القائمة
Create and adapt the inference snap structure from reference examples (packaging, engines, hooks, scripts, components).
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Create GitHub Actions workflow files for inference snap repositories based on canonical/gemma4-snap patterns.
Build, install, and runtime-verify an inference snap including engine selection and prompt/API checks.
Run the full inference-snap workflow as a sequential chain of subagents — structure → github workflows → static checks → build & test — passing each stage's report as input to the next.
Perform static quality checks for an inference snap (snapcraft.yaml consistency, component completeness, model signature verification).
| name | inference-snap-structure |
| description | Create and adapt the inference snap structure from reference examples (packaging, engines, hooks, scripts, components). |
| trigger | Keywords like "create snap structure", "adapt inference snap", "scaffold inference snap", "set up engines/hooks/components" |
| scope | user |
Create the snap structure by reusing proven patterns from example repositories, with minimal targeted adaptation.
RULESET.md (sibling file in this skill directory) — the authoritative structural ruleset extracted from the original example repos. Read it before scaffolding. It defines Variant A (single-file model) and Variant B (sharded model > 5 GB) and is self-contained — do NOT consult external example repos.RULESET.md and pick the variant (A: model ≤ 5 GB, B: model > 5 GB).dev submodule targeting https://github.com/canonical/inference-snaps-dev.git)git clone --recurse-submodules instructions){{SNAP_NAME}}, {{MODEL_ALIAS}}, {{PORT}}, …).dev git submodule in the new project.