go-api-reviewer

Auto-review Go code for 100+ common mistakes when analyzing .go files, discussing Go patterns, or reviewing PRs with Go code. Checks error handling, concurrency, interfaces, performance, testing, and stdlib usage.

'Instructions for writing Go code following idiomatic Go practices and community standards. Use this when writing or reviewing any code written in Go (Golang).'

This skill should be used when drafting or reviewing Go doc comments so they align with the official Go documentation style and pkgsite rendering rules.

Comprehensive Go engineering guidelines for writing production-quality Go code. This skill should be used when writing Go code, performing Go code reviews, working with Go tools (gopls, golangci-lint, gofmt), or answering questions about Go best practices and patterns. Applies to all Go programming tasks including implementation, refactoring, testing, and debugging.

Expert Go developer specializing in idiomatic patterns, concurrency, error handling, and clean package design. This skill should be used PROACTIVELY when working on any Go code - implementing features, designing APIs, debugging issues, or reviewing code quality. Use unless a more specific subagent role applies.

Define, review, and scaffold Go service directory structures using hexagonal (ports-and-adapters / “jexagonal”) architecture and Go best practices. Use when creating or refactoring Go services, deciding package boundaries, organizing cmd/internal/api/config/deploy/migrations, or choosing layouts for common service types (HTTP REST API, gRPC API, async worker/consumer, scheduled job, CLI, multi-binary repos).

Go language consultant providing guidance on best practices, testing with testify, concurrency patterns, error handling, and technology stack recommendations. Use when answering Go questions, reviewing Go code, or advising on Go implementation approaches.

Review Go code against comprehensive style guide, focusing on critical bugs and important maintainability issues.

Use this skill when writing Go code following the Uber Go Style Guide. Provides comprehensive guidance on idiomatic Go patterns, error handling, concurrency safety, performance optimization, and test-driven development. Covers all critical Uber Go rules including channel sizing, goroutine management, interface design, and proper error handling. Appropriate for any task involving .go files, Go code reviews, refactoring, or implementing Go best practices.

目标进度追踪。查看 3 年/年度/月度/周目标的完成情况，计算百分比，发现停滞目标，连接日常任务与目标。当用户想查看目标进度、更新目标状态时使用。适用于 life-os/ 目录。

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This skill provides comprehensive guidance for optimizing web content and documentation for search engine discoverability based on Google's official SEO Starter Guide. Use this skill when creating new

Use when writing or reviewing technical documentation to follow Google's documentation style guide - https://developers.google.com/style

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Use when blocked, stuck, or needing fresh perspective. Consults GPT experts via Codex CLI with graceful fallback.

GPUI Component project style guide based on gpui-component code patterns. Use when writing new components, reviewing code, or ensuring consistency with existing gpui-component implementations. Covers component structure, trait implementations, naming conventions, and API patterns observed in the actual codebase.

Grades and improves CLAUDE.md (Claude Code) and AGENTS.md (Codex/OpenCode) configuration files. Use when asked to grade, score, evaluate, audit, review, improve, fix, optimize, or refactor agent config files. Triggers on 'grade my CLAUDE.md', 'score my AGENTS.md', 'is my CLAUDE.md too big', 'improve my agent config', 'fix my CLAUDE.md', 'optimize context usage', 'reduce tokens in CLAUDE.md', or 'audit my config files'. Automatically grades both files if present, generates improvement plan, and implements changes on approval.

Expert knowledge of research grant compliance requirements, deliverables tracking, and funder expectations. Use when reviewing work against grant specifications, preparing progress reports, or ensuring alignment with funding requirements from NSF, NIH, EU, and other agencies.

Use when writing or reviewing NIH, NSF, or foundation grant proposals. Invoke when user mentions specific aims, R01, R21, K-series, significance, innovation, approach section, grant writing, proposal review, research strategy, or needs help with fundable hypothesis, reviewer-friendly structure, or compliance with grant guidelines.

Build context-efficient, reusable skills using graph-based workflow orchestration with Claude Code subagents. Combines PocketFlow-inspired graph abstraction with multi-model optimization (Haiku for exploration, Sonnet for analysis). Use when building complex workflows, converting external frameworks to Claude skills, or optimizing for cost and context efficiency.

You are the **Graphite Workflow Expert**. You ensure correct usage of Graphite CLI for stacked pull requests, guiding users through the complete workflow while following best practices.

graphql-reviewer

Comprehensive implementation auditor that grills code quality, plugin structure, consistency, and identifies problems. Use when reviewing increment quality, auditing modules, or analyzing the entire codebase for issues. Spawns parallel subagents for thorough analysis.

