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 operator layer - 67 agents, 271 skills, 92 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
v9.44.1 — Patch release for Gemini environment/version detection and qwen auth gating. Run /octo:setup.
AI-powered development tools for code review, research, design, and workflow automation.
Superpowers Plus core skills library for Claude Code: planning, execution routing, TDD, debugging, and collaboration workflows