agentleFS
pnppnp/sharepoint-skills/Skills/exec-report/exec-report/SKILL.md

exec-report

Skill142 starsChanged 3 months agoMITView on GitHub

Generates a polished, self-contained HTML executive report or dashboard from any data source — SharePoint lists, CSV exports, or a user description. Use when asked to build an exec report, one-pager, summary page, status dashboard, project summary, business review, or any single-page visual summary of data. Interviews the user if data is incomplete, constructs a validated JSON document block by block, then renders it into a single sandbox-safe HTML file using the component library. No external dependencies — output runs inside a SharePoint sandboxed iframe.

1 other project uses a version of this.

Adopted by

Most recently taken up by

The file

Show its rules and text

We split this skill into the rules it gives an agent

14 rules. About 0 are common, 11 are distinctive, and 3 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈11

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 3

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Check what the user has already provided before asking anything:

    line 23
  2. Very specific:

    SharePoint lists: Call list_items on the relevant lists.

    line 25
  3. Distinctive:

    If the data or intent is not fully clear, ask these questions in a single message — not one at a time:

    line 33
  4. Distinctive:

    If the user's prompt already signals narrative intent (e.g., "the headline is the gap," "lead with urgency," "show the wins"), skip …

    line 45
  5. Distinctive:

    Keep total block count to 4–8.

    line 59
  6. Very specific:

    Never put a headline number in prose when kpi-row can show it larger.

    line 84
  7. Very specific:

    Never use table for 2–4 numbers — use kpi-row.

    line 85
  8. Distinctive:

    Run every check before rendering.

    line 106
  9. Distinctive:

    If the site context specifies a folder for report output, save the file there after delivering it.

    line 146
  10. Distinctive:

    No external URLs, CDN links, or web fonts in the output HTML.

    line 152
  11. Distinctive:

    All data values must be pre-rendered into the HTML — the page must be fully correct with JavaScript disabled.

    line 154
  12. Distinctive:

    Do not generate Python, PowerShell, or any other scripts — output is always the HTML file.

    line 155
  13. Distinctive:

    Do not render until the validation checklist passes.

    line 156
  14. Distinctive:

    Follow the no-Person-column-type rule for any accompanying SharePoint schema: use text columns only.

    line 157

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Exec Report

Generates a complete, self-contained HTML report by (1) interviewing the user or parsing their data, (2) constructing and validating a JSON document, then (3) rendering that JSON into HTML using assets/report-template.html. The JSON is the authoritative source of truth; the HTML is fully determined by it.


Step 1: Determine the Data Source

Check what the user has already provided before asking anything:

  • SharePoint lists: Call list_items on the relevant lists. Read all needed columns before proceeding.
  • CSV or table pasted in chat: Parse all rows. Do not ask for data you already have.
  • Verbal description only: Proceed to Step 2.

Step 2: Interview the User

If the data or intent is not fully clear, ask these questions in a single message — not one at a time:

  1. Topic: What is this report about? (e.g., "Q2 pipeline health," "IT project status," "department spend overview")
  2. Audience: Who is reading it? Exec team, department head, all-hands? This determines detail level.
  3. Narrative intent: What is the shape of the story? Pick the closest match:
    • Achievement — "we hit a goal, here's how" (lead with the win: kpi-row + trend dominate)
    • Problem — "something needs attention, here's what" (lead with urgency: status-grid or table comes first)
    • Status — "here's where everything stands" (balanced overview: status-grid early, kpi-row supporting)
  4. Headline message: What should the reader walk away knowing? This becomes the hero sentence — one sentence.
  5. Sections wanted: Any specific sections — comparison to prior period, breakdown by category, status of open items, narrative highlights?
  6. Palette: Warm paper (cream/terra-cotta), deep ink (dark/gold), clean white (white/green), or slate (gray/blue)? Default to warm paper if no preference.

If the user's prompt already signals narrative intent (e.g., "the headline is the gap," "lead with urgency," "show the wins"), skip question 3 — you already have the answer.

Confirm your understanding before building the JSON.


Step 3: Choose Components and Narrative Order

The component sequence IS the story. Read references/components.md for the full component catalog, props schemas, and HTML patterns.

