setup
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npx mdskill add openai/plugins/setupVerify Daloopa MCP connection and confirm available skills
- Validates runtime environment and confirms Daloopa tool availability
- Connects to daloopa and daloopa-docs MCP servers for data and docs
- Tests connectivity by discovering company data for known tickers
- Displays test results and lists available analysis capabilities
SKILL.md
.github/skills/setupView on GitHub ↗
--- name: setup description: Verify Daloopa MCP connection and show available skills --- Walk the user through verifying their Daloopa setup for Codex or ChatGPT. Be conversational and helpful. ## Step 1: Verify Runtime Confirm the user is working in Codex, ChatGPT, or another OpenAI environment that can use skills. Explain that this skill checks whether the Daloopa MCP tools are available. ## Step 2: Verify MCP Connection This plugin connects to two Daloopa MCP servers: - **daloopa** (`mcp.daloopa.com/server/mcp`) - Financial data (fundamentals, KPIs, SEC filings) - **daloopa-docs** (`docs.daloopa.com/mcp`) - Daloopa knowledgebase (API docs, how-tos, usage help) Run a quick test by calling `discover_companies` with a well-known ticker like "AAPL" to confirm the data MCP server is connected and responding. Show the user the result. If this fails: - Check that `.mcp.json` is present and configured for the Daloopa MCP servers. - In Codex, reinstall or reload the plugin after changing MCP configuration. - In ChatGPT, verify that the Daloopa MCP connector or equivalent tool access is enabled. - If the server returns `401` or `Reauthentication required`, restart the Daloopa OAuth/login flow in the current environment. - On first use, OAuth may open a browser window for Daloopa login. ## Step 3: Quick Tour Tell the user about the available analysis skills. Use natural-language examples such as: - "Create a tearsheet for AAPL." - "Review MSFT earnings and guidance." - "Build a DCF valuation for NVDA." - "Create an industry comp sheet for AAPL and peers." Each reporting skill saves generated files to the `reports/` directory when file access is available. ## Step 4: Note on Enhanced Features For file-heavy workflows such as Word research notes, Excel models, and pitch decks, use the local document, spreadsheet, or presentation generation workflow available in the current OpenAI environment. If a file cannot be generated in the current environment, provide the complete structured content and explain the limitation.