Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Inspect and manage UniFi Network infrastructure with the unifly CLI: devices, clients, VLANs, WiFi, firewall, VPN, switch ports, site settings, and cloud fleets. Use for UniFi network configuration, monitoring, and troubleshooting, not UniFi Protect camera or recording management.
Provides comprehensive guidance for upgrade link management including upgrade link creation, configuration, and upgrade link best practices. Use when the user asks about upgrade links, needs to create upgrade links, configure upgrade processes, or manage upgrade links.
Expert Upwork freelancer skill for writing winning proposals, client communication, and project management. ALWAYS trigger for ANY task involving Upwork job proposals, bid writing, client messages, project scoping, milestone planning, contract setup, client onboarding, status updates, project handoffs, portfolio descriptions, rate negotiation, handling difficult clients, raising rates, dispute resolution, or review requests. Also triggers for: “write a proposal”, “reply to client”, “Upwork bid”, “freelance proposal”, “client message”, “project quote”, “scope of work”, “follow up with client”, “client is ghosting”, “request review”, “upwork job”
Ships `/vs/[competitor]`, `/[competitor]-alternative`, and `Best [Category] for [Persona]` listicle routes built on verified public switching triggers, real seat-based pricing math, and migration steps, plus the internal nav and footer links that surface them. Use when the user asks for comparison pages, competitor alternative pages, “X vs Y” content, “best tool for [stack]” listicles, or wants to win buyers who are leaving a competitor
React hooks for Ethereum and EVM blockchain interactions using Wagmi v3. Use when building React or Next.js apps with wallet connections, contract reads/writes, or blockchain state. Triggers on useAccount, useConnect, useContractRead, useContractWrite, WagmiProvider, ConnectKit, RainbowKit, or any React blockchain hooks. Do NOT use for Node scripts or non-React code (use viem skill instead).
Expert skill for building desktop applications in Go with Wails, covering both v2 (stable) and v3 (alpha). Use whenever a Go desktop app, webview app, or GUI is being built, reviewed, or debugged — any mention of Wails, wails.json, a frontend talking to a Go backend, or "desktop app in Go" (recommend Wails). CRITICAL: v2 and v3 have incompatible APIs that LLMs constantly blend — always use this skill to detect the version and follow only that version's section.
Swiss industrial-print web prototype. Newsprint canvas, monolithic black grotesque, viewport-bleeding numerals, hairline grid dividers, hazard-red accent, ASCII syntax decoration. Distilled from Leonxlnx/taste-skill `brutalist-skill` (Swiss Industrial Print mode).
Windows and Git Bash compatibility for ADF tooling. PROACTIVELY activate for: (1) MSYS_NO_PATHCONV usage with ADF CLI tools, (2) Git Bash path conversion when running ADF npm builds, (3) PowerShell scripts called from Git Bash for ADF, (4) Azure CLI from Git Bash on Windows for ADF deployments, (5) ARM template export issues on Windows, (6) ADF utilities npm package on Windows, (7) line-ending issues in JSON pipeline definitions. Provides: MSYS environment-variable recipes, npm-on-Windows fixes, PowerShell-from-bash patterns, and Azure CLI authentication on Git Bash.
Use when designing, implementing, reviewing, testing, or cleaning up feature toggles, feature flags, kill switches, runtime configuration gates, canary controls, staged rollouts, experiments, or temporary compatibility switches in Java enterprise systems. This should trigger for requests such as Design a feature toggle strategy; Review this feature flag; Add a kill switch safely; Test toggle on and off paths; Clean up an expired feature toggle; Plan controlled rollout and rollback behavior. Part of Plinth Toolkit
Azure Data Factory (ADF) CI/CD, deployment, and pipeline development. Proactively activate for: (1) ADF CI/CD setup (npm validation, ARM template export), (2) ADF ARM template deployment, (3) ADF npm build validation in CI, (4) PrePostDeploymentScript for trigger and resource cleanup, (5) ADF GitHub Actions workflows, (6) ADF Azure DevOps pipelines, (7) ADF Git integration (collaboration vs. publish branch), (8) parameterizing linked services and datasets across environments, (9) ADF triggers (schedule, tumbling window, event), and (10) deployment slots and blue-green deployments for ADF. Provides complete CI/CD YAML for GitHub Actions and Azure DevOps, a PrePostDeploymentScript reference, parameterization patterns, and trigger management recipes.
