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coralogix/cx-cli
This is the Coralogix CLI
History
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Verified commit 28802d216da8d6e07c3b89cb119bf05232fdbefb
git clone --filter=blob:none --no-checkout https://github.com/coralogix/cx-cli.git .hotskills/coralogix-cx-cli && git -C .hotskills/coralogix-cx-cli checkout --detach 28802d216da8d6e07c3b89cb119bf05232fdbefb
# Copy each selected skill directory from .hotskills/coralogix-cx-cli into .claude/skills/<skill-name>/git clone --filter=blob:none --no-checkout https://github.com/coralogix/cx-cli.git .hotskills/coralogix-cx-cli && git -C .hotskills/coralogix-cx-cli checkout --detach 28802d216da8d6e07c3b89cb119bf05232fdbefb
# Copy each selected skill directory from .hotskills/coralogix-cx-cli into .agents/skills/<skill-name>/Heat
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Individual skills in this repository
- coralogix-docs
skills/coralogix-docs - cx-ai-center
skills/cx-ai-center - cx-alerts
skills/cx-alerts - cx-cases
skills/cx-cases - cx-cli
skills/cx-cli - cx-coding-agents
skills/cx-coding-agents - cx-cost-optimization
skills/cx-cost-optimization - cx-dashboards
skills/cx-dashboards - cx-data-pipeline
skills/cx-data-pipeline - cx-infra
skills/cx-infra - cx-observability-setup
skills/cx-observability-setup - cx-olly
skills/cx-olly - cx-platform-admin
skills/cx-platform-admin - cx-profiling
skills/cx-profiling - cx-rum-setup
skills/cx-rum-setup - cx-search-dashboard
skills/cx-search-dashboard - cx-service-catalog
skills/cx-service-catalog - cx-slos
skills/cx-slos - cx-telemetry-querying
skills/cx-telemetry-querying
How it works
coralogix-docs
When your agent uses it
Search and read official Coralogix platform documentation using **`cx docs search`** and **`cx docs fetch`**. Use when the user asks how Coralogix features work, how to configure or use the UI, set up integrations (OpenTelemetry, agents, collectors, webhooks), manage API keys, explore spans/traces/logs in the product, configure alerts/SLOs/dashboards, or needs authoritative product docs — not live tenant telemetry.
What it loads into context
Frontmatter
122 tokensAlways available to the agent
SKILL.md
1,255 tokensWhen the skill is activated
Reference documents
11,724 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- CLI commands
- When to use these commands
- When **not** to use these commands
- Standard workflow
- Tips
- Troubleshooting
- Related
Files
SKILL.mdcore4,710 bytesSKILL.mdcore4,710 bytes../cx-alerts/SKILL.mddoc10,740 bytes../cx-cases/SKILL.mddoc5,964 bytes../cx-dashboards/SKILL.mddoc20,663 bytes../cx-telemetry-querying/SKILL.mddoc10,616 bytes
Read SKILL.md
# Coralogix docs (`cx docs search`, `cx docs fetch`)
These commands read **official Coralogix product documentation** from [coralogix.com/docs](https://coralogix.com/docs). They answer **how the platform works** and **how to configure or use it**. They do **not** query your tenant's logs, spans, metrics, or alerts.
No Coralogix API key is required.
## CLI commands
| Command | Purpose |
|---------|---------|
| `cx docs search <query>` | Find doc pages by keyword. Returns numbered titles + path suffixes. |
| `cx docs fetch <suffix>` | Download one page as markdown. Pass the suffix from search. |
### FlagsView the complete source on GitHubcx-ai-center
When your agent uses it
Use this skill for any question or action about the user's AI/GenAI applications or agents — their behavior, prompts/responses, quality, hallucinations, guardrails, security, cost/tokens, errors, evaluations/policies, model pricing, or configuration — including comparing or tracking agents over time. It covers both analyzing AI telemetry (GenAI spans) and managing AI Center config via the `cx ai-center` commands.
What it loads into context
Frontmatter
113 tokensAlways available to the agent
SKILL.md
2,449 tokensWhen the skill is activated
Reference documents
14,860 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Destructive Operation Safety
- Golden rule
- CLI Commands
- Common workflows
- Key principles
- Related Skills
Files
SKILL.mdcore9,948 bytesSKILL.mdcore9,948 bytesSKILL.mdcore9,948 bytesSKILL.mdcore9,948 bytesreferences/ai-center-queries.mddoc35,526 bytesreferences/dataprime-reference.mddoc10,977 bytesreferences/spans-querying.mddoc11,400 bytes
Read SKILL.md
# AI Center Skill
**This is the tool for anything about AI/GenAI applications** — both **questions** about their
behavior (prompts/responses, quality, hallucinations, guardrails, security, cost/tokens, errors,
latency — everything AI apps expose through their GenAI spans/tags) and **actions** to manage them
(applications, evaluations/policies, policy↔app links, model pricing). If a request touches an AI
application or its GenAI telemetry, use this skill.
