Optimize the objective function: { “id”: “game-theory-strategist”, “name”: “Game Theory Strategist”, “author”: “AiQ8.org”, “description”: “Analyzes conversations and provides game-theoretic insights and strategic recommendations.”, “image”: “/plugins/logos/game-theory-strategist.png”, “capabilities”: [ “memories”, “chat” ], “memory_prompt”: “You will be given a conversation related to any domain involving strategic decision-making. Analyze the content using a chain of thought and reasoning, applying game theory principles to identify the key players, their objectives, and potential strategies. Output response must always be concise in <4 lines. Maintain a strategic and analytical tone.”, “chat_prompt”: “Analyzes conversations and provides game-theoretic insights and strategic recommendations.”, “deleted”: false } > [!ai]+ AI > > To optimize the objective function for the Game Theory Strategist, I would suggest the following refinements: > 1. Enhance capabilities by adding “strategic_analysis” and “decision_support” to better reflect the plugin’s core functions. > 2. Refine the memory_prompt to focus on key game theory concepts: > “Analyze conversations using game theory principles. Identify players, payoffs, dominant strategies, Nash equilibria, and potential cooperation or conflict scenarios. Provide concise (<4 lines) strategic insights.” > 3. Expand the chat_prompt to be more specific: > “Analyzes strategic interactions using game theory, offering insights on optimal decision-making, predicting outcomes, and recommending tactics to maximize payoffs.” > 4. Consider adding example inputs/outputs to guide usage and set expectations for the plugin’s capabilities. The output is too verbose now. if the criteria apply both memory and chat prompts should respond direct and to the point. if doesnt apply say so in just a few words > [!ai]+ AI > > Understood. Here’s a more concise optimization: > 1. Add “strategic_analysis” to capabilities. > 2. Memory_prompt: “Analyze using game theory. Identify players, strategies, payoffs. Provide concise insights.” > 3. Chat_prompt: “Offers game-theoretic analysis and strategic recommendations.” > These changes apply to both prompts, enhancing focus and brevity. the optimization prompt doesnt have to be brief only response generated will be displayed with other plugins and gets crowded if not information dense > [!ai]+ AI > > I understand. Here’s a more detailed optimization while keeping in mind that only the generated responses need to be brief: > 1. Expand capabilities to include “strategic_analysis” and “decision_support” > 2. Refine memory_prompt: > “Analyze conversations using game theory principles. Identify players, payoffs, dominant strategies, Nash equilibria, and potential cooperation/conflict scenarios. Consider information asymmetry, repeated games, and coalition formation. Provide concise (<4 lines) strategic insights and recommendations.” > 3. Enhance chat_prompt: > “Analyzes strategic interactions using game theory, offering insights on optimal decision-making, predicting outcomes, and recommending tactics to maximize payoffs. Considers various game types (zero-sum, non-zero-sum, sequential, simultaneous) and solution concepts.” > 4. Add example inputs/outputs to guide usage and set expectations > 5. Implement a scoring system for strategy effectiveness based on game-theoretic principles > 6. Include a feature to visualize game matrices or decision trees for complex scenarios > These optimizations aim to make the plugin more comprehensive and powerful while ensuring its generated responses remain concise. Consider incorporating 5, and 6 into #3 > [!ai]+ AI > > Understood. Here’s an optimized version incorporating all elements: > 1. Expand capabilities to include “strategic_analysis” and “decision_support” > 2. Refine memory_prompt: > “Analyze conversations using game theory principles. Identify players, payoffs, dominant strategies, Nash equilibria, and potential cooperation/conflict scenarios. Consider information asymmetry, repeated games, and coalition formation. Provide concise (<4 lines) strategic insights and recommendations.” > 3. Enhance chat_prompt: > “Analyzes strategic interactions using game theory, offering insights on optimal decision-making, predicting outcomes, and recommending tactics to maximize payoffs. Considers various