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cognigy-plugin
cognigy-plugin contient 13 skills collectées depuis Cognigy, avec une couverture métier par dépôt et des pages de détail sur le site.
Skills dans ce dépôt
Use when adding custom logic inside a Cognigy tool branch with manage_flow_nodes — supported node types, config schemas, placement rules, and the tool-first workflow.
Use when the user wants to add xApps to a Cognigy flow — interactive HTML / Adaptive Card mini-apps rendered to the user, with the submitted data flowing back into the conversation. Covers the xApp flow nodes, the Init Session rule, and accessing xApp data.
Add a new MCP tool (or extend an existing one) in the NiCE Cognigy Plugin's MCP server
Use when the user wants to build, create, or set up a new Cognigy AI Agent from scratch — covers listing projects, ensuring an LLM exists, creating the agent, testing it, and refining persona/job fields.
Use when the user wants to add knowledge, RAG, or a knowledge store/source to a Cognigy agent — covers embedding vs Knowledge Search models, Knowledge AI settings, ingesting sources, and attaching knowledge as a tool.
Use when configuring or choosing an LLM for a Cognigy agent — valid provider names (openAI, anthropic, azureOpenAI, google, mistral), model strings, connection types, and credential resolution.
Use when exporting, importing, uploading, inspecting, or downloading Cognigy package zip files — including reusing an LLM plus its connection across projects.
Use when configuring project-level Cognigy settings — voice preview / speech provider configuration and Knowledge AI settings.
Use when creating or configuring Cognigy agent tools — choosing the tool type (tool, http, mcp, knowledge, send_email) and their configuration schemas.
Use when a Cognigy agent returns empty responses, a tool call or create_ai_agent fails, a resource is not found, setup_llm fails, or you need to diagnose a Cognigy MCP problem.
Use when the user wants to set up a voice agent or a Voice Gateway endpoint with WebRTC for browser-based voice interaction.
Use when the user wants to audit, validate, or make a Cognigy voice agent production-ready against the Voice Go-Live Checklist, or asks what audit_voice_agent checks and which items are auto-fixable vs manual.
Use when the user wants to deploy a Cognigy agent to a Webchat endpoint — creating or updating the endpoint, style presets, layout/behavior settings, and the embed snippet.