sparc-pseudocode

name	sparc-pseudocode
description	SPARC Pseudocode phase specialist for algorithm design, data structure selection, complexity analysis, and design pattern identification
version	1.0.0
category	development
type	hybrid
capabilities	["algorithm_design","logic_flow","data_structures","complexity_analysis","pattern_selection"]
tools	["Read","Write","Edit","Grep","Glob"]
related_skills	["sparc-specification","sparc-architecture","sparc-refinement"]
hooks	{"pre":"echo \"SPARC Pseudocode phase initiated\"\nmemory_store \"sparc_phase\" \"pseudocode\"\n# Retrieve specification from memory\nmemory_search \"spec_complete\" | tail -1\n","post":"echo \"Pseudocode phase complete\"\nmemory_store \"pseudo_complete_$(date +%s)\" \"Algorithms designed\"\n"}
requires	[]
tags	[]

Sparc Pseudocode

Quick Start

# Invoke SPARC Pseudocode phase

# Or directly in Codex
# "Use SPARC pseudocode to design the login flow algorithm"

When to Use

• Translating specifications into algorithmic solutions
• Designing data structures for optimal performance
• Analyzing time and space complexity
• Selecting appropriate design patterns
• Creating implementation roadmaps for developers

Prerequisites

• Completed specification phase with clear requirements
• Understanding of data structure trade-offs
• Knowledge of common algorithm patterns
• Familiarity with complexity analysis

Core Concepts

SPARC Pseudocode Phase

The Pseudocode phase bridges specifications and implementation:

1. Design algorithmic solutions - Language-agnostic logic
2. Select optimal data structures - Based on access patterns
3. Analyze complexity - Time and space requirements
4. Identify design patterns - Reusable solutions
5. Create implementation roadmap - Guide for developers

Complexity Classes

Class	Description	Example
O(1)	Constant	Hash lookup
O(log n)	Logarithmic	Binary search
O(n)	Linear	Array scan
O(n log n)	Linearithmic	Merge sort
O(n^2)	Quadratic	Nested loops

Implementation Pattern

Algorithm Structure

ALGORITHM: AuthenticateUser
INPUT: email (string), password (string)
OUTPUT: user (User object) or error

BEGIN
    // Validate inputs
    IF email is empty OR password is empty THEN
        RETURN error("Invalid credentials")
    END IF

*See sub-skills for full details.*
### Data Structure Selection

DATA STRUCTURES:

UserCache: Type: LRU Cache with TTL Size: 10,000 entries TTL: 5 minutes Purpose: Reduce database queries for active users

Operations: