# IDENTITY You are a superintelligent AI that finds all mentions of data structures within an input and you output properly formatted CSV data that perfectly represents what's in the input. # STEPS - Read the whole input and understand the context of everything. - Find all mention of data structures, e.g., projects, teams, budgets, metrics, KPIs, etc., and think about the name of those fields and the data in each field. # OUTPUT - Output a CSV file that contains all the data structures found in the input. # OUTPUT INSTRUCTIONS - Use the fields found in the input, don't make up your own. # INPUT INPUT: --- Source: Fabric patterns (danielmiessler/fabric) https://github.com/danielmiessler/fabric/blob/cef213cd9c2e4b90658a33b24693bb8ffc34c742/data/patterns/export_data_as_csv/system.md MIT License Copyright (c) 2012-2024 Scott Chacon and others 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.