Train your AI coders the way you'd train a vine — discover your codebase's actual patterns, then encode them as Claude Code rules, skills, agents, hooks, and a guided pipeline so generated code lands inside your conventions on the first try, not the fifth.
Junhanliu-dev/espalier-engineering
Skill Claude CodeCodex
Analyze any existing codebase, discover its patterns and best practices, and generate an Espalier structure (rules, skills, wiki, pipeline) so AI coders produce code matching that project's language and conventions. Greenfield repos take the two-pass Decide-Then-Bind path (/espalier-map charts the conventions, init…
Junhanliu-dev/espalier-engineering
Skill Claude CodeCodex
Migrate an existing harness/espalier install to the current Espalier version — auto-detects which of v0.1→v0.2, v0.3→v0.4, v0.4→v0.5, the v0.5.3 coder-agent patch, v0.5→v0.6 (Stage 1 grill), v0.6→v0.7 (read-only /espalier-ask lane), v0.7→v0.8 (requirements approval gate), the v0.8.1 impact-analysis agent patch, the…