moai-foundation-claude
>
install-skill
This skill should be used when the user asks to "install a skill", "add a skill to the project", "unpack a skill", or "integrate a new skill". Automates the full workflow of unpacking .skill packages from dist/ and registering them in the marketplace.
moai-foundation-cc
>
skill-creator
Guide for creating effective skills. Use when creating a new skill or updating an existing one to extend agent capabilities with specialized knowledge, workflows, or tool integrations.
skill-capture
>-
skill-comply
Measure whether agents actually follow a skill, rule, command, or agent definition by deriving expected behaviors, running representative scenarios, and comparing observed action timelines against the spec. Use after adding or changing instructions, before publishing skills, or when rules appear to be ignored.
skill-dispatch
>-
skill-scout
Search local, marketplace, repository, package, GitHub, and web sources before creating a new skill or custom implementation. Use when asked to create, fork, import, or evaluate a skill, or before writing code for functionality that likely already exists.
agent-configuration
AI agent configuration policy and security guide. Project description file writing, Hooks/Skills/Plugins setup, security policy, team shared workflow definition.
sync-skill-taxonomy
Classify every skill in skills/ as user-invoked or model-invoked, ensure disable-model-invocation is set on user-invoked skills, and inject metadata.category on all. Run after adding or changing skills, or when token-cost/routing quality is being reviewed. Use for \"sync skill taxonomy\", \"classify skills\", \"fix disable-model-invocation\", or \"skill token audit\".
skill-optimizer
Optimizes AI skills for activation, clarity, and cross-model reliability. Use when creating or editing skill packs, diagnosing weak skill uptake, reducing regressions, tuning instruction salience, improving examples, shrinking context cost, or setting benchmark/release gates for skills. Trigger terms: skill optimization, activation gap, benchmark skill, with/without skill delta, regression, context budget, prompt salience.