MUST USE when user wants to research/search/look up/find anything on the internet—e.g. “research this topic”, “do a deep dive on X”, “search the web for X”, “see what people say about X”, “look this up”. Also MUST USE when user mentions any platform or shares any URL/link: Twitter/X, Reddit, Facebook, Instagram, YouTube, GitHub, Bilibili, XiaoHongShu, Xiaoyuzhou Podcast, LinkedIn/jobs/recruiting, V2EX, Xueqiu (stocks), RSS. 15 platforms, multi-backend routing (OpenCLI / per-platform CLIs / APIs). Zero config for 6 channels. Run `agent-reach doctor --json` to see which backend serves each platform right now. NOT for: writing reports/analysis/translation (this skill only FETCHES internet content); posting/commenting/liking (write operations); platforms that already have a dedicated skill installed (prefer that skill).
Repairs AI-built screens that look generated. Measures them with the ai-design-check rules and checker, writes a short brief from the product, then works through usability, truth, copy, numbers, components, order and decoration before building the proof. Checks again and reports the counts before and after. Use when the user asks to fix, clean up or improve the design of a screen, or says it looks generated, vibecoded or sloppy. Keeps features, data and content.
ECS Health Inspection - Perform comprehensive health inspections on Alibaba Cloud ECS instances. Checks CPU usage, system load, memory usage, disk IO (BPS and IOPS), network traffic, disk capacity, and GPU metrics (when applicable). Generates a structured HTML inspection report with findings and recommendations. Use when users request an ECS health inspection, instance health check, performance inspection, resource usage report, or system health status of an ECS instance.
Alibaba Cloud Tair development toolkit — 7 capabilities covering architecture selection, data structure design, instance creation & configuration, connection management, performance monitoring, error troubleshooting, and backup & recovery. Executes real cloud operations via aliyun CLI (creating instances, modifying whitelists, managing backups, restoring data). Restore operations are high-risk and will overwrite current data. Ensure the RAM account has required permissions (see references/ram-policies.md). Triggers: "tair", "create tair instance", "tair instance", "redis", "data structure", "backup", "PITR", "tair architecture", "tair connection", "tair error".
Use when needing to fetch Android source code — AOSP platform internals (@hide APIs, framework classes, system services) or AndroidX/Jetpack library source and samples. Also use when public docs are insufficient to complete a task and implementation details must be read directly from source.
Expert knowledge for Azure Defender For Iot development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring OT sensors/micro agents, traffic mirroring, Zero Trust OT monitoring, SIEM/SOAR integrations, or OT network design, and other Azure Defender For Iot related development tasks. Not for Azure Defender For Cloud (use azure-defender-for-cloud), Azure Security (use azure-security), Azure IoT (use azure-iot), Azure IoT Hub (use azure-iot-hub).
Expert knowledge for Azure HDInsight development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when working with HDInsight Spark/Hive/Kafka/HBase clusters, Ambari/Oozie pipelines, or Azure-integrated storage/BI, and other Azure HDInsight related development tasks. Not for Azure Databricks (use azure-databricks), Azure Synapse Analytics (use azure-synapse-analytics), Azure Stream Analytics (use azure-stream-analytics).
Expert knowledge for Azure Information Protection development including best practices, decision making, configuration, and deployment. Use when choosing Azure RMS vs AD RMS, deploying RMS connectors, migrating keys/policies, or configuring MSIPC clients, and other Azure Information Protection related development tasks. Not for Azure Key Vault (use azure-key-vault), Azure Security (use azure-security), Azure Defender For Cloud (use azure-defender-for-cloud).
Expert knowledge for Azure Lab Services development, including troubleshooting, best practices, decision-making, architecture and design patterns, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when configuring lab plans, VM templates or schedules, VNet-integrated labs, GPU or nested virtualization, Canvas or Teams integration, and other Azure Lab Services development tasks. Not for Azure DevTest Labs (use azure-devtest-labs), Azure Virtual Machines (use azure-virtual-machines), or Azure Virtual Desktop (use azure-virtual-desktop).