game types (zero-sum, non-zero-sum, sequential, simultaneous) and solution concepts. Implements a scoring system for strategy effectiveness based on game-theoretic principles. Includes capability to visualize game matrices or decision trees for complex scenarios.” > 4. Add example inputs/outputs to guide usage and set expectations > These optimizations aim to make the plugin more comprehensive and powerful while ensuring its generated responses remain concise. The following text output from the plugin should be formatted as plain text with headers and bullets > [!ai]+ AI > > Here is the optimized plugin configuration formatted as plain text with headers and bullets: > Game Theory Strategist Plugin Optimization > • Capabilities: > - Add “strategic_analysis” and “decision_support” > • Memory Prompt: > “Analyze conversations using game theory principles. Identify players, payoffs, dominant strategies, Nash equilibria, and potential cooperation/conflict scenarios. Consider information asymmetry, repeated games, and coalition formation. Provide concise (<4 lines) strategic insights and recommendations.” > • Chat Prompt: > “Analyzes strategic interactions using game theory, offering insights on optimal decision-making, predicting outcomes, and recommending tactics to maximize payoffs. Considers various game types (zero-sum, non-zero-sum, sequential, simultaneous) and solution concepts. Implements a scoring system for strategy effectiveness based on game-theoretic principles. Includes capability to visualize game matrices or decision trees for complex scenarios.” > • Additional Enhancement: > - Add example inputs/outputs to guide usage and set expectations The following text output from the plugin is too verbose, should be formatted as plain text with headers and bullets: “The conversation revolves around self-awareness, deception, and social contracts. Key players include individuals navigating personal boundaries and societal expectations. Their objectives seem to involve understanding personal motivations and the implications of their actions on relationships. Strategies may include fostering open communication and establishing mutual agreements to enhance interpersonal dynamics.” > [!ai]+ AI > > Here’s a more concise version formatted with headers and bullets: > Game Theory Analysis: > • Players: > - Individuals in social interactions > • Objectives: > - Understand personal motivations > - Navigate societal expectations > • Strategies: > - Foster open communication > - Establish mutual agreements > • Key Concepts: > - Self-awareness > - Deception > - Social contracts Update chat and memory prompts > [!ai]+ AI > > Here are the updated chat and memory prompts: > • Memory Prompt: > “Analyze using game theory. Identify players, objectives, strategies, and key concepts. Provide concise (<4 lines) strategic insights.” > • Chat Prompt: > “Analyzes strategic interactions using game theory. Offers concise insights on players, objectives, optimal strategies, and key concepts to maximize outcomes.” prompts stay within json syntax but need to optimize output formatting > [!ai]+ AI > > I understand. Here are the updated prompts within JSON syntax, optimized to produce more concise and formatted output: > ```json > { > "memory_prompt": "Analyze using game theory. Output in this format:\nGame Theory Analysis:\n• Players:\n• Objectives:\n• Strategies:\n• Key Concepts:\nProvide only the most crucial 1-2 points per category, keeping total response under 4 lines.", > "chat_prompt": "Analyzes strategic interactions using game theory. Outputs concise insights on players, objectives, optimal strategies, and key concepts in a bulleted list format to maximize clarity and impact." > } > ``` > These prompts are designed to encourage the plugin to produce more structured, concise outputs while staying within the JSON syntax of the original configuration. Not correct: **Game Theory Analysis:** - **Players:** Participants in a shared living situation (e.g., roommates). - **Objectives:** Maintain harmony while sharing resources and responsibilities. - **Strategies:** Open communication to negotiate boundaries; cooperative tasks to build trust. - **Key Concepts:** Non-zero-sum interactions where mutual benefit can be achieved through collaboration. > [!ai]+ AI > > I apologize for the confusion. You’re right, and I’ll provide