Vercel Optimize Audit
vercel-labs/agent-skills
Runs a metrics-first audit of a deployed Vercel project, gating investigations on real signals to produce ranked, citation-backed cost and performance recommendations.
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…
$ npx skills add coralogix/cx-cli --skill cx-olly -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install coralogix/cx-cli cx-olly --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ 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-srcUse ~/.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/
Install the "cx-olly" agent skill from https://github.com/coralogix/cx-cli/tree/master/skills/cx-olly into .claude/skills/cx-olly/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cx-olly", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/coralogix/cx-cli/tree/master/skills/cx-ollyType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add coralogix/cx-cli --skill cx-olly -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install coralogix/cx-cli cx-olly --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coralogix/cx-cli.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cx-olly .agents/skills/cx-olly && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cx-olly" agent skill from https://github.com/coralogix/cx-cli/tree/master/skills/cx-olly into .agents/skills/cx-olly/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cx-olly", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add coralogix/cx-cli --skill cx-olly -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install coralogix/cx-cli cx-olly --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coralogix/cx-cli.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cx-olly .cursor/skills/cx-olly && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "cx-olly" agent skill from https://github.com/coralogix/cx-cli/tree/master/skills/cx-olly into .cursor/skills/cx-olly/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cx-olly", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/coralogix/cx-cli.git --path skills/cx-olly--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add coralogix/cx-cli --skill cx-olly -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install coralogix/cx-cli cx-olly --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coralogix/cx-cli.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cx-olly .gemini/skills/cx-olly && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "cx-olly" agent skill from https://github.com/coralogix/cx-cli/tree/master/skills/cx-olly into .gemini/skills/cx-olly/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cx-olly", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install coralogix/cx-cli cx-ollyInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add coralogix/cx-cli --skill cx-olly -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/coralogix/cx-cli.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cx-olly .github/skills/cx-olly && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "cx-olly" agent skill from https://github.com/coralogix/cx-cli/tree/master/skills/cx-olly into .github/skills/cx-olly/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cx-olly", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add coralogix/cx-cli --skill cx-olly -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install coralogix/cx-cli cx-olly --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coralogix/cx-cli.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cx-olly .opencode/skills/cx-olly && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "cx-olly" agent skill from https://github.com/coralogix/cx-cli/tree/master/skills/cx-olly into .opencode/skills/cx-olly/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cx-olly", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
cx-ollyThis 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.
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.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit c071372. It shows what the files ask for, not the result of running them.
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.
Shell commands in SKILL.md call:
jqFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
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.
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.
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.
The full file from coralogix/cx-cli at commit c071372, republished under its Apache-2.0 licence (© coralogix). 675 words, ~1,737 tokens.
.claude/skills/cx-olly/SKILL.md (or your agent's skills folder).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.
| 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.
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.
cx olly ask "What alerts fired today?" --agent-to-agent-modeThis 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.
cx olly ask "Tell me more about the error rates" --chat-id <chat-id> --agent-to-agent-modeUse --chat-id to continue a conversation and maintain context from previous messages. Background the follow-up too when it kicks off another investigation.
Available models include gpt-5.2 (default), claude-sonnet-4-5, sonnet-4.6, gpt-5.4, claude-haiku-4-5.
cx olly ask "Explain this error" --model claude-sonnet-4-5 --agent-to-agent-modeFor complex queries that may take longer, increase Olly's response timeout (default: 900 seconds):
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 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.
cx olly ask "Analyze this for me" --agent-to-agent-modeIt'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.
