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Paperclip Page

OrganizationPopular
paperclipai
paperclip-page

Publish static HTML pages and asset folders to the Paperclip S3/CloudFront page host. Use when asked to deploy, host, or share a persistent page, viewer, prototype, report, or static site without here.now.

Overview

Publisherpaperclipai
Repositorypaperclip
Skill namepaperclip-page
Stars
95.4K
Forks
16.2K
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 paperclipai on GitHub. Read the source before you install it.

Installation

Install the Paperclip Page 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/paperclipai/paperclip/tree/master/.agents/skills/paperclip-page
  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/paperclipai/paperclip.git /tmp/paperclip
mkdir -p .claude/skills
cp -r /tmp/paperclip/.agents/skills/paperclip-page .claude/skills/paperclip-page
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paperclip Page 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 Paperclip Page 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 Paperclip Page 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.

Paperclip Page

Use this skill to publish a static directory to the configured Paperclip pages host, for example https://pages.paperclip.ing/<slug>/.

Requirements

  • Source directory contains index.html at its root.
  • aws CLI v2, curl, and jq are available on PATH for live publishes.
  • Environment variables are configured:
    • PAPERCLIP_PAGE_BUCKET
    • PAPERCLIP_PAGE_BASE_URL
    • AWS_REGION
    • PAPERCLIP_PAGE_AWS_ACCESS_KEY_ID and PAPERCLIP_PAGE_AWS_SECRET_ACCESS_KEY with the page-uploader credentials from Paperclip Secrets
  • Optional environment variables:
    • PAPERCLIP_PAGE_DEFAULT_PREFIX
    • PAPERCLIP_PAGE_AWS_PROFILE (alternative to the namespaced key pair)
    • PAPERCLIP_PAGE_AWS_SESSION_TOKEN (only together with the namespaced key pair)

Do not bind the page-uploader credentials as global AWS_ACCESS_KEY_ID / AWS_SECRET_ACCESS_KEY: static env keys take precedence over AWS_PROFILE in every AWS SDK, so global names silently replace the host identity for every process in the agent run. The namespaced variables scope the uploader identity to this helper only. The ambient credential chain still works as a fallback when none of the PAPERCLIP_PAGE_AWS_* credential variables are set.

Workflow

  1. Inspect the source directory and confirm it is public static content only.
  2. Run scripts/publish.sh <dir> --dry-run to validate local structure and see the resolved URL/prefix.
  3. Choose a slug:
    • Use --slug <slug> when the user gave a stable URL path.
    • Omit --slug to derive one from the source directory name.
  4. Publish:
bash
.agents/skills/paperclip-page/scripts/publish.sh ./site --slug my-page
  1. Return the printed public URL and S3 prefix to the issue/user.

Update Workflow

Updates are additive overwrites only. The helper never deletes remote objects.

bash
.agents/skills/paperclip-page/scripts/publish.sh ./site --slug my-page --update

When the target prefix already exists, --update requires local ownership proof from ./site/.paperclip-page/state.json generated by an earlier publish from that same source directory. Without that state, create a new slug instead of overwriting another page.

Safety Rules

  • Publish public content only. Do not publish secrets, customer data, private company material, credentials, or internal logs.
  • Never print AWS secret values.
  • Never change bucket policy, IAM, DNS, CloudFront, or ACM settings from this skill. Setup belongs to an operator runbook, not the publish helper.
  • Never upload outside the configured bucket and prefix.
  • Never use aws s3 sync --delete or require s3:DeleteObject in v1.
  • The helper forces --no-follow-symlinks and fails if any source symlink is present.
  • The helper rejects hidden files and dot-segment paths except its own .paperclip-page/state.json.
  • Slugs and prefix segments must use lowercase ASCII letters, digits, and hyphens only.
  • Keep site-wide root objects such as 404.html operator-managed; publishes always target <slug>/... or <default-prefix>/<slug>/....

Troubleshooting

  • Slug already exists: choose a different slug or use --update from the original source directory containing .paperclip-page/state.json.
  • Missing index.html: build the static site first or point the helper at the directory that contains the root HTML file.
  • Found symlink: replace symlinks with real files before publishing.
  • AccessDenied: confirm the uploader IAM policy allows ListBucket, GetObject, and PutObject for the configured bucket/prefix, and that the agent received the Paperclip Secrets.
  • Public URL verification failed: check CloudFront deployment/DNS, object existence, and that the distribution uses HTTPS with the private S3 REST origin.

See README.md next to this skill for operator setup, AWS policy examples, credential rotation, and install/attach commands.

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 Paperclip Page AI skill do?

Publish static HTML pages and asset folders to the Paperclip S3/CloudFront page host. Use when asked to deploy, host, or share a persistent page, viewer, prototype, report, or static site without here.now.

Why use Paperclip Page on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/paperclipai/paperclip/tree/master/.agents/skills/paperclip-page. 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 Paperclip Page?

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 Paperclip Page?

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

Is the Paperclip Page AI skill free?

Yes. It is published on GitHub by paperclipai 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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