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Found 1,344 Skills
Install and configure OpenClaw with DingTalk, Feishu, Discord, and additional channels with Bailian/DashScope models on Linux hosts. Use when provisioning a new OpenClaw node, troubleshooting gateway/channel startup, standardizing openclaw.json mapping, or automatically discovering extra channels from https://docs.openclaw.ai/channels.
Specialized skill for building and starting Next.js applications, handling build errors, verifying production builds, and managing development servers. Use when building the application, starting development servers, troubleshooting build issues, or verifying production readiness.
Documentation-driven development specification that requires Agent to consult official documentation and examples before generating code or fixing bugs, including API verification processes, search strategies and MCP invocation rules. It is applicable to scenarios such as accessing third-party libraries, troubleshooting API errors, and version changes.
Guides wallet developers through integrating WalletConnect Pay SDK into mobile wallets (Kotlin, Swift, React Native, Flutter). Use when adding WC Pay payment acceptance, implementing pay link detection, handling USDC payment flows, or troubleshooting Pay SDK integration issues.
A guided, zero-friction installer and maintenance assistant for OpenClaw. Use this skill when the user wants to install OpenClaw, set up OpenClaw on a local machine or remote server, connect OpenClaw to DingTalk, get OpenClaw skill recommendations for their use case, or perform post-installation maintenance (health checks, troubleshooting, installing new skills, changing AI models, adding chat channels, updating OpenClaw). Handles full environment detection, installation, optional DingTalk integration, scene-based skill recommendations, and daily maintenance — all interactively, with no wasted steps.
Build, debug, and deploy Google Agent Development Kit (ADK) applications in Go using the exact adk-go v0.6.0 APIs and patterns. Use when a task involves ADK Go agent architecture, llmagent configuration, tools/toolsets, sessions/state, memory/artifacts, workflow agents, A2A/REST/web serving, telemetry/plugins, or migration/troubleshooting for google.golang.org/adk@v0.6.0.
A comprehensive starting point for AI agents to work with Capacitor. Covers core concepts, CLI, app creation, plugins, framework integration, best practices, storage, security, testing, troubleshooting, upgrading, and Capawesome Cloud (live updates, native builds, app store publishing). Pair with the other Capacitor skills in this collection for deeper topic-specific guidance.
Connect sales tools with webhooks, Zapier/Make, native integrations, and custom API pipelines — CRM sync, event triggers, data mapping, and error handling. Use when connecting Mailshake/Apollo/Salesloft to CRM, setting up webhook pipelines, building Zapier/Make automations for sales workflows, syncing data between tools, or troubleshooting integration issues. Do NOT use for Qwilr-specific automations (use /sales-qwilr-automation), general CRM platform config (use /sales-apollo or /sales-salesloft), or marketing automation flows (use /email-sequence).
Mailchimp platform help — email marketing campaigns, Customer Journey Builder automations, SMS marketing, audience management/CRM, landing pages, A/B testing, multivariate testing, transactional email (Mandrill), Content Studio, generative AI (Intuit Assist), retargeting ads, 300+ integrations. Use when asking 'how do I do X in Mailchimp', setting up Mailchimp campaigns, configuring Customer Journey Builder, managing Mailchimp audiences, using Mandrill transactional email, or troubleshooting Mailchimp deliverability. Do NOT use for general email marketing strategy (use /sales-email-marketing), cross-platform email deliverability (use /sales-deliverability), funnel strategy (use /sales-funnel), or connecting tools via middleware (use /sales-integration).
Use when managing Function Compute AgentRun resources via OpenAPI (runtime, sandbox, model, memory, credentials), including creating runtimes/endpoints, querying status, and troubleshooting AgentRun workflows.
Rslib best practices for config, CLI workflow, output, declaration files, dependency handling, build optimization and toolchain integration. Use when writing, reviewing, or troubleshooting Rslib projects.
Automated, project-wide code coverage and CRAP (Change Risk Anti-Patterns) score analysis for .NET projects with existing unit tests. Auto-detects solution structure, runs coverage collection via `dotnet test` (supports both Microsoft.Testing.Extensions.CodeCoverage and Coverlet), generates reports via ReportGenerator, calculates CRAP scores per method, and surfaces risk hotspots — complex code with low test coverage that is dangerous to modify. Use when the user wants project-wide coverage analysis with risk prioritization, coverage gap identification, CRAP score computation across an entire solution, or to diagnose why coverage is stuck or plateaued and identify what methods are blocking improvement. DO NOT USE FOR: targeted single-method CRAP analysis (use crap-score skill), writing tests, running tests without coverage collection, applying test filters, producing TRX reports, or troubleshooting test execution (use run-tests for all of these).