Axiom Apl
APL query language reference for Axiom. Provides operators, functions, patterns, and CLI usage. Auto-invoked by specialized Axiom skills when writing or…
Install
Quick install
npx skills add https://github.com/axiomhq/cli/tree/HEAD/skills/axiom-aplnpx skills add axiomhq/cli --skill axiom-apl --agent claude-codenpx skills add axiomhq/cli --skill axiom-apl --agent cursornpx skills add axiomhq/cli --skill axiom-apl --agent codexnpx skills add axiomhq/cli --skill axiom-apl --agent opencodenpx skills add axiomhq/cli --skill axiom-apl --agent github-copilotnpx skills add axiomhq/cli --skill axiom-apl --agent windsurfMore install options
Shorthand — useful for multi-skill repos:
npx skills add axiomhq/cli --skill axiom-aplManual — clone the repo and drop the folder into your agent's skills directory:
git clone https://github.com/axiomhq/cli.gitcp -r cli/skills/axiom-apl ~/.claude/skills/axiom-apl
APL query language reference for Axiom. Provides operators, functions, patterns, and CLI usage. Auto-invoked by specialized Axiom skills when writing or…
axiom-aplby axiomhq
APL query language reference for Axiom. Provides operators, functions, patterns, and CLI usage. Auto-invoked by specialized Axiom skills when writing or…npx skills add https://github.com/axiomhq/cli --skill axiom-aplDownload ZIPGitHub
Axiom Processing Language (APL)
APL is Axiom's query language for analyzing observability data. This skill provides comprehensive guidance for writing, debugging, and optimizing APL queries.
Quick Reference
Documentation: https://axiom.co/docs/apl/introduction
CLI usage: See references/cli.md
Core Workflow
1. List Available Datasets
`axiom dataset list -f json
`
2. Discover Schema (CRITICAL - Always Do First)
`['<dataset>'] | getschema
`
Never guess field names. The schema shows all fields with their types.
3. Sample Data
`['<dataset>'] | limit 10
`
4. Write Query
See references for operators, functions, and patterns.
APL Syntax Essentials
Dataset Reference
`['dataset-name'] // Bracket notation (required for names with dots/dashes)
dataset_name // Plain identifier (only for simple names)
`
Field Reference
`field_name // Plain field
['field.with.dots'] // Bracket notation for dotted fields
['service.name'] // OTel data (see references/otel.md for field mappings)
`
Basic Query Structure
`['dataset']
| where <condition>
| extend <new_field> = <expression>
| summarize <aggregation> by <grouping>
| project <fields>
| sort by <field> desc
| limit 100
`
Time Handling
Always filter by time first - it's the most selective filter.
`// Relative time
| where _time >= ago(1h)
| where _time >= ago(24h) and _time < ago(1h)
// Absolute time
| where _time >= datetime(2024-01-15T10:00:00Z)
| where _time between (datetime(2024-01-15) .. datetime(2024-01-16))
`
Time functions:
ago(timespan)- Relative past time
now()- Current time
datetime(string)- Parse datetime
bin(_time, 5m)- Time bucketing
bin_auto(_time)- Automatic bucketing
When NOT to Use
- Simple field lookup: Use
getschemadirectly instead of invoking the full skill
- Known query patterns: If you already have a working query, don't re-invoke for syntax help
- Real-time alerting: Use Axiom Monitors for continuous alerting, not ad-hoc queries
References
- CLI Usage - Command flags and execution
- Operators - Tabular and scalar operators
- Functions - String, datetime, aggregation functions
- Patterns - Query patterns by use case
- Common Gotchas - Mistakes and fixes
- OpenTelemetry - OTel field mappings and trace patterns
More skills from axiomhq
detect-anomaliesby axiomhqDetect anomalies in Axiom datasets using statistical analysis. Use when looking for unusual patterns, volume spikes, outliers, or new error types in…explore-datasetby axiomhqExplore an Axiom dataset to understand its schema, fields, volume, and patterns. Use when discovering a new dataset, investigating data structure, or…find-tracesby axiomhqAnalyze OpenTelemetry distributed traces from Axiom. Use when investigating a trace ID, finding traces by criteria (errors, latency, service), or debugging…gilfoyleby axiomhqSRE agent that does what you can't. Queries your observability stack. Finds root causes. Doesn't panic. Doesn't guess. Doesn't care about your feelings. Use…axiom-sreby axiomhqExpert SRE investigator for incidents and debugging. Uses hypothesis-driven methodology and systematic triage. Can query Axiom observability when available.…building-dashboardsby axiomhqDesigns and builds Axiom dashboards via API. Covers chart types, APL and metrics/MPL query patterns, SmartFilters, layout, and configuration options. Use when…controlling-costsby axiomhqAnalyzes Axiom query patterns to find unused data, then builds dashboards and monitors for cost optimization. Use when asked to reduce Axiom costs, find unused…query-metricsby axiomhqRuns metrics queries against Axiom MetricsDB via scripts. Discovers available metrics, tags, and tag values. Use when asked to query metrics, explore metric…---
