ssd-ai
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.)
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- container
- Category
- database
- Source
- Smithery
- Repository
- github.com/ssdeanx/ssd-ai
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve ssd-ai from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.