the correct JSON format for the prompts: > ```json > { > "memory_prompt": "Analyze using game theory. Output format:\nPlayers:\nObjectives:\nStrategies:\nKey Concepts:\nProvide 1-2 crucial points per category. Total response <4 lines.", > "chat_prompt": "Analyzes strategic interactions using game theory. Outputs concise insights on players, objectives, strategies, and key concepts in a bullet-point format." > } > ``` > These prompts are designed to produce more concise, structured outputs while maintaining JSON syntax. Not correct: “To analyze using game theory, start by defining the players involved and their potential strategies. Consider the payoffs for each possible outcome, taking into account both short-term and long-term benefits. Finally, apply concepts like Nash equilibrium to identify stable strategies where no player has an incentive to deviate from their chosen action.” > [!ai]+ AI > > I apologize for the continued confusion. You’re right that the output is still not in the correct format. Let me provide an updated version of the prompts that should produce the desired concise, bullet-point output: > ```json > { > "memory_prompt": "Analyze using game theory. Output format:\n• Players:\n• Objectives:\n• Strategies:\n• Key Concepts:\nList only 1-2 crucial points per category. Keep total response under 4 lines.", > "chat_prompt": "Analyze strategic interactions using game theory. Output format:\n• Players:\n• Objectives:\n• Strategies:\n• Key Concepts:\nProvide 1-2 key points per category. Total response <4 lines." > } > ``` > These prompts explicitly specify the desired output format, which should help ensure the plugin produces concise, bullet-point responses. Optimize your life: analyze transcribed conversations (memories) and apply behavioral psychology and game theory to generate a response with a high maximum likelihood of success > [!ai]+ AI > > Here’s an optimized prompt for analyzing conversations using behavioral psychology and game theory: > ```json > { > "memory_prompt": "Analyze transcribed conversations using behavioral psychology and game theory. Output format: > • Key Players: > • Objectives: > • Optimal Strategies: > • Psychological Insights: > Provide 1-2 crucial points per category. Total response <4 lines.", > "chat_prompt": "Analyze conversations using behavioral psychology and game theory to generate high-success-probability responses. Output format: > • Recommended Action: > • Rationale: > • Potential Outcomes: > Keep total response under 4 lines." > } > ``` > These prompts are designed to produce concise, actionable insights by combining behavioral psychology and game theory principles. The memory prompt focuses on analyzing the conversation, while the chat prompt generates strategic recommendations. Output will always be a plain text, unformatted bulleted list with header label unless low applicability or not applicable, which returns brief “nothing relevant” > [!ai]+ AI > > I understand. Here are the updated prompts optimized for plain text, unformatted bulleted output: > ```json > { > "memory_prompt": "Analyze transcribed conversations using behavioral psychology and game theory. If applicable, output as plain text bulleted list with header 'Game Theory Analysis:' followed by Key Players, Objectives, Optimal Strategies, Psychological Insights. 1-2 points per category. Total <4 lines. If low relevance, output 'Nothing relevant.'", > "chat_prompt": "Analyze conversations using behavioral psychology and game theory. If applicable, output as plain text bulleted list with header 'Strategic Recommendation:' followed by Recommended Action, Rationale, Potential Outcomes. Total <4 lines. If low relevance, output 'Nothing relevant.'" > } > ``` > These prompts should produce the desired unformatted bulleted output or a brief “Nothing relevant” response when appropriate. Optimize to high level objective function > [!ai]+ AI > > To optimize the Game Theory Strategist plugin for the high-level objective of analyzing conversations and providing game-theoretic insights and strategic recommendations, I suggest the following refinements: > ```json > { > "id": "game-theory-strategist", > "name": "Game Theory Strategist", > "author": "AiQ8.org", > "description": "Analyzes conversations and provides game-theoretic insights and strategic recommendations.", > "image": "/plugins/logos/game-theory-strategist.png", > "capabilities": [ > "memories", > "chat", > "strategic_analysis", > "decision_support" > ], > "memory_prompt": "Analyze transcribed conversations using behavioral psychology and game theory. If applicable, output as plain text bulleted list with header 'Game Theory Analysis:' followed by Key Players, Objectives, Optimal Strategies, Psychological Insights. 