Testing & Quality

Monitora o estado, saúde, logs recentes e uso de CPU/memória dos containers N8N via comandos Docker.

Comprehensive audit of all construction data sources and systems. Map data flows, identify silos, assess quality, and create integration roadmap.

Control Little Snitch firewall on macOS. View logs, manage profiles and rule groups, monitor network traffic. Use when the user wants to check firewall activity, enable/disable profiles or blocklists, or troubleshoot network connections.

Manage Coder workspaces and AI coding agent tasks via CLI. List, create, start, stop, and delete workspaces. SSH into workspaces to run commands. Create and monitor AI coding tasks with Claude Code, Aider, or other agents.

Detect hardcoded secrets like API keys, tokens, and passwords in text or code using Expanso Edge pipelines.

Static code analysis tool. Detects security vulnerabilities, code smells, and complexity issues across 17 languages. All analysis runs locally — no code leav...

Analyzes web performance using Chrome DevTools MCP. Measures Core Web Vitals (FCP, LCP, TBT, CLS, Speed Index), identifies render-blocking resources, network dependency chains, layout shifts, caching issues, and accessibility gaps. Use when asked to audit, profile, debug, or optimize page load performance, Lighthouse scores, or site speed.

Dual-mode screen sharing and analysis. Model-agnostic (Gemini/Claude/Qwen3-VL).

Draft or review Chinese official work documents

GitHub 趋势监控 | GitHub Trending Monitor. 获取 GitHub 热门项目、编程语言趋势、开源动态 | Get GitHub trending repos, language trends, open source updates. 触发词：GitHub、trending、开源、热...

Tool discovery and shell one-liner reference for sysadmin, DevOps, and security tasks. AUTO-CONSULT this skill when the user is: troubleshooting network issues, debugging processes, analyzing logs, working with SSL/TLS, managing DNS, testing HTTP endpoints, auditing security, working with containers, writing shell scripts, or asks 'what tool should I use for X'. Source: github.com/trimstray/the-book-of-secret-knowledge

Works as a software developer day to day: turning a ticket into merged, shipped, supported code inside a codebase someone else wrote. Use when landing in an unfamiliar repo and hunting for where the change goes; when scoping, splitting, or estimating work; when a bug has to go from report to verified fix; when tests are missing, slow, or flaky; when a pull request is too big to review or a review has stalled; when a dependency upgrade breaks the build; when a schema change or backfill must ship without downtime; when something works locally but fails in CI or production; when a release needs a rollback plan or a flag; when on call and mitigation has to come before root cause; or when deciding what is reversible. Covers environment parity, security on your own diff, and new services. Not for isolation technique (`debugging`), the transformation catalog (`refactoring`), review analysis (`review-code`), or Git mechanics (`git`).

The definitive security scanner for skills. 18 security checks including prompt injection detection, download-and-execute, privilege escalation, cre...

Multi-step deployment agent for full-stack apps. Build Test GitHub Cloudflare Pages with human approval at each step.

Security scanner and runtime guard for skills, MCP servers, and AI agent workflows. Detects prompt injection, identity hijacking, memory poisoning,...

Security gate for skills. Every new skill MUST pass SkillScan before use. Activate on any install, load, add, evaluate, or safety question about a skill. On...

AI skill for automated UI audits. Evaluate interfaces against proven UX principles for visual hierarchy, accessibility, cognitive load, navigation, and more. Based on Making UX Decisions by Tommy Geoco.

Scaffold, test, document, and debug REST and GraphQL APIs. Use when the user needs to create API endpoints, write integration tests, generate OpenAPI specs, test with curl, mock APIs, or troubleshoot HTTP issues.

Monitor topics of interest and proactively alert when important developments occur. Use when the user wants automated monitoring of specific subjects like pr...

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

Intelligent multi-store memory system with human-like encoding, consolidation, decay, and recall. Use when setting up agent memory, configuring remember/forget triggers, enabling sleep-time reflection, building knowledge graphs, or adding audit trails. Replaces basic flat-file memory with a cognitive architecture featuring episodic, semantic, procedural, and core memory stores. Supports multi-agent systems with shared read, gated write access model. Includes philosophical meta-reflection that deepens understanding over time. Covers MEMORY.md, episode logging, entity graphs, decay scoring, reflection cycles, evolution tracking, and system-wide audit.

Python coding guidelines and best practices. Use when writing, reviewing, or refactoring Python code. Enforces PEP 8 style, syntax validation via py_compile, unit test execution, modern Python versions only (no EOL), uv for dependency management when available, and idiomatic Pythonic patterns.

Ship production code with AI agents through acceptance contracts, micro diffs, red green loops, and deterministic handoff checkpoints.

A clean, reliable system resource monitor for CPU load, RAM, Swap, and Disk usage. Optimized for .