Summarizes arbitrarily long text (1k-1M words) using recursive map-reduce with any LLM backend. Accepts raw text, markdown, transcripts, articles, codebases, or any plaintext input. Produces one or more output formats: executive summary, section headings with timestamps, YouTube description, Twitter/X posts, title options, thumbnail prompts, blog outlines, pull quotes, and more. Supports focus directives ("focus on the AI parts", "emphasize the business angle") to steer the summary. Pluggable backends: OpenRouter, Ollama, OpenAI, Anthropic, Gemini, or any OpenAI-compatible endpoint. Use this skill when someone says "summarize this", "give me a summary", "TL;DR", "make this shorter", "create a YouTube description", "write a tweet about this", "generate titles", "thumbnail ideas", or provides long text and wants any condensed output.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryContent & writingStars0
About this skill
Summarizes arbitrarily long text (1k-1M words) using recursive map-reduce with any LLM backend. Accepts raw text, markdown, transcripts, articles, codebases, or any plaintext input. Produces one or more output formats: executive summary, section headings with timestamps, YouTube description, Twitter/X posts, title options, thumbnail prompts, blog outlines, pull quotes, and more. Supports focus directives ("focus on the AI parts", "emphasize the business angle") to steer the summary. Pluggable backends: OpenRouter, Ollama, OpenAI, Anthropic, Gemini, or any OpenAI-compatible endpoint. Use this skill when someone says "summarize this", "give me a summary", "TL;DR", "make this shorter", "create a YouTube description", "write a tweet about this", "generate titles", "thumbnail ideas", or provides long text and wants any condensed output.
Quick start
Copy the install prompt. Use the green button above this README.
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Summarizes arbitrarily long text (1k-1M words) using recursive map-reduce with any LLM backend. Accepts raw text, markdown, transcripts, articles, codebases, or any plaintext input. Produces one or more output formats: executive summary, section headings with timestamps, YouTube description, Twitter/X posts, title options, thumbnail prompts, blog outlines, pull quotes, and more. Supports focus directives ("focus on the AI parts", "emphasize the business angle") to steer the summary. Pluggable backends: OpenRouter, Ollama, OpenAI, Anthropic, Gemini, or any OpenAI-compatible endpoint. Use this skill when someone says "summarize this", "give me a summary", "TL;DR", "make this shorter", "create a YouTube description", "write a tweet about this", "generate titles", "thumbnail ideas", or provides long text and wants any condensed output.
About this listing
Category
Content & writing
Reported license
Not specified
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLI