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This repository can get more leverage from GitHub without adding much process overhead.
# GitHub Playbook This repository can get more leverage from GitHub without adding much process overhead. ## Releases Recommended release shape: - tag a semantic version - publish binaries through the existing GitHub Actions workflow - keep a short manual changelog entry in `CHANGELOG.md` - use GitHub release notes for a concise "why it matters" summary Suggested release note structure: 1. What changed 2. Why it matters 3. How to try it ## Discussions Suggested categories to enable in the GitHub UI: - General - Ideas - Show and tell - Q&A Suggested starter discussion topics: - How are you using context-pack with coding agents? - What signals matter most in older or messy repositories? - Where does first-pass briefing still fail? ## Issues Use issues for actionable engineering work: - bugs in selection, ranking, or rendering - feature requests tied to a concrete workflow problem - measurable quality improvements Good issue examples: - Improve entrypoint detection in Python service repos - Measure token savings on large unfamiliar repositories - Add memory bootstrapping for learned repo notes ## Labels Recommended lightweight label set: - `bug` - `enhancement` - `documentation` - `briefing` - `heuristics` - `memory` - `workflow` - `breaking-change` ## Current Recommendation If only a few GitHub features get active attention, prioritize these: 1. Releases with clear notes 2. Discussions for workflow feedback 3. Issues tied to measurable product improvements
_Status: Work in progress_
1. [Overview](#overview)
You will need to decide where your entity should be located and how it will be structured. This is largely driven by tax considerations, but may also be driven by governance preferences.
This document aims to help you get started with profiling test suites and answers the following questions: which profiles to run first? How do we interpret the results to choose the next steps? Etc.