Write and validate Grove technical specifications with consistent formatting, ASCII art headers, diagrams, and the Grove voice. Use when creating new specs, reviewing existing specs for completeness, or standardizing spec formatting.

Write effective, maintainable tests that catch real bugs and enable confident refactoring. Use when deciding what to test, reviewing test quality, or writing tests for Grove features. Focuses on philosophy and strategy—pair with javascript-testing for implementation details.

GSAP animation best practices for web design - scroll triggers, performance optimization, accessibility, responsive animations, and testing integration. Use when implementing or reviewing animations on WordPress or any web project.

Graphite (gt) is a CLI tool for managing stacked pull requests - breaking large features into small, incremental changes built on top of each other. This skill provides the mental model, command refer

Proactively audit Cloudflare configurations for security vulnerabilities, resilience gaps, cost traps, AND budget/privacy risks. Use this skill when reviewing wrangler configs, before deployments, investigating issues, or when ANY architecture decision involves Durable Objects, R2, Workers AI, or high-volume operations. This skill PROACTIVELY warns about cost impacts before users ask.

Provides guidance for installing, configuring, and choosing Git graphical interface clients (GitKraken, Sourcetree, GitHub Desktop) across platforms. Compares features, licensing, and workflows. Troubleshoots graphical tool configuration and setup issues. Use when installing Git graphical clients, setting up Git visualization tools, configuring graphical commit tools, choosing between options, or troubleshooting configuration. Covers Windows, macOS, and Linux. All tools are optional and based on user preference.

Comprehensive smart contract development advisor based on Trail of Bits' best practices. Analyzes codebase to generate documentation/specifications, review architecture, check upgradeability patterns, assess implementation quality, identify pitfalls, review dependencies, and evaluate testing. Provides actionable recommendations. (project, gitignored)

以最严格的 Home Assistant Reviewer 视角审查集成代码。

Generates comprehensive, professionally-formatted changelogs for SDL3 HammerEngine from git history. Analyzes code changes, runs tests, includes architect review, and produces detailed documentation following World Update format. Use when documenting updates, preparing releases, or creating detailed change reports.

Create a short summary of recent handoff log entries without modifying the append-only log.

Main coding agent for autonomous harness system. Continues work from previous sessions, implements one feature per session, coordinates with testing and review skills, and maintains clean handoffs via Archon. This is the workhorse of the harness system for multi-session development.

Harness MCP (Model Context Protocol) server integration for AI-powered CD operations, pipeline management, Git repositories, pull requests, code review comments, and bidirectional Jira synchronization

Multi-perspective review supporting code, plan, and scope analysis. Auto-detects review type from context. Use when user mentions reviews, code review, plan review, scope analysis, security, performance, quality checks, PRs, diffs, or change review. Do NOT load for: implementation work, new feature development, bug fixes, or setup.

Use this skill to audit, review, validate, or check the quality of AI assistant configurations including prompt text, prompt files, skills (SKILL.md), plugins, MCP servers, agents, hooks, memory files (AGENTS.md, CLAUDE.md, GEMINI.md), and composite configurations. Evaluates against GPT Prompting Guide best practices.

Production-ready Helm chart creation and review guide. Covers chart structure, ArgoCD/GitOps integration, secrets management, testing strategies, deployment patterns (blue-green, canary), monitoring, and troubleshooting. Use when creating charts, reviewing for security/quality, integrating with ArgoCD, or debugging chart issues.

Conduct comprehensive Helm chart security and quality audits with automated checks for security contexts, resource limits, and production readiness. Use when reviewing pull requests with Helm chart changes, conducting pre-release chart audits, security scanning Helm manifests, validating chart structure and best practices, or preparing charts for production deployment.

Audits Helm charts for anti-patterns, security issues, and best practice violations. Use when asked to audit, review, or check Helm chart quality. Generates a comprehensive report under reports/YYYY-MM-DD/helm-charts-audit.md. (project)

Conduct heuristic evaluations - Nielsen's 10 heuristics, severity ratings, expert review methodology, cognitive walkthrough, and usability inspection.

Design, implement, and maintain applications using hexagonal architecture (ports and adapters). Use when (1) designing new systems requiring clear separation between domain logic and infrastructure, (2) refactoring monolithic or tightly-coupled codebases toward cleaner boundaries, (3) reviewing architecture for dependency rule violations or layer leakage, (4) establishing testing strategies that isolate domain logic, or (5) evaluating whether hexagonal architecture suits a given problem domain.

Implement human-in-the-loop approval flows. Use when adding Slack approvals, dashboard review queues, action gating, or trust-based auto-approval.