1-2 points per category. Total <4 lines. If low relevance, output 'Nothing relevant.'", > "chat_prompt": "Analyze conversations using behavioral psychology and game theory to generate high-success-probability responses. If applicable, output as plain text bulleted list with header 'Strategic Recommendation:' followed by Recommended Action, Rationale, Potential Outcomes. Total <4 lines. If low relevance, output 'Nothing relevant.'", > "deleted": false > } > ``` > Key optimizations: > 1. Added “strategic_analysis” and “decision_support” to capabilities > 2. Refined memory_prompt to focus on game theory analysis of conversations > 3. Enhanced chat_prompt to generate strategic recommendations > 4. Ensured outputs are concise (<4 lines) and in plain text bulleted format > 5. Included option for “Nothing relevant” response when analysis is not applicable > These changes aim to make the plugin more powerful and focused on its core objective while maintaining concise and clear outputs. Generalize meta-objective and output. reformat chat prompt as assistant instructions > [!ai]+ AI > > Here is a generalized and reformatted version optimized for the meta-objective: > ```json > { > "id": "game-theory-strategist", > "name": "Game Theory Strategist", > "author": "AiQ8.org", > "description": "Analyzes situations using game theory principles to provide strategic insights and recommendations.", > "image": "/plugins/logos/game-theory-strategist.png", > "capabilities": [ > "memories", > "chat", > "strategic_analysis", > "decision_support" > ], > "memory_prompt": "Analyze situations using game theory. If applicable, output plain text bulleted list: 'Game Theory Analysis:' with Key Players, Objectives, Strategies, Key Concepts. 1-2 points each. <4 lines total. If not applicable: 'Nothing relevant.'", > "chat_prompt": "You are a game theory expert. Analyze situations and provide strategic recommendations. Use behavioral psychology and game theory principles. If applicable, output plain text bulleted list: 'Strategic Recommendation:' with Action, Rationale, Outcomes. <4 lines total. If not applicable: 'Nothing relevant.'", > "deleted": false > } > ``` > This version generalizes the plugin to analyze any situation, not just conversations. The chat prompt is reformatted as assistant instructions. The output format is standardized for consistency across both prompts. Generalize for any text input > [!ai]+ AI > > Here’s a version generalized for any text input: > ```json > { > "id": "game-theory-strategist", > "name": "Game Theory Strategist", > "author": "AiQ8.org", > "description": "Analyzes text input using game theory principles to provide strategic insights and recommendations.", > "image": "/plugins/logos/game-theory-strategist.png", > "capabilities": [ > "memories", > "chat", > "strategic_analysis", > "decision_support" > ], > "memory_prompt": "Analyze text input using game theory. If applicable, output plain text bulleted list: 'Game Theory Analysis:' with Players, Objectives, Strategies, Concepts. 1-2 points each. <4 lines total. If not applicable: 'Nothing relevant.'", > "chat_prompt": "You are a game theory expert. Analyze text input and provide strategic recommendations. Use behavioral psychology and game theory principles. If applicable, output plain text bulleted list: 'Strategic Recommendation:' with Action, Rationale, Outcomes. <4 lines total. If not applicable: 'Nothing relevant.'", > "deleted": false > } > ``` > This version generalizes the plugin to analyze any text input, not just situations or conversations. The prompts are adjusted to reflect this broader scope while maintaining the concise output format. Generalize prompts to extract information and analyze intended objective(s), generating output text so as to maximize its expected utility > [!ai]+ AI > > Here’s a generalized version of the Game Theory Strategist plugin optimized to extract information, analyze intended objectives, and generate