DataReportBuilder
Skill1 starsChanged 30 days agoMITView on GitHub
Turn a raw Excel/CSV dataset into a two-layer report — plain-language summary plus untouched raw data. USE WHEN someone shares a spreadsheet wanting a report, analysis, summary, or breakdown.
In this repository45 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- skills/Prompting/Tools/CLAUDE.mdCLAUDE.md
- skills/Prompting/vendors/Claude.mdCLAUDE.md
- llms.txtllms.txt
- AdaptiveExplainersSkill
- AgySkill
- ArtSkill
- BackendDesignSkill
- BuildSkill
- CodebaseOnboardingSkill
- CodingStandardsSkill
- ContextBudgetSkill
- CreateCLI-AgentSkill
- CreateCLI-HumanSkill
- CreateCLISkill
- CreateHookSkill
- CreateMcpSkill
- CreatePluginSkill
- CreateSkillSkill
- DockerPatternsSkill
- EmailSkill
- FrontendAestheticsSkill
- FrontendDesignSkill
- GitHubOpsSkill
- GitWorkflowSkill
- HygieneSkill
- IterateSkill
- MacPluginPlaybookSkill
- ModelUpgradeSkill
- OpenCodeSkill
- OrchestrateSkill
- PiSkill
- PromptingSkill
- ReflectSkill
- ResearchSkill
- RobinhoodSkill
- SecurityReviewSkill
- SkillForgeSkill
- SocialPostSkill
- SpecSkill
- SuperwhisperLocalModelsSkill
- TestSkill
- VerifySkill
- WorkflowsSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are 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.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 24
Always run BuildReport end to end — it scopes the audience first, then builds and validates.
- Distinctive: line 56
Never mutate the source data — the report is two layers: a plain-language summary plus the untouched raw data.
≈ “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
Data Report Builder
Turns a raw dataset into a two-layer Excel deliverable with a bun + TypeScript
engine (Tools/ReportKit.ts, ExcelJS): a plain-language Summary tab a
non-technical reader gets in 30 seconds, optional filterable Action tabs, and
the untouched Raw Data tab so a technical reviewer can trust it.
Workflow Routing
| Workflow | Trigger | File |
| BuildReport | "report", "analysis", "summary", "breakdown", "present this to…" | Workflows/BuildReport.md |
Always run BuildReport end to end — it scopes the audience first, then builds and validates.
Quick Reference
- One-time setup:
cd Tools && bun install - Engine API (
intro/cards/table/steps/actionList/rawData/save): read the header docstring ofTools/ReportKit.ts - Runnable template to copy:
Tools/Example.ts - Validate output:
bun Tools/Recalc.ts <file.xlsx>
Examples
Example 1: Compliance review
User: "Here's the device export — can you summarise where we stand for management?"
→ BuildReport: asks audience + decision → green/amber/red cards by readiness
→ Action List sorted "Action needed" first → Raw Data verbatim → recalc → hand offExample 2: Status tracking
User: "Turn this ticket dump into something I can present to the team."
→ BuildReport: breakdown by owner → number cards + breakdown table → filterable tabsExample 3: Plain understanding
User: "Just help me understand this spreadsheet."
→ BuildReport: defaults (mixed audience, diplomatic) stated in one line → Summary + Raw DataGotchas
- Never mutate the source data — the report is two layers: a plain-language summary plus the untouched raw data. Altering raw values destroys the audit trail.
- Validate column types before aggregating; a numeric column read as text silently produces wrong totals.
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
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.