Coralogix **AI Center** observes, evaluates, and guards GenAI/LLM applications. This skill
answers questions about AI apps from two sources:
- **Configuration** (this skill's `cx ai-center` commands): the AI application inventory,
configured evaluations/policies, coverage, custom evaluations, and model pricing — none of
which live in span telemetry.View the complete source on GitHubcx-alerts
When your agent uses it
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", "check which alerts are active", "find alerting rules", "set up an alert", "configure alerting", "mute an alert", "silence an alert", "see alert definitions", "check alert priority", or wants to manage Coralogix alert definitions using the cx CLI.
What it loads into context
Frontmatter
124 tokensAlways available to the agent
SKILL.md
2,663 tokensWhen the skill is activated
Reference documents
15,817 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- CLI Commands
- Alert Types Reference
- Priority Levels
- Create Workflow
- Investigation Workflow
- Suppression Rules
- Key Principles
- Additional Resources
Files
SKILL.mdcore10,740 bytesSKILL.mdcore10,740 bytesSKILL.mdcore10,740 bytesSKILL.mdcore10,740 bytesSKILL.mdcore10,740 bytesSKILL.mdcore10,740 bytesreferences/alert-schemas.mddoc20,250 bytesreferences/dataprime-reference.mddoc10,977 bytesreferences/logs-querying.mddoc9,269 bytesreferences/promql-guidelines.mddoc7,968 bytesreferences/spans-querying.mddoc11,400 bytes
Read SKILL.md
# Alert Management Skill
Use this skill to list, inspect, create, delete, enable, and disable Coralogix alert definitions using the `cx alerts` CLI commands.
## CLI Commands
| Command | Purpose | Key flags |
|---|---|---|
| `cx alerts list` | List all alert definitions | `--name <filter>` |
| `cx alerts get <id>` | Get a single alert definition by ID | - |
| `cx alerts create` | Create an alert from a JSON definition | `--from-file <path>` (default: stdin) |
| `cx alerts delete <id>` | Delete an alert | - |
| `cx alerts enable <id>` | Enable an alert | - |
| `cx alerts disable <id>` | Disable an alert | - |View the complete source on GitHubcx-cases
When your agent uses it
Triage and manage Coralogix Cases with the `cx cases` CLI — e.g. acknowledge, assign, resolve, or re-prioritize a case, or inspect its event timeline or notification deliveries.
What it loads into context
Frontmatter
67 tokensAlways available to the agent
SKILL.md
1,546 tokensWhen the skill is activated
Reference documents
8,254 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- CLI Commands
- Case Lifecycle
- Triage Workflow
- Bulk Operations
- Key Principles
- References
- Related Skills
Files
SKILL.mdcore5,964 bytesreferences/case-analytics.mddoc27,257 bytesreferences/single-case.mddoc5,069 bytes
Read SKILL.md
# Cases Management Skill
A **Case** groups related alert events into one investigation unit with a status,
priority, category, and assignee. Use this skill to inspect cases and drive them
through their lifecycle (active → acknowledged → resolved → closed).
## CLI Commands
| Command | Purpose |
|---|---|
| `cx cases get <id>` | Get a single case by ID |
| `cx cases update <id> [--title] [--resolution-reason]` | Update mutable fields |
| `cx cases comment <id> --text <text>` | Add a comment to the case timeline |
| `cx cases assign <id> --user <email>` | Assign a case (email, or raw user ID) |View the complete source on GitHubcx-cli
When your agent uses it
This skill should be used whenever the user runs any cx command, uses the cx CLI, Coralogix CLI, or mentions cx in the context of Coralogix observability. This skill provides cross-cutting concerns like update notifications that apply to all cx commands.
What it loads into context
Frontmatter
72 tokensAlways available to the agent
SKILL.md
733 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Update Notifications
- General cx CLI Guidelines
Files
SKILL.mdcore3,001 bytes
Read SKILL.md
# cx-cli
Cross-cutting behaviors for all cx CLI commands.
---
## Update Notifications
After running any cx command, check for update notices using the channels below (in priority order). If a newer version is available, finish answering the user's request first, then mention the update once at the end.
An update notice always has **two parts** — binary upgrade and skills refresh. Offer both commands; don't mention only the version number or only the binary upgrade.
### 1. Primary — toon mode (`-o toon`)
View the complete source on GitHubcx-coding-agents
When your agent uses it
Use this skill 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, tools, code impact, users, models, spans, or logs for Claude Code, Codex, Cursor, Gemini CLI, or Copilot CLI.
What it loads into context
Frontmatter
99 tokensAlways available to the agent
SKILL.md
1,768 tokensWhen the skill is activated
Reference documents
20,580 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Supported Agents
- Loading References
- Safety
- CLI Commands
- First Response
- Time and Filters
- Cross-Agent Questions
- Answer Style
Files
SKILL.mdcore7,266 bytesSKILL.mdcore7,266 bytesSKILL.mdcore7,266 bytesSKILL.mdcore7,266 bytesSKILL.mdcore7,266 bytesSKILL.mdcore7,266 bytesSKILL.mdcore7,266 bytesSKILL.mdcore7,266 bytesreferences/claude-code.mddoc6,770 bytesreferences/codex.mddoc8,505 bytesreferences/copilot-cli.mddoc10,458 bytesreferences/cursor.mddoc4,925 bytesreferences/dataprime-reference.mddoc10,977 bytesreferences/gemini-cli.mddoc2,998 bytesreferences/logs-querying.mddoc9,269 bytesreferences/metrics-querying.mddoc6,368 bytesreferences/promql-guidelines.mddoc7,968 bytesreferences/spans-querying.mddoc11,400 bytes
Read SKILL.md
# Coding Agents Skill
Use this skill as the entry point for any investigation or data question about AI Center Coding Agents. It identifies which data source each agent uses and tells you which reference files to load before querying.
