Help us improve
Share bugs, ideas, or general feedback.
Share bugs, ideas, or general feedback.
Share bugs, ideas, or general feedback.
By jcmrs
Transforms messy human intent and repository analysis into living operational domain profiles through 6-phase knowledge engineering pipeline
npx claudepluginhub jcmrs/jcmrs-plugins --plugin profile-creatorShare bugs, ideas, or general feedback.
Based on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Compile humans into AI agents through deep interviews. Conducts comprehensive behavioral interviews, analyzes work artifacts via MCP tools, and generates installable Claude Code plugins that embody a person's decision-making, communication style, and expertise.
Interactive feature development workflow from idea to implementation (Requirements → Design → Tasks → Execute)
AI-first project auditor and re-engineer based on the 9 design principles and 7 design patterns from the TechWolf AI-First Bootcamp
/catalog for protocol handbook, /onboard for quick recommendation + protocol learning, /report for Growth Map (usage analysis + insights integration), /dashboard for coverage dashboard, /compose for protocol composition authoring, /sophia for philosopher match (behavioral dimension analysis), /curses for strength-shadow analysis and attitude recommendations
You work with me (Claude) - I guide your workflow and suggest next actions.
Reframes tasks as measurable outcomes using o16g principles. Adds outcome specification, execution guardrails, and validation to any workflow.
Conversational Claude Code plugin for rigorous, multi-perspective technical spec creation using dynamic memory graphs, adaptive workflows, and multi-role analysis. Ideal for Spec Kit methodology and non-technical users.
Procedural Memory System - Learns procedures, processes, and workflows from session experiences, generates project-scoped rules for consistent behavior. Shame on you.
Persistent schema-driven running log with three-component architecture: quick-capture ideas, AI auto-detection, and backlog review librarian
Leverage Google Gemini's CLI for analyzing large codebases beyond typical context limits using @ syntax for file/directory inclusion
Semantic validation and translation between natural language user intent and domain-specific technical implementations. Bridges the gap between human natural language and AI specificity of needs.
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge.
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge.
Sign in to claim