Add or audit an XTuner chat-template implementation and its loss mask from an official Hugging Face model repository or local model directory. Use when supporting a new model under xtuner/v1/data_proto/messages, checking an existing implementation against tokenizer or processor apply_chat_template, deciding which assistant output and stop/EOS tokens receive loss, adding regression tests, or validating that exported training behavior matches vLLM and SGLang inference.
xtuner is a Claude Code agent skill that add or audit an XTuner chat-template implementation and its loss mask from an official Hugging Face model repository or local model directory. Use when supporting a new model under xtuner/v1/data_proto/messages, checking an existing implementation against tokenizer or processor apply_chat_template, deciding which assistant output and stop/EOS tokens receive loss, adding regression tests, or validating that exported training behavior matches vLLM and SGLang inference.
npx skills add InternLM/xtunerAdd or audit an XTuner chat-template implementation and its loss mask from an official Hugging Face model repository or local model directory. Use when supporting a new model under xtuner/v1/data_proto/messages, checking an existing implementation against tokenizer or processor apply_chat_template, deciding which assistant output and stop/EOS tokens receive loss, adding regression tests, or validating that exported training behavior matches vLLM and SGLang inference.
Extract frames or short clips from videos using ffmpeg.
Summarize or transcribe URLs, YouTube/videos, podcasts, articles, transcripts, PDFs, and local files.
Use when testing, fixing, or extending the OpenClaw Control UI GUI with Vitest + Playwright end-to-end checks, mocked Gateway WebSocket flows, mocked dashboard runs, screenshots/videos, or agent-verifiable browser proof.
Obra superpowers agent skills.
Use when implementation is complete, all tests pass, and you need to decide how to integrate the work
Use when you have a spec or requirements for a multi-step task, before touching code