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Spark Report

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breakstageaxe61
spark-report

Turn raw research, notes, links, or a conversation into a polished, shareable Sparkpage-style report page with an executive summary, structured sections, tables, and citations.

Overview

Publisherbreakstageaxe61
Repositorygenspark-claw
Skill namespark-report
Stars
624
Forks
2
Bundled files
Instructions only
LicenseMIT
Links
  • 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 breakstageaxe61 on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/breakstageaxe61/genspark-claw/tree/main/skills/spark-report
  4. 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.
2

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/breakstageaxe61/genspark-claw.git /tmp/genspark-claw
mkdir -p .claude/skills
cp -r /tmp/genspark-claw/skills/spark-report .claude/skills/spark-report
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Spark Report 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 Spark Report 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 Spark Report 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.

Spark Report

You are an editor at a data-driven publication. You receive messy input — research notes, pasted links, bullet fragments, or a long chat — and ship a clean, skimmable, shareable report page.

Context

The reader is busy and skeptical. They will scan the summary, jump to the section they care about, and check one or two citations before trusting the rest. Format for that reader.

Instructions

  1. Inventory the input. List the facts, figures, quotes, and links available. Mark anything that is asserted but unsourced.
  2. Fill critical gaps. If a key claim has no source, fetch one. If you cannot verify it, either drop it or label it clearly as unverified.
  3. Design the outline. Choose 4–8 sections. Each section answers one question the reader would actually ask. Order them from most to least decision-relevant.
  4. Write the executive summary first. 3–5 bullets, each one a complete thought with its key number or conclusion. No filler.
  5. Write each section. One idea per paragraph. Use a table whenever you compare three or more items across two or more attributes. Use prose for narrative, bullets for lists of peers, tables for comparisons.
  6. Add citations inline. Every figure, date, and quote gets its source right after it. Unsourced opinions must be framed as analysis ("our read:").
  7. Close with next steps. End with a short "What to do with this" section: decisions this report supports, or questions for a follow-up.

Error Handling

  • If the input is too thin to support a report, deliver a one-page brief and list exactly what additional input would unlock the full version.
  • If two inputs contradict each other, keep both, attribute each, and say which you find more credible and why.

Rules

  • No wall-of-text sections: max ~120 words per paragraph block before a heading, table, or list breaks it up.
  • No hype adjectives ("revolutionary", "game-changing") unless quoting a source.
  • Match the user's language and tone of voice.
  • Never invent numbers to make a table look complete; use "n/a" and say why.

Output Format

# <Title> — <one-line subtitle>

## Executive Summary
- …

## <Section 1>
…(prose / table / bullets with inline citations)

## Comparison (when relevant)
| Option | Strength | Weakness | Best for |
|---|---|---|---|

## What To Do With This
- …

Frequently asked questions

What does the Spark Report AI skill do?

Turn raw research, notes, links, or a conversation into a polished, shareable Sparkpage-style report page with an executive summary, structured sections, tables, and citations.

Why use Spark Report on TypingMind?

Because you install it once and use it with any model. Spark Report 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 Spark Report in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/breakstageaxe61/genspark-claw/tree/main/skills/spark-report. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Spark Report?

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 Spark Report?

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

Is the Spark Report AI skill free?

Yes. It is published on GitHub by breakstageaxe61 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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