Olly can generate artifacts like query results, previews, and citations. Artifact IDs appear as links in the agent's response text.
cx olly artifacts list
cx olly artifacts list -o jsoncx olly artifacts get <artifact-id>
cx olly artifacts get <artifact-id> -o jsonThe artifacts get command automatically:
Output behavior:
/tmp/cx_results_artifact_<id>_<hash>.txt)# 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 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}'cx olly ask "Perform root cause analysis for the outage on 2024-01-15" \
--model claude-sonnet-4-5 \
--timeout 1800 \
--agent-to-agent-modecx olly ask as a background process and poll it for completion; only run inline (blocking) for short questions you expect Olly to answer quickly-o json for scripting - pipe to jq for filtering and extraction[Chart](https://...artifact_view/<id>)cx olly does not support multi-profile queries--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 responsescx-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
Just SKILL.md in skills/cx-olly of coralogix/cx-cli.
Open the folder on GitHubat commit c071372
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Cx Olly this skillcoralogix/cx-cli | 121 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Vercel Optimize Auditvercel-labs/agent-skills | 32k | 8 repos | ~4.3k | Automated safety check: Pass | None | |
| Kubeshark Installerkubeshark/kubeshark | 12k | — | ~3.6k | Automated safety check: Notes | Apache-2.0 | |
| Kubeshark KFL2 Filter Referencekubeshark/kubeshark | 12k | — | ~3.6k | Automated safety check: Pass | Apache-2.0 | |
| KubeSphere ServiceMesh Managerkubesphere/kubesphere | 17k | — | ~2.4k | Automated safety check: Pass | Custom licence | |
| Kubernetes Network Root Cause Analysiskubeshark/kubeshark | 12k | — | ~5.3k | Automated safety check: Pass | Apache-2.0 |
vercel-labs/agent-skills
Runs a metrics-first audit of a deployed Vercel project, gating investigations on real signals to produce ranked, citation-backed cost and performance recommendations.
kubeshark/kubeshark
Installs and configures Kubeshark on a Kubernetes cluster, choosing between the quick CLI path and a Helm install with custom values.
kubeshark/kubeshark
Syntax reference for KFL2, the CEL-based display filter language used to search Kubernetes network traffic captured by Kubeshark, loaded before any filter is written.
kubesphere/kubesphere
Installs, checks and troubleshoots the KubeSphere ServiceMesh extension (Istio, Kiali, Jaeger), including grayscale release, sidecar injection, topology and tracing issues.
kubeshark/kubeshark
Investigates past Kubernetes incidents from Kubeshark traffic snapshots: takes captures, dissects API calls, extracts PCAPs and compares traffic over time.
JuliusBrussee/caveman
Routes every LLM call in a repository through the Caveman Cloud gateway in record mode, so requests and costs are measured without changing behavior.
coralogix/cx-cli
A skill your agent uses for any question or action about the user's AI/GenAI applications or agents — their behavior, prompts/responses, quality, hallucinations, guardrails, security, cost/tokens…
coralogix/cx-cli
This skill should be used when the user asks to "manage alerts", "create alert", "list alerts", "delete alert", "check alert status", "enable alert", "disable alert", "investigate firing alerts"…
coralogix/cx-cli
A skill your agent uses when the user asks about AI Center Coding Agents data, wants to reproduce or extend the Coding Agents dashboards, or asks questions about usage, cost, tokens, sessions…
coralogix/cx-cli
A skill your agent uses when the user asks to "check data usage", "list TCO policies", "reduce Coralogix costs", "optimize observability spend", "lower our logging bill", "data budget exceeded"…
coralogix/cx-cli
A skill your agent uses when the user asks to "set up parsing", "create parsing rule", "extract fields from logs", "regex extraction", "log parsing", "enrich logs", "add context to logs", "custom…
coralogix/cx-cli
A skill your agent uses for any question involving telemetry data: "investigate an issue", "debug a problem", "find out why something is slow", "check error rates", "analyze user behavior"…
Categories
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.
Cx Olly fits situations like: asks to chat with AI; send message to AI; continue a chat; follow up on chat.
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.
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.
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.
Going by SKILL.md and its folder, Cx Olly needs the command-line tools its instructions call (jq).
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.
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.
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.
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.
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.
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.