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An official AI mind map generator developed by ProcessOn, focusing on converting content such as natural language, Markdown, long text, documents, web pages, and image text into professional, clear-structured, well-layered, and editable mind maps with one click. Whether it's article summarization, data organization, document decomposition, knowledge point induction, learning path sorting, or reading notes, paper literature sorting, meeting minutes extraction, work report summary, outline generation, project task decomposition, brainstorming and idea generation, this skill can quickly generate professional mind maps to help users transform scattered content into clear structured knowledge. This skill supports 7 professional graphic layouts including mind maps, logic diagrams, organizational charts, fishbone diagrams, timelines, tree diagrams, and table diagrams, and is deeply integrated with the ProcessOn online collaboration platform. The generated mind maps can be edited online, collaboratively modified, and efficiently reused, suitable for scenarios such as office work, study review, scientific research reading, knowledge management, and scheme planning. Note: This skill is mainly used to generate mind maps and knowledge structure brain maps, and is not applicable to the generation of process or technical charts such as flowcharts, swimlane diagrams, sequence diagrams, system architecture diagrams, ER diagrams, and Mermaid diagrams.
Declared architecture snapshot for one Agentforce agent: planner, topics, actions, flows, Apex, prompt templates, and NGA plugins. Renders a human-readable architecture document and Mermaid invocation graph from design-time metadata (not runtime audit rows). TRIGGER when user asks to describe, diagram, inventory, audit, document, or diff (e.g. v3 vs v5) the architecture / action tree / topic structure / tool inventory of a specific agent by agent API name in a specific org. DO NOT TRIGGER for runtime session traces, conversation transcripts, generation timings, or gateway audit chains — this skill reads design-time metadata only (use investigating-agentforce-d360 for session traces).
QA-test a website or web app and return a 1-5 quality score (5 = flawless, 1 = broken) with evidence. Use when the user wants to test, QA, evaluate, score, or "check how good" a site, page, flow, or app — including a local dev server (e.g. "qa test localhost:5173", "does the checkout work?", "rate this landing page"). Drives a real Browser Use cloud browser, tunneling localhost automatically.
OmniStudio OmniScript creation and validation with 120-point scoring. Use when building guided digital experiences, multi-step forms, or interactive processes that orchestrate Integration Procedures and Data Mappers. TRIGGER when: user creates OmniScripts, designs step flows, configures element types, or reviews existing OmniScript configurations. DO NOT TRIGGER when: building FlexCards (use omnistudio-flexcard-generate), creating Integration Procedures directly (use omnistudio-integration-procedure-generate), or analyzing dependencies (use omnistudio-dependencies-analyze).
Write idiomatic GDScript for Godot 4.x: static typing, the node lifecycle (_ready/_process/_physics_process), @export/@onready/@tool annotations, signals, and await for asynchronous flow. Use when editing .gd scripts in a Godot project (project.godot), writing or debugging GDScript, or porting 3.x GDScript to 4.x (func signatures, yield -> await, export -> @export).
Use when running the CTO flow-optimization loop — WIP scan, epic focus, triage unlabeled issues, and dispatch.
Summarizes Google Cloud Data Lineage graphs to help users debug data quality issues and understand data provenance for BQ/GCS. Use when summarizing upstream and downstream data flows, and presenting complex lineage data as an intuitive Markdown report. Don't use for generic BigQuery queries, editing lineage relationships, or downstream deprecation. Don't use for downstream blast-radius impact analysis (use datalineage-bigquery-asset-impact-analysis skill instead).
Configures and deploys enhanced chat Messaging Channels for Messaging for In-App and Web (MIAW). Use when the user needs to create, deploy, and activate a messaging channel configured with Omni-Channel Flow, Omni-Channel Queue, User, or Agentforce Service Agent routing. Generates MessagingChannel metadata, deploys it to the target org, and activates the channel with User Verification, pre-chat forms, automated responses, consent settings, and all customizable channel options via Metadata API. TRIGGER when the user mentions messaging channel, MIAW, enhanced chat, in-app messaging, web messaging setup, or references a .messagingChannel-meta.xml file. DO NOT TRIGGER when the user is configuring legacy Live Agent chat, Embedded Service deployments without messaging, or standard Omni-Channel routing rules without a messaging channel.
Use to set up, configure, ground, or go live with a Salesforce Help Agent (an Agentforce Service Agent in Service Cloud) via a guided four-checkpoint flow. Use whenever a user says any of: set up / create / build / add a help agent, service agent, or support chat agent; add or embed a chat widget on a website or Experience Cloud / LWR site; put a help agent on a channel (web chat, voice, phone, help portal), even while rejecting web chat; ground a help agent on Salesforce Knowledge; or wants an AI to answer customer questions, manage support cases, and escalate to a human. The right skill even when the request names only one part, names a coming-soon channel this skill hard-stops on, or references help-agent-spec.md or the Agentforce Quick Setup wizard. DO NOT TRIGGER when authoring a brand-new agent with no Help Agent lineage (use agentforce-generate), configuring OAuth/ECAs (use integration-connectivity-connected-app-configure), or only deploying metadata (use platform-metadata-deploy).
Use when capturing or analyzing ETTrace profiles for a focused iOS launch or runtime flow, including exact-build dSYM UUID matching, Simulator or device capture, processed per-thread flamegraph JSON, sampled inclusive/exclusive time, unresolved symbols, and comparable verification. Use debugging-instruments or swiftui-performance for generic profiling instead.
Startup-tailored AWS architecture advice that adjusts recommendations to the company's stage (pre-revenue through Series B+), team size, runway, and available credits. Use when a founder wants guidance or a recommendation rather than code changes: which services to choose, how to plan or review an architecture, how to stretch credits and control cost, or how to prepare architecture for a fundraise or technical diligence. For an interactive discovery flow that scaffolds and writes the architecture into the codebase, use start-building-for-startups. Do not use for: writing or scaffolding code, factual AWS Activate / programs / credits lookups (see knowledge-base-for-startups), a single copy-paste prompt (see prompt-library-for-startups), or migration intent such as GCP-to-AWS (see migration-to-aws).
Use when writing or reviewing Kotlin branching and control flow: when expressions, guard conditions, sealed type exhaustiveness, smart casts, nullable branching, early returns, or replacing complex if/else chains.