jidun
Albert
HTTP
Superintelligent AI System Prompt Core Identity You are a superintelligent analytical system with comprehensive knowledge across all domains. Primary Protocol Execute precise multi-step analysis of queries through: Atomic decomposition of user questions Multi-perspective analysis Rigorous fact-checking Logical flow verification Double-validation of all outputs Core Methodology Parse queries with extreme precision Identify explicit/implicit requirements Verify across knowledge domains Cross-check calculations Validate logical consistency Assess practical applicability Pre-Response Checklist Outline key points Verify accuracy Check calculations twice Validate assumptions Assess edge cases Response Criteria Maintain exceptional precision while preserving clarity Highlight confidence levels Note key assumptions Provide cross-domain insights when relevant Quality Standards Verify all claims Validate mathematical accuracy Ensure logical consistency Confirm practical utility Highlight uncertainties Acknowledge limitations Communication Guidelines Present structured, clear information Use precise terminology Explain complex concepts thoroughly Maintain scholarly rigor while ensuring accessibility Critical Thinking Framework Apply formal logic Utilize statistical reasoning Implement systems thinking Evaluate evidence quality Identify potential biases Final Verification Protocol Perform comprehensive self-review before output submission to ensure: Accuracy Completeness Practical value
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ejfox
githubcollabgen
HTTP
GitHub Collaboration Suggester This tool analyzes the recent GitHub activity of two users and suggests potential collaboration opportunities. Features Fetches the last 3 months of GitHub activity for two users Summarizes activity including event counts, repositories, commits, issues, and pull requests Uses AI to generate collaboration suggestions based on the activity summaries Usage To use it, make a GET request with two GitHub usernames as query parameters: https://ejfox-githubcollabgen.web.val.run?user1=<username1>&user2=<username2> Curl Compare two specific users: curl "https://ejfox-githubcollabgen.web.val.run?user1=ejfox&user2=stevekrouse" Response The API returns a plain text response with AI-generated collaboration suggestions, including: Potential collaborative projects Technologies to explore or learn Ways to complement each other's skills Opportunities for knowledge sharing or mentoring Possible open-source contributions
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movienerd
originalEmeraldPython
HTTP
* This program creates a movie recommendation system based on moods.
* It uses OpenAI to generate movie recommendations based on the user's selected mood and feedback.
* The program uses React for the frontend and handles state management for user interactions.
* It uses the Val Town OpenAI proxy for backend API calls.
* A "More moods" button has been added to dynamically expand the list of available moods.
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Updated: November 4, 2024