Cognigy
- 17 skills
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- 8 hours ago last updated
- ▌ Webchat Setup · cognigyUse 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.
- ▌ Agent Creation · cognigyUse 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.
- ▌ Agent Red Team · cognigy bundleUse when the user wants to red-team, adversarially test, jailbreak-test, or probe the guardrails of a Cognigy AI Agent — covers scoping consent, deriving the agent's policy surface from its config, generating targeted probes, scoring verdicts, and producing a standardised findings report.
- ▌ Knowledge Setup · cognigyUse 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.
- ▌ Troubleshooting · cognigyUse 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.
- ▌ Snapshot Backups · cognigyUse when backing up a Cognigy project before changing an existing AI Agent, rolling a project back to a previous state, undoing agent changes, or working with Cognigy Snapshots — create, restore, list, delete.
- ▌ Package Management · cognigyUse when exporting, importing, uploading, inspecting, or downloading Cognigy package zip files — including reusing an LLM plus its connection across projects.
- ▌ Voice Gateway Setup · cognigyUse when the user wants to set up a voice agent or a Voice Gateway endpoint with WebRTC for browser-based voice interaction.
- ▌ Add Client Platform · cognigyAdd support for a new client platform (a new AI client/IDE the Cognigy plugin can be installed into) — manifests, installer wiring, release plumbing, docs
- ▌ Voice Go Live Checklist · cognigyUse 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.
- ▌ Xapps · cognigy bundleUse 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.
- ▌ Settings · cognigyUse when configuring project-level Cognigy settings — voice preview / speech provider configuration and Knowledge AI settings.
- ▌ Add Tool · cognigy bundleAdd a new MCP tool (or extend an existing one) in the NiCE Cognigy Plugin's MCP server
- ▌ Flow Nodes · cognigyUse when adding custom logic inside a Cognigy tool branch with manage_flow_nodes, or when rendering/visualizing a flow as a diagram — supported node types, config schemas, placement rules, the tool-first workflow, and the render operation.
- ▌ Docs Lookup · cognigyUse when the user asks how a Cognigy.AI feature, node, endpoint, setting, or concept works, asks for Cognigy documentation, best practices, or release/version behavior, or when you are unsure of platform behavior or valid configuration values and need to consult the official docs before answering or building.
- ▌ Tools Setup · cognigyUse when creating or configuring Cognigy agent tools — choosing the tool type (tool, http, mcp, knowledge, send_email) and their configuration schemas.
- ▌ LLM Providers · cognigyUse when configuring or choosing an LLM for a Cognigy agent — valid provider names (openAI, anthropic, azureOpenAI, google, mistral, openAICompatible, awsBedrock), model strings, connection types, credential resolution, OpenAI-compatible endpoints (vLLM, Hugging Face, LiteLLM, Azure AI Foundry, self-hosted), and AWS Bedrock models.