create-dashboard
Creates cohesive Mixpanel dashboards by discovering event and property schemas, validating queries with real data, and arranging reports in a top-to-bottom…
Identity proven by GitHub's verified organisation badge (mixpanel)
- Agents
- Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, claude.ai and API
- License
- Apache-2.0 (permissive)
- Pin
- dfb891bpinned Oct 9, 2026
- Context cost
- about 1,100 tokenswhen the skill loads
- GitHub stars
- 15on mixpanel/ai-plugins
- Scripts
- None found
What it does
“Creates a well-designed Mixpanel dashboard. Use when the user asks you to build, create, or design a dashboard, or when you need to present findings from an investigation as a live dashboard. Handles layout, text cards, report validation, and narrative structure.”
Generated summary from the skill's own text
Creates cohesive Mixpanel dashboards by discovering event and property schemas, validating queries with real data, and arranging reports in a top-to-bottom narrative structure. Uses text cards, layouts of 4-8 rows with 2-4 reports per row, and descriptive naming to present analytical findings as live dashboards.
When to use it
- User asks to build or design a Mixpanel dashboard
- Need to present investigation findings as a live dashboard
- Require structured layout of multiple analytics reports
- Want to validate data exists before adding reports to dashboard
When not to
- Building dashboards in systems other than Mixpanel
- User needs a quick single metric query instead of full dashboard
- No Mixpanel project context is available
Install
These commands install from the publisher's repository and need no account.
skills CLI
npx skills add mixpanel/ai-plugins --skill create-dashboardInstalls from the repository's default branch, which may have changed since the commit we checked.
GitHub CLI 2.90 or later
gh skill install mixpanel/ai-plugins create-dashboard@dfb891bb6f754b5dcab2131b7311e7ccb9bf8c3eInstalls the commit we checked (dfb891b).
Copy by hand
Download the folder at dfb891b and put it in .claude/skills/create-dashboard for Claude Code and in .agents/skills/create-dashboard for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode.
Copy for your agent
A prompt for any coding agent. It installs this skill from GitHub at the pinned commit, copies the files as they are, and runs nothing unless you ask.
Prompt
Install the agent skill "create-dashboard" by Mixpanel. Source, pinned to commit dfb891bb6f754b5dcab2131b7311e7ccb9bf8c3e: https://github.com/mixpanel/ai-plugins/tree/dfb891bb6f754b5dcab2131b7311e7ccb9bf8c3e/plugins/mixpanel/skills/create-dashboard 1. Download that folder at exactly this commit. Do not use the default branch. 2. Copy every file unchanged, keeping the folder structure, into .claude/skills/create-dashboard/ for Claude Code and .agents/skills/create-dashboard/ for Codex, Cursor, Gemini CLI, GitHub Copilot and OpenCode. Create the folders if they do not exist. 3. Do not edit the files, and do not run any script in the folder unless I ask you to. 4. When you are done, list the files you copied and where you put them. Listing and checks: https://www.agentnative.dev/skills/mixpanel/create-dashboard
SKILL.md at the pin
--- name: create-dashboard description: Creates a well-designed Mixpanel dashboard. Use when the user asks you to build, create, or design a dashboard, or when you need to present findings from an investigation as a live dashboard. Handles layout, text cards, report validation, and narrative structure. license: Apache-2.0 metadata: engine: required --- # Dashboard Creation > **Engine required** — resolve an engine per [`ENGINE.md`](../../ENGINE.md): one named in the conversation or loaded instructions is mandatory (not set up → offer `/mixpanel:install` for it); otherwise use the Mixpanel MCP server, or offer `/mixpanel:install` if it's unavailable. Your job is to design a coherent analytical narrative, not just drop reports into rows. ## Requirements - Access to Mixpanel (query schemas, run queries, manage dashboards). --- ## Workflow ### Phase 1 — Scope Infer the theme from the user's request and surrounding context. Pick a sensible structure yourself. Ask clarifying questions if the request is fundamentally ambiguous (e.g. no project context at all). 1. **Project.** Which Mixpanel project? If ambiguous, ask. 2. **Theme.** What is the dashboard about? Derive scope from the request. ### Phase 2 — Discover and validate This is the most important phase. Empty or failing reports are the #1 complaint. 1. Resolve event and property names by querying the project schema (always discover available events and properties before building queries). 2. Run small probe queries to confirm the data exists and returns meaningful results. 3. A query that runs successfully but returns zero rows is still not useful — treat it like a missing event. ### Phase 3 — Plan layout Before building, decide: - **Be space-efficient.** Fewer rows with more reports each makes the dashboard faster to scan. Don't spread metrics across many rows when they fit naturally together. - **Row hierarchy.** Headline metrics on top, supporting breakdowns below. The dashboard reads top-to-bottom like a narrative. - **Row count.** Aim for **4-8 rows**. Don't add every available breakdown, be smart. - **Items per row.** Use **2–4 reports per row**. A single report alone in a row wastes space — pair it with related metrics or a text card. **4 cards per row** (text + reports combined) is the practical maximum. - **One conceptual focus per row.** Group related reports together; never mix unrelated metrics in the same row just to fill space. - **Time filter.** Decide intentionally: Dashboard global time filter overrides all the reports. Don't use it when you want each report to have its own default range. - **Text cards.** Identify where they add real value (see rules below). ### Phase 4 — Build queries 1. Validate every query returns real, non-empty data before adding it to the dashboard. 2. Only use `skip_results: true` once you have already confirmed a query produces meaningful output. 3. Never reuse a query template without knowing it produces valid results. ### Phase 5 — Compose the dashboard - **Title:** `<distinguishing emoji> <theme>` — the emoji helps users tell multiple dashboards apart at a glance. - **First row:** Intro text card setting context (what this dashboard covers, scope, audience, caveats). - **Subsequent rows:** 1-4 reports per row, with an optional leading text card. - **Report names:** Every report needs a descriptive name a viewer can understand without clicking into it — what the metric is, what it is broken down by, what context it covers. Avoid generic names like "Funnel" or "Trend". - Be creative with layout. Each dashboard is different. Think about what _this_ user needs and arrange for maximum clarity. ### Phase 6 — Present Respond with a brief summary (2–3 sentences) and the dashboard URL. **Never** list individual report URLs — the dashboard already contains them. --- ## Text Cards ### When to use them - **Set context at the top** — what this dashboard covers, scope, audience, caveats. - **Provide guidance at the bottom** — next steps, follow-ups. - **Explain a concerning metric** — call attention to something the user should watch. - **Section a row** — a short text card next to the report it describes. ### Placement rules - **At most one text card per row.** - Place a text card next to the report it relates to, or use it as a standalone row for section headings. ### Writing style - Use rich formatting (headings, lists, bold, inline code) to create hierarchy inside the card — that is what makes them scannable. Read dashboard schema documentation for formatting options. - Keep them short. A text card is a sign-post, not an essay. - Lead with the point. If the card explains a metric, state the takeaway first, then the nuance.
From mixpanel/ai-plugins at dfb891b, shown as plain text under its license: Apache-2.0 (permissive). The license text is in plugins/mixpanel/skills/create-dashboard/SKILL.md.
View SKILL.md on GitHub at dfb891bFiles
- SKILL.md4.8 KB · b26de352b1d3
1 file, 4.8 KB in total. Each file has a sha256 in the pin's manifest; the first 12 characters are shown.
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