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Found 2,658 Skills
ABSOLUTE MUST to debug and inspect LLM/AI agent traces using PostHog's MCP tools. Use when the user pastes a trace URL (e.g. /llm-observability/traces/<id>), asks to debug a trace, figure out what went wrong, check if an agent used a tool correctly, verify context/files were surfaced, inspect subagent behavior, investigate LLM decisions, or analyze token usage and costs.
Use the Paragraph CLI and MCP server to manage posts, publications, subscribers, and coins on paragraph.com. Trigger when the user asks to publish, create, update, or manage newsletter content on Paragraph via CLI or MCP.
Evaluates which SaaS tools can be replaced with AI agents. Takes a list of current SaaS subscriptions with costs, assesses replacement feasibility, estimates build vs buy economics, identifies Claude+MCP alternatives, and generates a comprehensive replacement plan with priority matrix, ROI analysis, implementation timeline, and risk assessment.
Review failed Exarchos MCP tool calls from the current session, diagnose root causes, and categorize into code bug, documentation issue, or user error. Use when the user says 'dogfood', 'review failures', 'what went wrong', 'triage errors', or runs /dogfood. Scopes exclusively to Exarchos tools (exarchos_workflow, exarchos_event, exarchos_orchestrate, exarchos_view, exarchos_sync). Do NOT use for debugging application code or non-Exarchos tool failures.
Printing Press CLI/MCP for confirmed TikTok Shop Seller APIs. Safe v1 supports auth readiness, token exchange/refresh, read-only shops/orders/products/inventory/package/warehouse commands, and defers risky mutations.
Retrieve ESG ratings and scores using Octagon MCP. Use when analyzing Environmental, Social, and Governance ratings, MSCI ESG ratings, Sustainalytics risk ratings, industry ESG rankings, and sustainability metrics for any public company.
Retrieve sector P/E ratios using Octagon MCP. Use when comparing company valuations to sector benchmarks, analyzing sector valuations across exchanges, and understanding market-wide valuation trends.
AI image generation and editing for blog content powered by Gemini via MCP. Claude acts as Creative Director - interpreting intent, selecting domain expertise, constructing optimized 6-component prompts (Subject + Action + Context + Composition + Lighting + Style), and orchestrating Gemini for blog-quality results. Generates hero images, inline illustrations, social preview cards, and OG images. Edits existing blog images. Supports 6 blog-optimized domain modes (Editorial, Product, Landscape, UI/Web, Infographic, Abstract). Works standalone via /blog image or internally from blog-write and blog-rewrite workflows. Falls back gracefully when MCP is not configured. Use when user says "blog image", "generate hero image", "blog illustration", "social card", "generate blog image", "edit blog image", "image generate", "blog cover image", "inline image", "OG image".
Terminal AI coding assistant optimized for DeepSeek v4 with deep thinking, reasoning control, Agent Skills, and MCP integration
Explain core Contentful concepts and route users to the right implementation skill or documentation. Use when users ask conceptual questions, need terminology clarified, want help choosing between APIs (CDA/CMA/CPA/GraphQL), or need guidance on the Contentful MCP server. Also triggers on "Contentful 101", "which Contentful API", "how do I get started", "which skill should I use", "what does X mean in Contentful", "Contentful glossary", "CDA vs CPA", "CDA vs GraphQL", "how does Contentful work", "Contentful architecture", "explain environments", "what are aliases", "content model design", "headless CMS", "Contentful MCP", "MCP server", "set up MCP", "Remix Contentful", "Astro Contentful", "Gatsby Contentful", "SvelteKit Contentful", "Nuxt Contentful". Not for framework-specific implementation (contentful-nextjs), migrations (contentful-migration), personalization (contentful-personalization), or hands-on REST/GraphQL request examples (contentful-api).
Platform-neutral guidance for using Open Computer Use, the open-source Computer Use MCP server and CLI for macOS, Linux, and Windows. Use when an agent needs to install, verify, troubleshoot, configure, or operate Open Computer Use through its native CLI, stdio MCP server, or direct Computer Use tool calls.
OpenAI Responses API for stateful agentic applications with reasoning preservation. Use for MCP integration, built-in tools, background processing, or migrating from Chat Completions.