Use this skill when a task needs browser automation through PinchTab: open a website, inspect interactive elements, click through flows, fill out forms, scrape page text, reuse a dedicated automation profile with user approval, export screenshots or PDFs, manage multiple browser instances, or fall back to the HTTP API when the CLI is unavailable. Prefer this skill for token-efficient browser work driven by stable accessibility refs such as `e5` and `e12`.

Use this skill when a task requires browser automation through PinchTab's MCP server connected to a remote browser instance. Covers navigation, element interaction, data extraction, form filling, multi-step flows, and session management via MCP tools.

Typeset professional documents with Kami templates: resumes, one-pagers, white papers, letters, portfolios, and slide decks. Use when asked to 做 PDF / 排版 / 简历 / 一页纸 / PPT / slides, or to create a Kami landing page. Not for auditing or restyling an existing product site.

Typeset professional documents with Kami templates: resumes, one-pagers, white papers, letters, portfolios, and slide decks. Use when asked to 做 PDF / 排版 / 简历 / 一页纸 / PPT / slides, or to create a Kami landing page. Not for auditing or restyling an existing product site.

Run the Open SWE dashboard locally against real GitHub data, signed in with the `gh` CLI instead of a per-machine GitHub App. Use when asked to run the app locally, test a dashboard change against real PRs, reproduce something a screenshot shows, or when local login fails with "GITHUB_APP_CLIENT_ID not configured".

How an Open SWE workspace's sandbox image works and how to change it — create one, edit or fork an existing one, start from scratch, what setup_script and update_script are for, why a nightly refresh failed, where the build logs are, and how to read a rebuild in progress. Read this whenever someone asks about workspaces, snapshots, sandbox images, or a refresh, whether or not this is an admin thread.

Monitor a GitHub pull request until CI is green, diagnose failures, and rerun only evidence-backed flaky GitHub Actions jobs.

Use when generating target-language dubbing with KrillinAI CLI from SRT subtitles, including TTS audio creation and optional dubbed video generation.

Use when generating subtitles with KrillinAI CLI from a YouTube link, Bilibili/local video, or existing media, including platform caption download, Whisper fallback, translation, bilingual SRT, and short vertical subtitle output.

Use when rendering portrait videos with KrillinAI CLI, including converting source video to vertical format, adding short bilingual subtitles, rendering dubbed vertical videos, and checking vertical subtitle readability.

Use when rendering landscape videos with KrillinAI CLI, including original video plus bilingual subtitles or dubbed video plus target-language subtitles.

Use when validating or documenting a multi-stage KrillinAI CLI output plan; the current pipeline command supports dry-run planning only, not end-to-end execution.

Use when generating a cover image with the KrillinAI CLI from a complete image prompt, including validating image-provider configuration and inspecting the generated image and saved prompt.

Use when an agent needs to build or operate the embedded KrillinAI CLI, choose a supported command, or interpret its JSON, manifest, subtitle, dubbing, render, cover, speech, and voice outputs.

OpenCreator 内部 Creator Agent 的稳定运行规则，仅由应用自动安装和激活。

Author, edit, compile, validate, and debug any OpenVINO gh-aw agentic workflow (e.g. ci-doctor, ci-doctor-mq, and any future ones) and their shared safe-output jobs under .github/workflows/shared/agentic-workflows. Use when a user wants to create a new agentic workflow; change an existing one's prompt, triggers, tools, permissions, or safe-outputs; add or edit a shared job/step; recompile a .lock.yml; update a workflow's persisted-state JSON schemas; or test a workflow via workflow_dispatch. Do NOT use for regular (non-agentic) GitHub Actions workflows, plugin/runtime code, or diagnosing a specific live CI failure.

Ingest .mp4 video into Rerun chunk streams with rerun.experimental.Mp4Reader. Read when converting video into a VideoStream, choosing stream vs asset mode, transcoding (B-frames, output codec, GOP size) through FFmpeg, or aligning video PTS onto a recording's wall-clock timeline. Builds on rerun-chunk-processing (stream mechanics) and rerun-data-model (where the video belongs in the recording).

Convert a multi-modal robotics dataset (MCAP, HDF5, LeRobot, parquet, raw video) into layered Rerun recordings (.rrd) and a catalog-ready dataset. Use whenever the user wants a dataset converted or ingested into Rerun, a conversion pipeline reviewed or extended, or a layer added to an existing conversion — even when they only say 'convert X to rrd' or 'ingest this dataset'. Routes to the rerun-* skills for Rerun mechanics.

Assemble the per-PR changeset entries in docs/content/changelog/upcoming/ into a release's changeset-0-XX.md and generate the detailed CHANGELOG.md sections. Use at release time when the user wants to build or finalize the changelog or changeset for a Rerun release, or merge the upcoming/ entries. Invoked via /assemble-changelog or "assemble the changelog for 0.x.y".

Build and manage trusted local Paseo plugins. Use when the user asks to create, edit, install, reload, enable, disable, remove, or troubleshoot a Paseo plugin; add lifecycle hooks; transform agent configuration, environment, MCP servers, or workspace creation; automate permissions or turn follow-ups; add a native surface, sidebar item, or workspace panel; add Command Center items or slash commands; add composer pills or attachment sources; transform, render, or append agent timeline items; contribute a theme; use Paseo from plugin code; or add plugin RPCs.