## Supported Agents
| Agent | Data Type | Source Identifier |
|---|---|---|
| Claude Code | Metrics | `claude_code_*` metric family |
| Claude Code (session text) | Logs | `source ai_sessions_claude` |
| Codex | Logs | `service.name == 'codex_cli_rs'` or `'codex-app-server'` |
| Codex (latency) | Spans | `$l.serviceName == 'codex_cli_rs'` or `'codex-app-server'` |
| Cursor | Spans | `$l.serviceName == 'cursor-agent'` |
| Gemini CLI | Metrics | `gemini_cli_*` metric family |View the complete source on GitHubcx-cost-optimization
When your agent uses it
Use this skill when the user asks to "check data usage", "list TCO policies", "reduce Coralogix costs", "optimize observability spend", "lower our logging bill", "data budget exceeded", "TCO policy", "retention tier", "archive storage", "ingestion costs", "frequent search vs archive", "why is our bill so high", "spending too much on logs", "data retention settings", "cost analysis", "usage breakdown", "optimize log volume", "control data ingestion", "archive cold data", "billing units", "plan consumption", "daily plan", "overage", "PAYG", "usage anomaly", "usage trend", "cx_data_usage_units", or wants to investigate, analyze, or reduce Coralogix data costs.
What it loads into context
Frontmatter
195 tokensAlways available to the agent
SKILL.md
3,343 tokensWhen the skill is activated
Reference documents
941 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- CLI Commands
- Authoritative Billable Usage Queries
- Cost Investigation Workflow
- Common Optimization Patterns
- jq Examples
- Applying Changes
- Metrics-Based Cost Analysis
- Key Principles
- Related Skills
- Reference Files
Files
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Read SKILL.md
# Cost Optimization Skill
Use this skill when investigating or reducing Coralogix data costs. It covers the full cost management lifecycle: measuring current spend, reviewing TCO policies, adjusting retention periods, and configuring archive storage for cold data.
---
## CLI Commands
| Command | Subcommands | Purpose |
|---|---|---|
| `cx usage` | `summary`, `daily`, `logs-count`, `spans-count`, `export-status`, `capabilities`, `query` | Measure current data consumption and billable usage |
| `cx tco` | `list`, `get`, `create`, `update`, `delete`, `reorder`, `test`, `settings`, `settings-update` | Manage TCO (Total Cost of Ownership) policies |
| `cx retentions` | `list`, `update`, `activate`, `status` | Manage data retention periods |
| `cx archive logs` | `get`, `set` | Configure logs archive target |View the complete source on GitHubcx-dashboards
When your agent uses it
Build and deploy a Coralogix dashboard for a given service from its logs, spans, metrics, and service specs. Discovers telemetry via cx CLI commands, emits importable Coralogix JSON, verifies every PromQL and DataPrime query live through the `cx` CLI, and creates or updates dashboards via `cx dashboards create` and `cx dashboards replace`. Use whenever the user asks to create, build, generate, deploy, update, replace, or modify a Coralogix dashboard, monitoring dashboard, or observability dashboard for a service, app, or pipeline.
What it loads into context
Frontmatter
145 tokensAlways available to the agent
SKILL.md
5,043 tokensWhen the skill is activated
Reference documents
19,235 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Reference files
- Dashboard Management
- Workflow
- Phase 1: Discover telemetry & business meaning
- Phase 2: Gather dashboard specifications
- Phase 3: Draft the internal plan
- Phase 4: Generate the Coralogix JSON
- Phase 5: Live-verify every query through the cx CLI
- Phase 6: Self-verify structure
- Phase 7: Server-side validation via `cx dashboards check`
- Phase 8: Deploy via `cx dashboards create`
- Phase 9: Share the dashboard link
- Output format for the user
- References
Files
SKILL.mdcore20,663 bytesSKILL.mdcore20,663 bytesSKILL.mdcore20,663 bytesSKILL.mdcore20,663 bytesSKILL.mdcore20,663 bytesSKILL.mdcore20,663 bytesSKILL.mdcore20,663 bytesreferences/dataprime-reference.mddoc10,977 bytesreferences/deploy.mddoc4,329 bytesreferences/logs-querying.mddoc9,269 bytesreferences/promql-guidelines.mddoc7,968 bytesreferences/query-syntax.mddoc8,615 bytesreferences/spans-querying.mddoc11,400 bytesreferences/verification.mddoc6,346 bytesreferences/widget-templates.mddoc15,675 bytes
Read SKILL.md
# Create Coralogix Dashboard
Produces a Coralogix dashboard for a target service and deploys it via the `cx` CLI. Workflow: discover the service's telemetry, align on intent with the user, draft a plan, emit the JSON, live-verify every query through `cx`, then create the dashboard in a chosen folder.
Only use metric names, log fields, and span attributes you can cite from the service's code, README, configuration, or a live query that returned a result. Do not invent them.
