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Paste

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coreyhaines31
paste

When you want to clean and reformat content (usually from your terminal) for pasting into Slack, Notion, Twitter/X, LinkedIn, email, GitHub, or plain text. Strips ANSI codes, box-drawing chars, terminal prompt artifacts, and applies destination-specific formatting. Default input is the system clipboard; default output is both the clipboard and a chat preview. Triggers on "/paste", "/paste [destination]", "clean this for X," "format for slack/notion/twitter/linkedin/email/github," "render as markdown," "paste-ready," "strip formatting," "make this copy-pastable." Default destination is plain. Also scans for secrets (API keys, tokens, .env values) and warns before copying anything sensitive.

Overview

Publishercoreyhaines31
Repositorymakerskills
Skill namepaste
Stars
855
Forks
71
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 coreyhaines31 on GitHub. Read the source before you install it.

Installation

Install the Paste 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/coreyhaines31/makerskills/tree/main/skills/paste
  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/coreyhaines31/makerskills.git /tmp/makerskills
mkdir -p .claude/skills
cp -r /tmp/makerskills/skills/paste .claude/skills/paste
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Paste 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 Paste 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 Paste 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.

/paste — Clean content for any destination

Cleans terminal output (ANSI, box-drawing, prompt artifacts, etc.) and reformats per destination rules. Reads clipboard by default, writes back to clipboard + previews in chat.

Step 1 — Get the content

In order:

  1. If the user included content in the prompt (pasted, or referenced from earlier in the conversation), use that.
  2. Else, read the clipboard (commands below).
  3. If both empty, ask the user what to paste.

Clipboard commands by platform (read / write):

PlatformReadWrite
macOSpbpastepbcopy < "$f"
Linux (Wayland)wl-paste -nwl-copy < "$f"
Linux (X11)xclip -selection clipboard -oxclip -selection clipboard < "$f"
Windowspowershell Get-Clipboard -Rawpowershell "Get-Content -Raw '$f' | Set-Clipboard"

$f is the temp file from the write procedure in Step 6. Always copy from a file, never from a heredoc or echo.

No clipboard (a remote, headless, or chat-bot agent): skip the clipboard, take content from the prompt, and return the cleaned text in a code fence.

Step 2 — Parse destination

InvocationDestination
/pasteplain (default)
/paste plainplain
/paste slackslack
/paste notionnotion
/paste twitter or /paste xtwitter
/paste linkedin or /paste lilinkedin
/paste emailemail (plain)
/paste email rich or /paste email htmlemail (rich/HTML)
/paste github or /paste ghgithub
/paste markdown or /paste mdmarkdown render
/paste htmlrender to HTML file + open in browser

If ambiguous, ask. Per-destination rules live in references/destinations.md.

Step 3 — Scan for secrets

Before any cleaning or copying, scan against patterns in references/secret-patterns.md.

If any match:

  1. Stop. Don't copy yet.
  2. Report what was detected with the value masked (first 4 + last 4 chars only — e.g. sk-12...wxyz).
  3. Ask: "Spotted [type] in the content. Continue, redact (replace with [REDACTED]), or abort?"
  4. Default to abort if no clear answer.

Step 4 — Universal cleaning

Strip from the content:

  • ANSI escape codes — \x1b\[[0-9;]*[a-zA-Z] and related (color codes, cursor movement, screen control)
  • Box-drawing chars — ╭ ─ ╮ │ ╰ ╯ ╞ ╡ ╤ ╧ ┌ ┐ └ ┘ ├ ┤ ┬ ┴ ┼ ━ ┃ ┏ ┓ ┗ ┛ etc. Replace with simpler equivalents (-, |) or remove entirely depending on context.
  • Terminal prompt artifacts — leading $ , > , ❯ , % , # (when first non-whitespace on a line that looks like a shell prompt)
  • Carriage returns (\r) — replace with \n or delete
  • Trailing whitespace per line
  • Excess blank lines — collapse 3+ consecutive blank lines to 2

Step 5 — Apply destination rules

Read references/destinations.md and apply the relevant transform.

Step 6 — Output

Clipboard write procedure (every destination that writes to the clipboard):

  1. Write the cleaned content to a temp file with your agent's file-write tool, e.g. /tmp/paste-<slug>.txt. Never pipe it through a shell heredoc or echo: agent harnesses can hard-wrap heredocs (~70 chars) and indent every line, so the paste comes out broken while the chat looks fine.
  2. Copy from the file with the write command from Step 1.
  3. Verify the round trip. Read the clipboard back and compare it to the file, e.g. pbpaste | cmp -s - "$f" && echo match (swap in the platform's read command; on Windows, powershell "(Get-Clipboard -Raw) -eq (Get-Content -Raw '$f')"). On a mismatch, report it and fall back to showing the text in a code fence.
  4. Build the chat preview from what you read back, not from what you meant to copy. A preview from memory is how a mangled copy ships looking clean.
  5. Delete the temp file once verified. It can hold anything the user copied, including text the secret scan let through.
DestinationOutput behavior
plain / slack / notion / twitter / linkedin / email / github(a) Show preview in a code fence in chat. (b) Clipboard write procedure above; preview comes from the read-back.
email richRender to HTML, write to /tmp/paste-<timestamp>.html, open it in the browser (open on macOS, xdg-open on Linux, start on Windows). Skip clipboard (the user copies from browser to preserve rich text).
markdownRender the cleaned markdown directly in chat (most agent UIs render it). Also copy raw markdown to the clipboard via the write procedure. Offer: "Open as HTML too?" — if yes, write and open.
htmlRender to HTML, write to /tmp/paste-<timestamp>.html, open it in the browser. Skip clipboard.

