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Build a source-backed dashboard or monitoring view with clear metrics, filters, visual hierarchy, definitions, refresh context, and QA.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/XiaomiMiMo/MiMo-Code --skill build-dashboardコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
Use whenever the user asks about MiMoCode itself: features, TUI or CLI commands, keybindings, terminal compatibility, rendering glitches, TUI lag, SSH or remote rendering, agent modes (build / plan / compose) and how to switch between them, configuration, file locations, providers, models, authentication, or custom OpenAI-compatible or Anthropic-compatible API endpoints. Especially trigger when a prompt supplies or asks to configure a base URL/baseURL, API key/apiKey, model name or ID, provider, Anthropic Messages API, or global/project mimocode.json/jsonc, or when the user asks how to enter or leave plan mode. Also trigger when a skill, task, subprocess, or external client needs to borrow this instance's models — the OpenAI-compatible /v1 chat, audio/speech, and audio/transcriptions endpoints every MiMoCode server serves, `mimo llm-server` task tokens, or how to expose a listening port for them. Use this skill to inspect existing config safely, make minimal changes, and verify them without guessing schema fi
Demo and end-to-end fixture for MiMoCode's temporary local LLM server. Use when verifying that a skill can borrow a configured chat or text-to-speech model through a local base_url and a throwaway token instead of a real provider API key, or when testing the expire-and-reissue loop. Not a general-purpose skill.
Use for multi-step feature work, bug fixes, or refactors where requirements need to settle, a feature document should carry design + tasks + delivery evidence, and the change deserves independent review before merge. Use it only when the user explicitly requests this workflow, whether with `/compose-next`, by name, or in any other clear natural language; do not infer the request from task complexity alone. Not for one-shot edits, single-file tweaks, or answering questions — those need no orchestration overhead.
SOC 職業分類に基づく
SKILL.md を表示中
| name | build-dashboard |
| description | Build a source-backed dashboard or monitoring view with clear metrics, filters, visual hierarchy, definitions, refresh context, and QA. |
Use this workflow when the user needs a reusable monitoring or exploration surface rather than a one-time report. Read the relevant analysis and KPI workflows first when metric definitions or decision logic are not already settled.
Honor the user's destination. Otherwise choose the simplest surface supported by the harness:
specifications/streamlit-dashboard.md.specifications/html-dashboard.md.Do not require React, Vite, Recharts, MCP Apps, or widget runtimes.
../visualize-data/SKILL.md for each chart and keep exact lookup values accessible in tables.