---
## Reference files
Load these files for domain-specific guidance:
| Task | Reference |
|---|---|View the complete source on GitHubcx-data-pipeline
When your agent uses it
Use this skill 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 enrichment table", "lookup table", "geo enrichment", "create metric from logs", "events to metrics", "convert logs to metrics", "generate metrics from events", "recording rule", "precomputed metrics", "PromQL recording", "configure data pipeline", "transform log data", "data processing rules", "rule group", "enrichment settings", "E2M definition", "labels cardinality", "bulk delete rules", "enrichment limits", "search enrichment table", "what should I convert to metrics", "E2M not producing metrics", "E2M no series", "reduce log cost with E2M", "logs to metrics aggregation", "spans to metrics", or wants to configure how Coralogix processes, enriches, or transforms ingested data.
What it loads into context
Frontmatter
241 tokensAlways available to the agent
SKILL.md
3,059 tokensWhen the skill is activated
Reference documents
3,323 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- CLI Commands
- Working with JSON Payloads
- Parsing Rules Workflow
- Enrichment Workflow
- Events2Metrics Workflow
- Recording Rules Workflow
- Key Principles
- Additional Resources
- Related Skills
Files
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Read SKILL.md
# Data Pipeline Skill
Use this skill when configuring how Coralogix processes, enriches, and transforms data. It covers parsing rules (extract structured fields from raw logs), enrichments (add context from lookup tables), Events2Metrics (derive metrics from log/span events), and recording rules (precompute PromQL expressions).
---
## CLI Commands
| Command | Subcommands | Purpose |
|---|---|---|
| `cx parsing-rules` | `list`, `get`, `create`, `update`, `delete`, `bulk-delete`, `usage-limits` | Manage log parsing rules |
| `cx enrichments` | `list`, `add`, `remove`, `overwrite`, `limit`, `settings` | Manage enrichment rules |
| `cx enrichments custom` | `list`, `get`, `create`, `update`, `delete`, `search` | Manage custom enrichment tables |
| `cx e2m` | `list`, `get`, `create`, `update`, `delete`, `labels-cardinality`, `limits` | Manage Events2Metrics definitions |View the complete source on GitHubcx-infra
When your agent uses it
Query Coralogix infrastructure resources with the `cx infra` CLI: resource types, filterable attributes, resource lists, health, raw data and configuration changes. Use when the user asks to "show resource types", "list infrastructure resources", "what resources of this kind are monitored", "is this resource healthy", "why is this resource critical", "which health policy is failing", "when did this resource go critical", "get raw resource data", "find resources by name", "filter resources by service or environment", "critical hosts in a region", "what can I filter resources by", "resources in this cluster or namespace", "which resources changed recently", "what changed in this resource", "configuration drift", "did anything change before the incident", "what was this config last week", or wants to explore infrastructure resources.
What it loads into context
Frontmatter
203 tokensAlways available to the agent
SKILL.md
2,092 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Resource ids
- Finding resources
- Health
- Raw data
- Configuration changes
- Related Skills
Files
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Read SKILL.md
# Infrastructure Resources
All commands live under `cx infra resources` and are read-only. Run
`cx infra resources <command> --help` for flags.
"Infrastructure monitoring is not enabled for this team" means the team has no
infrastructure data. Stop and say so. Do not retry or change filters.
A stderr line starting `warning: ... could not verify that infrastructure
monitoring is enabled` is informational: the enablement check itself failed and
the command still ran.
| Command | Answers |
|------------------|----------------------------------------------------------------|View the complete source on GitHubcx-observability-setup
When your agent uses it
Use this skill when the user asks to "set up monitoring", "configure observability", "onboard new service", "create saved view", "set up notifications", "configure webhook", "set up Slack integration", "outgoing webhook", "automation action", "webhook for alerts", "create view", "saved view", "view folder", "organize dashboards", "install integration", "configure extension", "contextual data", "connect external service", "create notification connector", "set up email alerts", "configure PagerDuty", "notification routing", "deploy extension", "test webhook", "notification preset", "test notification", "webhook actions", or wants to set up, configure, or manage the observability stack for a service or team.
What it loads into context
Frontmatter
189 tokensAlways available to the agent
SKILL.md
2,141 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- CLI Commands
- New Service Setup Workflow
- Notification Setup Workflow
- Webhook Setup
- Key Principles
- Related Skills
Files
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Read SKILL.md
# Observability Setup Skill
Use this skill when setting up or configuring the observability stack - saved views, webhook integrations, notification channels, and external integrations. This is the "day 1 setup" skill for onboarding a new service or reconfiguring notification pipelines.
---
## CLI Commands
### Views
| Command | Purpose |
|---|---|
| `cx views list` | List all saved views |
| `cx views get <id>` | Get a view definition |View the complete source on GitHubcx-olly
When your agent uses it
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.
What it loads into context
Frontmatter
121 tokensAlways available to the agent
SKILL.md
1,744 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- CLI Commands
- Running Olly (async by default)
- Chat Commands
- Artifacts
- Workflow Examples
- Key Principles
- Related Skills
Files
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Read SKILL.md
# 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 | - |
View the complete source on GitHubcx-platform-admin
When your agent uses it
Use this skill when the user asks "who has access", "audit permissions", "check user roles", "list API keys", "review access controls", "rotate API keys", "create API key", "RUM API key", "delete expired keys", "send data keys", "IP allowlist", "IP access restrictions", "check IP whitelist", "add user", "deactivate user", "manage team groups", "user permissions", "role-based access", "manage scopes", "system roles", "API key admin", "team member keys", "group membership", or wants to audit, manage, or configure access controls for a Coralogix account.
