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Continue Project

Organization
glifxyz
continue-project

Find the user's saved Glif project, show its media, and add new work to it without starting a separate project. Use when: "show my recent Glif projects", "open my last image", "keep going on that one", "make 5 variations to A/B test", "same but vertical", "make a version for TikTok", "resize it to every format", "same character in a new scene", "fix only the text", "fix scene 3", "next episode", "do another one like yesterday's".

Overview

Publisherglifxyz
Repositoryglif-mcp-server
Skill namecontinue-project
Stars
215
Forks
32
Bundled files
1
LicenseMIT
Links
Skill sourceRepositoryHomepage
  • 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.

  • 1 bundled files

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

  • Open source

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

Installation

Install the Continue Project 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/glifxyz/glif-mcp-server/tree/main/skills/continue-project
  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/glifxyz/glif-mcp-server.git /tmp/glif-mcp-server
mkdir -p .claude/skills
cp -r /tmp/glif-mcp-server/skills/continue-project .claude/skills/continue-project
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Continue Project 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 Continue Project 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 Continue Project 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.

Use this when the user wants to revisit or build on saved Glif work. The user's explicit instructions come first, within host safety rules.

  1. Find the project:
    • From a link or ID the user gives you.
    • Or with list_projects, paging with cursor only as far as needed. Read it with get_project. Set include_messages only when you need the history to understand the request. If several projects match, ask. If a project is missing or inaccessible, say so; do not guess other IDs or storage URLs.
  2. For a browse-only request, show the media links from get_project and stop. If the host renders Glif's viewer, view_media with the project_id (and optional asset_ids) reopens it there. Browsing never starts generation.
  3. If get_project shows an active job, the project is already working. Do not start another. Follow it with get_job_status only if this conversation started that job; otherwise share the project link.
  4. Work out what stays the same and what changes. Name the chosen media in the brief and keep the project's project_id. Do not re-upload existing media just to copy it. Common follow-ups, each phrased as one clear change:
    • Variations: "Make 4 variations of image 2 that change only the background." Keep the count small unless the user asks for more.
    • New format: "Same video, recomposed for 9:16 without cropping the subject."
    • Targeted fix: "Fix only the headline text to read '...'. Keep everything else identical."
    • Continuity: "Same character and style, new scene: ..." or "Next episode, same format and voice."
  5. If the user only asked to prepare a continuation, show the draft prompt and wait. Choosing media is not approval to spend.
  6. For a clear request to generate, note that it uses the account's Glif credits. Call compose_project with the project_id and the brief. Keep related outputs in one call. Leave intelligence unset so the project keeps its tier, unless the user asks to change it.
  7. Share the projectUrl. Call get_job_status with the jobId as job_id until the job finishes, and show new media as it arrives without repeats. Report the result or the failure. Never retry paid work on your own.

New work is added to the project. Originals stay untouched. Do not change account settings, buy credits or set up automatic generation while continuing a project.

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 Continue Project AI skill do?

Find the user's saved Glif project, show its media, and add new work to it without starting a separate project. Use when: "show my recent Glif projects", "open my last image", "keep going on that one", "make 5 variations to A/B test", "same but vertical", "make a version for TikTok", "resize it to every format", "same character in a new scene", "fix only the text", "fix scene 3", "next episode", "do another one like yesterday's".

Why use Continue Project on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/glifxyz/glif-mcp-server/tree/main/skills/continue-project. 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 Continue Project?

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 Continue Project?

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

Is the Continue Project AI skill free?

Yes. It is published on GitHub by glifxyz 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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