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Found 65 Skills
Use this skill when you need security analysis of Solidity smart contract code. User cases: auditing Solidity contracts, identifying re-entrancy bugs, detecting access control issues, reviewing unsafe external calls, evaluating code before deployment, gate-checking contracts in transaction pipelines, or performing security assessments.
AI 에이전트와 협업하는 에이전틱 개발의 범용 원칙. 분해정복, 컨텍스트 관리, 추상화 수준 선택, 자동화 철학을 정의. 모든 AI 코딩 도구에 적용 가능.
The ultimate autonomous dev pipeline. Combines wavybaby (CoVe verification, skill discovery, MCP tooling) + GSD (roadmaps, phases, plans, discovery, state tracking) + Ralph (autonomous loop with circuit breakers). Generates a PRD, equips itself with the best tools, bootstraps a full GSD .planning/ structure, then runs Ralph to autonomously execute each plan with CoVe-verified code until the milestone is complete.
This skill should be used when the user asks to "verify code", "run verification", "check quality", "validate changes", or before creating a PR. Provides comprehensive verification including build, type check, lint, tests, security scan, and diff review.
Load automatically when user asks to learn Medusa development (e.g., "teach me how to build with medusa", "guide me through medusa", "I want to learn medusa"). Interactive guided tutorial where Claude acts as a coding bootcamp instructor, teaching step-by-step with checkpoints and verification.
A comprehensive verification system for Claude Code sessions.
Run /check-onboarding, then fix the highest priority onboarding issue. Creates one fix per invocation. Invoke again for next issue. Use /log-onboarding-issues to create issues without fixing.
Use when you want to validate changes before committing, or when you need to check all React contribution requirements.
Code review practices with technical rigor and verification gates. Use for receiving feedback, requesting code-reviewer subagent reviews, or preventing false completion claims in pull requests.
Run Rust tests after making changes to verify correctness
Use this skill for mathematical code verification. Use when reviewing math-heavy code, verifying algorithm correctness, checking numerical stability, aligning with mathematical standards. Do not use when general algorithm review - use architecture-review. DO NOT use when: performance optimization - use parseltongue:python-performance.
Verifies code changes by running tests and generation scripts