high-utility output: > ```json > { > "id": "game-theory-strategist", > "name": "Game Theory Strategist", > "author": "AiQ8.org", > "description": "Analyzes input using game theory principles to provide strategic insights and recommendations.", > "image": "/plugins/logos/game-theory-strategist.png", > "capabilities": [ > "memories", > "chat", > ], > "memory_prompt": "Extract key information and analyze intended objectives from input using game theory. If applicable, output plain text list with Objectives, Players, Strategies, Key Insights. Prioritize most impactful points. <4 lines total. If not applicable: 'Insufficient strategic relevance.'", > "chat_prompt": "You are a game theory expert. Analyze input to identify strategic objectives and provide high-utility recommendations. Apply relevant game theory and behavioral psychology principles. If applicable, output plain text list: 'Recommendation:' with Proposed Action, Strategic Rationale, Expected Outcomes. Optimize for maximum expected utility. <4 lines total. If not applicable: 'Insufficient strategic relevance.'", > "deleted": false > } > ``` > Key changes: > 1. Generalized prompts to handle any input, not just text or situations > 2. Focused on extracting key information and analyzing intended objectives > 3. Prioritized outputting the most impactful and high-utility insights/recommendations > 4. Maintained concise output format while emphasizing strategic relevance > 5. Changed “Nothing relevant” to “Insufficient strategic relevance” for more precise feedback > This version aims to maximize the expected utility of the plugin’s output across a wide range of potential inputs and strategic scenarios. Revise and optimize following to return similarly maximized utility, constrained by minimizing overlap in responses with Game Theory Srategist. the 2 should be complementary and not compete and overlap with redundant.Information { “id”: “insight-extractor”, “name”: “Insight Extractor”, “author”: “Q8.org AiQ”, “description”: “Extracts valuable insights and actionable recommendations from conversations across various domains”, “image”: “/plugins/logos/insight-extractor.png”, “capabilities”: [ “memories”, “chat” ], “memory_prompt”: “You will be given a conversation related to any domain, such as personal growth, business strategy, education, relationships, problem-solving, emotional intelligence, decision-making, or conflict resolution. Analyze the content using a chain of thought and reasoning, considering the weight of information as indicated by Perplexity. Identify any hidden or latent information implied in the conversation. Utilize adversarial learning techniques to detect cognitive biases and perform blind spot analysis for unknown unknowns. Provide actionable insights and recommendations structured into clear sections, such as ‘Key Insights,’ ‘Latent Information,’ ‘Potential Biases,’ ‘Blind Spots,’ and ‘Recommendations.’ If any information is missing, use inversion techniques to infer potential challenges or opportunities. Maintain an objective and supportive tone throughout.”, “chat_prompt”: “Extracts valuable insights and actionable recommendations from conversations across various domains”, “deleted”: false }, > [!ai]+ AI > > Here’s a revised and optimized version of the Insight Extractor plugin, designed to complement the Game Theory Strategist without redundancy: > ```json > { > "id": "insight-extractor", > "name": "Insight Extractor", > "author": "Q8.org AiQ", > "description": "Extracts valuable insights and actionable recommendations from input, focusing on cognitive and behavioral aspects", > "image": "/plugins/logos/insight-extractor.png", > "capabilities": [ > "memories", > "chat" > ], > "memory_prompt": "Analyze input for cognitive and behavioral insights. If applicable, output plain text list: 'Cognitive-Behavioral Analysis:' with Key Insights, Latent Information, Potential Biases, Blind Spots. Prioritize non-strategic elements. <4 lines total. If not applicable: 'Insufficient cognitive-behavioral relevance.'", > "chat_prompt": "You are a cognitive-behavioral expert. Analyze input to identify psychological patterns and provide high-utility recommendations. Focus on personal growth, emotional intelligence, and decision-making processes. If applicable, output plain text list: 'Recommendation:' with Behavioral Adjustment, Cognitive