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Found 2,307 Skills
Build applications where agents are first-class citizens. Use this skill when designing autonomous agents, creating MCP tools, implementing self-modifying systems, or building apps where features are outcomes achieved by agents operating in a loop.
Discover and call remote schema-exposed interfaces with UXC. Use when an agent or skill needs to list operations, inspect operation schemas, and execute OpenAPI, GraphQL, gRPC, MCP, or JSON-RPC calls via one CLI contract.
Planhat platform help — Health Scores, Agentic Automation, Revenue Management, CRM Sync, Enduser Tracking, Projects, NPS, REST API, MCP Server. Use when health scores aren't reflecting churn risk, CRM sync is overwriting fields or not pulling data, metrics take hours to build and formulas keep breaking, automation rules aren't triggering, revenue or license data doesn't match Salesforce, enduser tracking isn't capturing product usage, or the Planhat API returns unexpected errors. Do NOT use for general customer success strategy (use /sales-customer-success) or NPS/CSAT survey methodology (use /sales-customer-feedback).
Guides all better-i18n integration decisions — SDK selection (Next.js, React, Expo, Swift, Flutter, Remix), CDN vs GitHub workflow, AI-powered translation management via MCP tools, CLI health checks (scan, doctor, sync), Content CMS (localized models, entries, custom fields), file format conventions (flat / nested / namespaced), key naming, publish flows, and quality analytics. Use whenever building, modifying, or reviewing any localization feature — including i18n setup, adding languages, managing translation keys, publishing, or integrating AI workflows.
Multi-source literature search, citation verification, MeSH search strategy, citation file management (.nbib/.ris/.bib conversion), and reference management (BibTeX, related articles, ID conversion) via MCP tools (PubMed, CrossRef, arXiv). Use when the user needs coordinated multi-step literature workflows beyond a single MCP call.
Manage Harness Software Supply Chain Assurance (SSCA) via MCP. Configure automated SBOM generation with CycloneDX or SPDX formats, set up artifact signing and attestation with Cosign, define supply chain security policies using OPA, and track SLSA provenance levels. Use when asked to generate SBOMs, sign artifacts, enforce supply chain policies, track software provenance, or manage SLSA compliance. Do NOT use for OPA pipeline governance policies (use create-policy instead) or vulnerability scanning (use security-report instead). Trigger phrases: SBOM, software bill of materials, supply chain security, SLSA, artifact signing, cosign, provenance, attestation, CycloneDX, SPDX, supply chain policy.
Fast, accurate code search for AI agents using ~98% fewer tokens than grep+read. Indexes any local or remote repository in under a second (~250ms on CPU, no GPU or API key needed). Supports natural-language and symbol queries, semantic similar-code discovery, and MCP server integration for Claude Code, Codex, Cursor, and OpenCode. Python library available for programmatic use. Triggers on: semble, code search, semantic code search, semble search, token-efficient search, find code, code search mcp, agent code search, semble find-related, semble savings.
Guides users through the process of setting up an ElevenLabs API key for use with ElevenLabs MCP tools. Use when the user needs to configure an ElevenLabs API key, when ElevenLabs tools fail due to missing API key, or when the user mentions needing access to ElevenLabs.
Linear issue management guide. Use when working with Linear issues, creating issues, updating status, or adding comments. Triggers on Linear issue references (LOBE-xxx), issue tracking, or project management tasks. Requires Linear MCP tools to be available.
Guide for Vercel AI SDK v6 implementation patterns including generateText, streamText, ToolLoopAgent, structured output with Output helpers, useChat hook, tool calling, embeddings, middleware, and MCP integration. Use when implementing AI chat interfaces, streaming responses, agentic applications, tool/function calling, text embeddings, workflow patterns, or working with convertToModelMessages and toUIMessageStreamResponse. Activates for AI SDK integration, useChat hook usage, message streaming, agent development, or tool calling tasks.
Browser automation for Kubernetes dashboards and web UIs. Use when interacting with Kubernetes Dashboard, Grafana, ArgoCD UI, or other web interfaces. Requires MCP_BROWSER_ENABLED=true.
This skill provides reusable implementation patterns extracted from the better-chatbot project for custom AI chatbot deployments. Use this skill when building AI chatbots with server action validators, tool abstraction systems, workflow execution, or multi-AI provider integration in your own projects (not contributing to better-chatbot itself). Use when: building AI chatbot features, implementing server action validators, creating tool abstraction layers, setting up multi-AI provider support, building workflow execution systems, adapting better-chatbot patterns to custom projects Keywords: AI chatbot patterns, server action validators, tool abstraction, multi-AI providers, workflow execution, MCP integration, validated actions, tool type checking, Vercel AI SDK patterns, chatbot architecture