imflisted

# IMF Use this skill to answer questions that require IMF macroeconomic data, World Economic Outlook data, or COFER reserve currency composition data. ## Setup Check whether the agent-gw Python SDK is available in the current Python environment, and install it only if the check fails: ```bash python3 -c "import agent_gw" || python3 -m pip install "$(curl -s https://cdn.kimi.com/agentgw/pysdk/manifest.json | python3 -c "import json,sys; print(json.load(sys.stdin)['latest']['url'])")" ``` The SDK needs an API key from `api_key=...`, `KIMI_API_KEY`, or `~/.kimi/agent-gw.json`. ## Workflow 1. Run `python3 scripts/imf_tool.py describe` from the plugin directory to call `get_data_source_desc({"name": "imf"})`. 2. Read the returned Markdown carefully. It contains the overall data source rules, country and region formats, indicator names, dataset constraints, and each API's description, required parameters, optional parameters, defaults, and allowed values. 3. Select the API that best matches the user's question. 4. Build `params` exactly from the Markdown requirements. Pay attention to country or region, indicator, year or date range, forecast versus historical periods, dataset or source table, unit, and frequency requirements. 5. Use `python3 scripts/imf_tool.py call` to call `call_data_source_tool`. 6. If the call fails, explain the failure reason from the response. 7. If the call succeeds, save any returned files first, then answer using `resp.result.a