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vasilyu1983

vasilyu1983

204 Skills published on GitHub.

agents-hooks

Configures Claude Code hooks and Codex hooks.json/notify callbacks. Use when adding guardrails, preflight, audit trails, worktree automation, or budget enforcement.

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agents-mcp

Configures and hardens MCP servers for Claude Code and Codex agents. Use when connecting databases, APIs, files, or SaaS via MCP, or building custom servers.

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agents-skills

Creates and audits agent skills with SKILL.md, references, scripts, and platform-scoped metadata. Use when creating, updating, or validating shared skills.

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ai-ml-data-science

Builds ML, responsible-AI, and multimodal models. Use when doing data science or explaining fairness, privacy, speech, vision-language, or diffusion mechanics.

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ai-ml-timeseries

Time-series forecasting with temporal validation, panel models, probabilistic forecasts, and TS foundation models. Use when modeling ordered observations.

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ai-mlops

Operates ML, LLM, responsible-AI, and multimodal systems. Use when deploying, monitoring, governing, or responding to production AI failures.

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ai-prompt-engineering

Prompt engineering for production LLMs — structured outputs, evals, RAG, tool workflows, multimodal prompting, and safety. Use when designing, debugging, or shipping prompts.

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data-metabase

Automates Metabase cards, dashboards, Remote Sync, embedding, tenants, and the Agent API/MCP server for AI workflows. Use when scripting, promoting, or embedding Metabase content.

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dev-workflow-planning

Plans complex development workflows for Claude Code, Codex, and assistants. Use when breaking features, refactors, migrations, or parallel work into verified steps.

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docs-ai-prd

Writes PRDs and specs optimized for coding assistants. Use when authoring requirements or project context for Claude Code, Cursor, Copilot, or Codex.

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docs-codebase

Writes and reorganizes docs-as-code for software repos. Use when updating READMEs, runbooks, onboarding docs, API references, or agent instruction files.

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ops-devops-platform

Designs DevOps and platform engineering systems. Use when planning Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, or cloud-native operations.

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ops-nuke-cicd

Designs and troubleshoots NUKE-based CI/CD pipelines for .NET services. Use when refactoring target graphs, splitting test flows, publishing reports, or diagnosing slow pipelines.

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qa-agent-testing

Builds QA harnesses for LLM agents. Use when evaluating tool, trace, red-team, regression, multi-agent, or carried-workspace trajectory behavior.

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qa-api-testing-contracts

API contract testing across REST, GraphQL, gRPC, AsyncAPI, webhooks, and workflow contracts. Use when you need schema validation, breaking-change detection, and CI quality gates.

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qa-debugging

Systematic debugging for crashes, regressions, flakes, and production bugs. Use when diagnosing stack traces, logs, traces, or profiling data.

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qa-docs-coverage

Audits and enforces documentation quality. Use when checking coverage, freshness, runbook validity, AI-instruction coverage, or cleaning stale/duplicate markdown after LLM edits.

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qa-observability

Implement OpenTelemetry logs/metrics/traces, SLI/SLO gates, burn-rate alerts, and APM integrations. Use when adding or validating observability.

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qa-testing-android

Designs Android testing with Espresso, UI Automator, and Compose. Use when planning device matrices, screenshot tests, CI flows, or flake-control workflows.

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qa-testing-ios

Guides iOS testing with XCTest, XCUITest, Swift Testing, simctl, and xcresult. Use when choosing destinations, controlling flakes, or parsing test artifacts for native apps.

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software-code-review

Applies systematic code review patterns and checklists. Use when reviewing PRs or diffs for correctness, security, readability, maintainability, and AI-generated changes.

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software-crypto-web3

Guides secure blockchain development across EVM, Bitcoin, Solana, Cosmos, and TON. Use when building contracts, wallets, custody flows, bridges, or on-chain backends.

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software-localisation

Implements production-grade i18n/l10n for React, Vue, Angular, and Next.js with ICU format and RTL support. Use when setting up or debugging localisation.

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software-mobile

Guides mobile platform selection and delivery across native and cross-platform stacks. Use when planning auth, push, deep links, releases, or app architecture for iOS/Android.

