Compiled by Artem Zhiganov (Harmonica) for Open Facilitation Library / Metagov
Building Harmonica has produced a long tail of questions that engineering decisions can't answer. What follows is a working list, organized by what kind of research is needed rather than by product component. The goal is to give researchers a clear view of where the builder's uncertainty is — both to shape a shared research agenda and to inform which questions most need external expertise.
This gist is meant to be copied into an AI coding agent — Pi, Claude Code, Cursor, etc. — together with a book URL or file. The agent should be able to build a useful book-powered MCP server, an AI-agent skill, or both.
It is not the Book Power source code and not a description of Book Power internals. It is a compact public build spec so other people can create compatible artifacts, publish them, and submit them to the catalog at bookpower.org.
A good book-powered artifact does not recreate the book. It makes the book's methods usable inside an AI workflow: frameworks, checklists, workflows, questions, examples, principles, warnings, and source-backed guidance.
Drop this into any LLM with shell access (Claude Code, Cursor, Codex, ChatGPT with code interpreter, etc.) and it will scan your machine for reclaimable disk space, report findings, let you pick what to delete, and execute the cleanup. Designed for macOS / Linux dev laptops; Windows paths in the appendix.
The goal: reclaim space without trashing anything you care about. Each category below is something the LLM can detect, measure, and propose — you decide what gets deleted.
df -h / (or the equivalent) and store the "before" free-space number..git, package.json, or a known config dir). This becomes the scan root for project-scoped categories.
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