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Explore, analyze, plan, or spec features for the Apify MCP server. Adapts to what the user asks — from quick code exploration to full GitHub issue specs. Use when the user asks to explore code, understand behavior, plan a change, design a feature, or create an issue spec.
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Skill details
Versionv1.0.0
AuthorApify
Categorycoding
Skill IDapify/apify-mcp-server/.claude/skills/dig
Related skills
Bug TriageTriage open GitHub bug issues for Apify MCP server. Fetches issues, analyzes root causes, drafts developer-to-developer responses, and posts after user approval. Use when handling user bug reports, responding to issues, or cleaning up stale bugs.Creating Mcp Agent EvalsUse when adding Langfuse MCP agent evals for a tool family of the Apify MCP server ("create evals for the storage tools"), when eval cases fail and you must decide whether the case, the tool, or its description is at fault, or when eval runs show tool errors in Langfuse traces.Apify Actor DevelopmentCreate, modify, debug, and deploy Apify Actors, and write their input and output schemas. Use when building an Actor from scratch, changing or troubleshooting Actor code, generating or updating .actor schema files, or pushing an Actor to the Apify platform. To wrap an existing non-Actor project, use apify-actorization instead.Apify ActorizationConvert existing projects into Apify Actors - serverless cloud programs. Actorize JavaScript/TypeScript (SDK with Actor.init/exit), Python (async context manager), or any language (CLI wrapper). Use when migrating code to Apify, wrapping CLI tools as Actors, or adding Actor SDK to existing projects.Apify Generate Output SchemaDeprecated. Output schema generation moved to the apify-actor-development skill; prefer that skill whenever it is available.Apify Integration DevelopmentDesign and build an official Apify integration for a company's product - workflow-automation apps (Zapier/n8n-style), AI agent plugins (coding-agent skills+MCP bundles or OpenClaw/Hermes-style harnesses), AI framework packages (LangChain/LlamaIndex-style), or direct application clients via apify-client. Use when planning, creating, or reviewing an integration that exposes Apify Actors, runs, datasets, or key-value stores inside another product.