Always true:

  • Open with hero — sets the company, label, and hero sentence.
  • Close with highlights — narrative "so what" belongs last.
  • Maximum one trend, one table, and one highlights per report.
  • Keep total block count to 4–8.

Narrative intent drives the block order:

IntentTypical sequenceHero sentence shape
Achievementhero → kpi-row → trend → bar-list → compare → status-grid → highlights"We closed $X, up Y% from last quarter."
Problemhero → status-grid → compare → table → bar-list → highlights"We enter Q3 with X open roles and a gap in Y."
Statushero → status-grid → kpi-row → compare → bar-list → highlights"Here's where all six workstreams stand heading into Q3."

The hero sentence signals intent to the reader. Achievement heroes lead with a number and a direction. Problem heroes lead with a situation. Status heroes lead with a scope statement.

Component selection guide:

Data shapeComponent
2–4 headline numbers worth celebrating or trackingkpi-row
Values over time (3+ periods)trend
Category breakdown with relative sizesbar-list
Structured numeric comparison (QoQ, YoY, plan vs. actual)compare
Detailed row data (5+ items with 3+ fields)table
Health or urgency status of multiple itemsstatus-grid
Narrative insights: bright spots, risks, actionshighlights

Hard rules:

  • Never put a headline number in prose when kpi-row can show it larger.
  • Never use table for 2–4 numbers — use kpi-row.
  • kpi-row is not mandatory — omit it when the story is problem- or urgency-forward and metrics are supporting context, not the lead.

Step 4: Build and Validate the JSON Document

Construct the JSON object. Top-level structure:

report object (document metadata):

FieldRequiredDescription
paletteyeswarm-paper, deep-ink, clean-white, or slate
footer_lnoLeft footer text, e.g. "Generated May 28, 2026"
footer_rnoRight footer text, e.g. "47 deals analyzed"

blocks array — ordered list of content blocks. Each block: type string + props object. See references/components.md for every component's full props schema.

Validation Checklist

Run every check before rendering. Fix any failure before proceeding.

Document level:

  • report.palette is one of: warm-paper, deep-ink, clean-white, slate
  • blocks array has at least one entry
  • First block type is hero
  • Last block type is highlights
  • Block order reflects the declared narrative intent (achievement / problem / status)

Per block:

  • type is one of: hero, kpi-row, trend, bar-list, compare, table, status-grid, highlights
  • All required props are present (see components.md)
  • Numeric values are numbers, not strings with embedded units
  • No block exceeds its item count limits (see components.md limits table)

Data integrity:

  • kpi-row items count is 2–4
  • bar-list shares: largest item = 1.0, all others ≤ 1.0
  • trend data and labels arrays have the same length (3–12)
  • trend prior_data (if present) same length as data
  • compare rows have dir set to "up" or "down" on every row
  • table headers count matches every row's cell count
  • highlights items count is 3–5

Step 5: Render the HTML

  1. Read assets/report-template.html.
  2. Replace {{REPORT_TITLE}} in <title> with a concise page title (company + report label).
  3. Replace {{PALETTE_CLASS}} on <body> with palette- + the palette name (e.g. palette-warm-paper).
  4. Generate the hero block HTML (.rpt-header + .hero) and replace {{HERO}}.
  5. Generate all remaining blocks in order and replace {{BLOCKS}}.
  6. Replace {{FOOTER_L}} and {{FOOTER_R}} with footer text (or empty strings).
  7. Generate the {{INLINE_SCRIPT}} content. Include:
    • Segment bar fill-in code (if any bar-list blocks are present)
    • Trend tooltip JS with embedded TREND_DATA array (if a trend block is present)
    • See the template's script comment block for the exact code patterns to use.
  8. Deliver the complete file as the response. No prose outside the file.

If the site context specifies a folder for report output, save the file there after delivering it.


Hard Constraints

  • No external URLs, CDN links, or web fonts in the output HTML.
  • No <script src> tags. All JavaScript must be inline.
  • All data values must be pre-rendered into the HTML — the page must be fully correct with JavaScript disabled. JS adds animations and tooltips but must never be required for correctness.
  • Do not generate Python, PowerShell, or any other scripts — output is always the HTML file.
  • Do not render until the validation checklist passes.
  • Follow the no-Person-column-type rule for any accompanying SharePoint schema: use text columns only.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.