collector

name	collector
description	Decision framework engine that serves as the central coordination hub for skill selection, context synthesis, and multi-domain problem decomposition. Analyzes user requests and orchestrates appropriate skills to generate optimal solutions.
triggers	["complex tasks requiring multiple skills","ambiguous or multi-faceted requests","deciding which approach to take","coordinating different expertise areas","systematic problem analysis and planning","skill selection and orchestration","meta-cognitive analysis and reflection"]
capabilities	["Skill routing and selection based on task characteristics","Multi-domain problem decomposition","Context-aware decision making using decision frameworks","Skill orchestration and result synthesis","Meta-cognitive reflection on reasoning processes","Integration with knowledge bases for reference materials"]

Collector Skill

Overview

The Collector skill serves as the decision-making hub within the Solo skill ecosystem. It implements a sophisticated decision framework engine that orchestrates skill selection, synthesizes contextual information, and coordinates multi-domain problem solving.

Core Functionality

Decision Framework Engine

The Collector implements a systematic decision-making approach based on established decision science principles:

1. Problem Identification: Analyze user requests to understand core objectives, constraints, and success criteria
2. Framework Selection: Choose appropriate decision frameworks based on task characteristics
3. Option Generation: Decompose problems and generate multiple solution paths
4. Analysis and Evaluation: Apply structured analysis using selected frameworks
5. Synthesis and Integration: Combine results from multiple skills into coherent solutions

Skill Orchestration

The Collector acts as a conductor, coordinating various specialized skills:

• Skill Selection: Evaluates task requirements and selects the most appropriate skills
• Execution Planning: Determines skill invocation order and dependencies
• Result Aggregation: Synthesizes outputs from multiple skills into unified solutions
• Quality Assurance: Validates that combined results meet overall objectives

Usage Guidelines

When to Invoke the Collector

The Collector skill should be activated when:

• User requests involve complex, multi-faceted problems
• Task requirements are ambiguous or not clearly specified
• Multiple skill domains need to be coordinated
• Systematic decision-making frameworks are needed
• Meta-cognitive analysis and reflection are beneficial

How the Collector Works

1. Request Analysis: Collector examines the user's request to identify:

   • Primary objectives and goals
   • Implicit requirements and constraints
   • Success criteria and quality standards
   • Available resources and limitations

2. Framework Application: Based on analysis, Collector applies:

   • Decision trees for structured choice problems
   • Analytical hierarchy processes for multi-criteria decisions
   • Domain-specific frameworks from reference materials
   • Custom frameworks for novel problem types

3. Skill Coordination: Collector orchestrates:

   • Sequential skill invocations for dependent tasks
   • Parallel skill executions for independent subtasks
   • Result aggregation and conflict resolution
   • Iterative refinement cycles as needed

4. Solution Delivery: Collector provides:

   • Structured solutions aligned with user objectives
   • Clear explanation of decision rationale
   • Supporting evidence and reference materials
   • Actionable recommendations and next steps

Integration with Other Skills

The Collector leverages specialized skills through coordinated invocation:

• Domain Skills: Execute specific technical tasks (code generation, analysis, etc.)
• Framework Skills: Provide structured methodologies for particular problem types
• Reference Skills: Access knowledge bases and documentation
• Integration Skills: Coordinate cross-domain solutions

Meta-Cognitive Functions

The Collector includes meta-cognitive capabilities:

• Self-Reflection: Analyzes its own reasoning processes
• Bias Detection: Identifies potential cognitive biases in decision-making
• Framework Evaluation: Assesses appropriateness of selected frameworks
• Continuous Improvement: Adapts decision strategies based on outcomes

References and Resources

The Collector's decision-making is informed by:

• references/core-philosophy.md: Foundational decision science principles
• references/frameworks/: Domain-specific decision frameworks
• references/skill-mapping/: Mapping between task types and optimal skills
• references/meta-cognition/: Meta-cognitive analysis methodologies
• references/documentation/: Integration guides and API references
• references/integration/: Cross-skill coordination protocols

Best Practices

1. Clear Objective Definition: Ensure user objectives are well-understood before skill selection
2. Framework Appropriateness: Match decision frameworks to problem characteristics
3. Transparent Reasoning: Document decision rationale for user understanding
4. Adaptive Refinement: Iterate on solutions based on intermediate results
5. Quality Validation: Verify that final solutions meet all requirements

Evolution and Learning

The Collector continuously improves through:

• Accumulated experience from past decisions
• Feedback integration from solution outcomes
• Framework refinement based on effectiveness analysis
• Expansion of skill mapping knowledge
• Enhancement of meta-cognitive capabilities

---

Role: Central Decision Hub | Type: Orchestration & Coordination

---

Interface Definition

Metadata

{
  "name": "collector",
  "version": "2.0.0",
  "description": "Decision framework engine and central coordination hub for skill selection and orchestration",
  "author": "SOLO CORN SKILLS",
  "category": ["orchestration", "decision"],
  "tags": ["skill-routing", "problem-decomposition", "decision-framework"]
}

Input Schema

{
  "inputs": [
    {
      "name": "request",
      "type": "string",
      "required": true,
      "description": "User's original request or problem statement"
    },
    {
      "name": "context",
      "type": "string",
      "required": false,
      "description": "Additional context about the situation"
    }
  ]
}

Output Schema

{
  "outputs": [
    {
      "name": "analysis",
      "type": "object",
      "description": "Problem analysis and decomposition"
    },
    {
      "name": "skillPlan",
      "type": "object",
      "description": "Skill selection and orchestration plan"
    },
    {
      "name": "recommendations",
      "type": "array",
      "description": "Actionable recommendations and next steps"
    }
  ]
}

Invoke Method

async invoke(params: InvocationParams): Promise<SkillResult> {
  // Execute decision framework
  // 1. Request analysis and problem identification
  // 2. Framework selection and application
  // 3. Skill selection and orchestration
  // 4. Synthesis and solution delivery
  // 5. Return results
}

---

Usage via CLI

# Basic invocation
scs invoke collector --input '{"request": "I need to build a product"}'

# Interactive mode
scs invoke collector --interactive

# With additional context
scs invoke collector --input '{"request": "Startup idea", "context": "SaaS for project management"}'