sparc-pseudocode

SPARC Pseudocode phase specialist for algorithm design, data structure selection, complexity analysis, and design pattern identification

5 stars

Best use case

sparc-pseudocode is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

SPARC Pseudocode phase specialist for algorithm design, data structure selection, complexity analysis, and design pattern identification

Teams using sparc-pseudocode should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/sparc-pseudocode/SKILL.md --create-dirs "https://raw.githubusercontent.com/vamseeachanta/workspace-hub/main/.agents/skills/development/sparc/sparc-pseudocode/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/sparc-pseudocode/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How sparc-pseudocode Compares

Feature / Agentsparc-pseudocodeStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

SPARC Pseudocode phase specialist for algorithm design, data structure selection, complexity analysis, and design pattern identification

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Sparc Pseudocode

## Quick Start

```bash
# 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:

*See sub-skills for full details.*
### Algorithm Patterns

```
PATTERN: Rate Limiting (Token Bucket)

ALGORITHM: CheckRateLimit
INPUT: userId (string), action (string)
OUTPUT: allowed (boolean)

CONSTANTS:
    BUCKET_SIZE = 100
    REFILL_RATE = 10 per second

*See sub-skills for full details.*

## Metrics & Success Criteria

- All algorithms have documented complexity
- Subroutines are clearly defined
- Data structures are justified with operations
- Design patterns are identified where applicable
- Pseudocode is language-agnostic

## Integration Points

### MCP Tools

```javascript
// Store pseudocode phase completion
  action: "store",
  key: "sparc/pseudocode/algorithms",
  namespace: "coordination",
  value: JSON.stringify({
    algorithms: ["AuthenticateUser", "CheckRateLimit"],
    patterns: ["strategy", "observer"],
    complexity: "O(log n)",
    timestamp: Date.now()
  })
}
```
### Hooks

```bash
# Pre-pseudocode hook

# Post-pseudocode hook
```
### Related Skills

- [sparc-specification](../sparc-specification/SKILL.md) - Previous phase: requirements
- [sparc-architecture](../sparc-architecture/SKILL.md) - Next phase: system design
- [sparc-refinement](../sparc-refinement/SKILL.md) - TDD implementation phase

## References

- [Big O Notation](https://en.wikipedia.org/wiki/Big_O_notation)
- [Design Patterns](https://refactoring.guru/design-patterns)

## Version History

- **1.0.0** (2026-01-02): Initial release - converted from agent to skill format

## Sub-Skills

- [Configuration](configuration/SKILL.md)
- [Example 1: Search Algorithm (+2)](example-1-search-algorithm/SKILL.md)
- [Best Practices](best-practices/SKILL.md)

## Sub-Skills

- [Execution Checklist](execution-checklist/SKILL.md)
- [Error Handling](error-handling/SKILL.md)

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