Audit the active repo, MCP servers, plugins, connectors, env surfaces, and harness setup, then recommend the highest-value ECC-native skills, hooks, agents, and operator workflows. Use when the user wants help setting up Claude Code or understanding what capabilities are actually available in their environment.

Use this skill to prevent destructive operations when working on production systems or running agents autonomously.

Cross-stack source code asset audit — classifies every file, detects embedded third-party libraries, and delivers actionable four-level verdicts per module with interactive HTML reports.

Operate execution flow across GitHub and Linear by triaging issues and pull requests, linking active work, and keeping GitHub public-facing while Linear remains the internal execution layer. Use when the user wants backlog control, PR triage, or GitHub-to-Linear coordination.

Build reusable Manim explainers for technical concepts, graphs, system diagrams, and product walkthroughs, then hand off to the wider ECC video stack if needed. Use when the user wants a clean animated explainer rather than a generic talking-head script.

Discover and evaluate Laravel packages via LaraPlugins.io MCP. Use when the user wants to find plugins, check package health, or assess Laravel/PHP compatibility.

Use this skill to generate or audit design systems, check visual consistency, and review PRs that touch styling.

Trace every user-facing button/touchpoint through its full state change sequence to find bugs where functions individually work but cancel each other out, produce wrong final state, or leave the UI in an inconsistent state. Use when: systematic debugging found no bugs but users report broken buttons, or after any major refactor touching shared state stores.

Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model versions.

Use this skill to monitor a deployed URL for regressions after deploys, merges, or dependency upgrades.

Use this skill to measure performance baselines, detect regressions before/after PRs, and compare stack alternatives.

SwiftUI 架构模式，使用 @Observable 进行状态管理，视图组合，导航，性能优化，以及现代 iOS/macOS UI 最佳实践。

基于协议的依赖注入，用于可测试的Swift代码——使用聚焦协议和Swift Testing模拟文件系统、网络和外部API。

Swift 6.2 可接近的并发性 — 默认单线程，@concurrent 用于显式后台卸载，隔离一致性用于主 actor 类型。

在 Swift 中使用 actor 实现线程安全的数据持久化——基于内存缓存与文件支持的存储，通过设计消除数据竞争。

用于审计Claude技能和命令的质量。支持快速扫描（仅变更技能）和全面盘点模式，采用顺序子代理批量评估。

选择在解析结构化文本时使用正则表达式还是大型语言模型的决策框架——从正则表达式开始，仅在低置信度的边缘情况下添加大型语言模型。

基于RFC驱动的多智能体DAG执行模式，包含质量门、合并队列和工作单元编排。

使用Plankton进行编写时代码质量强制执行——通过钩子在每次文件编辑时自动格式化、代码检查和Claude驱动的修复。

使用Test2::V0、Test::More、prove runner、模拟、Devel::Cover覆盖率和TDD方法的Perl测试模式。

现代 Perl 5.36+ 的惯用法、最佳实践和约定，用于构建稳健、可维护的 Perl 应用程序。

操作并扩展NanoClaw v2，这是ECC基于claude -p构建的零依赖会话感知REPL。

Ktor 服务器模式，包括路由 DSL、插件、身份验证、Koin DI、kotlinx.serialization、WebSockets 和 testApplication 测试。

JetBrains Exposed ORM 模式，包括 DSL 查询、DAO 模式、事务、HikariCP 连接池、Flyway 迁移和仓库模式。