Translate natural language intents into octo-cli commands and CK exploration queries.
npx skills add https://github.com/meshmakers/octo-claude-skills --skill octo
Please help me install this Agent Skill. Skill: octo Source: https://github.com/meshmakers/octo-claude-skills/tree/main/skills/octo Command: npx skills add https://github.com/meshmakers/octo-claude-skills --skill octo
Natural language interface to the OctoMesh CLI, enabling users to translate conversational intents into precise octo-cli commands and GraphQL-based data-model exploration actions, reducing cognitive load and speeding admin tasks.
To get started, ask OctoMesh to show your authentication status and current environment.
High-intent search queries and answers about installing and using this skill.
Natural language intents are translated into octo-cli commands by mapping conversational requests to precise CLI operations, covering authentication, environment switching, tenant management, and user administration across the OctoMesh platform.
GraphQL data model exploration is performed using schema introspection and runtime queries, allowing you to list, count, search, and filter CK types and runtime entities through natural language requests.
Multiple OctoMesh environments are managed safely through environment-aware prompts and context resolution, enforcing confirmation for mutating actions to prevent unintended changes during tenant and user administration.
Running OctoMesh CLI automation requires the Python requests dependency and available scripts, enabling intent-to-command translation and GraphQL introspection without manual CLI syntax memorization.
Natural language interface works with OctoMesh runtime instance queries by supporting transient queries, filtering, and discovery for CK types and runtime entities across multiple environments.
Confirmation for mutating actions is required to enforce safe execution, preventing accidental modifications to tenants, users, or roles when translating natural language intents into octo-cli commands.
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