AI Memory plugin with local-first storage, configurable strictness, and quoth-memory subagent for context summarization. Transforms documentation from 'search and read' to 'automatic memory'.
npx claudepluginhub montinou/quothShow Quoth plugin documentation - skills, tools, prompts, agents, setup, and troubleshooting. Pass a topic argument for specific help.
Initialize Quoth Memory v2 for a project. Creates .quoth/ folder, config.json with strictness/gates, and type files.
Bootstrap Quoth documentation from codebase. Phase 0 configures memory settings, then generates documentation at chosen depth level.
Complete developer workflow toolkit. Includes 34 reference skills, 34 specialized agents, and 21 slash commands covering TDD, debugging, code review, architecture, documentation, refactoring, security, testing, git workflows, API design, performance, UI/UX design, plugin development, and incident response. Full SDLC coverage with MCP integrations.
Universal Claude Code workflow with specialized agents, skills, hooks, and output styles for any software project. Includes orchestrator, code-reviewer, debugger, docs-writer, security-auditor, refactorer, and test-architect agents.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Create skills from documentation folders and project codebases. Review, test, and package Anthropic Agent Skills for Claude.ai and Claude Code. 13 commands including from-docs, from-project, beginner tutorial, interactive wizard, templates, quality auditing, and distribution packaging.
Connect to Atlassian products including Jira and Confluence. Search and create issues, access documentation, manage sprints, and integrate your development workflow with Atlassian's collaboration tools.
AI-powered wiki generator for code repositories. Generates comprehensive, Mermaid-rich documentation with dark-mode VitePress sites, onboarding guides, deep research, and source citations. Inspired by OpenDeepWiki and deepwiki-open.