Converts SWE-bench task specifications to Mintlify-compliant format for easier readability and processing.
npx skills add https://github.com/axiomhq/skills --skill spl-to-apl
Please help me install this Agent Skill. Skill: spl-to-apl Source: https://github.com/axiomhq/skills/tree/main/skills/spl-to-apl Command: npx skills add https://github.com/axiomhq/skills --skill spl-to-apl
This skill solves the challenge of translating Splunk SPL queries into Axiom APL, enabling migration, standardization, and faster iteration across teams.
Install the spl-to-apl skill (Amp or npx) and start translating SPL queries to APL within your agent workflow.
High-intent search queries and answers about installing and using this skill.
SPL commands map directly to APL operators during translation, such as search becoming where and stats becoming summarize. SPL functions are also converted to their APL equivalents, like perc50 becoming percentile, to ensure valid query execution.
The best way to migrate Splunk queries to APL is by using an automated translation process that establishes core command mappings and function translations, ensuring your data analytics workflows standardize and iterate faster across teams.
When converting Splunk SPL to APL, explicit time constraints are added during translation to align with APL time semantics, ensuring the translated queries handle time ranges correctly within the Axiom environment.
Yes, you can translate common Splunk SPL patterns to learn APL equivalents. Side-by-side pattern examples accelerate learning and migration by showing how standard SPL queries are structured in APL syntax.
Automated SPL to APL query translation focuses on common command mappings and function translations. Complex or highly specialized Splunk functions may require manual review to ensure the translated APL query executes correctly and meets your specific data analytics needs.
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lyderhansenDocument field names, types, and values for FAKE sourcetypes in the fake_tshrt Splunk index.
