Fix release for 1.1.2: the 14 longest skills keep their later phases after a compaction, a question nobody answered is never taken as an answer, settings read the same from a subfolder, the commit check works for a project in a subfolder of a larger repository, every skill opens with a title, and the shipped allow rules no longer approve deleting a branch or writing files without asking. Details in CHANGELOG.md; upgrade steps in UPGRADING.md (v1.1.2 → v1.1.3). Refs #83 Refs #133 Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_0185en4t76fPn7315q4c3nko
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/architecture-decision — Step 1: Load Engine Context
Part of
/architecture-decision.SKILL.mdnames when to read this file; the settings it resolved and the rules under its later headings still apply here.
1. Load Engine Context (ALWAYS FIRST)
Before doing anything else, establish the engine environment:
-
Read
docs/engine-reference/[engine]/VERSION.mdto get:- Engine name and version
- LLM knowledge cutoff date
- Post-cutoff version risk levels (LOW / MEDIUM / HIGH)
-
Identify the domain of this architecture decision from the title or user description. Common domains: Physics, Rendering, UI, Audio, Navigation, Animation, Networking, Core, Input, Scripting.
-
Read the corresponding module reference if it exists:
docs/engine-reference/[engine]/modules/[domain].md -
Read
docs/engine-reference/[engine]/breaking-changes.md— flag any changes in the relevant domain that post-date the LLM's training cutoff. -
Read
docs/engine-reference/[engine]/deprecated-apis.md— flag any APIs in the relevant domain that should not be used. -
Display a knowledge gap warning before proceeding if the domain carries MEDIUM or HIGH risk:
⚠️ ENGINE KNOWLEDGE GAP WARNING Engine: [name + version] Domain: [domain] Risk Level: HIGH — This version is post-LLM-cutoff. Key changes verified from engine-reference docs: - [Change 1 relevant to this domain] - [Change 2] This ADR will be cross-referenced against the engine reference library. Proceed with verified information only — do NOT rely solely on training data.If no engine has been configured yet, prompt: "No engine is configured. Run
/setup-enginefirst, or tell me which engine you are using."