serialization
Data serialization and deserialization patterns across formats. Use when implementing data exchange, API payloads, storage formats, encoding/decoding, or cross-language communication. Keywords: serialize, deserialize, serialization, deserialization, JSON, YAML, TOML, XML, Protocol Buffers, protobuf, MessagePack, CBOR, serde, encoding, decoding, schema, schema evolution, versioning, backward compatibility, forward compatibility, binary format, text format, data interchange, gRPC, API contracts.
sql-optimization
Analyzes and optimizes SQL queries for better performance, including index design, query rewriting, execution plan analysis, and database tuning. Covers PostgreSQL-specific optimizations, N+1 prevention, CTE/window function optimization, join strategies, and common anti-patterns. Trigger keywords: SQL, query optimization, EXPLAIN, EXPLAIN ANALYZE, index, slow query, execution plan, query plan, join optimization, subquery, CTE, common table expression, window function, partition, N+1, query cache, database performance, sequential scan, index scan, bitmap scan, nested loop, hash join, merge join, PostgreSQL, query tuning, table scan, cardinality, statistics, vacuum, analyze.
technical-writing
Professional technical documentation writing for software projects including README files, user guides, migration guides, changelogs, API documentation, error messages, release notes, and developer documentation. Covers documentation style, tone, voice, clarity, conciseness, and audience-appropriate writing. Triggers: technical writing, documentation, docs, readme, guide, tutorial, changelog, migration guide, write docs, document code, documentation style, writing guide, tone, voice, clarity, concise, user documentation, developer documentation, API writing, API docs, error messages, release notes, technical communication, writing for developers, documentation standards.
terraform
Creates and manages Infrastructure as Code using Terraform/OpenTofu for cloud resource provisioning, module development, state management, and multi-environment deployments. Trigger keywords: terraform, tf, opentofu, tofu, infrastructure, IaC, infrastructure as code, provision, cloud, aws, azure, gcp, kubernetes, k8s, module, provider, state, backend, plan, apply, workspace, resource, data source, output, variable, locals, import, taint, destroy.
test-strategy
Comprehensive test strategy guidance including test pyramid design, coverage goals, test categorization, flaky test diagnosis, test infrastructure architecture, and risk-based prioritization. Absorbed expertise from eliminated senior-qa-engineer. Use when planning testing approaches, setting up test infrastructure, optimizing test suites, diagnosing flaky tests, or designing test architecture across domains (API, data pipelines, ML models, infrastructure). Trigger keywords: test strategy, test pyramid, test plan, what to test, how to test, test architecture, test infrastructure, coverage goals, test organization, CI/CD testing, test prioritization, testing approach, flaky test, test optimization, test parallelization, API testing strategy, data pipeline testing, ML model testing, infrastructure testing.
testing
Comprehensive test implementation across all domains including unit, integration, e2e, security, infrastructure, data pipelines, and ML models. Covers TDD/BDD workflows, test architecture, flaky test debugging, and coverage analysis.
typescript
TypeScript language expertise for writing type-safe, production-quality TypeScript code. Use for TypeScript development, advanced type system features, strict mode, type-safe APIs, and modern frameworks. Triggers: typescript, ts, tsx, type, interface, generic, union, intersection, discriminated union, type guard, type assertion, utility types, conditional types, mapped types, zod, trpc, prisma, react, node, nodejs, deno, bun, npm, pnpm, yarn, type-safe, type safety, tsconfig, strict mode, branded types
webhooks
Webhook implementation and consumption patterns. Use when implementing webhook endpoints, webhook receivers, webhook senders, HTTP callbacks, event notifications, push notifications, or real-time integrations. Covers signature verification (HMAC, crypto), retry strategies (exponential backoff), idempotency keys, delivery guarantees, webhook security, payload design, and monitoring. Keywords: webhook, webhooks, callback, callbacks, HTTP callback, event notification, push notification, signature verification, HMAC, hmac, crypto signature, retry, exponential backoff, idempotency, idempotent, delivery guarantee, at-least-once delivery, webhook receiver, webhook sender, webhook security, webhook authentication, replay attack, dead letter queue, webhook monitoring.
