Create effective summaries by matching summarization type to purpose, audience, and context. "Summarize" can mean many different things—this skill helps identify and execute the right approach.
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionsummarizationExecute the skills CLI command in your project's root directory to begin installation:
Fetches summarization from jwynia/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate summarization. Access via /summarization in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
0
total installs
0
this week
46
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
46
stars
Create effective summaries by matching summarization type to purpose, audience, and context. "Summarize" can mean many different things—this skill helps identify and execute the right approach.
Summarization is translation, not just reduction. Different purposes require different summary types. Clarify the need before condensing.
Before summarizing, consider:
Purpose: What will this summary be used for?
Audience: Who will read it?
Scope: How comprehensive?
Emphasis: What aspects are most important?
Format: What structure?
| Type | What It Is | When to Use |
|---|---|---|
| Key Point Extraction | Isolating the most important claims | Original has discrete important points |
| Abstraction | Higher-level statements covering multiple details | Patterns matter more than specifics |
| Gisting | Capturing essential meaning, discarding details | Only core message matters |
| Compression | Shortening while preserving information | Comprehensive coverage needed in less space |
| Type | What It Is | When to Use |
|---|---|---|
| Executive Summary | Business-focused: decisions, recommendations, outcomes | Documents requiring action |
| Abstract/Précis | Academic: methodology and findings | Research papers, technical documents |
| TLDR | Ultra-brief main takeaway | Casual communication, extreme brevity |
| Outline | Hierarchical structure of main/supporting points | Logical structure matters |
| Type | What It Is | When to Use |
|---|---|---|
| Synthesis | Combining multiple sources coherently | Summarizing across documents |
| Critical Summary | Evaluating claims while condensing | Assessment of quality needed |
| Contextual Summary | Framing within broader knowledge | Understanding bigger picture matters |
| Actionable Summary | Focusing on implications and next steps | Summary will drive action |
Example: "The author makes three main arguments: (1)..., (2)..., (3)..."
Example: "Multiple studies consistently show..." instead of listing 12 studies
Example: "Remote work increases productivity for most knowledge workers."
Example: "Across the five reports, three key trends emerge..."
Example: "While the author claims X, the evidence is limited by..."
Problem: Reduces length but not complexity Fix: Focus on what matters, not just what's short
Problem: Changes meaning through compression Fix: Verify summary against original claims
Problem: Same approach for all requests Fix: Match type to purpose and audience
Problem: Loses all useful specifics Fix: Preserve concrete details that support understanding
Inbound:
Outbound:
Complementary:
speech-adaptation: For spoken summariesvoice-analysis: For maintaining voice in summariesMake data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
jwynia/agent-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
summarization fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
summarization reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend summarization for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: summarization is focused, and the summary matches what you get after install.
summarization is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
summarization has been reliable in day-to-day use. Documentation quality is above average for community skills.
summarization has been reliable in day-to-day use. Documentation quality is above average for community skills.
Keeps context tight: summarization is the kind of skill you can hand to a new teammate without a long onboarding doc.
Solid pick for teams standardizing on skills: summarization is focused, and the summary matches what you get after install.
Useful defaults in summarization — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
showing 1-10 of 31