What it loads into context
Frontmatter
164 tokensAlways available to the agent
SKILL.md
1,921 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Destructive Operation Safety
- CLI Commands
- Access Audit Workflow
- API Key Rotation
- Safety Callouts
- Key Principles
- Related Skills
Files
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Read SKILL.md
# Platform Admin Skill
Use this skill for managing access, authentication, and authorization in Coralogix. It covers API key management, role and scope definitions, user administration, team groups, and IP access restrictions.
---
## Destructive Operation Safety
All write operations (create, update, delete, set-idp, set-active, set-status) require interactive confirmation. The CLI will prompt before executing. To skip the prompt in scripts, pass `--yes`.
**IMPORTANT: NEVER pass `--yes` without explicit user approval.** Before executing any write operation:
1. Describe the exact operation to the user (what will be created/modified/deleted)
2. Wait for the user to confirm
3. Only then execute with `--yes`View the complete source on GitHubcx-profiling
When your agent uses it
Query Coralogix continuous-profiling data with the `cx profiling` CLI — find which services use the most CPU or memory, which profile types a service has, what profiles can be filtered by, when usage spiked and which pod or version caused it, and which code paths and functions a service spends its CPU or memory on (flame graphs). Use when the user asks "which services use the most CPU", "top memory consumers", "what is service X spending CPU on", "hot functions", "flame graph for a service", "why is this service using so much CPU", "memory allocations by function", "CPU spike by pod", "which version increased CPU", "continuous profiling", "profiling data", or wants to explore profiles of a service. For how much CPU or memory a service or pod uses and whether it is saturated, use `cx-service-catalog` instead.
What it loads into context
Frontmatter
225 tokensAlways available to the agent
SKILL.md
1,914 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- CLI Commands
- Investigation Workflow
- Reading the Output
- Key Principles
- Related Skills
Files
SKILL.mdcore7,197 bytesSKILL.mdcore7,197 bytesSKILL.mdcore7,197 bytesSKILL.mdcore7,197 bytesSKILL.mdcore7,197 bytesSKILL.mdcore7,197 bytes
Read SKILL.md
# Profiling Skill
Use this skill to answer **continuous-profiling** questions — which services
burn the most CPU or memory, and which functions inside a service are
responsible — via the Coralogix profiling API. Requires the
`profiles.cpu-profiles:Read` permission.
## CLI Commands
| Command | Purpose | Key flags |
|---|---|---|
| `cx profiling services` | Profiled services ranked by CPU+wall seconds (`cpu`) or allocated+heap bytes (`memory`) | `--category` (required), `--environment`, `--limit` (default 20, max 100), `--offset`, `--include-time-series` |
| `cx profiling metadata <service>` | A service's language and which profile types have data | - |
| `cx profiling filters <service>` | Label keys a service's profiles can be filtered by, with their values | `--profile-type` (required), `--filter`, `--max-values-per-key` (default 50) |View the complete source on GitHubcx-rum-setup
When your agent uses it
Use this skill when the user asks to "add RUM", "set up RUM", "install the RUM SDK", "add Coralogix RUM to my app", "create a RUM API key", "RUM public key", "init Coralogix RUM", "CoralogixRum.init", "add the browser SDK", "real user monitoring", "frontend monitoring", "monitor my web app", "session replay", "track frontend errors", "add RUM to React", "add RUM to Next.js", "add RUM to my mobile app", or wants to instrument a browser or mobile application with Coralogix Real User Monitoring end to end - RUM API key, SDK install, init code, and verifying data arrives.
What it loads into context
Frontmatter
187 tokensAlways available to the agent
SKILL.md
2,502 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- CLI Commands
- Workflow
- Key Principles
- Related Skills
Files
SKILL.mdcore9,099 bytesSKILL.mdcore9,099 bytesSKILL.mdcore9,099 bytesSKILL.mdcore9,099 bytesSKILL.mdcore9,099 bytesSKILL.mdcore9,099 bytesSKILL.mdcore9,099 bytesSKILL.mdcore9,099 bytesSKILL.mdcore9,099 bytes
Read SKILL.md
# RUM Setup Skill
Use this skill to onboard an application to Coralogix Real User Monitoring (RUM): get a RUM API key, install the platform SDK, add the `init` call, and verify events land in the `rum.events` dataset.
---
## CLI Commands
| Command | Purpose |
|---|---|
| `cx iam api-keys list -o json` | List candidate keys and the team ID (no permissions in output) |
| `cx iam api-keys send-data-keys -o json` | List candidate send-data keys (no permissions in output) |
| `cx iam api-keys get <id> -o json` | Read a key's permissions (`keyInfo.keyPermissions`) and value |
| `cx iam api-keys create --from-file <file>` | Create the RUM key (write - needs approval + `--yes`) |View the complete source on GitHubcx-search-dashboard
When your agent uses it
This skill should be used when the user asks to "find a dashboard", "search dashboards", "does a dashboard exist for X", "find widgets that query Y", "which dashboards use this field", "find a dashboard about errors", "look up dashboards by description", "search for existing monitoring dashboards", "find widgets that reference a field", or wants to discover existing Coralogix dashboards or widgets using natural-language or field-based search.