After output, report a one-line summary of what was cleaned (e.g., "Stripped 12 ANSI codes, 4 box-drawing chars, 1 prompt artifact. Character count: 248 / 280 (X). Clipboard round-trip verified.").

Length warnings

Twitter and LinkedIn have practical limits. the user said "let me trim" — don't refuse or auto-truncate.

  • Twitter/X: warn if >280 chars. Note the overage.
  • LinkedIn: warn if >400 chars (comfort line, not hard limit).
  • Other destinations: no length warning.

URL handling for social destinations

If the content has URLs and destination is twitter or linkedin:

  • Surface the URLs separately (don't include them in the body)
  • Remind the user: links go in a first comment (LinkedIn) or reply (X), not the body
  • See makerskills:jab-hook and feedback_social_link_placement.md in your memory store (your agent's memory, or ${MAKERSKILLS_MEMORY:-${MAKERSKILLS_CONFIG:-$HOME/.config/makerskills}/memory}/)

Examples

/paste slack

→ Reads clipboard, strips ANSI, converts **bold** to *bold*, copies to clipboard, shows preview.

/paste twitter
[pasted error log]

→ Uses pasted content (ignores clipboard), strips everything, warns at 412/280 chars, copies, asks if the user wants to trim or pick a different destination.

/paste html
[pasted markdown table]

→ Renders table as HTML, opens in browser. the user selects + copies into Notion/email with formatting preserved.

/paste
[pasted output with sk-anthropic-key in it]

→ Stops. "Spotted what looks like an Anthropic API key: sk-an...3kf9. Continue, redact, or abort?"

Composes with

  • jab-hook — clean output for pasting into Typefully drafts when the MCP path doesn't fit; also enforces the link-placement rule for X/LinkedIn destinations
  • social-fetch — clean a fetched post before quoting it in a draft or newsletter
  • second-brain — paste output can be captured cleanly into raw/note-<slug>.md for future compilation
  • watch-video — transcript / summary output often flows through paste for platform-specific reformatting

Notes on quality

  • The clipboard write procedure is not optional. File → copy from file → read back and compare → preview from the read-back. Origin: 2026-07-31, a heredoc-piped copy shipped hard-wrapped and indented while the chat preview looked clean; the user caught it, not the verification.
  • Secret detection runs first, always. Before any formatting or destination logic, paste scans for sk-*, AKIA*, xoxb-*, JWT-shaped strings, and long-hex tokens. Prompts before proceeding on any hit. Better to false-positive occasionally than to leak a real key.
  • Destination-aware transforms, not one-size-fits-all. Slack wants *bold*; LinkedIn wants unicode-styled bold; email wants HTML. Same input, 9 different valid outputs. The destination flag is not optional.
  • ANSI codes get stripped for every destination. Terminal escapes (\033[31m etc.) render as garbage everywhere except the source terminal.
  • Character limits are enforced, not warnings. X at 280, LinkedIn at 3000, Twitter at 25000 — paste refuses to copy over-limit output and offers a trim strategy.
  • Links go in first comments for social destinations — not the body. Enforced when destination is twitter or linkedin. Documented in feedback_social_link_placement.md in your memory store.
  • HTML destination opens in a browser tab, not the clipboard. Formatted tables + code blocks need a rendered surface to select-and-copy from with formatting preserved. Copying raw HTML to the clipboard produces garbage in Notion/email.

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 Paste AI skill do?

When you want to clean and reformat content (usually from your terminal) for pasting into Slack, Notion, Twitter/X, LinkedIn, email, GitHub, or plain text. Strips ANSI codes, box-drawing chars, terminal prompt artifacts, and applies destination-specific formatting. Default input is the system clipboard; default output is both the clipboard and a chat preview. Triggers on "/paste", "/paste [destination]", "clean this for X," "format for slack/notion/twitter/linkedin/email/github," "render as markdown," "paste-ready," "strip formatting," "make this copy-pastable." Default destination is plain...

Why use Paste on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/coreyhaines31/makerskills/tree/main/skills/paste. 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 Paste?

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 Paste?

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

Is the Paste AI skill free?

Yes. It is published on GitHub by coreyhaines31 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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