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# "Explain This Codebase" Onboarder
Automatically generate onboarding documentation for new repositories, including architecture overview, setup steps, and contribution map.
## Problem
Joining a new codebase is slow when critical context is distributed across docs, commits, and unwritten team knowledge.
## Core capabilities
- Detect project structure, key services, and dependency boundaries.
- Generate a newcomer guide: how to run, debug, and test locally.
- Identify important code paths for common tasks and incidents.
- Create role-specific onboarding paths for backend, frontend, or ops.
## MVP scope
- Repository scan with language-aware parsing.
- Onboarding markdown output with linked file references.
- Refresh docs automatically on major structural changes.
## Success criteria
- Reduced time to first meaningful contribution.
- Fewer repetitive onboarding questions in team channels.
## Stretch ideas
- Interactive onboarding checklist with progress tracking.
- Team-specific glossary extraction from code and docs.

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# Research Paper Summarizer
Ingest papers from arXiv links or PDFs and produce structured summaries with methodology, findings, limitations, and practical takeaways.
## Problem
Research is dense and time-consuming to parse, making it hard to extract what matters for real projects.
## Core capabilities
- Parse PDFs and metadata into machine-readable structure.
- Summarize abstract, method, experiments, and conclusions separately.
- Extract risks, assumptions, and reproducibility notes.
- Compare multiple papers on the same topic.
## MVP scope
- arXiv URL and local PDF ingestion.
- Structured output template with citation links.
- Save summaries to markdown knowledge base.
## Success criteria
- Faster literature review cycles.
- Better decision quality when selecting approaches.
## Stretch ideas
- Generate implementation checklists from papers.
- Alert when new papers match tracked themes.

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# Spaced Repetition Study Agent
Transform raw study notes into spaced-repetition cards and schedule reviews at optimal intervals for long-term retention.
## Problem
Most notes are never revisited effectively, causing fast forgetting despite significant study effort.
## Core capabilities
- Extract concepts and question-answer pairs from notes.
- Generate flashcards with difficulty ratings.
- Schedule reviews using adaptive spaced-repetition algorithms.
- Send reminders and track retention performance.
## MVP scope
- Markdown note ingestion.
- Card generation with human edit pass.
- Daily review queue and retention analytics.
## Success criteria
- Higher recall over longer periods.
- Consistent review habit with manageable daily workload.
## Stretch ideas
- Speech quiz mode for active recall while walking.
- Cross-topic linking to reinforce related concepts.