA/Extension-DynamicLore (newer)
SillyTavern-WebSearch-Selenium - https://github.com/SillyTavern/SillyTavern-WebSearch-Selenium
SillyTavern-LALib - https://github.com/LenAnderson/SillyTavern-LALib
SillyTavern-Chub-Search - https://github.com/city-unit/SillyTavern-Chub-Search
SillyTavern-Extension-ZerxzLib - https://git.521000.best.translate.goog/ZerxZ/SillyTavern-Extension-ZerxzLib?_x_tr_sl=auto&_x_tr_tl=en&_x_tr_hl=de&_x_tr_pto=wapp

	import Foundation
	import AVFoundation

	@available(iOS 10.0, *)
	extension AVSpeechSynthesizer {
	func speakIPA(_ ipaString: String, voiceIdentifier: String, willSpeak: ((String) -> Void)? = nil) {
	//Set the audio session to playback to ignore mute switch on device
	do {
	try AVAudioSession.sharedInstance().setCategory(AVAudioSession.Category.playback, options: [.interruptSpokenAudioAndMixWithOthers, .duckOthers])
	} catch {