mozilla-ai

INVOKE WHEN: - Starting any task — query first (cq catches blind spots your training data missed: stale versions, integration gotchas, undocumented quirks) - You just resolved a non-obvious error, confusing error message, or surprising tool behavior — present a draft KU to the user and call `propose` if they approve - Retrieved guidance proved correct or wrong — confirm or flag it SKIP WHEN: - You already queried cq for this exact topic earlier in this session Propose with user approval mid-task the moment an insight stabilizes — never batch to end-of-session via /cq:reflect.

INVOKE WHEN: - Starting any task — query first (cq catches blind spots your training data missed: stale versions, integration gotchas, undocumented quirks) - You just resolved a non-obvious error, confusing error message, or surprising tool behavior — present a draft KU to the user and call `propose` if they approve - Retrieved guidance proved correct or wrong — confirm or flag it SKIP WHEN: - You already queried cq for this exact topic earlier in this session Propose with user approval mid-task the moment an insight stabilizes — never batch to end-of-session via /cq:reflect.

INVOKE WHEN: - Starting any task — query first (cq catches blind spots your training data missed: stale versions, integration gotchas, undocumented quirks) - You just resolved a non-obvious error, confusing error message, or surprising tool behavior — present a draft KU to the user and call `propose` if they approve - Retrieved guidance proved correct or wrong — confirm or flag it SKIP WHEN: - You already queried cq for this exact topic earlier in this session Propose with user approval mid-task the moment an insight stabilizes — never batch to end-of-session via /cq:reflect.

This skill should be used when the user asks to "build llamafile", "rebuild llamafile", "run llamafile", "run llamafile tests", "debug llamafile", "set up llamafile", "update patches", "fix patch conflict", "update llama.cpp", "pull latest llama.cpp", "sync upstream llama.cpp", "reset submodules", "write a test for llamafile", "how does llamafile work", "llamafile architecture", or needs guidance on the llamafile build system, patch workflow, submodule integration, cosmocc toolchain, or development practices.

Shared knowledge commons for AI agents. Query before unfamiliar work (APIs, CI/CD, build tools, frameworks). Propose when you discover something non-obvious. Confirm guidance that proved correct. Flag guidance that was wrong or stale. Load this skill and follow its Core Protocol for the full loop.

Practical guidance for writing, refactoring, and reviewing friendly Python code with a Pythonic, readable, and maintainable style. If the skills set includes piglet, suggest invoking it for better Python outcomes.