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numman-ali

@numman-ali source repo

7 published skills

  1. ▌
    Orchestration · numman-ali bundle
    Multi-agent orchestration for complex tasks. Use when tasks require parallel work, multiple agents, or sophisticated coordination. Triggers include requests for features, reviews, refactoring, testing, documentation, or any work that benefits from decomposition into parallel subtasks. This skill defines how to orchestrate work using cc-mirror tasks for persistent dependency tracking and TodoWrite for real-time session visibility.
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    Axi · numman-ali
    Agent eXperience Interface (AXI) — ergonomic standards for building CLI tools that agents use via shell execution. Use when building, modifying, or reviewing any agent-facing CLI.
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    Serve Cache QA · numman-ali
    Diagnose and validate @mlxts/serve prompt-prefix cache behavior across Pi-style agent sessions, Gemma/Qwen dense and MoE checkpoints, exact-boundary caches, and multi-model serving.
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    Validation · numman-ali bundle
    Use this skill when working on MLXR runtime debugging, log triage, validation discipline, benchmark-backed claims, or deciding whether runtime behavior is strong enough to count as evidence rather than a one-off run.
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    Family Bringup · numman-ali bundle
    Use this skill when bringing up a new model family, re-basing an existing family onto the current platform contract, or deciding what belongs in core workflow orchestration versus family or host code.
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    Media Asset Composer · numman-ali bundle
    Design static and light-motion media assets such as posters, slides, cards, flyers, invitations, social graphics, thumbnails, hero images, banners, certificates, README art, and short promo reels. Use when Codex needs to turn text, images, icons, or video into polished layout-driven visuals, especially through a reproducible Python, Pillow, SVG, or ffmpeg workflow.
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    Ltx Fidelity Debugging · numman-ali bundle
    Use this skill when debugging real LTX-2.3 output quality, running safe manual smoke tests, interpreting stage snapshots, or deciding whether a result is specific enough to count as a clear dog or other visually coherent subject.
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