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$ agentstack add skill-spacefrontiers-ai-overmind-research-summarizer ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
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- ✓ Filesystem access No
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- ✓ Environment & secrets No
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How agent discovery & health will work →About
Research Summarizer
Transform lengthy research materials into clear, actionable summaries.
Instructions
When summarizing research:
- Read Thoroughly: Understand the full context before summarizing
- Identify Core Points: Extract main arguments and findings
- Structure Logically: Organize information hierarchically
- Maintain Accuracy: Don't add or misrepresent information
- Highlight Insights: Emphasize key takeaways
- Provide Context: Include source, date, author when relevant
Summary Structure
Executive Summary (1-2 paragraphs)
High-level overview capturing the essence in 100-150 words.
Key Findings
- Main discovery or argument 1
- Main discovery or argument 2
- Main discovery or argument 3
Detailed Summary
Context/Background
What problem or question is being addressed?
Methodology (for research papers)
How was the research conducted?
Main Points
Organized by theme or section:
Theme 1: [Title]
- Point 1
- Point 2
Theme 2: [Title]
- Point 1
- Point 2
Conclusions
What are the main conclusions or implications?
Actionable Insights
- Insight 1: What you can do with this information
- Insight 2: How to apply these findings
- Insight 3: Next steps or considerations
Limitations/Considerations
- Caveat 1
- Caveat 2
Source Information
- Title: [Full title]
- Author(s): [Names]
- Publication: [Journal/Source]
- Date: [Publication date]
- URL/DOI: [Link if available]
Example: Academic Paper Summary
# Summary: "The Impact of Remote Work on Productivity"
## Executive Summary
This study examines productivity changes in knowledge workers during the shift to remote work. Analysis of 10,000 employees across 50 companies shows a 13% increase in productivity alongside challenges in collaboration and work-life balance. The findings suggest that hybrid models may optimize both productivity and employee satisfaction.
## Key Findings
- Productivity increased 13% on average in remote settings
- Collaboration decreased by 20% in fully remote teams
- 65% of workers reported improved work-life balance
- Meeting time increased by 15% to compensate for reduced informal interaction
## Detailed Summary
### Context
Remote work became widespread during 2020-2021. This study investigates its impact on actual productivity metrics rather than self-reported satisfaction.
### Methodology
- Sample: 10,000 knowledge workers across 50 companies
- Duration: 18-month study period
- Metrics: Completed tasks, code commits, sales numbers, customer support tickets
- Controls: Industry type, company size, job function
### Main Findings
**Productivity Metrics**
- Individual task completion up 13%
- Fewer interruptions cited as primary factor
- Deep work time increased by average 30 minutes/day
**Collaboration Challenges**
- Cross-team projects took 20% longer
- Innovation metrics (new ideas, experiments) decreased 15%
- Onboarding time for new employees increased 25%
**Employee Experience**
- 65% reported better work-life balance
- 45% experienced increased isolation
- 30% struggled with home workspace setup
## Actionable Insights
- Consider hybrid model: 2-3 days remote for deep work, 2-3 days in office for collaboration
- Invest in async communication tools to reduce meeting overhead
- Create structured onboarding for remote environments
- Implement "collaboration days" where entire teams are in office
## Limitations
- Study period during pandemic may not reflect normal remote work
- Knowledge workers only; may not apply to all industries
- Self-selection bias (companies that volunteered may differ)
- Short-term effects observed; long-term impacts unclear
## Source
- **Title**: The Impact of Remote Work on Productivity: A Multi-Industry Analysis
- **Authors**: Smith, J., Johnson, M., Chen, L.
- **Publication**: Journal of Workplace Studies, Vol. 45(2)
- **Date**: March 2023
- **DOI**: 10.xxxx/jws.2023.0234
Summary Types
Technical Paper Summary
Focus on:
- Problem being solved
- Approach/methodology
- Technical innovations
- Results and benchmarks
- Practical applications
Business Report Summary
Focus on:
- Business context and objectives
- Key metrics and findings
- Financial implications
- Recommendations
- Next steps
News Article Summary
Focus on:
- Main event or announcement
- Key stakeholders
- Impact and implications
- Quotes or perspectives
- Timeline
Book Summary
Focus on:
- Main thesis
- Key chapters/sections
- Supporting arguments
- Memorable examples
- Overall conclusions
Guidelines
Be Accurate
- Don't add information not in source
- Don't misrepresent findings
- Quote directly when critical
- Note when paraphrasing vs. quoting
Be Concise
- Eliminate redundancy
- Focus on unique insights
- Cut unnecessary details
- Use clear, direct language
Be Structured
- Use consistent formatting
- Hierarchical organization
- Clear headings
- Bulleted lists for scannability
Be Objective
- Present author's views accurately
- Separate facts from opinions
- Note bias or limitations
- Don't inject personal views
Be Useful
- Highlight actionable information
- Note practical applications
- Include context needed to understand
- Make it easy to reference later
Different Depth Levels
Quick Scan (50 words)
One paragraph capturing absolute essence.
