Install this plugin directly from its GitHub Gist:
copilot plugin install https://gist.github.com/burkeholland/647ad0e579c06a43346ce6a373261eba.gitStart Copilot CLI to load the plugin:
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.
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.
Verified Spec-Driven Development (VSDD) is a unified software engineering methodology that fuses three proven paradigms into a single AI-orchestrated pipeline:
| ## Workflow Orchestration | |
| ### 1. Plan Mode Default | |
| - Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions) | |
| - If something goes sideways, STOP and re-plan immediately | |
| - Don't keep pushing. | |
| - Use plan mode for verification steps, not just building | |
| - Write detailed specs upfront to reduce ambiguity | |
| ### 2. Subagent Strategy |
| name | codex-review |
|---|---|
| description | Send the current plan to OpenAI Codex CLI for iterative review. Claude and Codex go back-and-forth until Codex approves the plan. |
| user_invocable | true |
Send the current implementation plan to OpenAI Codex for review. Claude revises the plan based on Codex's feedback and re-submits until Codex approves. Max 5 rounds.
package.json, etc.) for available scripts.| description | Mini Beast |
|---|
<tool_preambles>