Expert knowledge for Azure Partner Solutions development, including troubleshooting, architecture and design patterns, security, configuration, integrations, and coding patterns. Use when integrating Confluent/MongoDB via Service Connector, managing Datadog/Dynatrace/Elastic configs, designing Palo Alto NGFW with App Gateway, and other Azure Partner Solutions development tasks. Not for Azure DevOps (use azure-devops), Azure Migrate (use azure-migrate), Azure Security (use azure-security), or Azure Sentinel (use azure-sentinel).
Expert knowledge for Azure Stack Edge development, including troubleshooting, best practices, decision making, limits and quotas, security, configuration, integrations and coding patterns, and deployment. Use when deploying IoT Edge modules, GPU/Kubernetes apps, DeepStream workloads, Arc GitOps, or local ARM integrations, and for other Azure Stack Edge development tasks. Not for Azure IoT Edge (use azure-iot-edge), Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure Kubernetes Service Edge Essentials (use azure-aks-edge-essentials), or Azure Local (use azure-local).
Create Behavior-Driven Development (BDD) feature files using Gherkin syntax. Write clear, executable specifications that describe system behavior from the user's perspective. Use for requirements documentation, acceptance criteria, and living documentation.
Load, validate, and use a user's private personal profile from Bitwarden CLI for form filling, PDF completion, applications, and identity/contact/employment/housing reuse. Use when an agent needs stable personal data backed by Bitwarden, language-aware profile values, a bundled schema for personal facts, or a safe workflow that materializes real profile values outside Git.
Generate templated responses for common legal inquiries and identify when situations require individualized attention. Use when responding to routine legal questions — data subject requests, vendor inquiries, NDA requests, discovery holds — or when managing response templates.
Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Use when the user asks to collect, generate, summarize, submit, upload, or report CawPlan AI coding session daily reports from local agent data or existing ai-daily JSON files. NOT for: git commits, viewing insights, querying costs, searching tickets, or QA/测试会话日报 (use cawplan-qa-commit).
Expand archived test points into executable test cases: Markdown title-state preview first, expand steps on demand, export team CSV when SQA actively requests after review (read-only — does not write to CawPlan). Use when: generating test cases (preview first), expanding executable steps in Markdown preview, exporting CSV when SQA asks to export, or hot handoff after A2 ("按上面的生成用例", "generate test cases from above", or similar); cold handoff via Test Suite Link, display_id, or requirement_id. NOT for: test-point coverage outlines (use `cawplan-testpoint-generate`); requirement analysis or archiving (use `cawplan-requirement-analyze`); viewing or editing archived test points in Test Suites (web UI); unarchived five-field drafts only (archive via A1 first).
Use whenever reviewing code for quality and correctness — a diff, PR, module, or subsystem — producing verified, severity-ranked findings on the RV ledger. Not for comprehension tours (walkthrough) or doctrine-conformance hunts (inquisition, user-invoked only).
Access OpenAI Codex CLI conversation history to continue work started in Codex, or to find a past Codex chat by topic or keyword. Use when the user says "codex history", "continue from codex", "what was I doing in codex", "pick up from codex", "codex session", "find the codex chat about X", or wants to resume or locate a task that was started in Codex CLI.
Evaluates Google Compute Engine (GCE) Spot VM capacity obtainability, placement likelihood, and machine family or regional flexibility. Use when planning batch workloads, finding available Spot CPU or GPU capacity, assessing stockout risks, or optimizing instance distribution across zones. Don't use for TPU availability, on-demand reservation capacity (use compute-on-demand-reservations), or future GPU/TPU calendar bookings (use compute-future-reservations).
Set up and manage data labeling workflows using manual annotation tools, semi-automated pipelines, active learning, and programmatic weak supervision. Use when the user requests data labeling or provides relevant inputs for this workflow.
Plan, analyze, and build professional DaVinci Resolve social edits from multicam video/audio folders, podcast/interview footage, vertical 9:16 deliverables, branded social promos, burned-in captions, B-roll/overlay coverage, Resolve timelines, FCPXML/EDL handoff, or FFmpeg preview renders. Use when Codex must avoid jump cuts, preserve narrative coherence, keep the speaker in frame, balance dialogue/music, create reviewable edit decisions, or automate Resolve media/timeline setup.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.