By jcmrs
Co-create rigorous multi-perspective technical specs for GitHub projects through conversational AI, using dynamic memory graphs, adaptive workflows, and multi-role analysis for Spec Kit methodology.
Uses power tools
Uses Bash, Write, or Edit tools
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npx claudepluginhub jcmrs/claude-code-spec-kit-subagent-pluginProcedural 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
Transforms messy human intent and repository analysis into living operational domain profiles through 6-phase knowledge engineering pipeline
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.
Harness-native ECC plugin for engineering teams - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, MCP conventions, and operator workflows for Claude Code plus adjacent agent harnesses
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
v9.44.1 — Patch release for Gemini environment/version detection and qwen auth gating. Run /octo:setup.
Superpowers Plus core skills library for Claude Code: planning, execution routing, TDD, debugging, and collaboration workflows
AI-powered development tools for code review, research, design, and workflow automation.