ibragimov-oasis

Supermemory is a state-of-the-art memory and context infrastructure for AI agents. Use this skill when building applications that need persistent memory, user personalization, long-term context retention, or semantic search across knowledge bases. It provides Memory API for learned user context, User Profiles for static/dynamic facts, and RAG for semantic search. Perfect for chatbots, assistants, and knowledge-intensive applications.

The English summary is being prepared. Showing the original description.

Generate images using nano-banana-2 MCP tools with best-practice prompting. Use this skill when the user asks to create, generate, or edit images.

The English summary is being prepared. Showing the original description.

Review a PR or branch diff using the knowledge graph for full structural context. Outputs a structured review with blast-radius analysis.

The English summary is being prepared. Showing the original description.

Build or update the code review knowledge graph. Run this first to initialize, or let hooks keep it updated automatically.

The English summary is being prepared. Showing the original description.

Interact with DeerFlow AI agent platform via its HTTP API. Use this skill when the user wants to send messages or questions to DeerFlow for research/analysis, start a DeerFlow conversation thread, check DeerFlow status or health, list available models/skills/agents in DeerFlow, manage DeerFlow memory, upload files to DeerFlow threads, or delegate complex research tasks to DeerFlow. Also use when the user mentions deerflow, deer flow, or wants to run a deep research task that DeerFlow can handle.

The English summary is being prepared. Showing the original description.

Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.

The English summary is being prepared. Showing the original description.

Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction. Comprehensive benchmarking and optimization suite.

The English summary is being prepared. Showing the original description.

Unify 6+ memory systems into AgentDB with HNSW indexing for 150x-12,500x search improvements. Implements ADR-006 (Unified Memory Service) and ADR-009 (Hybrid Memory Backend).

The English summary is being prepared. Showing the original description.

MCP server optimization and transport layer enhancement for claude-flow v3. Implements connection pooling, load balancing, tool registry optimization, and performance monitoring for sub-100ms response times.

The English summary is being prepared. Showing the original description.

CLI modernization and hooks system enhancement for claude-flow v3. Implements interactive prompts, command decomposition, enhanced hooks integration, and intelligent workflow automation.

The English summary is being prepared. Showing the original description.

Advanced swarm orchestration patterns for research, development, testing, and complex distributed workflows

The English summary is being prepared. Showing the original description.

Stream-JSON chaining for multi-agent pipelines, data transformation, and sequential workflows

The English summary is being prepared. Showing the original description.

SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) comprehensive development methodology with multi-agent orchestration

The English summary is being prepared. Showing the original description.