Shortform Idea Grill logo

Shortform Idea Grill

CommunityPopular
ericosiu
shortform-idea-grill

Interview a founder or senior marketer one question at a time, mine current work and owned proof for net-new short-form video ideas, and return a ranked table with one five-second overlay hook, virality and three-second-hook scores, exactly three talking bullets, a complete payoff, and a mapped CTA. Use for Instagram Reels, TikTok, YouTube Shorts, LinkedIn video, founder-led content planning, hook development, content-day production queues, or turning active AI, marketing, and operating work into credible short-form concepts.

Overview

Publisherericosiu
Repositoryai-marketing-skills
Skill nameshortform-idea-grill
Stars
3.5K
Forks
685
Bundled files
7
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.

  • 7 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 Idea Grill 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-idea-grill .claude/skills/shortform-idea-grill
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Shortform Idea Grill 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 Idea Grill 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 Idea Grill 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 Idea Grill

Turn current work into success-led videos that earn attention quickly and fully repay the opening promise.

Load the right context

Inspect supplied chats, briefs, transcripts, analytics, creator research, offers, and prior content before asking questions. Prefer work from the current week and ideas not already published.

Read:

  • references/intake-schema.md before interviewing.
  • references/output-contract.md before drafting.
  • references/scoring-rubric.md before scoring.
  • references/ideas-schema.md when saving machine-readable output.

Do not ask for information already present. Distinguish live evidence from remembered context.

Interview one question at a time

Resolve these items in order:

  1. desired outcome;
  2. target viewer and relevant moment;
  3. owned proof and measurable results;
  4. current builds, experiments, opinions, and predictions;
  5. claim boundaries;
  6. CTA and destination;
  7. available screens, artifacts, and recording constraints.

Ask only the single question most likely to improve the queue. Let the user answer freely, then press for numbers, mechanisms, examples, or proof. Stop when further interviewing would not materially change the ranking.

If essential context is missing, return needs_intake with the next question and a recommended answer. A provisional slate may continue only when labeled.

Generate net-new candidates

Mine active work rather than recycling old videos. Cover at least five evidence-supported lanes:

  • money created;
  • money saved;
  • productive capacity created;
  • proof-led workflow demonstration;
  • contrarian operating belief;
  • timely prediction;
  • founder lesson or corrected failure;
  • teardown, comparison, or myth correction.

Reject any idea without a specific viewer, credible proof path, useful payoff, or filmable treatment.

Prefer success language. A failure may establish tension, but the video must resolve into a useful mechanism, result, or decision.

Write hooks that can be repaid

Write one strongest five-second overlay per idea. It must:

  • communicate the premise in the first three seconds;
  • use a number, result, contrast, or consequential verdict when justified;
  • remain visible for roughly five seconds;
  • avoid unsupported certainty;
  • lead directly to the promised demonstration or explanation.

For number hooks, specify the evidence behind the number. For “how I” hooks, show the workflow. For predictions, separate observed evidence from the forecast.

Produce the exact table

Return the table defined in references/output-contract.md. Unless the user asks otherwise, do not add extra strategy sections before it.

Every row must include exactly three concise yap bullets. Make them a natural spoken sequence:

  1. context or stakes;
  2. mechanism or tactic;
  3. result, lesson, or application.

Put the proof requirement, source link, and claim caveat inside Complete payoff / proof so the visible table remains stable.

Score and rank

Score virality and three-second hook independently from 1.0–10.0 using references/scoring-rubric.md. Scores are production-priority judgments, not view forecasts.

Rank by expected usefulness to the target viewer, evidence strength, hook clarity, and business relevance. Break close ties with the user’s stated outcome hierarchy. Preserve topic variety when the top scores are nearly identical.

When saving JSON, run:

bash
python3 scripts/score_ideas.py ideas.json --output ideas-scored.json
python3 scripts/score_ideas.py ideas-scored.json --validate-only

CTA rules

Map each idea to the narrowest natural next step. Use the user’s configured keyword and destination when available. Do not force a lead magnet onto a topic whose payoff is broader education.

Final checks

Before handoff, verify:

  • every idea is net-new or explicitly marked as a refreshed angle;
  • every hook has a complete payoff;
  • every row has exactly three bullets;
  • every numerical claim has a proof path or verification caveat;
  • every source link points to the real basis, not a search result;
  • CTAs use the configured keyword and destination;
  • the table is sorted by recording priority;
  • public output contains no private names, metrics, paths, customer data, or connector details unless the user supplied them for that output.

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 Idea Grill AI skill do?

Interview a founder or senior marketer one question at a time, mine current work and owned proof for net-new short-form video ideas, and return a ranked table with one five-second overlay hook, virality and three-second-hook scores, exactly three talking bullets, a complete payoff, and a mapped CTA. Use for Instagram Reels, TikTok, YouTube Shorts, LinkedIn video, founder-led content planning, hook development, content-day production queues, or turning active AI, marketing, and operating work into credible short-form concepts.

Why use Shortform Idea Grill on TypingMind?

Because you install it once and use it with any model. Shortform Idea Grill 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 Idea Grill in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ericosiu/ai-marketing-skills/tree/main/shortform-idea-grill. 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 Idea Grill?

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 Idea Grill?

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

Is the Shortform Idea Grill 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