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mflux-model-porting

1.8k
filipstrandfilipstrand

Port ML models into mflux/MLX with correctness-first validation, then refactor toward mflux style.

195 days ago

mflux-dev-env

1.8k
filipstrandfilipstrand

Set up and work in the mflux dev environment (arm64 expectation, uv, Makefile targets, lint/format/test).

195 days ago

mflux-cli

1.8k
filipstrandfilipstrand

Navigate MFLUX CLI capabilities, locate commands by area, and summarize supported features.

195 days ago

mflux-pr

1.8k
filipstrandfilipstrand

Make a clean PR in mflux (inspect diff, quick verification, commit, push, open PR) using repo conventions.

195 days ago

mflux-manual-testing

1.8k
filipstrandfilipstrand

Manually validate mflux CLIs by exercising the changed paths and reviewing output images/artifacts.

195 days ago

mflux-release

1.8k
filipstrandfilipstrand

Prepare a release in mflux (version bump, changelog, uv lock) without tagging/publishing.

195 days ago

mflux-debugging

1.8k
filipstrandfilipstrand

Debug MLX ports by comparing against a PyTorch/diffusers reference via exported tensors/images (export-then-compare).

195 days ago

mflux-testing

1.8k
filipstrandfilipstrand

Run tests in mflux (fast/slow/full), preserve image outputs, and handle golden image diffs safely.

195 days ago

FAQ

AgentCC is a discovery hub for AI agent capabilities. We index Agent Skills as the primary dataset, and also organize MCP servers and selected AI tools so developers can quickly find, compare, and evaluate what to integrate into their workflows.
An Agent Skill is a reusable capability package for an AI agent. It can define workflows, tool usage patterns, domain knowledge, or execution rules that help the agent perform more reliably in a specific task or environment.
AgentCC is a resource and discovery layer, not a one-click installer. On each skill page, you should review the repository, file tree, install command, and usage notes, then integrate it according to the runtime or client you are using.
No. AgentCC primarily indexes external repositories and metadata. We help you understand what a skill is, where it comes from, and how it may be used, but execution and security decisions still belong to your own runtime environment.
No directory can guarantee absolute safety. AgentCC can help surface repository links, file structures, and metadata, but you should still verify permissions, external dependencies, API usage, and code quality before using a skill in production or on sensitive machines.
Yes. AgentCC is designed to be an evolving resource graph. As the submission and curation workflow matures, contributors will be able to recommend high-quality skills, MCP servers, and AI tools into the directory.
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