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Found 131 Skills
Nuclear-grade 16-agent pre-publish release gate. Runs /get-unpublished-changes to detect all changes since last npm release, spawns up to 10 ultrabrain agents for deep per-change analysis, invokes /review-work (5 agents) for holistic review, and 1 oracle for overall release synthesis. Use before EVERY npm publish. Triggers: 'pre-publish review', 'review before publish', 'release review', 'pre-release review', 'ready to publish?', 'can I publish?', 'pre-publish', 'safe to publish', 'publishing review', 'pre-publish check'.
Systematic code maturity assessment using Trail of Bits' 9-category framework. Analyzes codebase for arithmetic safety, auditing practices, access controls, complexity, decentralization, documentation, MEV risks, low-level code, and testing. Produces professional scorecard with evidence-based ratings and actionable recommendations.
Reviews URLSession networking code for iOS/macOS. Covers async/await patterns, request building, error handling, caching, and background sessions.
Code principles audit worker (L3). Checks DRY (7 types), KISS/YAGNI, TODOs, error handling, DI patterns. Returns findings with severity, location, effort, recommendations.
This skill should be used when the user asks to "review code", "review PR", "code review", "audit code", "check for bugs", "security review", "review my changes", "find issues in this code", "review the diff", or asks for pull request review or code audit.
Analytical thinking patterns for comprehensive evaluation, code audits, security analysis, and performance reviews. Provides structured templates for thorough investigation with extended thinking support.
Captures quality metrics baseline (tests, coverage, type errors, linting, dead code) by running quality gates and storing results in memory for regression detection. Use at feature start, before refactor work, or after major changes to establish baseline. Triggers on "capture baseline", "establish baseline", or PROACTIVELY at start of any feature/refactor work. Works with pytest output, pyright errors, ruff warnings, vulture results, and memory MCP server for baseline storage.
Coordinates performance optimization: algorithm, query, and runtime workers in parallel
Checks WHY-not-WHAT, density (15-20%), forbidden content, docstrings quality, actuality, legacy cleanup. Returns findings with severity, location, and recommendations.
OpenHarmony Distributed Soft Bus Code Security Review Expert - Comprehensive inspection of C/C++ code against secure coding standards and logging specifications. Covers over 40 security rules, including key areas such as pointer safety, memory management, lock management, and sensitive information protection. Provides cross-file call analysis and control flow analysis, generating detailed code review reports. Only triggered when user input contains "软总线安全卫士" (Soft Bus Security Guard). ⚠️ Important: This skill is a read-only review tool and does not modify source files.
Provides the complete, verified grep scan command library for auditing React codebases before a React 18.3.1 or React 19 upgrade. Use this skill whenever running a migration audit - for both the react18-auditor and react19-auditor agents. Contains every grep pattern needed to find deprecated APIs, removed APIs, unsafe lifecycle methods, batching vulnerabilities, test file issues, dependency conflicts, and React 19 specific removals. Always use this skill when writing audit scan commands - do not rely on memory for grep syntax, especially for the multi-line async setState patterns which require context flags.
Challenges AI-generated plans, code, designs, and decisions before you commit. Pairs with any other skill as a review layer. Uses pre-mortem analysis, inversion thinking, and Socratic questioning to find what AI missed — blind spots, hidden assumptions, failure modes, and optimistic shortcuts. The skill that asks "are you sure about that?" so you don't have to. Triggers on: "challenge this", "devils advocate", "stress test this plan", "what could go wrong", "poke holes in this", "review this critically", "second opinion on this design", "what am I missing". Use this skill when you need critical review of any AI-generated output, architecture decision, implementation plan, or code before committing to it.