Verified:GitHub

plan

Classify user requests into a six-layer hierarchy and route to matching capabilities.

Updated Feb 25, 2026

Search Tags:#user guidance #intent recognition #task classification #goal decomposition #workflow routing #capability matching

Ready to run

npx skills add https://github.com/perfectuser21/cecelia --skill plan-perfectuser21

💬 Prompt for ChatGPT / Claude Chat▼

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

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

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.

Core Features & Use Cases

Intent Recognition: Automatically identifies the user's goal from natural language input.
Hierarchical Classification: Determines the scope and priority of the request (e.g., Mission, OKR, Task).
Capability Matching: Identifies existing system capabilities relevant to the user's request.
Use Case: A user says, "I want to improve our Q3 task success rate to 85%." This Skill will recognize it as an 'Area OKR', identify relevant capabilities like 'okr-six-layer-decomposition', and suggest the next step as '/architect Mode 1'.

Quick Start

Tell the system what you want to achieve, like "I want to make the decomposition process more stable."

Frequently Asked Questions about plan

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I classify user intent into a project hierarchy automatically?▼

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.

What is the best way to decompose a goal like improving Q3 task success rate?▼

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.

Can I use natural language input for workflow routing without predefined commands?▼

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.

Does capability matching work with existing system skills for task classification?▼

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.

When do I need goal decomposition and intent recognition for my requests?▼

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.