dashboard-mid — for Claude Code dashboard-mid, dashboard_mid, community, for Claude Code, ide skills, README.md, scripts, Dashboard, Mirror, Canonical

v1.2.0

关于此技能

适用场景: Ideal for AI agents that need dashboard mid skill (mirror). 本地化技能摘要: # Dashboard Mid Skill (Mirror) Canonical skill path: ./skills/dashboard-mid/SKILL.md. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

功能特性

Dashboard Mid Skill (Mirror)
Canonical skill path: ./skills/dashboard-mid/SKILL.md.
Fixed Workflow (Mandatory)
Read and understand the repository before editing.
Read docs/ai/README.md and src/prompts/README.md.

# 核心主题

ltchcmus ltchcmus
[0]
[0]
更新于: 4/20/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for teams, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
8/11
Quality Score
34
Canonical Locale
en
Detected Body Locale
en

适用场景: Ideal for AI agents that need dashboard mid skill (mirror). 本地化技能摘要: # Dashboard Mid Skill (Mirror) Canonical skill path: ./skills/dashboard-mid/SKILL.md. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

核心价值

推荐说明: dashboard-mid helps agents dashboard mid skill (mirror). Dashboard Mid Skill (Mirror) Canonical skill path: ./skills/dashboard-mid/SKILL.md. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

适用 Agent 类型

适用场景: Ideal for AI agents that need dashboard mid skill (mirror).

赋予的主要能力 · dashboard-mid

适用任务: Applying Dashboard Mid Skill (Mirror)
适用任务: Applying Canonical skill path: ./skills/dashboard-mid/SKILL.md
适用任务: Applying Fixed Workflow (Mandatory)

! 使用限制与门槛

  • 限制说明: src/ is source code only.
  • 限制说明: Do not move outputs into the wrong folder.
  • 限制说明: A task is done only when:

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

评审后的下一步

先决定动作,再继续看上游仓库材料

Killer-Skills 的主价值不应该停在“帮你打开仓库说明”,而是先帮你判断这项技能是否值得安装、是否应该回到可信集合复核,以及是否已经进入工作流落地阶段。

实验室 Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

常见问题与安装步骤

以下问题与步骤与页面结构化数据保持一致,便于搜索引擎理解页面内容。

? FAQ

dashboard-mid 是什么?

适用场景: Ideal for AI agents that need dashboard mid skill (mirror). 本地化技能摘要: # Dashboard Mid Skill (Mirror) Canonical skill path: ./skills/dashboard-mid/SKILL.md. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

如何安装 dashboard-mid?

运行命令:npx killer-skills add ltchcmus/dashboard_mid/dashboard-mid。支持 Cursor、Windsurf、VS Code、Claude Code 等 19+ IDE/Agent。

dashboard-mid 适用于哪些场景?

典型场景包括:适用任务: Applying Dashboard Mid Skill (Mirror)、适用任务: Applying Canonical skill path: ./skills/dashboard-mid/SKILL.md、适用任务: Applying Fixed Workflow (Mandatory)。

dashboard-mid 支持哪些 IDE 或 Agent?

该技能兼容 Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer。可使用 Killer-Skills CLI 一条命令通用安装。

dashboard-mid 有哪些限制?

限制说明: src/ is source code only.;限制说明: Do not move outputs into the wrong folder.;限制说明: A task is done only when:。

安装步骤

  1. 1. 打开终端

    在你的项目目录中打开终端或命令行。

  2. 2. 执行安装命令

    运行:npx killer-skills add ltchcmus/dashboard_mid/dashboard-mid。CLI 会自动识别 IDE 或 AI Agent 并完成配置。

  3. 3. 开始使用技能

    dashboard-mid 已启用,可立即在当前项目中调用。

! 参考页模式

此页面仍可作为安装与查阅参考,但 Killer-Skills 不再把它视为主要可索引落地页。请优先阅读上方评审结论,再决定是否继续查看上游仓库说明。

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

dashboard-mid

# Dashboard Mid Skill (Mirror) Canonical skill path: ./skills/dashboard-mid/SKILL.md. This AI agent skill supports Claude Code, Cursor, and Windsurf

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Dashboard Mid Skill (Mirror)

Canonical skill path: ./skills/dashboard-mid/SKILL.md.

Fixed Workflow (Mandatory)

  1. Read and understand the repository before editing.
    • Read README.md.
    • Read docs/ai/README.md and src/prompts/README.md.
    • Inspect the active folder tree under .agents/, data/, docs/, scripts/, and src/.
  2. Confirm structure and ownership.
    • src/ is source code only.
    • data/outputs/slides/ is for generated slide artifacts.
    • scripts/individual/ and scripts/final/ are for speaking scripts.
  3. Implement the user request.
    • Keep modules and responsibilities separated.
    • Do not move outputs into the wrong folder.
  4. Log prompts after implementation (required).
    • Save reusable prompts or final prompts in src/prompts/.
    • Preferred file naming: src/prompts/YYYY-MM-DD-task-slug.md.
    • Minimum sections: Objective, Context, Final Prompt, Expected Output.
  5. Log AI handover notes after implementation (required).
    • Save concise implementation notes in docs/ai/.
    • Preferred file naming: docs/ai/YYYY-MM-DD-task-slug.md.
    • Minimum sections: Request Summary, Files Changed, Key Decisions, Next Steps.
  6. Verify and synchronize docs.
    • If folder structure changes, update README.md and both skill files.
    • Verify paths, commands, and runtime assumptions.

Folder Contracts

  • src/: Application source code.
  • data/raw/: Raw immutable input data.
  • data/outputs/slides/markdown/: Generated markdown slide content.
  • data/outputs/slides/pptx/: Exported PowerPoint files.
  • scripts/individual/: Per-speaker presentation scripts.
  • scripts/final/: Final merged presentation scripts.
  • docs/ai/: AI-facing notes and handover documents.
  • docs/human/: Human-facing guides and presentation materials.

Guardrails

  • Never write speaking scripts into data/outputs/.
  • Never write generated artifacts into src/.
  • Never finish a task without updating prompt logs and AI notes.

Definition of Done

A task is done only when:

  • The requested change is implemented.
  • Prompt logs are updated in src/prompts/.
  • AI notes are updated in docs/ai/.
  • Folder responsibilities remain correct.
  • Documentation matches the current repository state.

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