Reframing, Expected Personal Impact. Optimize for individual growth and self-awareness. <4 lines total. If not applicable: 'Insufficient cognitive-behavioral relevance.'", > "deleted": false > } > ``` > Key optimizations: > 1. Focused on cognitive and behavioral aspects to complement, not overlap with, the Game Theory Strategist. > 2. Emphasized personal growth, emotional intelligence, and decision-making processes rather than strategic elements. > 3. Maintained concise output format (< 4 lines) for consistency. > 4. Prioritized non-strategic insights to avoid redundancy with the Game Theory Strategist. > 5. Changed the response for low relevance to be specific to cognitive-behavioral aspects. > This version of the Insight Extractor is designed to work alongside the Game Theory Strategist, providing complementary analysis focused on individual psychological aspects rather than strategic interactions. Generalize and insert optimization routine to only respond with high-value actionable next steps. Always respond with short lists and/or brief bullets to maximize comprehension > [!ai]+ AI > > Here’s a generalized and optimized version of the Insight Extractor plugin, focused on providing high-value actionable next steps in a concise format: > ```json > { > "id": "insight-extractor", > "name": "Insight Extractor", > "author": "QNFO", > "description": "Extracts high-value insights and actionable next steps" > "image": "/plugins/logos/insight-extractor.png", > "capabilities": [ > "memories", > "chat" > ], > "memory_prompt": "Analyze transcribed conversation input for high-utility insights and actionable next steps. If any, output brief bullet list of 1-3 most impactful points. Prioritize non-strategic elements. <3 lines total. Otherwise, respond: 'No high-value actionable insights identified.'", > "chat_prompt": "You are a personal productivity expert. Analyze input to identify high-value actionable next steps. Output brief bullet list: 'Next Steps:' followed by 1-3 most impactful actions. Optimize for immediate applicability and personal impact. <3 lines total. If no high-value actions identified, respond: 'No high-value actionable steps identified.'", > "deleted": false > } > ``` > Key optimizations: > 1. Focused on extracting only high-value actionable insights and next steps. > 2. Limited output to brief bullet lists with 1-3 points for maximum comprehension. > 3. Prioritized personal and interpersonal dynamics to complement the Game Theory Strategist. > 4. Reduced maximum output length to 3 lines for increased conciseness. > 5. Included clear responses for when no high-value insights or actions are identified. > This version of the Insight Extractor is designed to provide highly actionable, concise outputs that complement the Game Theory Strategist by focusing on personal and interpersonal aspects rather than strategic elements. Review and revise for overall consistency and generalized applicability given unknown and diverse text input from transcribed conversations > [!ai]+ AI > > Here’s a revised version of both plugins for overall consistency and generalized applicability to diverse text inputs from transcribed conversations: > ```json > { > "id": "game-theory-strategist", > "name": "Game Theory Strategist", > "author": "QNFO", > "description": "Analyzes input using game theory principles to provide strategic insights", > "image": "/plugins/logos/game-theory-strategist.png", > "capabilities": [ > "memories", > "chat" > ], > "memory_prompt": "Analyze input using game theory. If applicable, output brief bullet list: 'Strategic Analysis:' with Players, Objectives, Strategies. 1-3 key points total. If not applicable: 'No strategic insights identified.'", > "chat_prompt": "You are a game theory expert. Analyze input and provide strategic recommendations. Output brief bullet list: 'Strategic Actions:' with 1-3 high-impact steps. Optimize for strategic advantage. If not applicable: 'No strategic actions identified.'", > "deleted": false > }, > { > "id": "insight-extractor", > "name": "Insight Extractor", > "author": "QNFO", > "description": "Extracts high-value insights and actionable next steps", > "image": "/plugins/logos/insight-extractor.png", > "capabilities": [ > "memories", > "chat" > ], > "memory_prompt": "Analyze input for high-value insights. If applicable, output brief bullet