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Summarization

Community
Rylaispirit
summarization

Create accurate summaries of documents, articles, meetings, research, code changes, or multiple sources as briefs, key points, actions, or catch-up notes.

Overview

PublisherRylaispirit
Repositoryrylai-codex-hermes-skills
Skill namesummarization
Stars
63
Forks
42
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by Rylaispirit on GitHub. Read the source before you install it.

Installation

Install the Summarization 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/Rylaispirit/rylai-codex-hermes-skills/tree/main/skills/summarization
  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/Rylaispirit/rylai-codex-hermes-skills.git /tmp/rylai-codex-hermes-skills
mkdir -p .claude/skills
cp -r /tmp/rylai-codex-hermes-skills/skills/summarization .claude/skills/summarization
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Summarization 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 Summarization 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 Summarization 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.

Summarization

Reduce reading time while preserving the source's meaning, evidence, decisions, uncertainty, and useful detail.

Runtime Compatibility

  • Resolve bundled files relative to this skill directory.
  • Use tools available in the active runtime to read the actual source material.
  • Do not claim full coverage of inaccessible, truncated, or unsupported input.
  • Verify extraction quality when the source is a scan, recording, or complex file.

Intake

Infer these settings from the request and source:

  • audience;
  • purpose;
  • output length;
  • required format;
  • facts that must survive compression;
  • whether attribution to speakers or documents matters.

When the request is underspecified, choose a practical format and state the compression level in one short line.

Workflow

  1. Establish source boundaries

    • Identify every file, message range, URL, transcript, or diff included.
    • Note missing pages, failed extraction, inaudible segments, or truncation.
  2. Build a source map

    • Record the central claim or purpose.
    • Capture decisions, evidence, dates, quantities, people, risks, and open items.
    • Separate facts, opinions, proposals, and unresolved statements.
  3. Rank information

    • Keep what the target reader needs to decide, act, understand, or verify.
    • Remove repetition, scene-setting, and low-impact detail unless requested.
  4. Write the summary

    • Put the bottom line first.
    • Group related points rather than following source order mechanically.
    • Preserve qualifications that change the meaning of a claim.
  5. Audit against the source

    • Check names, figures, dates, units, ownership, and negation.
    • Confirm that no new conclusion was introduced.
    • Flag contradictions instead of silently resolving them.

Format Selection

Executive Brief

Use for reports, proposals, and decision material:

  • bottom line;
  • strongest evidence;
  • risks or uncertainty;
  • required decision;
  • next actions.

Technical Summary

Use for specifications, architecture, incidents, and code:

  • purpose and scope;
  • behavior or design;
  • interfaces and dependencies;
  • important decisions;
  • trade-offs and limitations;
  • breaking changes or follow-up work.

Meeting Or Conversation

Use for notes, chats, and email threads:

  • decisions;
  • action items with owner and due date when stated;
  • key reasoning;
  • disagreements;
  • unresolved questions.

Do not assign an owner or deadline that was not explicitly agreed.

Research Digest

Use for papers and analytical material:

  • research question;
  • method and sample;
  • main findings;
  • limitations;
  • implications.

Keep correlation, causation, statistical confidence, and author interpretation distinct.

Multi-Source Synthesis

  • Read all available sources before drafting.
  • Organize by theme or question.
  • Attribute disputed or source-specific claims.
  • Surface conflicts in dates, measurements, definitions, or conclusions.
  • Avoid presenting repeated claims as independent confirmation.

Compression Levels

  • Snapshot: one paragraph or a few bullets.
  • Brief: bottom line plus essential evidence and actions.
  • Detailed: structured coverage of all major sections and caveats.

Scale by information density and user need, not page count alone.

Output Rules

  • Do not invent context, intent, consensus, or causality.
  • Preserve exact numbers and dates when they affect meaning.
  • Use direct quotes only when wording itself matters and the source is available.
  • Mark uncertainty with precise language.
  • Distinguish source omissions from your own inability to access material.
  • Keep recommendations separate from the summary unless the user requests them.

Optional Templates

Load summary-templates.md when a reusable output skeleton will save time. Adapt the template to the source instead of filling empty sections mechanically.

Final Check

  • The opening states the most important conclusion or purpose.
  • All critical figures, decisions, and caveats match the source.
  • The summary is useful without pretending to replace unavailable evidence.
  • The length and terminology fit the intended reader.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Summarization AI skill do?

Create accurate summaries of documents, articles, meetings, research, code changes, or multiple sources as briefs, key points, actions, or catch-up notes.

Why use Summarization on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Rylaispirit/rylai-codex-hermes-skills/tree/main/skills/summarization. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Summarization?

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 Summarization?

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

Is the Summarization AI skill free?

Yes. It is published on GitHub by Rylaispirit 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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