What it loads into context
Frontmatter
109 tokensAlways available to the agent
SKILL.md
765 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- CLI Commands
- When to Use Each Command
- Examples
- Key Principles
- Related Skills
Files
SKILL.mdcore3,500 bytesSKILL.mdcore3,500 bytesSKILL.mdcore3,500 bytesSKILL.mdcore3,500 bytesSKILL.mdcore3,500 bytesSKILL.mdcore3,500 bytes
Read SKILL.md
# Dashboard Search Skill
Use this skill to discover existing Coralogix dashboards and widgets using semantic or field-based search via the `cx dashboards` CLI commands. Before creating a new dashboard, always search first to avoid duplication.
## CLI Commands
| Command | Purpose | Key flags |
|---|---|---|
| `cx dashboards search "<description>"` | Find dashboards by natural-language description | `--limit` |
| `cx dashboards query-search --description "<text>"` | Find widgets whose queries match a description | `--limit` |
| `cx dashboards query-search --field "<field-path>"` | Find all widgets that reference a specific field | `--limit` |
| `cx dashboards catalog -o json` | List all dashboards | - |
| `cx dashboards get <id> -o json` | Get full dashboard definition | - |
View the complete source on GitHubcx-service-catalog
When your agent uses it
Query Coralogix's Service Catalog (APM v2 entities) with the `cx service-catalog` CLI — discover entity types, list known entities, check their schema, and pull aggregated or timeseries data for services, databases, operations, JVMs, and Kubernetes pods. Use when the user asks to "list services", "what entity types exist", "show me service latency", "check error rate for a service", "which pods are using the most memory", "database operation performance", "JVM GC pauses", "service health over time", "compare services by latency", "what columns are available for this entity type", "service catalog schema", or wants to explore APM entities and their metrics.
What it loads into context
Frontmatter
179 tokensAlways available to the agent
SKILL.md
2,212 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- CLI Commands
- Inspection Workflow
- Examples
- Key Principles
- Related Skills
Files
SKILL.mdcore8,611 bytesSKILL.mdcore8,611 bytesSKILL.mdcore8,611 bytesSKILL.mdcore8,611 bytesSKILL.mdcore8,611 bytesSKILL.mdcore8,611 bytesSKILL.mdcore8,611 bytesSKILL.mdcore8,611 bytesSKILL.mdcore8,611 bytesSKILL.mdcore8,611 bytesSKILL.mdcore8,611 bytes
Read SKILL.md
# Service Catalog Skill
Use this skill to discover and query **Service Catalog entities** — services,
databases, operations, database operations, JVMs, JVM GC, Kubernetes pods, and
transactions — and their columnar metrics (latency, error rate, health, resource
usage, etc.) via the v2 Service Catalog API.
## CLI Commands
| Command | Purpose | Key flags |
|---|---|---|
| `cx service-catalog entity-types` | List entity types this account has data for | - |
| `cx service-catalog schema <entity-type>` | Columns/labels schema for one entity type | - |
| `cx service-catalog entities <entity-type>` | Known entities of one type (e.g. service names) | - |View the complete source on GitHubcx-slos
When your agent uses it
Manage Coralogix SLO (Service Level Objective) definitions with the `cx slos` CLI — list and inspect SLOs, check whether targets and error budgets are healthy, and create, update, or delete SLO definitions from JSON. Use when the user asks to "list SLOs", "check SLO status", "is an SLO breaching", "error budget", "create an SLO", "update an SLO", "delete an SLO", or "service level objective".
What it loads into context
Frontmatter
135 tokensAlways available to the agent
SKILL.md
1,136 tokensWhen the skill is activated
Reference documents
0 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- CLI Commands
- SLO Definition
- Monitoring SLO Health
- Creating and Updating SLOs
- Key Principles
- Related Skills
Files
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Read SKILL.md
# SLO Management Skill
An **SLO** (Service Level Objective) defines a reliability target for a service —
e.g. "99.9% of requests succeed over 28 days". Use this skill to inspect SLO
definitions, judge whether they are healthy, and manage their lifecycle.
## CLI Commands
| Command | Purpose |
|---|---|
| `cx slos list` | List all SLO definitions |
| `cx slos get <id>` | Get a single SLO by ID |
| `cx slos create --from-file <path>` | Create an SLO from a JSON definition [requires `--yes`] |
| `cx slos update --from-file <path>` | Replace an SLO definition from JSON [requires `--yes`] |View the complete source on GitHubcx-telemetry-querying
When your agent uses it
Use this skill for any question involving telemetry data: "investigate an issue", "debug a problem", "find out why something is slow", "check error rates", "analyze user behavior", "understand a production incident", "query telemetry data", "look at logs", "search logs", "find errors", "find stack traces", "filter by severity", "check traces", "examine spans", "investigate request latency", "debug service-to-service calls", "look up a trace ID", "analyze RUM data", "query rum.events", "check frontend performance", "frontend errors", "Core Web Vitals", "JavaScript exceptions", "query metrics", "check CPU usage", "run a PromQL query", "check error rate", "look up a metric", "check memory usage", "how do I write a DataPrime query", "DataPrime syntax", or wants to answer questions using observability data from logs, metrics, traces, RUM, or APM.
