Specifies requirements for analytics dashboards including metrics, visualizations, filters, and data sources. Use when requesting from data teams, defining KPIs, or documenting reporting needs.
From pm-skillsnpx claudepluginhub product-on-purpose/pm-skillsThis skill uses the workspace's default tool permissions.
references/EXAMPLE.mdreferences/TEMPLATE.mdGuides AI-assisted editing of real video footage: transcribe/plan cuts with Claude, execute via FFmpeg bash scripts, augment with Remotion/ElevenLabs/fal.ai, polish in Descript/CapCut.
Ingests video/audio from files, URLs, RTSP, desktop; indexes/searches moments with timestamps/clips; transcodes/edits timelines (subtitles/overlays/dubbing); generates assets and live alerts.
Compares coding agents like Claude Code and Aider on custom YAML-defined codebase tasks using git worktrees, measuring pass rate, cost, time, and consistency.
A dashboard requirements document specifies what questions a dashboard should answer, what metrics it displays, and how data should be visualized. Clear requirements help data teams build dashboards that actually inform decisions rather than just displaying numbers.
When asked to specify dashboard requirements, follow these steps:
Define the Purpose Start with the questions this dashboard should answer, not the charts it should show. What decisions will this dashboard inform? A dashboard without clear purpose becomes a vanity metrics display.
Identify the Audience Specify who will use this dashboard, how often, and in what context. An executive weekly review has different needs than a team's daily standup board.
Specify Key Metrics For each metric, document: name, business definition (in plain language), calculation formula, data source, and baseline/target values. Ambiguous metrics lead to misaligned dashboards.
Design Visualizations Recommend chart types based on what the data should communicate. Time trends need line charts; comparisons need bar charts; compositions need pie/treemaps. Include dimension breakdowns.
Define Filters and Segments Specify what drill-downs users need: date ranges, user segments, product areas, geographic regions. Anticipate the "slice and dice" questions users will ask.
Document Data Sources Identify where data comes from and any known data quality issues. Note latency requirements—does the dashboard need real-time data or is daily refresh sufficient?
Set Permissions and Access Determine who can view what. Some metrics may need restricted access. Consider both security requirements and organizational politics.
Use the template in references/TEMPLATE.md to structure the output.
Before finalizing, verify:
See references/EXAMPLE.md for a completed example.