skills/14-luischanci-claude-code-research-starter/dot-claude/skills/commit/SKILL.md
Stage, commit, create PR, and merge to main. Use for the standard commit-PR-merge cycle.
npx skillsauth add brycewang-stanford/Awesome-Agent-Skills-for-Empirical-Research commitInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Perform the full commit-PR-merge cycle.
Check current state:
git status
git diff --stat
git log --oneline -5
Create branch: git checkout -b [descriptive-branch-name]
Stage files:
git add -A)settings.local.json, .env, credentials, large data filesCommit:
$ARGUMENTS as commit message if providedPush and create PR:
git push -u origin [branch-name]
gh pr create --title "[message]" --body "[summary of changes]"
Merge (with user approval):
gh pr merge --merge --delete-branch
git checkout main
git pull
git add -A or git add .tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".
tools
Autonomous multi-round research review loop using MiniMax API. Use when you want to use MiniMax instead of Codex MCP for external review. Trigger with "auto review loop minimax" or "minimax review".
tools
Autonomous research review loop using any OpenAI-compatible LLM API. Configure via llm-chat MCP server or environment variables. Trigger with "auto review loop llm" or "llm review".