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Multi-agent collaboration plugin that spawns N parallel subagents competing on the same task via git worktree isolation. Agents work independently, results are evaluated by metric or LLM judge, and the best branch is merged. Use when: user wants multiple approaches tried in parallel — code optimization, content variation, research exploration, or any task that benefits from parallel competition. Requires: a git repo.

App Store Optimization (ASO) toolkit for researching keywords, analyzing competitor rankings, generating metadata suggestions, and improving app visibility on Apple App Store and Google Play Store. Use when the user asks about ASO, app store rankings, app metadata, app titles and descriptions, app store listings, app visibility, or mobile app marketing on iOS or Android. Supports keyword research and scoring, competitor keyword analysis, metadata optimization, A/B test planning, launch checkl...

Autonomous experiment loop that optimizes any file by a measurable metric. Inspired by Karpathy's autoresearch. The agent edits a target file, runs a fixed evaluation, keeps improvements (git commit), discards failures (git reset), and loops indefinitely. Use when: user wants to optimize code speed, reduce bundle/image size, improve test pass rate, optimize prompts, improve content quality (headlines, copy, CTR), or run any measurable improvement loop. Requires: a target file, an evaluation c...

Strategic context window compaction: compact after research before implementation, after milestones before next phase, after debugging before feature work, after failed approaches before new ones. Never mid-implementation.

Neural search via Exa MCP: web search, code examples, company intel, people lookup, and AI-powered deep research with semantic retrieval.

Conduct market research, competitive analysis, investor due diligence, and industry intelligence with source attribution and decision-oriented summaries. Market sizing, competitor comparisons, fund research, and technology scans.

Multi-source deep research using web search and retrieval MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution for any research topic.

Research-before-coding workflow: search for existing tools, libraries, and patterns before writing custom code. Invokes researcher agent to prevent reinventing solutions that already exist.

Web search synthesis with source attribution

Search for existing solutions before writing custom code