Report Generator

Community

MAGA2010

report-generator

Assemble report.md, executive_summary.md and report.pdf from the artifacts. Every number is registered against its source; the PDF is the primary deliverable and the Markdown is the citable source.

Overview

Publisher	MAGA2010
Repository	`data-master`
Skill name	`report-generator`
Stars	55
Forks	1
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by MAGA2010 on GitHub. Read the source before you install it.

Installation

Install the Report Generator AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/MAGA2010/data-master/tree/main/skills/report-generator
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/MAGA2010/data-master.git /tmp/data-master
mkdir -p .claude/skills
cp -r /tmp/data-master/skills/report-generator .claude/skills/report-generator

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Report Generator in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Report Generator on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Report Generator is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

report-generator

Stage 3b of the data-master pipeline. The router in ../../SKILL.md owns the end-to-end run; this skill owns one stage and one gate. Read the parent contract before changing anything here: the invariants in ../../SKILL.md (additive-only, types decided once, default-FAIL gates, three-part provenance) are not restated, they are inherited.

When to invoke

After figures render. Never before the statistical gates have artifacts to read -- a report written first is a report that has to be edited to fit the numbers.

Inputs

all of outputs/analysis/*.json
outputs/cleaned/cleaning_run.json
outputs/charts_rendered.json

Outputs

report.md -- full report, 6 sections + 4 appendices
executive_summary.md -- one page, same numbers
report.pdf -- A4, CJK-capable, page numbers, table of contents
report_build.json -- provenance for every number, PDF backend trail, self-audit

Commands

powershell
python scripts/assemble_report.py --raw <raw.csv> --outdir outputs --title "<title>"

Gate (default FAIL)

every number in the prose appears in the provenance table;
every forbidden construction is absent outside a disclaimer;
the PDF cascade records which backend ran and why earlier tiers were skipped;
report.md is complete even when the PDF is BLOCKED.

Failure modes seen in real runs

Self-referential hash. A document cannot contain its own sha256; the report points at report_build.json instead of printing a stale value.
A PDF backend that "works" but drops images. The browser tier embeds images as data URIs because file:// sandboxing silently loses them.
A missing CJK font rendered as black boxes. The reportlab tier falls back to a CID font and records whether it was embedded.

Do not

do not type a number into the report that was not read from an artifact;
do not treat a BLOCKED PDF as success -- the markdown is complete, the deliverable is not;
do not duplicate the executive summary's argument in the full report with different wording.

Upstream / downstream

previous: ../visualizer/SKILL.md
next: ../data-validator/SKILL.md
templates: ../../references/report-template-catalog.md

Frequently asked questions

What does the Report Generator AI skill do?

Assemble report.md, executive_summary.md and report.pdf from the artifacts. Every number is registered against its source; the PDF is the primary deliverable and the Markdown is the citable source.

Why use Report Generator on TypingMind?

Because you install it once and use it with any model. Report Generator is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Report Generator in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/MAGA2010/data-master/tree/main/skills/report-generator. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Report Generator?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Report Generator?

As many as you like. As long as a model supports skills, you can use Report Generator with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Report Generator AI skill free?

Yes. It is published on GitHub by MAGA2010 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

report-generator

When to invoke

Inputs

Outputs

Commands

Gate (default FAIL)

Failure modes seen in real runs

Do not

Upstream / downstream

Frequently asked questions

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