# ssd-ai

> Use this tool when you need to streamline AI development with automated tasks, natural language interfaces, and intelligent memory management. It solves problems related to code analysis, quality evaluation, project planning, and sequential thinking, accepting natural language inputs and producing actionable outputs. Use ssd-ai in contexts where efficient development, testing, and debugging of AI projects are crucial, such as during the development of complex machine learning models or large-scale data analysis tasks.

Canonical page: https://skillsregistry.net/skills/ssdeanx-ssd-ai  
JSON: https://api.skillsregistry.net/v1/skills/ssdeanx-ssd-ai

## Description

AI development assistant that implements the **Model Context Protocol (MCP)** standard. It provides 36 specialized tools through natural language keyword recognition, helping developers perform complex tasks intuitively.

### Core Values

- **Natural Language**: Execute tools automatically through Korean/English keywords
- **Intelligent Memory**: Context management and compression using SQLite
- **Multi-Language Support**: TypeScript, JavaScript, Python code analysis
- **Performance Optimization**: Project caching system
- **Enterprise Quality**: 100% test coverage and strict type system
- **Long-Running Support**: Task management for asynchronous operations
- **Large-Scale Data**: Cursor-based pagination

---

## Key Features

### 1. Memory Management System

10 tools for maintaining context across sessions:

- **Intelligent Storage**: Information classification and priority management by category
- **Context Compression**: Priority-based context compression system
- **Session Restoration**: Perfect recreation of previous work states
- **SQLite-Based**: Concurrent control, indexing, transaction support

**Key Tools**:

- `save_memory` - Store information in long-term memory
- `recall_memory` - Search stored information
- `auto_save_context` - Automatic context saving
- `restore_session_context` - Session restoration
- `prioritize_memory` - Memory priority management

### 2. Semantic Code Analysis

AST-based code analysis and navigation tools:

- **Symbol Search**: Locate function, class, variable positions across projects
- **Reference Tracking**: Track all usages of specific symbols
- **Multi-Language**: TypeScript, JavaScript, Python support
- **Project Caching**: Performance optimization through LRU cache

**Key Tools**:

- `find_symbol` - Search for symbol definitions
- `find_references` - Find symbol references

### 3. Code Quality Analysis

Comprehensive code metrics and quality evaluation:

- **Complexity Analysis**: Cyclomatic, Cognitive, Halstead metrics
- **Coupling/Cohesion**: Structural soundness evaluation
- **Quality Scores**: A-F grade system
- **Improvement Suggestions**: Actionable refactoring recommendations

**Key Tools**:

- `analyze_complexity` - Complexity metric analysis
- `validate_code_quality` - Code quality evaluation
- `check_coupling_cohesion` - Coupling/cohesion analysis
- `suggest_improvements` - Improvement suggestions
- `apply_quality_rules` - Quality rule application
- `get_coding_guide` - Coding guide lookup

### 4. Project Planning Tools

Systematic requirements analysis and roadmap generation:

- **PRD Generation**: Automatic product requirements document creation
- **User Stories**: Story writing including acceptance criteria
- **MoSCoW Analysis**: Requirements prioritization
- **Roadmap Creation**: Step-by-step development schedule planning

**Key Tools**:
- `generate_prd` - Product requirements document generation
- `create_user_stories` - User story creation
- `analyze_requirements` - Requirements analysis
- `feature_roadmap` - Feature roadmap creation

### 5. Sequential Thinking Tools

Structured problem solving and decision making support:

- **Problem Decomposition**: Break down complex problems step by step
- **Thinking Chains**: Sequential reasoning process generation
- **Multiple Perspectives**: Analytical/Creative/Systematic/Critical thinking
- **Execution Plans**: Convert tasks into executable plans

**Key Tools**:

- `create_thinking_chain` - Thinking chain creation
- `analyze_problem` - Problem analysis
- `step_by_step_analysis` - Step-by-step analysis
- `break_down_problem` - Problem decomposition
- `think_aloud_process` - Thinking process expression
- `format_as_plan` - Plan formatting

### 6. Prompt Engineering

Prompt quality improvement and optimization:

- **Automatic Enhancement**: Convert vague requests to specific ones
- **Quality Evaluation**: Score clarity, specificity, contextuality
- **Structuring**: Goal, background, requirements, quality criteria

**Key Tools**:

- `enhance_prompt` - Prompt enhancement
- `analyze_prompt` - Prompt quality analysis

### 7. Browser Automation

Web-based debugging and testing:

- **Console Monitoring**: Browser console log capture
- **Network Analysis**: HTTP request/response tracking
- **Cross-Platform**: Chrome, Edge, Brave support

**Key Tools**:

- `monitor_console_logs` - Console log monitoring
- `inspect_network_requests` - Network request analysis

### 8. UI Preview

Pre-coding UI layout visualization:

- **ASCII Art**: Support for 6 layout types
- **Responsive Preview**: Desktop/mobile views
- **Pre-Approval**: Confirm structure before coding

**Key Tools**:

- `preview_ui_ascii` - ASCII UI preview

### 9. Time Utilities

Various format time queries:

**Key Tools**:

- `get_current_time` - Current time query (ISO, UTC, timezones, etc.)

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/ssdeanx/ssd-ai)
- **Repository:** <https://github.com/ssdeanx/ssd-ai>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ssdeanx-ssd-ai"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ssdeanx-ssd-ai` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ssdeanx-ssd-ai/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt