By Galaxy-Dawn
Semi-automated research assistant for academic ML/AI research and software development, enabling literature review with Zotero integration, paper writing with Nature/NeurIPS templates, experiment analysis with statistical validation, and Obsidian-based project knowledge management, plus code quality enforcement and CI workflows.
Provide development estimates for tasks, features, or projects with intelligent analysis
Provide clear explanations of code, concepts, and system behavior with educational clarity
Git operations with intelligent commit messages and workflow optimization
List all available /sc commands and their functionality
Feature and code implementation with intelligent persona activation and MCP integration
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.
Executes bash commands
Hook triggers when Bash tool is used
Modifies files
Hook triggers on file write and edit operations
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Uses power tools
Uses Bash, Write, or Edit tools
Uses power tools
Uses Bash, Write, or Edit tools
Has parse errors
Some configuration could not be fully parsed
Has parse errors
Some configuration could not be fully parsed
No model invocation
Executes directly as bash, bypassing the AI model
No model invocation
Executes directly as bash, bypassing the AI model
Semi-automated research assistant for academic research and software development, especially for computer science and AI researchers. Supports Claude Code, Codex CLI, Kimi Code CLI, and OpenCode across literature review, coding, experiments, reporting, writing, and project knowledge management.
Branch note: the main branch is the Claude Code workflow. If you use Codex CLI, please see the codex branch. If you use Kimi Code CLI, please see the kimi branch. If you use OpenCode, please see the opencode branch.
kimi branch as the Kimi Code CLI edition of Claude Scholar and thank the Kimi team for their strong support of this project.expression-skill made the communication core, planning-with-files restored as the default persistence layer, and the Nature writing stack expanded — made expression-skill the explicit conclusion-first discipline for reporting, planning, file operations, and multi-step technical work; reintroduced planning-with-files as the default on-disk planning and progress-tracking workflow for complex tasks; introduced nature-writing for section drafting and argument construction; refreshed nature-polishing to the latest upstream article-pattern release; and kept nature-response plus nature-data in the journal-writing stack.Sources/Papers routing tightened — added a shared research-contract.md for Evidence Records, claim strength, and Claim Promotion Gates; connected research ideation, Zotero ingestion, literature synthesis, results reporting, writing, and rebuttal workflows to that contract; and clarified that project paper notes live under Sources/Papers before promoted claims move into Knowledge or Writing.CLAUDE.md / AGENTS.md files with compact core instructions, pruned the default agent set to the retained core agents, added safe install-state based uninstall support, generalized daily-paper-generator to broader topics with arXiv / bioRxiv support and a fixed Top 10 -> Top 3 -> Top 1 selection flow.npx claudepluginhub galaxy-dawn/claude-scholar --plugin claude-scholar完整学术流水线 — 从 idea 到论文的全流程编排:状态机追踪、完整性验证、claim 校验
11 research-hub skills: literature triage matrix, context compression, project orientation, design dialog, multi-AI routing, NotebookLM brief verification, paper-memory builder, paper summarizer, Zotero curator, the gap-to-topic decision dossier, and the research-hub orchestrator. Auto-discovered from skills/<name>/SKILL.md.
Production-grade academic research pipeline for Claude Code: research → write → review → revise → finalize. 4 skills, 27 modes, 39-agent ensemble, v3.7.3 + v3.8 L3 claim-faithfulness gate, v3.9.0 cross-index triangulation, v3.10 triangulation policy layer, v3.11 deterministic citation verification gate (#182).
Oh My Paper research harness: memory system, Codex delegation, and pipeline commands for academic research projects.
Academic research agents — hypothesis generation, experiment design, paper drafting, peer review simulation, and more.
Multi-agent orchestrator for academic writing: 12 specialist agents and 30 writing principles for review, research, drafting, polishing, bibliography auditing, and literature surveys.