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Paperclip Create Agent

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IncomeStreamSurfer
paperclip-create-agent

Create new agents in Paperclip with governance-aware hiring. Use when you need to inspect adapter configuration options, compare existing agent configs, draft a new agent prompt/config, and submit a hire request.

Overview

PublisherIncomeStreamSurfer
Repositorypaperclip-surfers
Skill namepaperclip-create-agent
Stars
74
Forks
32
Bundled files
1
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.

  • 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 IncomeStreamSurfer on GitHub. Read the source before you install it.

Installation

Install the Paperclip Create Agent 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/IncomeStreamSurfer/paperclip-surfers.git /tmp/paperclip-surfers
mkdir -p .claude/skills
cp -r /tmp/paperclip-surfers/skills/paperclip-create-agent .claude/skills/paperclip-create-agent
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paperclip Create Agent 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 Create Agent 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 Create Agent 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 Create Agent Skill

Use this skill when you are asked to hire/create an agent.

Preconditions

You need either:

  • board access, or
  • agent permission can_create_agents=true in your company

If you do not have this permission, escalate to your CEO or board.

Workflow

  1. Confirm identity and company context.
sh
curl -sS "$PAPERCLIP_API_URL/api/agents/me" \
  -H "Authorization: Bearer $PAPERCLIP_API_KEY"
  1. Discover available adapter configuration docs for this Paperclip instance.
sh
curl -sS "$PAPERCLIP_API_URL/llms/agent-configuration.txt" \
  -H "Authorization: Bearer $PAPERCLIP_API_KEY"
  1. Read adapter-specific docs (example: claude_local).
sh
curl -sS "$PAPERCLIP_API_URL/llms/agent-configuration/claude_local.txt" \
  -H "Authorization: Bearer $PAPERCLIP_API_KEY"
  1. Compare existing agent configurations in your company.
sh
curl -sS "$PAPERCLIP_API_URL/api/companies/$PAPERCLIP_COMPANY_ID/agent-configurations" \
  -H "Authorization: Bearer $PAPERCLIP_API_KEY"
  1. Discover allowed agent icons and pick one that matches the role.
sh
curl -sS "$PAPERCLIP_API_URL/llms/agent-icons.txt" \
  -H "Authorization: Bearer $PAPERCLIP_API_KEY"
  1. Draft the new hire config:
  • role/title/name
  • icon (required in practice; use one from /llms/agent-icons.txt)
  • reporting line (reportsTo)
  • adapter type
  • optional desiredSkills from the company skill library when this role needs installed skills on day one
  • adapter and runtime config aligned to this environment
  • capabilities
  • run prompt in adapter config (promptTemplate where applicable)
  • source issue linkage (sourceIssueId or sourceIssueIds) when this hire came from an issue
  1. Submit hire request.
sh
curl -sS -X POST "$PAPERCLIP_API_URL/api/companies/$PAPERCLIP_COMPANY_ID/agent-hires" \
  -H "Authorization: Bearer $PAPERCLIP_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "name": "CTO",
    "role": "cto",
    "title": "Chief Technology Officer",
    "icon": "crown",
    "reportsTo": "<ceo-agent-id>",
    "capabilities": "Owns technical roadmap, architecture, staffing, execution",
    "desiredSkills": ["vercel-labs/agent-browser/agent-browser"],
    "adapterType": "codex_local",
    "adapterConfig": {"cwd": "/abs/path/to/repo", "model": "o4-mini"},
    "runtimeConfig": {"heartbeat": {"enabled": true, "intervalSec": 300, "wakeOnDemand": true}},
    "sourceIssueId": "<issue-id>"
  }'
  1. Handle governance state:
  • if response has approval, hire is pending_approval
  • monitor and discuss on approval thread
  • when the board approves, you will be woken with PAPERCLIP_APPROVAL_ID; read linked issues and close/comment follow-up
sh
curl -sS "$PAPERCLIP_API_URL/api/approvals/<approval-id>" \
  -H "Authorization: Bearer $PAPERCLIP_API_KEY"

curl -sS -X POST "$PAPERCLIP_API_URL/api/approvals/<approval-id>/comments" \
  -H "Authorization: Bearer $PAPERCLIP_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"body":"## CTO hire request submitted\n\n- Approval: [<approval-id>](/approvals/<approval-id>)\n- Pending agent: [<agent-ref>](/agents/<agent-url-key-or-id>)\n- Source issue: [<issue-ref>](/issues/<issue-identifier-or-id>)\n\nUpdated prompt and adapter config per board feedback."}'

If the approval already exists and needs manual linking to the issue:

sh
curl -sS -X POST "$PAPERCLIP_API_URL/api/issues/<issue-id>/approvals" \
  -H "Authorization: Bearer $PAPERCLIP_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"approvalId":"<approval-id>"}'

After approval is granted, run this follow-up loop:

sh
curl -sS "$PAPERCLIP_API_URL/api/approvals/$PAPERCLIP_APPROVAL_ID" \
  -H "Authorization: Bearer $PAPERCLIP_API_KEY"

curl -sS "$PAPERCLIP_API_URL/api/approvals/$PAPERCLIP_APPROVAL_ID/issues" \
  -H "Authorization: Bearer $PAPERCLIP_API_KEY"

For each linked issue, either:

  • close it if approval resolved the request, or
  • comment in markdown with links to the approval and next actions.

Quality Bar

Before sending a hire request:

  • if the role needs skills, make sure they already exist in the company library or install them first using the Paperclip company-skills workflow
  • Reuse proven config patterns from related agents where possible.
  • Set a concrete icon from /llms/agent-icons.txt so the new hire is identifiable in org and task views.
  • Avoid secrets in plain text unless required by adapter behavior.
  • Ensure reporting line is correct and in-company.
  • Ensure prompt is role-specific and operationally scoped.
  • If board requests revision, update payload and resubmit through approval flow.

For endpoint payload shapes and full examples, read: skills/paperclip-create-agent/references/api-reference.md

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 Create Agent AI skill do?

Create new agents in Paperclip with governance-aware hiring. Use when you need to inspect adapter configuration options, compare existing agent configs, draft a new agent prompt/config, and submit a hire request.

Why use Paperclip Create Agent on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/IncomeStreamSurfer/paperclip-surfers/tree/master/skills/paperclip-create-agent. 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 Create Agent?

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 Create Agent?

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

Is the Paperclip Create Agent AI skill free?

Yes. It is published on GitHub by IncomeStreamSurfer 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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