Monitoring
Logging, metrics, and observability
qa-patrol
by tahseen137
Automated QA testing for web apps using local browser automation. Runs entirely on your machine — no data leaves, no cloud services, no external servers. Level 1 (smoke tests) needs only a URL. Level 2 (auth/payment testing) uses optional env vars for test credentials. Level 3 (static analysis, DB checks) optionally reads local files and connects to a user-provided database. Supports Supabase/Firebase auth, Stripe payments, React Native Web, Next.js, and SPAs.
monitor-moodle
by pekka1398
Automated Moodle course data backup, notification tracking, and change detection system.
YouTube Transcripts - Project Skill
by yousufjoyian
Toggle A2UI panel off/on: Forces WebSocket reconnect if sidecar was restarted
seeddance-ai-video
by AshwinRamachandran2002
集成百度SeedDance AI视频生成SDK，支持文本到视频功能
clarify-skill
by maxoreric
澄清用户意图的 Skill。当用户给出模糊想法、需要脑暴、需要讨论设计时触发。触发词：帮我想想、我想做、讨论一下、澄清、clarify。
victor-architecture
by victorqnguyen
Orchestrate software architecture assessment and decision-making across 17 sections. Use this skill whenever the user wants to plan, assess, or build a new application's architecture, compare technology options, assign architecture assessment tasks to agents or team members, track architecture decisions, or resolve cross-cutting architectural concerns. Also trigger when the user mentions "victor-architecture", "architecture review", "tech stack decisions", "system design checklist", or asks agents to evaluate infrastructure, security, testing, observability, or any other architectural layer. This is the MANAGER skill — it coordinates section-level assessments, enforces dependency ordering, resolves conflicts, and maintains the central decision registry.
activity-logger
by tomwangowa
Records work activities from the current session for cross-session aggregation and work log generation
skill-tracker
by jonnyschneider
Internal meta-skill that logs skill usage and updates manifest status. Not user-invocable — called by Claude after every skill execution.
gray-transaction-systems
by copyleftdev
Design data systems using Jim Gray's principles of transaction processing and fault tolerance. Emphasizes ACID properties, recovery mechanisms, and the science of making systems reliable. Use when building databases, payment systems, or any system where data integrity is paramount.
retell
by gracebotly
Mapping guidance for Retell AI voice agent events. Covers call metrics, agent performance, disconnect reasons, and conversation analytics.
rust-router
by lywa1998
"CRITICAL: Use for ALL Rust questions including errors, design, and coding.
monad-swarm-agent
by veithly
"🐝 Monad Swarm Intelligence SubAgent - A decentralized AI agent swarm that coordinates through Monad blockchain for collective decision-making, trading signals, and on-chain collaboration. Built for Moltiverse Hackathon."
distributed-tracing
by TriNgo0108
Implement distributed tracing with Jaeger and Tempo to track requests across microservices and identify performance bottlenecks. Use when debugging microservices, analyzing request flows, or implementing observability for distributed systems.
wsl-embedded-debugging
by APSP-AG
Run embedded build/flash/debug workflows from WSL by invoking Windows executables that own USB/JTAG access (for example cargo.exe, probe-rs.exe, or openocd.exe). Use when an agent must reproduce firmware behavior on hardware, flash an MCU, collect bounded runtime logs, or debug probe connectivity from a WSL workspace.
deployment-observability-smoke
by JsonLee12138
Run post-deployment smoke checks with Makefile targets (remote-status, remote-logs) plus optional health URL checks. Use after deployment to verify runtime state before final acceptance.
grafana
by kontrolplane
Grafana dashboard JSON configuration and alerting. Use when creating or editing dashboard JSON, configuring panels programmatically, setting up Grafana alerting rules, or troubleshooting visualization issues.
phoenix-observability
by mguinada
"Open-source AI observability platform for LLM tracing, evaluation, and monitoring. Use when debugging LLM applications with detailed traces, running evaluations on datasets, monitoring production AI systems, or setting up observability infrastructure for agentic systems. PROACTIVE ACTIVATION: Auto-invoke when implementing observability/tracing for LLM agents, setting up evaluation pipelines, or configuring OpenTelemetry instrumentation. DETECTION: Check for arize-phoenix imports, OpenTelemetry setup, or observability-related code. USE CASES: Debugging LLM apps, running evaluations, monitoring production systems, setting up tracing infrastructure, instrumenting agent frameworks, tracing custom agents with decorators (@tracer.agent, @tracer.chain, @tracer.tool)."
pricing-strategy
by Jackiexiao
"（中文）When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' or 'monetization.' This skill covers pricing research, tier structure, and packaging strategy."
effect-vitest
by tstelzer
Testing Effect programs with vitest. Use when writing tests for effect-based code.
add-page
by xuesongjun
为 Test Studio 添加新页面
technical-writing
by ElementFarmerRouse
Use when drafting or revising internal technical design docs, review notes, architecture writeups, or sharing posts in Chinese, especially when the tone should stay evidence-backed, calm, and suitable for peers or leaders rather than marketing or literary writing.
stats
by rozwer
stats.jsonl からの使用統計を表示します — ツール/スキル使用回数、トップ5、最適化提案。
git-commit
by Chen19007
"智能提交与仓库初始化：自动生成 .gitignore、筛选提交文件、隐私扫描、配置 GitHub SSH 远程。用于初始化仓库、提交变更、设置远程、准备项目版本控制。"
laravel-progressive-learning
by ivanfuhr
Maintain a per-repo guideline that tracks mistakes, corrections, and what works for Laravel/PHP work. Activates EVERY session, unconditionally. Read the guideline before doing anything. Write to it continuously as you work — not just at session boundaries. Log your own mistakes, not just user corrections. The guideline lives in the repo at .ai/guidelines/.