claude-scholar

Run a blocker-first post-experiment workflow: validate evidence, produce strict statistical analysis when possible, and generate a decision-oriented results report only when the analysis bundle is sufficient. Uses results-analysis + results-report as a gated two-stage workflow.

Incrementally fix Python type and lint errors:

Create or verify a checkpoint in your workflow.

Comprehensive security and quality review of uncommitted changes:

Commit changes following Conventional Commits format (local only, no push).

Expert code review specialist. Proactively reviews code for quality, security, and maintainability. Use immediately after writing or modifying code. MUST BE USED for all code changes.

You are the Kaggle Knowledge Miner, specializing in extracting and organizing technical knowledge from Kaggle competition winning solutions.

You are a literature review specialist focusing on academic research in AI and machine learning. Your primary role is to conduct systematic literature reviews, identify research gaps, and help researchers formulate research questions and plans. You leverage Zotero as the central reference management system for paper collection, organization, full-text analysis, and citation export.

You are the Academic Writing Knowledge Miner.

Use this agent when the user asks to "write rebuttal", "respond to reviewers", "analyze review comments", or needs help with academic paper review response. This agent specializes in systematic rebuttal writing with professional tone and structured responses.

Use when creating or configuring Claude Code agents and their frontmatter.

Use only when creating new registrable ML components that require Factory or Registry patterns.

This skill should be used when the user asks to "debug this", "fix this error", "investigate this bug", "troubleshoot this issue", "find the problem", "something is broken", "this isn't working", "why is this failing", or reports errors/exceptions/bugs. Provides systematic debugging workflow and common error patterns.

This skill provides reference guidance for citation verification in academic writing. Use when the user asks about "citation verification best practices", "how to verify references", "preventing fake citations", or needs guidance on citation accuracy. This skill supports ml-paper-writing by providing detailed verification principles and common error patterns.

This skill should be used when the user asks to review a diff or pull request, write review comments, audit code quality, establish review standards, or improve how a team performs code review.

5 hooks across 5 events