Review a PR or branch diff using the knowledge graph for full structural context. Outputs a structured review with blast-radius analysis.
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See how to installReview the instructions the agent will receive before you install.
Perform a comprehensive code review of a pull request or branch diff using the knowledge graph.
Token optimization: Before starting, call get_docs_section_tool(section_name="review-pr") for the optimized workflow. Never include full files unless explicitly asked.
Identify the changes for the PR:
git diff main...<branch> to get changed filesUpdate the graph by calling build_or_update_graph_tool(base="main") to ensure the graph reflects the current state.
Get the full review context by calling get_review_context_tool(base="main"):
main (or the specified base branch) as the diff baseAnalyze impact by calling get_impact_radius_tool(base="main"):
Deep-dive each changed file:
query_graph_tool(pattern="callers_of", target=<func>) for high-risk functionsquery_graph_tool(pattern="tests_for", target=<func>) to verify test coverageGenerate structured review output:
## PR Review: <title>
### Summary
<1-3 sentence overview>
### Risk Assessment
- **Overall risk**: Low / Medium / High
- **Blast radius**: X files, Y functions impacted
- **Test coverage**: N changed functions covered / M total
### File-by-File Review
#### <file_path>
- Changes: <description>
- Impact: <who depends on this>
- Issues: <bugs, style, concerns>
### Missing Tests
- <function_name> in <file> - no test coverage found
### Recommendations
1. <actionable suggestion>
2. <actionable suggestion>
semantic_search_nodes_tool to find related code the PR might have missedNo reviews yet. Tell others what you thought.
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Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in, and reading/injecting secrets for commands.
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Use this skill when the user requests to review, analyze, critique, or summarize academic papers, research articles, preprints, or scientific publications. Supports comprehensive structured reviews covering methodology assessment, contribution evaluation, literature positioning, and constructive feedback generation. Trigger on queries involving paper URLs, uploaded PDFs, arXiv links, or requests like "review this paper", "analyze this research", "summarize this study", or "write a peer review".
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Add descriptions for new models from the HuggingFace router to chat-ui configuration. Use when new models are released on the router and need descriptions added to prod.yaml and dev.yaml. Triggers on requests like "add new model descriptions", "update models from router", "sync models", or when explicitly invoking /add-model-descriptions.
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Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
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Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search applications.
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Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience.
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