21 skills published by alibaba across 2 repositories. Together they weigh 63 717 tokens — that is what loading all of them at once would cost you in context.
21 skills 63 717 tokens total
> Performs AI-powered code review on Git changes using the `ocr` CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply fixes when requested. With appropriate review rules, can detect various types of issues including bugs, security vulnerabilities, performance problems, and code quality concerns.
> Performs AI-powered code review on Git changes using the `ocr` CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply fixes when requested. With appropriate review rules, can detect various types of issues including bugs, security vulnerabilities, performance problems, and code quality concerns.
> Delegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review rule resolution. Use when the host agent should drive the review with its own LLM capabilities.
> Delegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review rule resolution. Use when the host agent should drive the review with its own LLM capabilities.
Triggered when the user submits code or requests a comprehensive code quality analysis. Automatically performs static analysis, code review, and quality scoring. Analysis covers coding standards, potential bugs, performance issues, and security vulnerabilities. Trigger phrases include "analyze code quality", "comprehensive check", "code score".
Reviews code and provides detailed quality assessment
Triggered when the user submits code or requests a code review. Automatically analyzes code quality, identifies potential bugs, security vulnerabilities, and performance issues, and provides improvement suggestions. Trigger phrases include "take a look at this code", "review this", "is there a problem with this function".
Triggered when the user needs to convert data formats, such as CSV to JSON, JSON to YAML, or XML to JSON. Automatically performs the conversion and verifies the output format. Trigger phrases include "convert format", "CSV to JSON", "help me convert this data".
Triggered when the user needs to organize project files, analyze directory structure, or generate a project report. Use MCP tools to read file contents and produce a structured organization report. Trigger phrases include "help me organize this project", "look at the directory structure", "generate a project summary".
A skill with potentially flaky behavior for testing retry
Analyzes git repositories and commit history
Per-case mocked MCP override smoke skill used by skill-up e2e tests.
MCP mocked marker smoke skill used by skill-up e2e tests.
MCP stdio marker smoke skill used by skill-up e2e tests.
Triggered when the user expresses boredom, low mood, frustration, irritation, or a need to relax. Responds with warm words of comfort and tells a joke to lighten the atmosphere. Trigger phrases include "I'm so bored", "feeling down", "so frustrated", "gloomy", "not happy", "I'm tired".
Quickly produces accurate calculation results when a user needs arithmetic, unit conversion, or mathematical formula solving. Triggered when users say things like "help me calculate", "compute", "how much is", etc.
Verify Sandbox MCP can be installed and called from skill-up.
SDD-RIPER workflow executor with phase gating
Create, run, diagnose, and iteratively improve Agent Skill evaluations (evals) with the skill-up CLI / 使用 skill-up CLI 创建、运行、诊断并持续改进 Agent Skill 评测. Use when the user asks to evaluate, test, regress, verify, fix, improve, iterate, or evolve a Skill; add or strengthen eval cases; write eval.yaml/case.yaml; run skill-up run/validate/list-cases/report/import/init; or migrate from Anthropic evals.json. Handles Skill discovery, eval scaffolding, judge authoring, validation, runs, reports, and evidence-based repair loops.