Convert Wren MDL definitions between YAML projects and MDL JSON.
npx skills add https://github.com/Canner/wren-engine --skill wren-project
Please help me install this Agent Skill. Skill: wren-project Source: https://github.com/Canner/wren-engine/tree/main/skills/wren-project Command: npx skills add https://github.com/Canner/wren-engine --skill wren-project
Save, load, and build Wren MDL manifests as YAML project directories for version control. Use when a user wants to persist an MDL as human-readable YAML files, load a YAML project back into MDL JSON, or compile a YAML project to a deployable mdl.json file.
Save your current MDL as a YAML project, then load or deploy it.
High-intent search queries and answers about installing and using this skill.
YAML projects are human-readable directory structures that store Wren MDL definitions, enabling collaboration and auditability across your data pipelines.
You compile a YAML project into a deployable mdl.json file by reloading the YAML back into MDL JSON after performing a version check, ensuring compatibility for downstream systems.
Yes, you can load YAML MDL projects back into MDL JSON for deployment or inspection, ensuring compatibility through a version check during the conversion process.
Persisting Wren MDL definitions as YAML-based project directories is the best approach for collaboration, as it provides a human-readable format for version-controlled pipelines.
Yes, the workflow ensures compatibility by performing a version check when compiling YAML projects into a deployable mdl.json file or loading them back into MDL JSON.
bartoszwarzochaSave and load JSON session state with /save-session and /load-session commands.
treasure-dataExecute SQL queries against Treasure Data using the Trino CLI.
thanh-abaiiMerge pull requests, run CI/CD pipelines, and verify production health.
VincentChong123Integrate OpenAI Codex as an agent provider in NanoClaw via JSON-RPC.