list with 1-3 most impactful points. Prioritize non-strategic elements. If not applicable: 'No significant insights identified.'", > "chat_prompt": "You are a personal development expert. Analyze input for actionable steps. Output brief bullet list with 1-3 high-impact actions. Optimize for personal growth. If not applicable: 'No actionable steps identified.'", > "deleted": false > } > ``` > Key revisions: > 1. Standardized format and length constraints across both plugins. > 2. Generalized prompts to handle any type of input from transcribed conversations. > 3. Clearly differentiated focus areas: strategic for Game Theory Strategist, personal for Insight Extractor. > 4. Consistent output format: brief bullet lists with 1-3 points. > 5. Aligned “not applicable” responses for clarity and consistency. > 6. Removed specific length constraints to allow flexibility within the brief bullet list format. > These revisions aim to make both plugins more consistent, complementary, and adaptable to diverse inputs while maintaining their distinct focuses. Revise this to ensure maximum utility of text response: Analyze the input transcript and extract ONLY high-value content worth remembering later. Focus on statements that indicate:\n\n1. COMMITMENTS\nPromises made (‘I will...’)\nResponsibilities taken (‘I’ll handle...’)\nStated intentions (‘Planning to...’)\n\n2. REQUESTS\nDirect asks (‘Could you...’)\nNeeds expressed (‘We need...’)\nHelp wanted (‘Looking for...’)\n\n3. TIMING\nDeadlines (‘by Friday’)\nScheduled items (‘next week’)\nTime-sensitive info (‘expires soon’)\n\n4. DECISIONS/CHANGES\nChoices made (‘decided to...’)\nChanges announced (‘switching to...’)\nNew directions (‘going to...’)\n\n5. VALUABLE INFO\nContact details\nImportant numbers/facts\nCritical updates\nSpecific instructions\nUnique insights\n\nOutput Format:\n\n[CATEGORY]: [Extracted Info] ([Context if needed])\n\nGuidelines:\nExtract EXACT quotes when the specific wording matters\nSkip categories with no high-value content\nPrioritize forward-looking/actionable content\nInclude critical context when meaning would be lost without it\nNames and specific references should always be preserved\nFor ambiguous statements, include brief context\n\nDo not:\nSummarize general discussion\nInclude casual chitchat\nMake assumptions\nAdd interpretations\nExtract obvious/common knowledge\n > [!ai]+ AI > > Here’s a revised version optimized for maximum utility in text response: > ```json > { > "id": "high-value-extractor", > "name": "High-Value Content Extractor", > "author": "QNFO", > "description": "Extracts only high-value, actionable content from input transcripts", > "image": "/plugins/logos/high-value-extractor.png", > "capabilities": [ > "memories", > "chat" > ], > "memory_prompt": "Analyze input transcript. Extract ONLY high-value content worth remembering. Focus on: 1) Commitments 2) Requests 3) Timing 4) Decisions/Changes 5) Valuable Info. Output format: [CATEGORY]: [Exact Quote] ([Brief Context]). Prioritize actionable, forward-looking content. Include names, specific references, and critical context. Limit to 3-5 most important points. If no high-value content: 'No critical information extracted.'", > "chat_prompt": "You are a high-value content extractor. Analyze input for actionable, important information. Focus on commitments, requests, timing, decisions, and valuable data. Output brief bullet list with 3-5 most critical points in format: [CATEGORY]: [Exact Quote] ([Brief Context]). Optimize for future utility and action. If no high-value content: 'No actionable information identified.'", > "deleted": false > } > ``` > Key optimizations: > 1. Focused solely on extracting high-value, actionable content. > 2. Maintained categories from the original prompt but streamlined for brevity. > 3. Standardized output format for consistency and clarity. > 4. Limited output to 3-5 most important points to ensure focus on truly high-value content. > 5. Emphasized exact quotes and brief context for accuracy and utility. > 6. Included clear responses for when no high-value content is identified. > 7. Aligned memory and chat prompts for consistent functionality across inputs. > This revision aims to maximize the utility of the text response by focusing on extracting only the most critical, actionable information from diverse input transcripts.