Standard Summary (200-300 words)
Executive summary + key findings + source.
Detailed Summary (500-1000 words)
Full structure with all sections.
Comprehensive Analysis (1000+ words)
Detailed summary + critical analysis + related research + implications.
Multi-Source Synthesis
When summarizing multiple sources:
# Literature Review: [Topic]
## Overview
Synthesis of [number] sources on [topic].
## Common Themes
### Theme 1: [Title]
- Source A found: [finding]
- Source B found: [finding]
- Consensus: [what they agree on]
### Theme 2: [Title]
[Similar structure]
## Conflicting Views
**Question**: [What they disagree about]
- Position 1: [Author] argues [view]
- Position 2: [Author] argues [view]
- Possible explanation: [why they differ]
## Research Gaps
- Gap 1: [What hasn't been studied]
- Gap 2: [What needs more research]
## Key Takeaways
[Synthesized insights from all sources]
Best Practices
While Reading
- Take notes on key points
- Mark important quotes
- Note page numbers for reference
- Identify main arguments early
While Writing
- Start with executive summary last (after understanding full content)
- Use source's structure as guide
- Verify accuracy of technical terms
- Include enough context for standalone reading
After Writing
- Check against original for accuracy
- Ensure all claims are supported
- Verify numbers and statistics
- Read for clarity and flow
- Test: Could someone understand this without reading the original?
Common Pitfalls
- Too Long: Summary shouldn't be half the length of original
- Too Vague: "Interesting findings" vs. specific insights
- Missing Context: Jumping into details without background
- Poor Structure: Stream of consciousness vs. organized
- Bias: Emphasizing points you agree with
- Misrepresentation: Changing meaning through paraphrasing
- No Source Info: Can't find or verify original
- Cherry-Picking: Selecting only supporting evidence
Research-Backed Summarization Science
Cognitive Load and Reading Comprehension
Research on reading comprehension (Brüggemann et al., 2023) reveals important insights:
Cognitive load increases during reading tasks:
- Working memory is a limited resource that depletes during task performance
- Reading comprehension scores and cognitive load are negatively associated - lower performance correlates with higher cognitive load
- Screen vs. paper: No significant difference in cognitive load for short texts
- Text length matters: Longer texts may show screen inferiority due to scrolling overhead
Practical implications for summarization:
- Break long documents into digestible chunks
- Consider cognitive fatigue when processing multiple sources
- Shorter, focused summaries reduce cognitive load on readers
- For digital summaries, optimize for scannable structure
Summarization Skills and Comprehension Achievement
Educational research (Langat & Chepchieng, 2021) demonstrates strong correlation between summarization skills and comprehension:
Key findings from 279 learners:
- 64.2% of high performers regularly summarize to reflect on important information
- Statistical significance (χ² = 27.613, p = 0.006): Achievement strongly associates with summarization practice
- Oral summaries aid understanding: 39.8% use verbal summarization to process content
- Consistency matters: Regular summarizers (52.8%) outperform irregular users (26.8%)
Five critical summarization practices:
- Summarizing to reflect on important information
- Writing brief summaries of main ideas
- Paraphrasing to confirm understanding
- Making oral summaries to aid comprehension
- Creating written summaries for future reference
Evidence-Based Recommendation: Active summarization isn't just output - it's a learning tool. The act of creating summaries deepens comprehension and retention.
Cognitive Processing in Summarization
Research shows effective summarization requires:
- Working memory management: Holding main ideas while filtering details
- Schema activation: Connecting new information to existing knowledge
- Metacognitive monitoring: Awareness of understanding and gaps
- Strategic selection: Identifying importance vs. supporting details
Optimal approach:
- First pass: Read for gist without taking notes
- Second pass: Identify and mark key concepts
- Synthesis: Organize and connect ideas
- Validation: Check summary against original for accuracy
Format Considerations
Digital vs. analog summarization research suggests:
- No cognitive disadvantage for screen-based reading of short texts
- Scrolling impacts emerge with longer documents
- Interactive elements (collapsible sections, hyperlinks) can aid navigation
- Searchability of digital summaries provides advantages for future reference
References
- Brüggemann, T., Ludewig, U., Lorenz, R., & McElvany, N. (2023). "Effects of mode and medium in reading comprehension tests on cognitive load". Computers & Education, 192, 104649.
- Langat, A.C., & Chepchieng, M.C. (2021). "Learners' Summarisation Skills and Their Achievement in Reading Comprehension: A Case of Vihiga County, Kenya". Journal of Education and Practice, 12(15).
- Sweller, J. (1988). "Cognitive load during problem solving: Effects on learning". Cognitive Science, 12(2), 257-285.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: SpaceFrontiers
- Source: SpaceFrontiers/ai-overmind
- License: Apache-2.0
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.