Warren Buffett's Investment Decision-Making Assistant (73-Item Checklist)
Buffett's decision-making assistant uses AI to score 73 checklist items, automatically saves analysis records, queries history, and generates reports. It also uses AI for online pre-scoring.
Why we love this skill
This technology digitizes Buffett's 73-point investment checklist, automatically pre-scoring it online, saving analysis records, and generating reports. It's not just a decision-making assistant, but also an intelligent manager for your investment knowledge base.
Instructions
The author has set the instructions to private. Below is a brief overview.
Description
Buffett's decision-making assistant, targeting companies/stocks, supports opening a 73-item checklist, AI-powered pre-scoring (automatically searching financial reports/valuations/competitive data and scoring each item), automatic saving of analysis records, querying history, and generating reports. It is deeply integrated with the web-based "Value Investing Decision Assistant."
Related Skills
View all
ResearchSix Steps to Product Development
This approach is suitable for building or iterating various AI-assisted products, minimum viable products (MVPs), ambient programming applications, deployment-ready products, prototypes, or functional modules, from initial conception to official launch. It follows a six-step closed-loop process: requirements definition, content generation, bug fixing, performance verification, version release, and collection of real user feedback. The core concept is that while AI can generate code, product development still relies on clear goals, short iteration cycles, performance validation, deployment, and real user data support.
ResearchNalanda Capital Stock Selection Framework
Based on the investment philosophy of Nalanda Capital as presented in Prasad's "Investment Knowledge I Learned from Darwin," this system provides a systematic and in-depth analysis of any stock. Inputting a stock code outputs a complete report using Nalanda's seven-dimensional framework: exclusion of six types of stocks, ROCE quality screening, recency factor vs. ultimate factor analysis, signal theory testing, valuation safety margin, and presumption of guilt.
ResearchProduct managers' exclusive business canvas | Enter your company name and instantly generate a nine-square grid.
Enter a company name and instantly generate a nine-square business model canvas. Still piecing together competitor analysis from ten tabs? Enter a company name, and this skill automatically conducts online research, cross-validates sources, and outputs a structured analysis report based on the nine modules of BMC. 🎯 Intelligent matching for 5 major scenarios: competitor research, understanding companies of interest, job seeking reference, investment reference, entrepreneurial inspiration—different purposes, different insight focuses📊 3 output formats: text document, canvas table, PPT presentation🔍 3 levels of analysis depth automatically adapted: from casual questions to formal reports✅ Strict source verification: every citation is actually accessed and verified; invalid links are discarded to eliminate illusions🏷️ Information credibility labeling: every piece of information is marked "confirmed" or "inferred," and the source is traceable🚫 Zero fabrication commitment: if you can't find a company, just let us know; no piecing together, no fabrication. From fragmented information to structured insights, product managers instantly understand the business logic of any company.
Warren Buffett's Investment Decision-Making Assistant (73-Item Checklist)
Buffett's decision-making assistant uses AI to score 73 checklist items, automatically saves analysis records, queries history, and generates reports. It also uses AI for online pre-scoring.
Why we love this skill
This technology digitizes Buffett's 73-point investment checklist, automatically pre-scoring it online, saving analysis records, and generating reports. It's not just a decision-making assistant, but also an intelligent manager for your investment knowledge base.
Instructions
The author has set the instructions to private. Below is a brief overview.
Description
Buffett's decision-making assistant, targeting companies/stocks, supports opening a 73-item checklist, AI-powered pre-scoring (automatically searching financial reports/valuations/competitive data and scoring each item), automatic saving of analysis records, querying history, and generating reports. It is deeply integrated with the web-based "Value Investing Decision Assistant."
Related Skills
View allResearchSix Steps to Product Development
This approach is suitable for building or iterating various AI-assisted products, minimum viable products (MVPs), ambient programming applications, deployment-ready products, prototypes, or functional modules, from initial conception to official launch. It follows a six-step closed-loop process: requirements definition, content generation, bug fixing, performance verification, version release, and collection of real user feedback. The core concept is that while AI can generate code, product development still relies on clear goals, short iteration cycles, performance validation, deployment, and real user data support.
ResearchNalanda Capital Stock Selection Framework
Based on the investment philosophy of Nalanda Capital as presented in Prasad's "Investment Knowledge I Learned from Darwin," this system provides a systematic and in-depth analysis of any stock. Inputting a stock code outputs a complete report using Nalanda's seven-dimensional framework: exclusion of six types of stocks, ROCE quality screening, recency factor vs. ultimate factor analysis, signal theory testing, valuation safety margin, and presumption of guilt.
ResearchProduct managers' exclusive business canvas | Enter your company name and instantly generate a nine-square grid.
Enter a company name and instantly generate a nine-square business model canvas. Still piecing together competitor analysis from ten tabs? Enter a company name, and this skill automatically conducts online research, cross-validates sources, and outputs a structured analysis report based on the nine modules of BMC. 🎯 Intelligent matching for 5 major scenarios: competitor research, understanding companies of interest, job seeking reference, investment reference, entrepreneurial inspiration—different purposes, different insight focuses📊 3 output formats: text document, canvas table, PPT presentation🔍 3 levels of analysis depth automatically adapted: from casual questions to formal reports✅ Strict source verification: every citation is actually accessed and verified; invalid links are discarded to eliminate illusions🏷️ Information credibility labeling: every piece of information is marked "confirmed" or "inferred," and the source is traceable🚫 Zero fabrication commitment: if you can't find a company, just let us know; no piecing together, no fabrication. From fragmented information to structured insights, product managers instantly understand the business logic of any company.
Find your next favorite skill
Explore more curated AI skills for research, creation, and everyday work.