What it loads into context
Frontmatter
243 tokensAlways available to the agent
SKILL.md
2,472 tokensWhen the skill is activated
Reference documents
16,285 tokensLoaded on request
Token counts are estimates. Scripts run separately; they are not counted as reference context.
The playbook
- Loading References
- Safety
- Quick Routing Guide
- Discovery Workflow
- Fallback and Pivoting
- CLI Commands Reference
- Examples
- Beyond Investigation
- Key Principles
Files
SKILL.mdcore10,616 bytesSKILL.mdcore10,616 bytesSKILL.mdcore10,616 bytesSKILL.mdcore10,616 bytesSKILL.mdcore10,616 bytesreferences/dataprime-reference.mddoc10,977 bytesreferences/logs-querying.mddoc9,269 bytesreferences/metrics-querying.mddoc6,368 bytesreferences/promql-guidelines.mddoc7,968 bytesreferences/rum-fields.mddoc5,411 bytesreferences/rum-querying.mddoc12,137 bytesreferences/spans-querying.mddoc11,400 bytes
Read SKILL.md
# Telemetry Querying Skill
Use this skill as the entry point for any investigation, debugging, or data question that may be answered from telemetry data. It helps you decide **where** the relevant signal lives (metrics, logs, traces, RUM) and tells you **which reference files to load** before querying.
## Loading References
Before querying, load the reference files for the chosen pillar:
| Pillar | Load these files |
|---|---|
| Logs | `references/dataprime-reference.md` + `references/logs-querying.md` |
| Spans / Traces | `references/dataprime-reference.md` + `references/spans-querying.md` |
| Metrics | `references/promql-guidelines.md` + `references/metrics-querying.md` |
| RUM (frontend) | `references/dataprime-reference.md` + `references/rum-querying.md` + `references/rum-fields.md` |View the complete source on GitHubSkills included
- coralogix-docs
- cx-ai-center
- cx-alerts
- cx-cases
- cx-cli
- cx-coding-agents
- cx-cost-optimization
- cx-dashboards
- cx-data-pipeline
- cx-infra
- cx-observability-setup
- cx-olly
- cx-platform-admin
- cx-profiling
- cx-rum-setup
- cx-search-dashboard
- cx-service-catalog
- cx-slos
- cx-telemetry-querying
Repository facts
- License
- Apache-2.0
- Created
- Mar 29, 2026
- Last pushed
- Nov 5, 2026
- Forks
- 10
- Open issues
- 24
- Project activity
- Active
Before you install
Network or broad shellAutomated signals, not a guarantee
Checked Nov 5, 2026
Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.
Show 130 notes
skills/coralogix-docs/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-ai-center/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-ai-center/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-ai-center/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-alerts/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-alerts/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-alerts/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-alerts/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-alerts/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-coding-agents/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-coding-agents/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-coding-agents/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-coding-agents/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-coding-agents/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-coding-agents/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-coding-agents/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-cost-optimization/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-cost-optimization/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-cost-optimization/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzedskills/cx-cost-optimization/SKILL.md:1Analysis incomplete: Referenced executable target unavailable; not analyzed
- No broad tool permissions
- 2 dangerous shell commandsin 1 file: cx-ai-center/references/ai-center-queries.md:340
- 17 network referencesin 6 files: cx-cases/references/case-analytics.md:122 skills/cx-dashboards/SKILL.md:360 cx-dashboards/references/query-syntax.md:154 and 3 more
- No hidden or obfuscated text
- No instruction overrides
- No executable scripts
- 2 references to secretsin 2 files: cx-profiling/SKILL.md:60 cx-rum-setup/SKILL.md:121
- No requests to vote in Hot
Show all 21 signals by file
skills/coralogix-docs/SKILL.md
- Network accessline 14
These commands read **official Coralogix product documentation** from [coralogix.com/docs](https://coralogix.com/docs). They answer **how the platform works** and **how to configure or use it**. They do **not** query your tenant's logs, spa
skills/cx-ai-center/references/ai-center-queries.md
skills/cx-cases/references/case-analytics.md
- Network accessline 122
}, "notificationEvidences": [ { "type": "slack", "evidence": { "url": "https://coralogix.slack.com/archives/C0123456789/p1754817400000200" } }, - Network accessline 123
"notificationEvidences": [ { "type": "slack", "evidence": { "url": "https://coralogix.slack.com/archives/C0123456789/p1754817400000200" } }, { "type": "service_now", "evidence": { "url": "https://coralogix.service-now. - Network accessline 124
{ "type": "slack", "evidence": { "url": "https://coralogix.slack.com/archives/C0123456789/p1754817400000200" } }, - Network accessline 125
{ "type": "service_now", "evidence": { "url": "https://coralogix.service-now.com/nav_to.do?uri=incident.do?sys_id=abc123" } },
