CHAIN multiple existing skills into custom multi-step workflows. Programmable skill combinations with automatic handoffs. Create composite skills from building blocks with conditional logic.
3.5
Rating
0
Installs
AI & LLM
Category
The skill addresses a valuable meta-orchestration concept (chaining skills into workflows), which is moderately novel. However, the implementation is critically underspecified. The description mentions conditional logic, automatic handoffs, and data transformations, but the Instructions provide only abstract guidance without concrete mechanisms for: (1) discovering and invoking the 81 referenced skills, (2) implementing conditional branching logic, (3) defining data transformation syntax, or (4) handling error cases. A CLI agent would struggle to operationalize 'map it to a sequence of existing skills' without explicit APIs, syntax, or examples showing actual skill invocation. The structure is clean with appropriate sections, but the content lacks the technical depth needed for reliable execution. To improve: add workflow definition syntax (YAML/JSON schema), concrete examples of multi-skill chains with actual skill names, data mapping specifications, and error handling patterns.
OneWave-AI
Skill Author
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