By rohitg00
Get structured pros/cons/effort analysis of multiple implementation approaches with a reasoned recommendation to decide a technical direction.
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Persistent memory for AI coding agents -- captures tool usage, compresses via LLM, injects context into future sessions. 12 hooks, 41 MCP tools, 4 skills, real-time viewer.
Complete AI coding workflow system. Self-correcting memory + persistent FTS5-indexed research wikis + auto-research loop + multi-LLM council on a single SQLite store. 33 skills, 8 agents, 22 commands, 37 hook scripts across 24 events. Cross-agent via SkillKit.
Complete developer toolkit for Claude Code
Image and visual analysis with screenshot interpretation and text extraction
API design, documentation, and testing with OpenAPI spec generation
npx claudepluginhub rohitg00/awesome-claude-code-toolkit --plugin discussThinking partner for design decisions and architecture brainstorming. Transforms Claude from a solution-provider into a senior engineer thinking partner.
Deep analysis mode with extended reasoning for complex problems
Developer workflow tools: community scanning, technical decision-making
Make AI agents research comparable projects, tradeoffs, costs, and failure conditions before giving build advice.
Collaborative technical discussion with proactive requirements gathering
Use this agent when evaluating new development tools, frameworks, or services for the studio. This agent specializes in rapid tool assessment, comparative analysis, and making recommendations that align with the 6-day development cycle philosophy. Examples:\n\n<example>\nContext: Considering a new framework or library