report-information-design
Skill1 starsChanged 31 days agoMITView on GitHub
This skill should be used when turning analysis or research into a polished, well-organized report, brief, audit, or one-pager, especially a self-contained HTML document. Trigger phrases: "build a report", "write up the findings", "create an HTML report/brief/audit", "turn this research into a report", "how should I present this", "organize this information", "make it look professional", "add an executive summary and recommendations". Use it whenever findings need to become a shareable deliverable.
In this repository7 other files it gives its agents.
- conversion-copywritingSkill
- deep-research-synthesisSkill
- ecommerce-cro-auditSkill
- experiment-designSkill
- getting-startedSkill
- outbound-and-positioningSkill
- voc-researchSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 28
Self-contained, responsive, print-friendly, QA'd: before delivery.
- Very specific: line 38
Run references/qa-checklist.md (tag balance, node --check on any JS, a render check, scripts/check_citations.py for links, figures and …
- Distinctive: line 55
Don't put explanatory prose inside visuals.
≈ “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.
Files
Report & Information Design
Turn findings into a document a busy decision-maker can scan in two minutes and a practitioner can act on for a month, and make it render flawlessly.
Principles
- Lead with the conclusion (BLUF). Open with the finding and the recommendation.
- One idea per block.
- Design for scanning (headings, short paragraphs, callouts, visuals).
- Show, don't tell (charts, annotated blueprints over prose).
- Cite inline + collect sources with reliability tiers and the gapless citation spec (
references/citations-and-grounding.md). - Prioritize visibly (evidence-strength × effort matrix + phased roadmap).
- Calibrate to audience (internal-technical vs client-facing).
- Self-contained, responsive, print-friendly, QA'd before delivery.
Default report structure
Executive summary → data/baseline → diagnosis (a model, not symptoms) → current-state teardown → evidence (tiered sources) → recommendations + annotated blueprint → action plan (evidence-strength × effort matrix + phased roadmap + the metric) → sources & method. Templates in references/report-structure.md.
Build & cite
- Build with the render-safe component library in
references/html-components.md. Obey the rules: never put text inside data-width bars (use label|track|value rows); never use absolute-positioned label clouds (use quadrant grids); collapse every grid on mobile; keep prose out of visuals; match the subject's real brand tokens. - Generate outline-first, section-by-section (pass prior headers in to avoid duplication), then a polish pass. Cite with the gapless sequential spec and a one-per-line Sources list (
references/citations-and-grounding.md).
QA before delivering
Run references/qa-checklist.md (tag balance, node --check on any JS, a render check, scripts/check_citations.py for links, figures and footnotes) plus the grounding gate from references/citations-and-grounding.md (every load-bearing claim cited; numbers/dates attributed; no sources dropped in a merge).
Reference map
references/report-structure.md— section templates, IA principles, audience calibration, the annotated-blueprint pattern.references/html-components.md— render-safe HTML/CSS component library + the rendering-bug rules.references/citations-and-grounding.md— citation spec, outline-first generation, question-type templates, tone presets, and the grounding/self-verification gate.references/qa-checklist.md— pre-delivery verification steps and commands.references/experiment-readout.md— the one-page A/B test readout (numbers fromexperiment-design/scripts/readout.py).scripts/check_citations.py— checks every cited URL resolves and HTML footnotes are gapless; checks load-bearing numbers against their source page when given a--claimsCSV (url,expect).
Engagement context
At the start of a task, check for the engagement brief (default ./cro-engagement.md, created by the getting-started skill / /kickoff). If it exists, read it first and match the deliverable's audience (internal vs client-facing) and the brand voice/tokens it records. If it's missing and the work is more than a one-off, offer to capture one via getting-started.
Related skills
deep-research-synthesis (supplies tiered evidence), ecommerce-cro-audit (a frequent input), experiment-design (test readouts), voc-research (customer themes and quotes). Agents: report-builder runs this skill; cro-verifier checks citations and grounding before ship.
Guardrails
Don't put explanatory prose inside visuals. Don't ship a visual that could overlap/clip at any width. Always verify before presenting; offer a browser screenshot if you can't render locally.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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- It worked
- Partly
- It didn't
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.
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