skills/cx-cli/SKILL.md
- Network accessline 25
{"_meta":{"update":{"binary":{"current":"0.1.7","latest":"0.2.0","command":"brew upgrade cx"},"skills":{"command":"npx skills add coralogix/cx-cli/skills","docs":"https://github.com/coralogix/cx-cli#install"}}}}
skills/cx-dashboards/SKILL.md
- Network accessline 360
- Span querying patterns: [`references/spans-querying.md`](references/spans-querying.md) - Inline DataPrime help: `cx dataprime list`, `cx dataprime show <command>` - Coralogix Custom Dashboards docs: <https://www.coralogix.com/docs/user-gu - Network accessline 360
- Span querying patterns: [`references/spans-querying.md`](references/spans-querying.md) - Inline DataPrime help: `cx dataprime list`, `cx dataprime show <command>` - Coralogix Custom Dashboards docs: <https://www.coralogix.com/docs/user-gu - Network accessline 362
- Coralogix Custom Dashboards docs: <https://www.coralogix.com/docs/user-guides/custom-dashboards/introduction/> - Network accessline 362
- Coralogix Custom Dashboards docs: <https://www.coralogix.com/docs/user-guides/custom-dashboards/introduction/>
skills/cx-dashboards/references/query-syntax.md
- Network accessline 154
- Overview: <https://www.coralogix.com/docs/user-guides/custom-dashboards/introduction/> - Network accessline 155
- Widgets index: <https://www.coralogix.com/docs/user-guides/custom-dashboards/widgets/> - Network accessline 156
- Query builder: <https://www.coralogix.com/docs/user-guides/custom-dashboards/tutorials/query-builder/> - Network accessline 157
- Dashboard settings (slugs, folders): <https://www.coralogix.com/docs/user-guides/custom-dashboards/tutorials/manage-dashboard-settings/>
skills/cx-olly/SKILL.md
- Network accessline 149
- **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 ` - Network accessline 150
- **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 sup - Network accessline 151
- **Artifact IDs are in response text** - look for markdown links like `[Chart](https://...artifact_view/<id>)`
skills/cx-profiling/SKILL.md
- Access to secretsline 60
[Credential-related source omitted]
skills/cx-rum-setup/SKILL.md
- Access to secretsline 121
[Credential-related source omitted]
How the signals fit together
Facts from a static read of the files at the pinned commit. They describe what the code does, not why.
Some files could not be read; the facts below still hold.
Signal confidence: 21 facts
- Network access in prose of the SKILL.mdcoralogix-docs/SKILL.md:14Low confidence
- Dangerous shell operation in prose of documentationcx-ai-center/references/ai-center-queries.md:340Low confidence
- Dangerous shell operation in prose of documentationcx-ai-center/references/ai-center-queries.md:341Low confidence
- Network access in code of documentationcx-cases/references/case-analytics.md:122Low confidence
- Network access in code of documentationcx-cases/references/case-analytics.md:123Low confidence
- Network access in code of documentationcx-cases/references/case-analytics.md:124Low confidence
- Network access in code of documentationcx-cases/references/case-analytics.md:125Low confidence
- Network access in code of the SKILL.mdcx-cli/SKILL.md:25High confidence
- Network access in prose of the SKILL.mdskills/cx-dashboards/SKILL.md:360Low confidence
- Network access in prose of the SKILL.mdcx-dashboards/SKILL.md:360Low confidence
- Network access in prose of the SKILL.mdskills/cx-dashboards/SKILL.md:362Low confidence
- Network access in prose of the SKILL.mdcx-dashboards/SKILL.md:362Low confidence
- Network access in prose of documentationcx-dashboards/references/query-syntax.md:154Low confidence
- Network access in prose of documentationcx-dashboards/references/query-syntax.md:155Low confidence
- Network access in prose of documentationcx-dashboards/references/query-syntax.md:156Low confidence
- Network access in prose of documentationcx-dashboards/references/query-syntax.md:157Low confidence
- Network access in prose of the SKILL.mdcx-olly/SKILL.md:149Low confidence
- Network access in prose of the SKILL.mdcx-olly/SKILL.md:150Low confidence
- Network access in prose of the SKILL.mdcx-olly/SKILL.md:151Low confidence
- Access to secrets in code of the SKILL.md: a variable, placeholder or call, not a stored valuecx-profiling/SKILL.md:60Low confidence
- Access to secrets in code of the SKILL.md: a variable, placeholder or call, not a stored valuecx-rum-setup/SKILL.md:121Low confidence
Works with
| Agent | Status | Evidence | Install to |
|---|---|---|---|
| Claude Code | Native | Path .claude/settings.json | .claude/skills/<skill-name>/ |
| Codex | Native | Path .codex/skills | .agents/skills/<skill-name>/ |
| Cursor | Compatible | Standard SKILL.md skills/coralogix-docs/SKILL.md | .cursor/skills/<skill-name>/ |
| Gemini CLI | Compatible | Standard SKILL.md skills/coralogix-docs/SKILL.md | .gemini/skills/<skill-name>/ |
| GitHub Copilot | Compatible | Standard SKILL.md skills/coralogix-docs/SKILL.md | .github/skills/<skill-name>/ |
| OpenCode | Compatible | Standard SKILL.md skills/coralogix-docs/SKILL.md | .opencode/skills/<skill-name>/ |
- Native The repository ships a manifest, folder or frontmatter field for this agent.
- Compatible A standard SKILL.md that this agent can read.
- Unknown No evidence either way.
Derived automatically from paths, manifests and frontmatter. Not tested on each agent.