event-driven
Event-driven architecture patterns including message queues, pub/sub, event sourcing, CQRS, and sagas. Use when implementing async messaging, distributed transactions, event stores, command query separation, domain events, integration events, data streaming, choreography, orchestration, or integrating with RabbitMQ, Kafka, Apache Pulsar, AWS SQS, AWS SNS, NATS, event buses, or message brokers.
error-handling
Comprehensive error handling patterns and strategies including Rust Result/Option, API error responses, data pipeline error handling, and security-aware error handling. Use when implementing exception handling, error recovery, retry logic, circuit breakers, fallback mechanisms, graceful degradation, or designing error hierarchies. Triggers: error, exception, try, catch, throw, raise, Result, Option, panic, recover, retry, fallback, graceful degradation, circuit breaker, error boundary, 500, 4xx, 5xx, thiserror, anyhow, RFC 7807, error propagation, error messages, stack trace.
e2e-testing
End-to-end testing patterns and best practices for web applications using Playwright, Cypress, Selenium, and Puppeteer. Covers Page Object Model, test fixtures, selector strategies, async handling, visual regression testing, and flaky test prevention. Includes QA expertise for acceptance testing, smoke testing, cross-browser testing, and test reliability. Use when setting up E2E tests, debugging test failures, improving test reliability, or implementing browser automation. Trigger keywords: e2e, e2e testing, end-to-end, end-to-end tests, Playwright, Cypress, Selenium, Puppeteer, Page Object Model, page object, test fixtures, selectors, locator, locators, data-testid, async tests, visual regression, visual testing, screenshot, flaky tests, flakiness, browser testing, browser automation, UI test, UI testing, acceptance test, acceptance testing, smoke test, smoke testing, integration test, wait, waits, assertion, assertions, test data, test isolation.
documentation
Creates and maintains technical documentation including API docs, README files, architecture docs, changelogs, ADRs, and inline code comments. Handles all documentation needs from code-level docstrings to project-level guides. Trigger keywords: documentation, docs, document, README, tutorial, guide, reference, changelog, ADR, architecture decision record, docstring, JSDoc, rustdoc, pydoc, markdown, mdx, api docs, user guide, developer guide, inline comments, code comments.
docker
Creates and optimizes Docker configurations including Dockerfiles, docker-compose files, and container orchestration. Covers multi-stage builds, layer optimization, security hardening, networking, volumes, and debugging. Trigger keywords: docker, container, dockerfile, image, compose, registry, build, layer, cache, multi-stage, volume, network, port, environment, containerize, orchestration, registry, push, pull, tag, alpine, slim, distroless.
diagramming
Create technical diagrams using Mermaid syntax for architecture, sequences, ERDs, flowcharts, and state machines. Use for visualizing system design, data flows, and processes. Triggers: diagram, diagrams, mermaid, plantuml, draw.io, excalidraw, flowchart, sequence diagram, class diagram, architecture diagram, ERD, entity relationship, entity-relationship, C4, C4 model, system context, container diagram, component diagram, state diagram, state machine, visualize, draw, chart, flow, data flow, API flow, system design, architecture visualization, UML.
git-workflow
Manages Git operations including branching strategies, commit conventions, merge workflows, conflict resolution, and worktree management. Trigger keywords: git, branch, commit, merge, rebase, pull request, PR, cherry-pick, stash, reset, revert, checkout, switch, worktree, conflict, GitFlow, trunk-based, feature branch, release branch, version control, squash, amend, history, tag, remote, push, pull, fetch, clone.
logging-observability
Comprehensive logging and observability patterns for production systems including structured logging, distributed tracing, metrics collection, log aggregation, and alerting. Triggers for this skill - log, logging, logs, trace, tracing, traces, metrics, observability, OpenTelemetry, OTEL, Jaeger, Zipkin, structured logging, log level, debug, info, warn, error, fatal, correlation ID, span, spans, ELK, Elasticsearch, Loki, Datadog, Prometheus, Grafana, distributed tracing, log aggregation, alerting, monitoring, JSON logs, telemetry.
