--- name: tool-connector-174009b62bb6 description: Connect any tool you use at work to your agent — including internal company tools, custom-built systems, deployment portals, incident trackers, internal knowledge bases, HR systems, and commercial tools like Slack, Confluence, Jira, Linear, GitHub, Outlook, Datadog, and PagerDuty. Use when the user wants to set up a tool connection, connect an internal or custom-built tool, or add a new tool integration from scratch. source: https://github.com/zhixiangluo/10xProductivity author: zhixiangluo --- # Tool Connector — Connect Any Work Tool to Your Agent > **Requires the repo cloned locally.** Check if it's already present (`ls setup.md`), then read `setup.md` — that is the full entry point. The sections below summarize the approach for reference. Full methodology and pre-built recipes: https://github.com/zhixiangluo/10xProductivity ## Internal tools are first-class citizens Internal and custom-built tools are often the most valuable to connect — deployment portals, incident trackers, internal knowledge bases, custom dashboards, HR systems, anything your company built or runs. They follow the exact same setup path as commercial tools and stay private in `personal/` (gitignored, never committed). If a tool has an API or a web UI, it can be connected. ## Core principles - **Ask for a URL first, not credentials** — a URL the user has open reveals the base URL, workspace, and regional variant without requiring them to know anything about auth - **Run every command yourself** — never paste a command and ask the user to run it - **Validate with real output before marking anything done** — no illustrative output, no copy-paste from docs - **Zero friction** — never require the user to create an OAuth app, register redirect URIs, or configure anything outside of this flow ## Routing | Situation | Action | |-----------|--------| | Tool already in `verified_connections.md` | Reverify — run its verify snippet; if it passes, done | | Tool has a recipe in `personal/{tool}/` | Load it and try; patch in `personal/` if it fails | | Tool has a recipe in `tool_connections/{tool}/` | Read that tool's `setup.md` and follow it | | Tool not found anywhere | Follow `add-new-tool.md` to build a recipe from scratch | Never edit `tool_connections/` directly — copy to `personal/{tool}/` and patch there. ## Auth priority order | Priority | Method | User friction | |----------|--------|---------------| | 1 | API token | ~30s — generate in tool settings | | 2 | Browser session (SSO, cached) | Run once — session cached for days/weeks | | 3 | Browser session (per operation) | Playwright on every call — only if no API exists | | 4 | Username + password | Legacy tools only | | ✗ | OAuth requiring user to create their own app | Never — too much friction | ## Pre-built recipes available Slack, Confluence, Jira, Linear, GitHub, Microsoft Teams, Outlook, Google Drive, Datadog, Grafana, PagerDuty, Jenkins, Backstage, Bitbucket Server, Artifactory. Internal and custom tools follow the same path — they stay private in `personal/` (gitignored). ## Getting started First, check if you already have the repo: ```bash ls setup.md 2>/dev/null && echo "repo present" || echo "need to clone" ``` **Repo present** → if `python3` (or Windows `py -3`) is missing or `.venv` is not set up for Playwright, read **`setup-python.md`** first; then read **`setup.md`** — it is the full entry point for tool connections. **Need to clone** → ```bash git clone https://github.com/zhixiangluo/10xProductivity.git cd 10xProductivity ``` Then read `setup.md`. It routes to pre-built recipes, your own recipes, and `add-new-tool.md` for anything new. --- Source attribution: ZhixiangLuo Original project: https://github.com/ZhixiangLuo/10xProductivity/blob/9a7da40bc798e4e3fe91b10770cf0fcc13cf0886/.cursor/skills/tool-connector/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 10xProductivity Contributors Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: ZhixiangLuo Original project: https://github.com/ZhixiangLuo/10xProductivity/blob/9a7da40bc798e4e3fe91b10770cf0fcc13cf0886/.cursor/skills/tool-connector/SKILL.md Attribution basis: Source repository record Fields of work: Marketing, Operations, Product Management, Sales Roles: Customer Success Manager, Growth Marketer, Operations Manager, Product Manager, Technical Product Manager Specialties: API Tools: Confluence, Datadog, GitHub, Jira, Linear, Outlook, PagerDuty, Slack Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: 08096366cfb48a6dc3a5d18d4ecaf2f098dbd96e7c6f7ba0d9bb9d2042bce9a5