Search Results

Capture architectural decisions as structured ADRs during development sessions: auto-detect decision moments, record context and alternatives considered, maintain a searchable ADR log for future developers.

Answer Engine Optimization (AEO) skill — optimize content to be cited by AI language models (ChatGPT, Perplexity, Claude, Gemini, Mistral) as authoritative sources. Distinct from SEO — AEO optimizes for citation in LLM-generated responses, not search rankings. Use when planning content for AI-first search audiences, auditing existing content for E-E-A-T signals, tracking which pages get cited by which LLMs, or building a citation-friendly content strategy. Triggers — 'AEO audit', 'optimize fo...

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.

Optimize content to get cited by AI search engines — ChatGPT, Perplexity, Google AI Overviews, Claude, Gemini, Copilot. Use when you want your content to appear in AI-generated answers, not just ranked in blue links. Triggers: 'optimize for AI search', 'get cited by ChatGPT', 'AI Overviews', 'Perplexity citations', 'AI SEO', 'generative search', 'LLM visibility', 'GEO' (generative engine optimization). NOT for traditional SEO ranking (use seo-audit). NOT for content creation (use content-prod...

Optimizes content for AI answer engines and LLM-powered search. Covers structured data, featured snippet targeting, and conversational query matching.

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.

Builds and maintains organizational knowledge bases. Covers taxonomy design, content governance, search optimization, and knowledge decay management.

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.

Reference MCP server wrapping Brave Search API for web and local search with result ranking, filtering, and structured data extraction.

A Model Context Protocol server for Git repository interaction and automation. This server provides tools to read, search, and manipulate Git repositories via Large Language Models.

Reference MCP server for GitHub operations covering repository search, issue/PR management, code analysis, and workflow automation.

Reference MCP server for Google Maps API covering geocoding, directions, place search, elevation data, and distance matrix calculations.

Reference MCP server for Sentry error tracking covering issue search, event analysis, and stacktrace inspection across projects.

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.

Zero-dependency session-aware REPL: session branching, search, export, compaction, and metrics for interactive agent operation.

Use this skill whenever the user wants to do anything with PDF files. This includes reading or extracting text/tables from PDFs, combining or merging multiple PDFs into one, splitting PDFs apart, rotating pages, adding watermarks, creating new PDFs, filling PDF forms, encrypting/decrypting PDFs, extracting images, and OCR on scanned PDFs to make them searchable. If the user mentions a .pdf file or asks to produce one, use this skill.

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.

Semantic web/code/company search

Automate job board searches, filter by your criteria, and receive curated roles via email every morning.

Web search synthesis with source attribution

Session branching, search, compaction

Search for existing solutions before writing custom code

Ingest, index, search, edit video and audio