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SkillsMP は sccn/eegprep から 9 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 9 件中 9 件を表示しています。
Run an unusually strict EEGPrep code-quality review for architecture, maintainability, abstraction quality, file sprawl, spaghetti branching, and missed simplification. Use for thermo-nuclear review, thermonuclear review, deep maintainability audit, strict…
原文の言語: 英語
Build, port, or iterate on EEGPrep GUI features so they visually and behaviorally match EEGLAB MATLAB UI. Use when implementing a pop_ function GUI, adding an EEGPrep Qt dialog/window, creating or updating visual parity cases under tools/visual_parity,…
原文の言語: 英語
Build EEGPrep external extension packages with SDK registration, declarative menus, pop_* console/history behavior, packaged help/data, distribution choices, tests, GUI visual parity, and catalog-readiness. Use when Codex or a researcher needs to create,…
原文の言語: 英語
Develop new EEGPrep features end to end with EEGLAB parity, AGENTS.md compliance, planning, implementation, tests, GUI visual parity, GUI user-flow QA, review, and PR creation. Use when a user asks Codex to build or port an EEGPrep feature, especially pop_*…
原文の言語: 英語
Plan EEGPrep multi-phase GitHub epics, phase issues, epic branches, merge order, and agent-ready /goal prompts for EEGLAB parity or major product work. Use when the user asks to organize EEGPrep work as an epic, create phase issues, plan parallel agent…
原文の言語: 英語
Exhaustive user-flow QA workflow using the Computer/GUI agent plus terminal for current PR or branch features. Use only when the user explicitly invokes `$gui-agent-flow-qa`, explicitly mentions `gui-agent-flow-qa`, or explicitly asks to use the Computer/GUI…
原文の言語: 英語
End-to-end workflow for fixing a GitHub issue. Use when asked to fix, investigate, or resolve a GitHub issue in sccn/eegprep.
原文の言語: 英語
Authoring pull requests in sccn/eegprep. Use when creating or updating a PR, and whenever changing a branch that is already associated with a PR.
原文の言語: 英語
Review a pull request for correctness, EEGLAB parity, and behavioral regressions in sccn/eegprep.
原文の言語: 英語