dojo-debug
Diagnose and resolve connection, sync, subscription, and type issues in Dojo.js applications. Use for troubleshooting Torii, entity queries, and state updates.
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128 skills found
Diagnose and resolve connection, sync, subscription, and type issues in Dojo.js applications. Use for troubleshooting Torii, entity queries, and state updates.
Official n8n workflow automation support for building, debugging, and scaling complex business processes and AI-powered integrations.
Implementation patterns for MERIDIAN autonomous AI agents using Claude API, including BaseAgent lifecycle, structured tool use, token budget enforcement, and cron scheduling.
Evidence-based code review using Sherlock Holmes-style deductive reasoning to verify implementation claims, investigate bugs, and conduct root cause analysis.
Browser-based QA automation for web applications. Performs automated site audits, visual regression testing, user flow verification, and issue tracking with real-time browser snapshots.
Stress-test existing product feature ideas by identifying risky assumptions across Value, Usability, Viability, and Feasibility using a multi-perspective devil's advocate framework.
Transform text into professional Mermaid diagrams. Automatically handles syntax, subgraphs, and layout rules for clean flowcharts, sequence diagrams, and process maps.
Structured task planning framework for AI agents to break down complex features, refactors, and bugs into actionable, verifiable steps.
An autonomous AI-powered task management system with Kanban boards, git worktree isolation, and pluggable executors like Claude Code, Gemini, and OpenAI Codex.
Anthropic Claude integration patterns: streaming, RAG with pgvector, tool use, model selection (Haiku/Sonnet/Opus), prompt caching, and cost management for AI-powered engineering.
An AI-powered TestOps platform and MCP server providing automated failure analysis, RCA matching, and intelligent test orchestration for CI/CD pipelines.
Comprehensive AI-generated text detection framework. Features multi-layer analysis of vocabulary, structural patterns, model-specific fingerprints, and technical metadata artifacts to identify AI authorship.