agents-hooks
Event-driven hooks for AI coding agents. Use when automating Claude Code or Codex CLI with stdin JSON and decision-control responses.
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.
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.
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.
agents-subagents
Create AI coding agent subagents with YAML frontmatter and least-privilege tools. Use when designing delegation, tool selection, or safety rules.
agents-swarm-orchestration
Coordinate parallel subagents in dependency-aware waves. Use when executing multi-task plans with Claude Code or Codex agent swarms.
ai-agents
Production AI agent patterns covering MCP, RAG, guardrails, observability, and ROI. Use when designing or evaluating agent systems.
ai-llm-inference
LLM inference patterns — latency budgeting, caching, batching, quantization, and parallelism. Use when optimizing serving cost or tail latency.
ai-llm
Full LLM lifecycle skill — strategy selection, PEFT/LoRA, evaluation, and deployment. Use when building, fine-tuning, or operating LLM systems.
ai-ml-data-science
ML and data science workflows — EDA, feature engineering, modelling, evaluation, and production handoff. Use when exploring data or building models.
ai-ml-timeseries
Time series forecasting — LightGBM, Transformers, temporal validation, feature engineering, and production deployment. Use when building TS models.
ai-mlops
Production MLOps covering CI/CD, serving, drift monitoring, and GenAI security. Use when deploying or operating ML and LLM systems in production.
ai-prompt-engineering
Prompt engineering for production LLMs — structured outputs, RAG, tool workflows, and safety. Use when designing or debugging prompts for LLM APIs.
ai-rag
RAG and search engineering — chunking, hybrid retrieval, reranking, and nDCG evaluation. Use when building retrieval-augmented generation pipelines.
data-analytics-engineering
Analytics engineering for reliable metrics and BI readiness. Use when building dbt models, defining metrics, or designing analytics layers.
data-lake-platform
Data lake and lakehouse patterns: ingestion, CDC, Iceberg/Delta/Hudi, Trino/DuckDB, orchestration, and governance. Self-hosted and cloud.
data-metabase
Metabase REST API automation: auth, export/upsert cards and dashboards, visualization_settings. Use when scripting Metabase via API.
data-sql-optimization
SQL optimization for OLTP systems: EXPLAIN analysis, indexing, schema design, migrations, HA, and security across major SQL platforms.
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.
dev-api-design
REST/GraphQL/gRPC/tRPC API design patterns. Use when designing APIs, writing OpenAPI specs, versioning, auth, or rate limiting.
dev-context-engineering
Context-driven AI development with Claude Code and Codex. Use when transitioning teams to AGENTS.md workflows or multi-repo AI setups.
dev-dependency-management
Dependency management across npm, pip, cargo, and maven. Use when managing lockfiles, security scanning, versioning, or monorepo workspaces.
dev-git-commit-message
Generates conventional commit messages from git diffs. Use when you need well-formatted commit messages following Conventional Commits.
dev-git-workflow
Team Git patterns for branching, PRs, commits, and code review. Use when choosing a branching model or hardening repo collaboration.
dev-structured-logs
Migrate legacy string-based logging in .NET/C# code to structured logging templates, insert CommandHandler logging scopes, and validate or update Serilog File sink settings in appsettings JSON files. Use when users ask to modernize ILogger or Serilog usage through safe rewrites, run dry-run logging migration previews, apply structured logging rewrites, or enforce JSON file sink formatter and path conventions. For general backend design and observability guidance use $software-csharp-backend, for NUnit test design use $qa-testing-nunit, and for pipeline changes use $ops-nuke-cicd.
dev-workflow-planning
Structured dev workflows via /brainstorm, /write-plan, /execute-plan. Use when breaking down complex projects into systematic steps.
docs-ai-prd
Writes PRDs and specs optimized for coding assistants. Use when authoring requirements or project context for Claude Code, Cursor, or Copilot.
docs-codebase
Technical writing for READMEs, ADRs, API docs, and changelogs. Use when revising or consolidating a repo documentation folder.
