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SkillsMP has collected 12 skills from scouzi1966/maclocal-api. Open a skill to review its source and details.
Showing 12 of 12 collected skills.
Maintain and extend AFM (maclocal-api), a Swift OpenAI-compatible local LLM server and CLI for Apple Foundation Models, MLX models, API gateway proxying, and Vision OCR. Use when working on AFM CLI commands (`afm`, `afm mlx`, `afm vision`), OpenAI…
Build and test maclocal-api/AFM reliably with Xcode 27 and MLX.
Use when promoting afm to a stable release — builds from main HEAD or a nightly commit, verifies patches, updates Homebrew stable tap (afm.rb), builds a PyPI wheel, updates README and version files, and verifies both brew install and pip install work. Repo…
Use when user wants to build a PyPI wheel from an existing compiled afm binary and publish to PyPI. Covers staging assets, building the wheel, and providing the uv publish command. Only for official stable releases, not nightly builds.
Build, test, and publish an afm-next nightly release — full from-scratch build, user testing pause, GitHub release, and Homebrew tap update. Use when user types /build-afm-nightly-publish or asks to publish a nightly build.
Test a pre-built afm binary at any path — runs pre-flight safety checks, then any combination of unit tests, assertions, smart analysis, promptfoo evals, batch validation, OpenAI compat, GPU profiling. Use when user wants to validate a binary post-build,…
Build or test maclocal-api reliably with Xcode 27 and MLX resources.
Build AFM from scratch — submodules, patches, webui, and Swift build. Use when user types /build-afm, asks to build afm, or needs a fresh build from a clean clone.
Run the maclocal-api (AFM/MLX) test suite — automated assertions and smart analysis. Use when asked to test, validate, regression-check, or benchmark AFM before release, after code changes, or for model onboarding.
Run and review the Promptfoo-based AFM agentic evaluation suite. Use when the user wants structured-output, tool-calling, grammar, guided-json, streaming, concurrency, or agentic QA coverage for AFM, and especially when they want help choosing harness options…
Use when testing tool call reliability between OpenCode and afm — captures streaming XML tool call errors, classifies them as afm translation bugs vs model generation errors, and produces a diagnostic report without fixing anything
Add support for a new HuggingFace MLX model to AFM. Use when user wants to add, onboard, or check compatibility of a model — handles everything from "already supported" to implementing new architectures.