This skill should be used when the user asks to "chat with AI", "ask Olly", "ask the agent", "send message to AI", "continue a chat", "follow up on chat", "get artifact", "download artifact", "list artifacts", "retrieve generated content", "AI-generated charts", "AI analysis", "conversational observ

Olly Observability Agent Skill Use this skill to interact with Coralogix's Observability Agent (Olly) via the cx olly CLI commands. Olly can analyze your observability data, answer questions about alerts, metrics, logs, and generate artifacts like charts and reports. cx olly ask defaults agent to agent mode to false . If you're an LLM/agent, pass agent to agent mode see "Agent to agent mode" below. CLI Commands Command Purpose Key flags cx olly ask "message" Send a message to the Observability Agent chat id , model , timeout , agent to agent mode cx olly artifacts list List all generated artifacts cx olly artifacts get <id Get artifact content by ID Output format: append o json or o toon for machine readable output. Single profile only: cx olly commands do not support multi profile fan out. Use p <profile to specify a single profile. Running Olly (async by default) Run cx olly ask asynchronously by default: launch it as a background process and poll it for completion rather than blocking on it. Olly investigations routinely take minutes, so this is the normal mode for cx olly ask . Only run cx olly ask inline (foreground, blocking) for a short question you expect Olly to answer quickly — a quick lookup or a one line follow up. When in doubt, run it in the background. Chat Commands Start a new conversation This creates a new chat and returns a response along with a Chat ID that you can use for follow up questions. Remove agent to agent mode if you don't have context to share (like quick access to source files) or if the created chat is only for human usage. Continue an existing chat Use chat id to continue a conversation and maintain context from previous messages. Background the follow up too when it kicks off another investigation. Model selection Available models include gpt 5.2 (default), claude sonnet 4 5 , sonnet 4.6 , gpt 5.4 , claude haiku 4 5 . Timeout For complex queries that may take longer, increase Olly's response timeout (default: 900 seconds): http timeout <SECONDS (or CX HTTP TIMEOUT ) sets the HTTP request deadline for all CLI commands, including Olly. It is separate from the Olly response timeout. Agent to agent mode agent to agent mode defaults to false , since cx olly ask is used directly by humans as well as by agents. If you're an LLM/agent, pass agent to agent mode to opt into shorter, sub agent style responses: no charts/tables, clarifying questions instead of guessing, and reliance on your broader context. It's per call, not per chat. chat id does not remember it re pass agent to agent mode on every follow up turn, or the mode silently flips back to human facing mid conversation. Artifacts Olly can generate artifacts like query results, previews, and citations. Artifact IDs appear as links in the agent's response text. List all artifacts Get artifact content The artifacts get command automatically: 1. Fetches artifact metadata 2. Downloads content from the presigned URL 3. Decompresses gzip content 4. Parses JSON and uses spill logic for large content 5. Saves non JSON text to a temp file Output behavior: JSON content : Displayed directly, or spilled to file if large Text content : Saved to temp file (e.g., /tmp/cx results artifact <id <hash .txt ) Workflow Examples Investigate an issue Get JSON output for scripting Detailed analysis with specific model Key Principles Async by default run cx olly ask as a background process and poll it for completion; only run inline (blocking) for short questions you expect Olly to answer quickly Chat IDs enable context save the Chat ID from responses to continue conversations Use o json for scripting pipe to jq for filtering and extraction Artifact IDs are in response text look for markdown links like [Chart](https://...artifact view/<id ) Single profile only cx olly does not support multi profile queries Large artifacts auto spill JSON content over the configured limit is saved to temp files Check source code before asking give Olly concrete context from the source code if available, such as which metric to start investigating from, before calling it Limit investigation scope guide Olly to the correct limited scope, for example limit to just logs or to specific time ranges Pass agent to agent mode when calling as an LLM/agent it defaults to false (human facing); agents should opt in for shorter, sub agent style responses Related Skills cx telemetry querying for direct DataPrime/PromQL queries without AI agent assistance (covers logs, spans, metrics, RUM) cx alerts for managing alert definitions

cx-olly