document-docx
Create/edit .docx files with styles, tables, and templates. Use when asked to generate Word reports, contracts, proposals, or extract text.
document-pdf
Extract text/tables from PDFs, create formatted PDFs, merge/split/rotate, and handle forms. Use for any PDF generation or parsing task.
document-pptx
Create/edit .pptx presentations with charts, templates, and speaker notes. Use when asked for pitch decks, QBR decks, or slide automation.
document-xlsx
Create/edit .xlsx spreadsheets with formulas, charts, and data validation. Use when asked to generate Excel reports, models, or exports.
ops-devops-platform
DevOps and platform engineering patterns: Kubernetes, Terraform, GitOps, CI/CD, observability, incident response, and cloud-native ops.
ops-nuke-cicd
Design, implement, and troubleshoot NUKE-based CI/CD pipelines for .NET services with fast local-to-CI feedback loops. Use when creating or refactoring `nuke/Build.cs` target graphs, tuning `DependsOn`/`After`/`Triggers`/`OnlyWhenDynamic` behavior, orchestrating unit/API/DB test categories, merging and publishing coverage and test reports, building and pushing Docker images with traceable tags and digests, producing artifact contracts such as `deploy.env`, and diagnosing flaky or slow pipeline execution. For service code changes use $software-csharp-backend, for NUnit fixture design use $qa-testing-nunit, and for safe logging rewrites use $dev-structured-logs.
product-help-center
Design or audit AI-first help centers and knowledge bases. Use for taxonomy, article templates, RAG setup, or support chatbot planning.
product-management
Founder-PM toolkit for discovery, roadmaps, prioritization, and PMF measurement. Use when planning product strategy, metrics, or roadmaps.
qa-agent-testing
QA harness for LLM agents: scenario suites, flake controls, tool sandboxing, LLM-as-judge scoring, and regression protocols.
qa-api-testing-contracts
API contract testing across REST, GraphQL, and gRPC. Use when you need schema validation, breaking-change detection, and CI quality gates.
qa-debugging
Systematic debugging for crashes, regressions, flakes, and production bugs. Use when diagnosing stack traces, logs, traces, or profiling data.
qa-docs-coverage
Audit and enforce doc quality. Use when checking coverage, freshness, runbook validity, or cleaning stale/duplicate markdown after LLM edits.
qa-observability
Implement OpenTelemetry logs/metrics/traces, SLI/SLO gates, burn-rate alerts, and APM integrations. Use when adding or validating observability.
qa-refactoring
Safe refactoring with behavior preservation. Use when reducing technical debt, applying strangler migrations, or tightening CI guardrails.
qa-resilience
Design and test distributed-system resilience. Use when adding retries, circuit breakers, chaos experiments, or SLO-based reliability gates.
qa-testing-android
Android testing with Espresso, UIAutomator, and Compose Testing. Use when building layered test strategy, device matrix, or CI integration.
qa-testing-ios
iOS testing with XCTest/XCUITest/Swift Testing via xcodebuild/simctl. Use when choosing destinations, controlling flakes, or parsing xcresult.
qa-testing-mobile
Mobile QA for iOS and Android. Use when planning automation frameworks, device matrix, flake control, or CI/CD release gates.
qa-testing-nunit
Design and refactor C# test suites with NUnit for API, component, and integration scenarios. Use when creating or fixing NUnit fixtures, structuring test projects, setting up WireMock and Testcontainers dependencies, and reducing flaky behavior in CI or local runs. For general backend service implementation use $software-csharp-backend, for pipeline target changes use $ops-nuke-cicd, and for logging-migration rewrites use $dev-structured-logs.
qa-testing-playwright
E2E web testing with Playwright. Use when writing tests, debugging flakes, or setting up CI with selectors, sharding, and network mocking.
qa-testing-strategy
Risk-based test strategy for software delivery. Use when defining coverage, setting CI gates, managing flaky tests, or establishing release criteria.
software-architecture-design
Designs system structure across monolith/microservices/serverless. Use when structuring systems, scaling, decomposing monoliths, or choosing patterns.
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