Classify user requests into a six-layer hierarchy and route to matching capabilities.
npx skills add https://github.com/perfectuser21/cecelia --skill plan-perfectuser21
Please help me install this Agent Skill. Skill: plan Source: https://github.com/perfectuser21/cecelia/tree/main/packages/workflows/skills/plan Command: npx skills add https://github.com/perfectuser21/cecelia --skill plan-perfectuser21
This Skill acts as an intelligent translator between user requests and the system's capabilities, ensuring that user intentions are accurately understood and routed to the correct next action.
Tell the system what you want to achieve, like "I want to make the decomposition process more stable."
High-intent search queries and answers about installing and using this skill.
User intent classification into a six-layer hierarchy works by recognizing goals from natural language input and categorizing them from Mission down to Task. The system then matches these classified requests against existing capabilities to suggest the correct next action.
Goal decomposition for objectives like improving Q3 task success rate is handled by recognizing the statement as an Area OKR. The system then matches this with existing capabilities and suggests the next step to ensure accurate goal decomposition and routing.
Natural language input for workflow routing is fully supported without predefined commands. The intent recognition mechanism parses your plain text goals, determines the hierarchical layer, and matches them with existing capabilities to route the request correctly.
Capability matching works directly with existing system skills for task classification by evaluating the identified hierarchical layer and domain. It connects the classified user request with relevant available capabilities to route users to the appropriate next skill.
Goal decomposition and intent recognition are needed when translating user requests into system capabilities. This ensures that vague intentions are accurately understood, classified into the correct hierarchical layer, and matched with the appropriate workflow routing.
curiositechMatch natural language tasks to ranked candidate skills using semantic similarity and intent extraction.
ssmleoDecompose high-level objectives into actionable tasks with command-gated execution.
movebrickschiManage Refly skills and workflows via the @refly/cli command-line interface.
dimsourDetect user intent and route requests to /dotnet:* commands.