Source: https://github.com/axiomhq/cli/tree/HEAD/skills/axiom-apl
Author: axiomhq
Discovered via: mcpservers.org
SKILL.md source
--- name: axiom-apl description: APL query language reference for Axiom. Provides operators, functions, patterns, and CLI usage. Auto-invoked by specialized Axiom skills when writing or… --- # axiom-apl APL query language reference for Axiom. Provides operators, functions, patterns, and CLI usage. Auto-invoked by specialized Axiom skills when writing or… # axiom-aplby axiomhq APL query language reference for Axiom. Provides operators, functions, patterns, and CLI usage. Auto-invoked by specialized Axiom skills when writing or… `npx skills add https://github.com/axiomhq/cli --skill axiom-apl`Download ZIPGitHub ## Axiom Processing Language (APL) APL is Axiom's query language for analyzing observability data. This skill provides comprehensive guidance for writing, debugging, and optimizing APL queries. ## Quick Reference Documentation: https://axiom.co/docs/apl/introduction CLI usage: See references/cli.md ## Core Workflow ### 1. List Available Datasets ``` `axiom dataset list -f json ` ``` ### 2. Discover Schema (CRITICAL - Always Do First) ``` `['<dataset>'] | getschema ` ``` Never guess field names. The schema shows all fields with their types. ### 3. Sample Data ``` `['<dataset>'] | limit 10 ` ``` ### 4. Write Query See references for operators, functions, and patterns. ## APL Syntax Essentials ### Dataset Reference ``` `['dataset-name'] // Bracket notation (required for names with dots/dashes) dataset_name // Plain identifier (only for simple names) ` ``` ### Field Reference ``` `field_name // Plain field ['field.with.dots'] // Bracket notation for dotted fields ['service.name'] // OTel data (see references/otel.md for field mappings) ` ``` ### Basic Query Structure ``` `['dataset'] | where <condition> | extend <new_field> = <expression> | summarize <aggregation> by <grouping> | project <fields> | sort by <field> desc | limit 100 ` ``` ## Time Handling Always filter by time first - it's the most selective filter. ``` `// Relative time | where _time >= ago(1h) | where _time >= ago(24h) and _time < ago(1h) // Absolute time | where _time >= datetime(2024-01-15T10:00:00Z) | where _time between (datetime(2024-01-15) .. datetime(2024-01-16)) ` ``` Time functions: * `ago(timespan)` - Relative past time * `now()` - Current time * `datetime(string)` - Parse datetime * `bin(_time, 5m)` - Time bucketing * `bin_auto(_time)` - Automatic bucketing ## When NOT to Use * Simple field lookup: Use `getschema` directly instead of invoking the full skill * Known query patterns: If you already have a working query, don't re-invoke for syntax help * Real-time alerting: Use Axiom Monitors for continuous alerting, not ad-hoc queries ## References * CLI Usage - Command flags and execution * Operators - Tabular and scalar operators * Functions - String, datetime, aggregation functions * Patterns - Query patterns by use case * Common Gotchas - Mistakes and fixes * OpenTelemetry - OTel field mappings and trace patterns ## More skills from axiomhq detect-anomaliesby axiomhqDetect anomalies in Axiom datasets using statistical analysis. Use when looking for unusual patterns, volume spikes, outliers, or new error types in…explore-datasetby axiomhqExplore an Axiom dataset to understand its schema, fields, volume, and patterns. Use when discovering a new dataset, investigating data structure, or…find-tracesby axiomhqAnalyze OpenTelemetry distributed traces from Axiom. Use when investigating a trace ID, finding traces by criteria (errors, latency, service), or debugging…gilfoyleby axiomhqSRE agent that does what you can't. Queries your observability stack. Finds root causes. Doesn't panic. Doesn't guess. Doesn't care about your feelings. Use…axiom-sreby axiomhqExpert SRE investigator for incidents and debugging. Uses hypothesis-driven methodology and systematic triage. Can query Axiom observability when available.…building-dashboardsby axiomhqDesigns and builds Axiom dashboards via API. Covers chart types, APL and metrics/MPL query patterns, SmartFilters, layout, and configuration options. Use when…controlling-costsby axiomhqAnalyzes Axiom query patterns to find unused data, then builds dashboards and monitors for cost optimization. Use when asked to reduce Axiom costs, find unused…query-metricsby axiomhqRuns metrics queries against Axiom MetricsDB via scripts. Discovers available metrics, tags, and tag values. Use when asked to query metrics, explore metric… --- **Source**: https://github.com/axiomhq/cli/tree/HEAD/skills/axiom-apl **Author**: axiomhq **Discovered via**: mcpservers.org
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