key-takeaways
Extracts and summarizes key takeaways from documents, meeting notes, articles, and other text content. Use when the user asks for summaries, bullet points, main points, highlights, or a TL;DR of any document or body of text. Produces structured outputs such as numbered lists, executive summaries, and action items. Supports configurable output formats including JSON export for downstream use.
npx skills add majiayu000/claude-skill-registry --skill key-takeaways --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Key Takeaways Extracts and presents the most important points from any body of text — meeting notes, articles, reports, or documents — as concise, structured takeaways. Supports multiple output formats and is configurable for audience or depth. ## Quick Start ```python from scripts.main import Key_Takeaways # Initialize tool = Key_Takeaways() # Extract key takeaways from a document result = tool.process("meeting_notes.txt") # Export as structured JSON tool.export(result, format="json") ``` ## Core Capabilities ### 1. Extract key points from text ```python # Read source document and extract top takeaways result = tool.process("quarterly_report.txt") # Returns: [{"point": "Revenue grew 12% YoY", "source_line": 4}, ...] ``` ### 2. Generate structured summaries ```python # Generate a bullet-point executive summary result = tool.process("meeting_notes.txt", style="executive") # Returns: {"summary": "...", "action_items": [...], "decisions": [...]} ``` ### 3. Configure output depth and audience ```python # Adjust number of takeaways and target audience result = tool.process("article.txt", max_points=5, audience="non-technical") ``` ### 4. Export results ```python # Export takeaways to
- Quick Start
- Core Capabilities
- 1. Extract key points from text
- 2. Generate structured summaries
- 3. Configure output depth and audience
- 4. Export results
- CLI Usage
- Example Input / Output
- Quality Checklist
- References
Extract key takeaways from a file python scripts/main.py --input document.txt --output takeaways.txt Use a config file to set depth, audience, and format python scripts/main.py --input document.txt --config config.json --verbose Batch process a directory of documents python scripts/main.py --batch input_dir/ --output output_dir/
What does the key-takeaways skill do?
Extracts and summarizes key takeaways from documents, meeting notes, articles, and other text content. Use when the user asks for summaries, bullet points, main points, highlights, or a TL;DR of any document or body of text. Produces structured outputs such as numbered lists, executive summaries, and action items. Supports configurable output formats including JSON export for downstream use.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill key-takeaways --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.