By the-focus-ai
Research topics on the web and generate comprehensive academic-style Markdown reports with thorough source gathering
npx claudepluginhub the-focus-ai/claude-marketplace --plugin focus-agentsA Claude Code plugin for researching topics on the web and generating comprehensive academic-style Markdown reports.
./reports/ folder with date-prefixed filenames/research <topic>
Starts an interactive research session. The plugin will:
./reports/YYYY-MM-DD-topic-name.mdThe web-researcher agent also triggers on natural requests like:
Reports follow an academic structure:
# Add the Focus marketplace (if not already added)
/plugin marketplace add The-Focus-AI/claude-marketplace
# Install the plugin
/plugin install focus-agents@focus-marketplace
Then restart Claude Code.
claude --plugin-dir /path/to/focus-agents
Or copy to your project's .claude-plugin/ directory.
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.
Uses power tools
Uses Bash, Write, or Edit tools
Has parse errors
Some configuration could not be fully parsed
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.
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.
Claude + Obsidian knowledge companion. Sets up a persistent, compounding wiki vault. Covers memory management, session notetaking, knowledge organization, and agent context across projects. Based on Andrej Karpathy's LLM Wiki pattern. Optional DragonScale Memory extension adds hierarchical log folds, deterministic page addresses, embedding-based semantic tiling lint, and boundary-first autoresearch topic selection.
Comprehensive C4 architecture documentation workflow with bottom-up code analysis, component synthesis, container mapping, and context diagram generation
Build and maintain an LLM-curated personal knowledge base in your project — Andrej Karpathy's LLM Wiki pattern, designed to scale to thousands of pages without becoming a context bottleneck. Now with an optional compiled graph layer for typed, provenance-backed relationships.