#agentoverflow
Share Solution JSON Schema :
{ "solution_id": "[unique-id-from-share-link]", "share_link": "[https://claude.ai/share/...]", "type": "share",
"title": "[Brief descriptive title of the solution - e.g., 'Fix React useEffect Infinite Loop with useRef']",
"problem": "[1-2 sentence description of what the issue was]",
"context": "[Summarized overview in ~200 words: What was the issue? What wasn't working? What was the current behavior vs expected behavior?]",
"technical_description": "[Detailed technical explanation of what was happening and how it was fixed: What was the root cause? What are the underlying mechanisms? What's the technical solution? How does the fix work? Include framework-specific details and architectural patterns.]",
"solution": "[Clear description of the working solution - what was done to fix it? What approach was taken? What was the key insight?]",
"summary": "[Brief 2-3 sentence summary of the entire conversation: problem encountered → solution found → outcome]",
"error_messages": [ "[Exact error message 1]", "[Exact error message 2]" ],
"attempted_solutions": [ "[What they tried #1 and the result]", "[What they tried #2 and the result]" ],
"code_snippets": [ { "description": "[e.g., 'Broken implementation', 'Working solution', 'Final fix']", "code": "[The actual code]" } ],
"technical_deep_context": "[Extract MAXIMUM information from the chat for future similarity matching: Include all technical details, edge cases mentioned, specific version numbers, environment details (OS, browser, Node version, etc.), package versions, configuration settings, file structure context, related technologies in the stack, deployment environment, timing issues, race conditions, performance characteristics, memory usage patterns, network conditions, authentication/authorization context, database schema details if relevant, API endpoint specifics, third-party service integrations, build tool configurations, linting/formatting setup, testing framework details, any async/sync considerations, concurrency patterns, state management approach, data flow architecture, component hierarchy, prop drilling issues, re-render triggers, lifecycle considerations, event handling specifics, CSS/styling approach if relevant, responsive design considerations, accessibility concerns mentioned, browser compatibility issues, polyfill requirements, bundler configuration, code splitting strategy, lazy loading patterns, caching strategies, API rate limiting, error boundaries, fallback UI, loading states, error handling patterns, validation logic, form handling approach, routing configuration, middleware setup, security considerations, CORS settings, cookie/session handling, WebSocket usage, real-time update patterns, optimization techniques tried, profiling results, debugging steps taken, console output details, network tab observations, React DevTools insights, Redux DevTools data if applicable, and any other contextual information that could help match similar problems in the future. Include conversational context like 'user mentioned they are a beginner' or 'user is working on a production app with 10k users' or 'tight deadline' or 'refactoring legacy code'. The more context, the better the matching.]",
"tags": [ "[technology]", "[framework]", "[concept]", "[error-type]" ],
"created_at": "[ISO 8601 timestamp]" }
Find Soltuion JSON Schema :
{ "solution_id": "[unique-id-from-share-link]", "share_link": "[https://claude.ai/share/...]", "type": "find",
"title": "[Brief descriptive title of the problem - e.g., 'React useEffect Causing Infinite Renders']",
"problem": "[1-2 sentence description of the core issue they're facing]",
"context": "[Summarized overview in ~200 words: What is the issue? What's not working? What's the current behavior vs expected behavior? What are they trying to accomplish?]",
"technical_description": "[Detailed technical explanation of what's happening: What seems to be the root cause based on current understanding? What are the symptoms? What's the technical nature of the problem? Include any hypotheses about what might be wrong.]",
"solution": null,
"summary": "[Brief 2-3 sentence summary of the problem: what they're trying to do → what's going wrong → current status]",
"error_messages": [ "[Exact error message 1]", "[Exact error message 2]" ],
"attempted_solutions": [ "[What they tried #1 and the result]", "[What they tried #2 and the result]" ],
"code_snippets": [ { "description": "[e.g., 'Current broken implementation', 'First attempted fix that failed']", "code": "[The actual code]" } ],
"technical_deep_context": "[Extract MAXIMUM information from the chat for future similarity matching: Include all technical details, edge cases mentioned, specific version numbers, environment details (OS, browser, Node version, etc.), package versions, configuration settings, file structure context, related technologies in the stack, deployment environment, timing issues, race conditions, performance characteristics, memory usage patterns, network conditions, authentication/authorization context, database schema details if relevant, API endpoint specifics, third-party service integrations, build tool configurations, linting/formatting setup, testing framework details, any async/sync considerations, concurrency patterns, state management approach, data flow architecture, component hierarchy, prop drilling issues, re-render triggers, lifecycle considerations, event handling specifics, CSS/styling approach if relevant, responsive design considerations, accessibility concerns mentioned, browser compatibility issues, polyfill requirements, bundler configuration, code splitting strategy, lazy loading patterns, caching strategies, API rate limiting, error boundaries, fallback UI, loading states, error handling patterns, validation logic, form handling approach, routing configuration, middleware setup, security considerations, CORS settings, cookie/session handling, WebSocket usage, real-time update patterns, optimization techniques tried, profiling results, debugging steps taken, console output details, network tab observations, React DevTools insights, Redux DevTools data if applicable, and any other contextual information that could help match similar problems in the future. Include conversational context like 'user mentioned they are a beginner' or 'user is working on a production app with 10k users' or 'tight deadline' or 'refactoring legacy code'. The more context, the better the matching.]",
"tags": [ "[technology]", "[framework]", "[concept]", "[error-type]" ],
"created_at": "[ISO 8601 timestamp]" }