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Shortform Format Library

CommunityPopular
ericosiu
shortform-format-library

Build and maintain a visual short-form format library, evaluate supplied content spikes, and match source-grounded ideas to recording outlines and editing briefs. Use for format discovery, refreshing a swipe page, ranking a content table, or preparing a format-library lead magnet.

Overview

Publisherericosiu
Repositoryai-marketing-skills
Skill nameshortform-format-library
Stars
3.5K
Forks
685
Bundled files
8
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.

  • 8 bundled files

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

  • Open source

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

Installation

Install the Shortform Format Library 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.
  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/ericosiu/ai-marketing-skills.git /tmp/ai-marketing-skills
mkdir -p .claude/skills
cp -r /tmp/ai-marketing-skills/shortform-format-library .claude/skills/shortform-format-library
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Shortform Format Library 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 Shortform Format Library 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 Shortform Format Library 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.

Shortform Format Library

Help a creator move from an idea to a usable delivery structure. Keep source evidence, editorial interpretation, and the creator's own results distinct.

When running inside AI Marketing Skills, use the repository's optional version check and telemetry conventions in repository integration. Standalone use must work without that repository.

Choose the requested work

  1. Read the existing library, audience, creator roster, source policy, and supplied ideas or analytics before changing anything. Preserve the user's current page and saved outline IDs. Resolve the exact library and publishing destination from user context; do not substitute another account.
  2. For content spikes or discovery, read research and learning. Analyze supplied evidence before selecting candidates. If an attachment is absent, say so and continue independent work; never invent its contents.
  3. For ideas and format selection, use the default content table below, including a separate Watch reference column. Keep the idea source separate from the video demonstrating its format. A hook is proposed copy unless verified as an exact quotation. Keep new recordings separate from existing cutdowns and refresh angles. Score only when requested or required by the user's established workflow; label editorial scores as judgments.
  4. For a visual page, read page and data contract. Let users enter an idea or select a supplied one, compare two relevant format references, and turn the chosen structure into an editable three-prompt outline. Match by the available proof, story, recording effort, and audience, not trendiness alone.
  5. For editing or lead delivery, read production and delivery. Produce a renderer-neutral brief first; map only verified capabilities to a selected editor. Reuse manychat-ig-lead-magnet when available for comment-to-access delivery. Its absence does not prevent drafting copy and a handoff.
  6. Verify the changed artifact and report what changed, source coverage, evidence limits, and any missing input. Building a page does not refresh its sources or activate a background job.

Default content table

Use this column order unless the user requests a different layout:

PriorityIdea / proposed hookIdea sourceSuggested formatWatch referenceThree talking promptsVisual payoff / claim limitCTA
  • Idea source: link to the owned video, artifact, or evidence supporting the idea; include a timestamp when available. Label an original premise as such.
  • Watch reference: link directly to the specific reference video using the creator and format name as the label. A profile, search page, or unrelated idea-source link is not a substitute.
  • Pick one default format and reference so the creator and editor know what to make. An optional alternative must be clearly labeled.
  • Keep exactly three concise talking prompts in each row. Carry the same chosen reference URL into the editor handoff and identify what to borrow: delivery, layout, pacing, or proof order.
  • If a suitable reference has not been verified, write Reference needed and state what is missing. Do not invent a URL or imply full-video review from a cover alone.

Preserve the workflow boundaries

  • Extract structures rather than copying another creator's distinctive wording, story, or footage. Credit and link reference posts.
  • Inspect the full relevant sequence before describing full-video pacing or format. A cover supports composition only. Label caption, spoken, and on-screen hooks separately.
  • Every content idea needs a source or a clearly requested original premise, a filmable payoff, and a claim boundary. Do not convert an AI prototype, preference, forecast, or proposed test into a measured result.
  • A recent reference is not automatically an outlier. A creator-relative outlier is not proof that a format caused performance. Target-account results are a separate evidence layer.
  • Preserve raw observations and old format definitions. Archive or lower priority without breaking saved drafts. Opening the page, rebuilding, or a failed fetch must not advance source check dates.
  • Refresh schedules, publishing, paid rendering, and live lead delivery are separate operations. Follow the user's actual authorization for each; a research request alone does not enable them. Existing explicit authorization remains valid within its scope.
  • Keep private drafts, client information, internal metrics, raw research media, and local paths out of public skill packages and public pages. Public skills contain reusable instructions and fictional examples.

Useful skill handoffs

Use installed skills when their capability fits: creator-pattern-copier for source analysis, shortform-idea-grill for deeper idea intake, natural-yapping-shortform for conversational delivery, and shortform-production or the configured renderer for production. Preserve this task's requested scope rather than importing an unrelated full pipeline. The references below provide a standalone workflow when these skills are absent.

Completion evidence

For research: the source inventory, comparisons, and limitations. For a table: distinct idea-source and reference-video links, one default format, three specific prompts, and honest proof limits. For a page: loaded images, working filters/source links, saved draft reload, export content, and phone readability. For an edit: the actual review render and source alignment. For publishing or merging: the target system's readback, not a queued operation.

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 Shortform Format Library AI skill do?

Build and maintain a visual short-form format library, evaluate supplied content spikes, and match source-grounded ideas to recording outlines and editing briefs. Use for format discovery, refreshing a swipe page, ranking a content table, or preparing a format-library lead magnet.

Why use Shortform Format Library on TypingMind?

Because you install it once and use it with any model. Shortform Format Library 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 Shortform Format Library in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ericosiu/ai-marketing-skills/tree/main/shortform-format-library. 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 Shortform Format Library?

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 Shortform Format Library?

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

Is the Shortform Format Library AI skill free?

Yes. It is published on GitHub by ericosiu 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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