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software-payments

Designs production payment and billing systems. Use when implementing Stripe, Paddle, Adyen, subscriptions, tax, marketplaces, or mobile purchase flows.

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agents-hooks

Event-driven hooks for AI coding agents. Use when automating Claude Code or Codex CLI with stdin JSON and decision-control responses.

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agents-mcp

Configure and build MCP servers for AI agent tool integration. Use when connecting Claude Code or Codex to databases, APIs, or custom tools.

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agents-project-memory

Configure CLAUDE.md/AGENTS.md/CODEX.md for persistent agent context. Use when setting coding standards or architecture docs for a codebase.

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agents-skills

Reference for creating AI agent skills with SKILL.md structure. Use when building or improving modular skill files for Claude Code or Codex.

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agents-subagents

Create AI coding agent subagents with YAML frontmatter and least-privilege tools. Use when designing delegation, tool selection, or safety rules.

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agents-swarm-orchestration

Coordinate parallel subagents in dependency-aware waves. Use when executing multi-task plans with Claude Code or Codex agent swarms.

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ai-agents

Production AI agent patterns covering MCP, RAG, guardrails, observability, and ROI. Use when designing or evaluating agent systems.

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ai-llm-inference

LLM inference patterns — latency budgeting, caching, batching, quantization, and parallelism. Use when optimizing serving cost or tail latency.

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ai-llm

Full LLM lifecycle skill — strategy selection, PEFT/LoRA, evaluation, and deployment. Use when building, fine-tuning, or operating LLM systems.

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ai-ml-data-science

ML and data science workflows — EDA, feature engineering, modelling, evaluation, and production handoff. Use when exploring data or building models.

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ai-ml-timeseries

Time series forecasting — LightGBM, Transformers, temporal validation, feature engineering, and production deployment. Use when building TS models.

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ai-mlops

Production MLOps covering CI/CD, serving, drift monitoring, and GenAI security. Use when deploying or operating ML and LLM systems in production.

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ai-prompt-engineering

Prompt engineering for production LLMs — structured outputs, RAG, tool workflows, and safety. Use when designing or debugging prompts for LLM APIs.

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ai-rag

RAG and search engineering — chunking, hybrid retrieval, reranking, and nDCG evaluation. Use when building retrieval-augmented generation pipelines.

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data-analytics-engineering

Analytics engineering for reliable metrics and BI readiness. Use when building dbt models, defining metrics, or designing analytics layers.

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data-lake-platform

Data lake and lakehouse patterns: ingestion, CDC, Iceberg/Delta/Hudi, Trino/DuckDB, orchestration, and governance. Self-hosted and cloud.

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data-metabase

Metabase REST API automation: auth, export/upsert cards and dashboards, visualization_settings. Use when scripting Metabase via API.

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data-sql-optimization

SQL optimization for OLTP systems: EXPLAIN analysis, indexing, schema design, migrations, HA, and security across major SQL platforms.

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dev-ai-coding-metrics

Measure and optimize AI coding agent impact — adoption tracking, DORA/SPACE for AI teams, ROI frameworks, DX surveys, benchmarking. Use when measuring AI tool effectiveness or building metrics programs.

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dev-api-design

REST/GraphQL/gRPC/tRPC API design patterns. Use when designing APIs, writing OpenAPI specs, versioning, auth, or rate limiting.

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dev-context-code-graph

Builds per-repo code graphs in JSON and markdown-ready derived artifacts. Use when you need blast radius, symbol-level maps, import graphs, inheritance, or test links.

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dev-context-engineering

Context-driven AI development with AGENTS.md, repo knowledge bases, Claude Code, Codex, and Copilot. Use when adopting repo-native AI workflows or multi-repo setups.

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dev-context-multi-repo

Builds multi-repo context hubs and compiled markdown knowledge maps. Use when profiling repo portfolios or assembling LLM-ready cross-repo knowledge bases.

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dev-dependency-management

Dependency management across npm, pip, cargo, and maven. Use when managing lockfiles, security scanning, versioning, or monorepo workspaces.

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dev-git-commit-message

Generates conventional commit messages from git diffs. Use when you need well-formatted commit messages following Conventional Commits.

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