Agent skill

Cx Olly

by coralogix in coralogix/cx-cli

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…

Apache-2.0Auto-check passedDevOps & Cloud

Install Cx Olly

skills CLI
$ npx skills add coralogix/cx-cli --skill cx-olly -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install coralogix/cx-cli cx-olly --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/coralogix/cx-cli.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cx-olly .claude/skills/cx-olly && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
cx-olly
GitHub stars
121
Token cost
~1.7k tokens
SKILL.md length
675 words
Files
1
Skills in repo
21
Repo updated
First seen
Licence
Apache-2.0

At a glance

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…

  • Works in 5 steps: Fetches artifact metadata → Downloads content from the presigned URL → Decompresses gzip content → …
  • Asks to chat with AI
  • SKILL.md covers CLI Commands, Running Olly (async by default), Chat Commands and Artifacts, plus 3 more sections
  • Calls jq

What it does

Cx Olly is an agent skill from coralogix/cx-cli. 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 observability", "natural language query", or wants to interact with the Coralogix Observability Agent (Olly) using the cx CLI.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in DevOps & Cloud, covering Observability. The repository describes itself as: This is the Coralogix CLI. The licence is Apache-2.0.

When your agent uses it

  • Asks to chat with AI
  • Send message to AI
  • Continue a chat
  • Follow up on chat

Example prompts

  • “chat with AI”
  • “ask Olly”
  • “ask the agent”
  • “/cx-olly”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit c071372. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • jq

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Cx Olly loads about 1.7k tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 675 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~107
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from coralogix/cx-cli at commit c071372, republished under its Apache-2.0 licence (© coralogix). 675 words, ~1,737 tokens.

Download SKILL.mdSave it as .claude/skills/cx-olly/SKILL.md (or your agent's skills folder).
name
cx-olly
description
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 observability", "natural language query", or wants to interact with the Coralogix Observability Agent (Olly) using the cx CLI.
metadata.version
0.1.0

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

CommandPurposeKey flags
cx olly ask "message"Send a message to the Observability Agent--chat-id, --model, --timeout, --agent-to-agent-mode
cx olly artifacts listList 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
bash
cx olly ask "What alerts fired today?" --agent-to-agent-mode

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
bash
cx olly ask "Tell me more about the error rates" --chat-id <chat-id> --agent-to-agent-mode

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.

bash
cx olly ask "Explain this error" --model claude-sonnet-4-5 --agent-to-agent-mode
Timeout

For complex queries that may take longer, increase Olly's response timeout (default: 900 seconds):

bash
cx olly ask "Deep analysis of last week's incidents" --timeout 1800 --agent-to-agent-mode

--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.

bash
cx olly ask "Analyze this for me" --agent-to-agent-mode

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.

Show full SKILL.md (279 more words)Show less

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
bash
cx olly artifacts list
cx olly artifacts list -o json
Get artifact content
bash
cx olly artifacts get <artifact-id>
cx olly artifacts get <artifact-id> -o json

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
bash
# Start investigation — run in the background and poll for completion
cx olly ask "Why is the checkout service showing high latency? Check logs with 'checkout:' strings and aws related metrics" --agent-to-agent-mode

# Follow up with the chat ID from the response — also background and poll
cx olly ask "What changed in the last hour?" --chat-id abc-123-def --agent-to-agent-mode

# Once the interaction has completed, get any generated charts
cx olly artifacts list -o json | jq '.[0].id'
cx olly artifacts get <artifact-id>
Get JSON output for scripting
bash
# Get response as JSON
cx olly ask "List top 5 error messages" -o json --agent-to-agent-mode | jq '.response'

# Parse artifacts
cx olly artifacts list -o json | jq '.[] | {id, filename, created_at}'
Detailed analysis with specific model
bash
cx olly ask "Perform root cause analysis for the outage on 2024-01-15" \
  --model claude-sonnet-4-5 \
  --timeout 1800 \
  --agent-to-agent-mode

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
  • cx-telemetry-querying - for direct DataPrime/PromQL queries without AI agent assistance (covers logs, spans, metrics, RUM)
  • cx-alerts - for managing alert definitions

© coralogix, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/cx-olly of coralogix/cx-cli.

Open the folder on GitHubat commit c071372

Compare with similar skills

Cx Olly next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Cx Olly compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cx Olly this skillcoralogix/cx-cli121—~1.7kAutomated safety check: PassApache-2.0
Vercel Optimize Auditvercel-labs/agent-skills32k8 repos~4.3kAutomated safety check: PassNone
Kubeshark Installerkubeshark/kubeshark12k—~3.6kAutomated safety check: NotesApache-2.0
Kubeshark KFL2 Filter Referencekubeshark/kubeshark12k—~3.6kAutomated safety check: PassApache-2.0
KubeSphere ServiceMesh Managerkubesphere/kubesphere17k—~2.4kAutomated safety check: PassCustom licence
Kubernetes Network Root Cause Analysiskubeshark/kubeshark12k—~5.3kAutomated safety check: PassApache-2.0

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Categories

Questions about Cx Olly

What does Cx Olly do?

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…. Cx Olly is an agent skill from coralogix/cx-cli. 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 observability", "natural language query", or wants to interact with the Coralogix Observability Agent (Olly) using the cx CLI.

When should I use Cx Olly?

Cx Olly fits situations like: asks to chat with AI; send message to AI; continue a chat; follow up on chat.

How do I install Cx Olly in Claude Code?

Run `npx skills add coralogix/cx-cli --skill cx-olly -a claude-code`. Or copy the skill folder (skills/cx-olly in coralogix/cx-cli) into .claude/skills/cx-olly in your project. Claude Code loads it when a task matches its description.

How do I install Cx Olly in Codex?

Run `npx skills add coralogix/cx-cli --skill cx-olly -a codex`. Or copy the skill folder (skills/cx-olly in coralogix/cx-cli) into .agents/skills/cx-olly in your project. Codex loads it when a task matches its description.

Can I use Cx Olly in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add coralogix/cx-cli --skill cx-olly -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cx-olly, .gemini/skills/cx-olly, .github/skills/cx-olly and .opencode/skills/cx-olly in your project.

What does Cx Olly need to run?

Going by SKILL.md and its folder, Cx Olly needs the command-line tools its instructions call (jq).

Does Cx Olly access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Cx Olly safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Cx Olly use?

Cx Olly is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Cx Olly use?

About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Cx Olly?

Skills that share tags, products or a category with Cx Olly: Vercel Optimize Audit (vercel-labs/agent-skills, 32k stars), Kubeshark Installer (kubeshark/kubeshark, 12k stars), Kubeshark KFL2 Filter Reference (kubeshark/kubeshark, 12k stars) and KubeSphere ServiceMesh Manager (kubesphere/kubesphere, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cx Olly?

coralogix (a GitHub organization) maintains it in coralogix/cx-cli, which has 121 GitHub stars. The repository holds 21 skills in this directory. The repository was last updated on October 7, 2026.

Source: coralogix/cx-cli on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.