Agent skills
Skills you can use with AI coding agents, indexed from public GitHub repositories.
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product-management
Founder-PM toolkit for discovery, roadmaps, prioritization, and PMF measurement. Use when planning product strategy, metrics, or roadmaps.
vasilyu1983/AI-Agents-public 50
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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.
vasilyu1983/AI-Agents-public 50
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product-help-center
Design or audit AI-first help centers and knowledge bases. Use for taxonomy, article templates, RAG setup, or support chatbot planning.
vasilyu1983/AI-Agents-public 50
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qa-testing-ios
iOS testing with XCTest/XCUITest/Swift Testing via xcodebuild/simctl. Use when choosing destinations, controlling flakes, or parsing xcresult.
vasilyu1983/AI-Agents-public 50
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software-ui-ux-design
Designs and audits UI/UX with WCAG 2.2 accessibility. Use when designing flows, running heuristic reviews, or defining design systems.
vasilyu1983/AI-Agents-public 50
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data-metabase
Metabase REST API automation: auth, export/upsert cards and dashboards, visualization_settings. Use when scripting Metabase via API.
vasilyu1983/AI-Agents-public 50
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ai-ml-timeseries
Time series forecasting — LightGBM, Transformers, temporal validation, feature engineering, and production deployment. Use when building TS models.
vasilyu1983/AI-Agents-public 50
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qa-docs-coverage
Audit and enforce doc quality. Use when checking coverage, freshness, runbook validity, or cleaning stale/duplicate markdown after LLM edits.
vasilyu1983/AI-Agents-public 50
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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.
vasilyu1983/AI-Agents-public 50
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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.
vasilyu1983/AI-Agents-public 50
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dev-workflow-planning
Structured dev workflows via /brainstorm, /write-plan, /execute-plan. Use when breaking down complex projects into systematic steps.
vasilyu1983/AI-Agents-public 50
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document-xlsx
Create/edit .xlsx spreadsheets with formulas, charts, and data validation. Use when asked to generate Excel reports, models, or exports.
vasilyu1983/AI-Agents-public 50
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qa-testing-strategy
Risk-based test strategy for software delivery. Use when defining coverage, setting CI gates, managing flaky tests, or establishing release criteria.
vasilyu1983/AI-Agents-public 50
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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.
vasilyu1983/AI-Agents-public 50
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dev-git-workflow
Team Git patterns for branching, PRs, commits, and code review. Use when choosing a branching model or hardening repo collaboration.
vasilyu1983/AI-Agents-public 50
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software-ux-research
Covers user research methods and research ops. Use when running interviews, usability tests, surveys, or A/B tests to de-risk product decisions.
vasilyu1983/AI-Agents-public 50
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software-mobile
Production-grade iOS, Android, and cross-platform mobile dev. Use when building apps, handling auth/push, or preparing App Store releases.
vasilyu1983/AI-Agents-public 50
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software-crypto-web3
Secure blockchain development for EVM, Solana, Cosmos, and TON. Use when building smart contracts, auditing, or integrating on-chain backends.
vasilyu1983/AI-Agents-public 50
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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.
vasilyu1983/AI-Agents-public 50
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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.
vasilyu1983/AI-Agents-public 50
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document-docx
Create/edit .docx files with styles, tables, and templates. Use when asked to generate Word reports, contracts, proposals, or extract text.
vasilyu1983/AI-Agents-public 50
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software-csharp-backend
Apply practical C# and .NET backend engineering standards for service implementation, refactoring, and backend-focused code reviews. Use when building or reviewing backend services for language best practices, project and layer boundaries, data-access patterns, resilience controls, observability, security baselines, and common backend anti-pattern detection. For deep NUnit fixture design use $qa-testing-nunit, for NUKE pipeline target work use $ops-nuke-cicd, and for deterministic logging rewrites use $dev-structured-logs.
vasilyu1983/AI-Agents-public 50
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ops-devops-platform
DevOps and platform engineering patterns: Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, and cloud-native ops.
vasilyu1983/AI-Agents-public 50
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logisphere-design-review
Pre-implementation design review framework using the df12 Logisphere crew. Stress-tests system designs, RFCs, ADRs, API proposals, data models, and architecture decisions before code gets written. Each expert examines the design through their specialist lens — structural integrity (Pandalump), alternative approaches (Wafflecat), scaling characteristics (Buzzy Bee), contract design (Telefono), failure modes (Doggylump), and long-term viability (Dinolump). Includes a structured pre-mortem and alternatives checkpoint. Use this skill when asked to review a design document, RFC, ADR, system proposal, API design, or architecture decision — or when asked "should we build it this way", "what could go wrong", "design review", "pre-mortem", "architecture review", "RFC review", or any request for pre-implementation feedback.
leynos/agent-helper-scripts 1