connect-tool
Skill16 starsChanged 12 days agoMITView on GitHub
Connect any tool (Notion, Stripe, ClickFunnels...) to every agent by installing its official CLI, or writing a one-file Python CLI over its API, then a global skill. Use for "connect-tool notion", "connect X", "make a CLI for X", "use my X API key".
- Installs packages
1 other project uses a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- Melvynx/ai-maxxing-skillsedited, first seen Oct 20, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 1
- Melvynx/ai-maxxing-skills★ 3299% same
Wrote their own version · 0
None found.
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository2 other files it gives its agents.
- setup-brainSkill
- skill-managerSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈0
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 12
Look for a CLI published by the vendor itself (their docs, domain, or GitHub org).
- Very specific: line 16
Write ~/.agents/skills/<tool>-cli/SKILL.md, under 30 lines, with only commands you ran or saw in --help or the docs.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Give the user's agents a new tool they can use from any folder, as a <tool>-cli skill. Talk to the user in their language, one short question at a time, no jargon.
If you got this skill from a link instead of a local folder, install nothing else from the repo: download a file it links only when a step needs it, with curl -fsSL https://raw.githubusercontent.com/Melvynx/ai-sprint-skills/main/skills/connect-tool/<path> -o <scratch>/<file> (for example scripts/cli_template.py), and read another skill it names only when you reach it, from https://raw.githubusercontent.com/Melvynx/ai-sprint-skills/main/skills/<skill-name>/SKILL.md.
- Confirm the tool (fix typos: "mtoin" is Notion). If
~/.agents/skills/<tool>-cli/exists, read it and ask before changing it. - Look for a CLI published by the vendor itself (their docs, domain, or GitHub org); check
command -vin case it is installed. Official CLI found: steps 3a. None: steps 3b. Never install a third-party package without the user's yes. 3a. Install with the documented method, preferringbrewon macOS, then the vendor'snpm i -g/pipx/uv tool install, then their own install script. Ask beforesudo. Check<cli> --version; if not found, fix the shell PATH and say so in one line. Log in with the CLI's browser login when it has one; if it needs a key, the user addsexport <VAR>=...to~/.zshrcthemselves. Read<cli> --helpand the main subcommands'--help. 3b. Read the official API docs: base URL, auth header, extra values like a subdomain or workspace id, and the endpoints behind the 5 to 10 things the user will really ask. Copy scripts/cli_template.py to~/.agents/skills/<tool>-cli/scripts/<tool>.pyand fill the constants,auth_headers,SETTINGS, andCOMMANDSwith confirmed endpoints only (checkis a cheap read, stdlib only). Tell the user where to create the key, with the narrowest permissions that fit, and to runpython3 ~/.agents/skills/<tool>-cli/scripts/<tool>.py loginin their terminal (hidden input). If they paste the key in the chat instead, pipe it straight in withprintf '%s' '<key>' | python3 .../<tool>.py login --<setting> <value>, never repeat it, never write it anywhere else. - Prove it works: one read-only command, then one real read (list a few items). Fix until both work.
- Write
~/.agents/skills/<tool>-cli/SKILL.md, under 30 lines, with only commands you ran or saw in--helpor the docs.<run>is<cli>orpython3 ~/.agents/skills/<tool>-cli/scripts/<tool>.py:
---
name: <tool>-cli
description: <Tool> from the terminal: <main resources>. Use when the user asks to <4-6 real tasks in their words>.
---
Run `<run> <command>`; check `--help` before a command you have not used. Auth: <login command or VAR, where the key comes from>.
- <Task>: `<command> [args]`
- ...
Read before writing. Ask before anything that deletes, publishes, sends, or spends money. Docs: <url>.- Link it for Claude Code: if
~/.claude/skillsis not already a link to~/.agents/skills, runmkdir -p ~/.claude/skills && ln -s ~/.agents/skills/<tool>-cli ~/.claude/skills/<tool>-cli.
Finish with three lines: what is connected (CLI and account), that a new session shows /<tool>-cli, and one thing to try now.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

