Eldor Turgunov
Community@Turgunoff · Tashkent
Eldor Turgunov maintains a Codex-Flow skill registry covering multi-agent swarm orchestration, AgentDB vector memory, SPARC methodology, GitHub CI/CD, and Flutter release commands.
Agent Skills by Eldor Turgunov
Showing 60 vetted skills indexed across 1 GitHub repositories.
source-command-agents-stop
Stops running agents with graceful or forced shutdown via Codex-flow CLI.
V3 MCP Optimization
Implements connection pooling, load balancing, and tool registry optimization for MCP servers.
stream-chain
Chains sequential agent prompts where each step receives the previous step's output.
sparc-methodology
Orchestrates multi-agent software development using the SPARC phased methodology with 17 specialized modes.
source-command-claude-flow-help
Displays Codex-Flow CLI command reference and usage examples for agent orchestration.
Hooks Automation
Automates pre/post-operation hooks, session state, and memory coordination for Codex Flow workflows.
V3 CLI Modernization
Modernizes Codex-flow v3 CLI with modular commands, interactive prompts, and hooks integration.
source-command-sparc-integration
Merges outputs from multiple development modes into a tested, cohesive system.
github-workflow-automation
Automates GitHub Actions CI/CD pipelines with swarm-coordinated workflow generation and analysis.
Verification & Quality Assurance
Validates code quality with truth scoring, CI regression guards, and automatic rollback.
source-command-sparc-devops
Automates infrastructure deployment, CI/CD pipelines, and cloud resource provisioning tasks.
source-command-i18n-check
Validates uz, ru, and en translation bundles for missing or orphan keys via a Flutter test.
source-command-symbolize
Decodes obfuscated Dart crash stack traces using Flutter symbol files.
V3 Deep Integration
Migrates Codex-flow onto agentic-flow@alpha adapters to eliminate duplicate orchestration code.
Skill Builder
Create Codex Skills with YAML frontmatter and progressive disclosure structure.
source-command-sparc-spec-pseudocode
Generates modular pseudocode specification files with TDD anchors from project requirements.
source-command-sparc-code
Generates modular code from pseudocode and architecture using SPARC auto-coder workflows.
V3 Core Implementation
Implements DDD domains, clean architecture, and dependency injection for TypeScript core modules.
source-command-agents-agent-types
Lists all 87 agent types available in Codex Flow V3 with descriptions and use cases.
ReasoningBank with AgentDB
Implements adaptive agent learning with trajectory tracking, verdict judgment, and memory distillation on AgentDB.
source-command-build-release
Builds a production Flutter Android App Bundle with obfuscation and saved debug symbols.
source-command-claude-flow-memory
Store, query, and manage persistent cross-session memory via Codex-Flow CLI commands.
ReasoningBank Intelligence
Implements adaptive learning for agents to record experiences, recognize patterns, and optimize strategies.
V3 Security Overhaul
Remediates critical CVEs and implements secure-by-default patterns for Codex-flow v3.
Frequently Asked Questions About Eldor Turgunov
FAQPage SchemaWhat tasks can I accomplish with Turgunoff's skill registry?▼
You can coordinate multi-agent swarms, implement SPARC (Specification, Pseudocode, Architecture, Refinement, Completion) development cycles, manage AgentDB vector memory and semantic search, automate GitHub releases and code review, and run Flutter/Dart build, symbolize, and i18n-check commands.
Who is the target audience for these skills?▼
The registry targets engineers building Codex-Flow v3 agent systems, DevOps specialists managing GitHub Actions pipelines and multi-repo coordination, and Flutter developers needing release builds, stack-trace symbolication, and translation bundle validation.
How do the agent management commands work in practice?▼
Source commands let you spawn agents with V3 capabilities, list active agents, check status, health, metrics, and logs, manage agent pools for scaling, and stop running agents. A capability matrix documents all 87 available agent types in Codex Flow V3.
What performance gains does AgentDB provide?▼
AgentDB delivers 150x faster search via HNSW indexing, 4-32x memory reduction through quantization, and up to 12,500x search improvements in unified memory configurations. It supports QUIC synchronization, hybrid search, custom distance metrics, and nine reinforcement learning algorithms.
What prerequisites are needed to use these skills?▼
Skills assume a Codex-Flow environment with MCP server integration; GitHub skills require mcp__github and mcp__claude-flow access plus Bash, Read, Write, and TodoWrite permissions. Flutter commands require a Dart/Flutter project with build/symbols output for stack-trace decoding.