md-tables
Fix markdown table alignment and spacing issues. Use when formatting tables in markdown files, aligning columns, normalizing cell padding, or ensuring proper table structure. Triggers: markdown table, md table, table formatting, column alignment, pipe table, GFM table, table generator, align columns, table spacing, table layout, fix table, format table, table structure.
model-evaluation
Evaluates machine learning models for performance, fairness, and reliability using appropriate metrics and validation techniques. Covers training debugging, hyperparameter tuning, and production monitoring. Trigger keywords: model evaluation, metrics, accuracy, precision, recall, F1, F1-score, ROC, AUC, ROC-AUC, confusion matrix, cross-validation, k-fold, stratified, overfitting, underfitting, bias, variance, bias-variance tradeoff, hyperparameter, hyperparameter tuning, loss, loss function, metric, benchmark, benchmarking, model performance, classification metrics, regression metrics, RMSE, MSE, MAE, MAPE, R2, R-squared, train-test split, validation set, test set, hold-out, learning curve, validation curve, model selection, error analysis, residual analysis, ML testing, training issues, convergence, gradient, vanishing gradient, exploding gradient, training instability, LLM evaluation, language model evaluation, prompt engineering evaluation, A/B testing, champion-challenger, model monitoring, model drift, data drift, concept drift, model decay.
performance-testing
Performance testing and load testing expertise including k6, locust, JMeter, Gatling, artillery, API load testing, database query optimization, benchmarking strategies, profiling techniques, metrics analysis (p95/p99 latency, throughput, RPS), performance budgets, and bottleneck identification. Use when implementing load tests, stress tests, spike tests, soak tests, analyzing system behavior under concurrent users, measuring saturation points, or optimizing application performance under load. Trigger keywords: performance testing, load testing, stress testing, stress test, load test, performance test, k6, locust, JMeter, Gatling, artillery, benchmark, benchmarking, profiling, latency, throughput, RPS, requests per second, concurrent users, virtual users, percentile, p95, p99, p50, median latency, saturation, bottleneck, performance budget, API load testing, database performance, query optimization, slow queries, scalability testing, capacity planning, response time, error rate, apdex.
prometheus
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golang
Go language expertise for writing idiomatic, production-quality Go code. Use for Go development, concurrency patterns, error handling, testing, and module management. Triggers: go, golang, goroutine, channel, interface, struct, pointer, slice, map, defer, context, error, gin, echo, fiber, cobra, viper, gorm, sqlx, go mod, go test, effective go, errgroup, sync, mutex, waitgroup.
debugging
Systematically diagnoses and resolves software bugs, test failures, data quality issues, and performance problems using various debugging techniques and tools. Trigger keywords: debug, bug, error, exception, crash, issue, troubleshoot, fix, stack trace, diagnosis, diagnose, investigate, root cause, why, failing, broken, not working, unexpected, flaky, intermittent, regression, performance degradation.
database-design
Designs database schemas, data models, relationships, indexes, and migrations for relational, NoSQL, time-series, and warehouse databases. Covers normalization, denormalization, ETL optimization, event sourcing, star schema, and performance tuning. Trigger keywords: schema, table, column, migration, ERD, normalize, denormalize, index, foreign key, primary key, constraint, relationship, SQL, DDL, data model, database design, data warehouse, star schema, snowflake schema, time-series, event sourcing, dimension table, fact table, ETL, data pipeline, OLAP, OLTP.
data-visualization
Creates effective data visualizations, charts, dashboards, and reports across analytics, infrastructure monitoring, and ML domains. Covers library selection, UX design, and accessibility. Trigger keywords: chart, graph, plot, dashboard, report, visualization, matplotlib, plotly, d3, seaborn, grafana, tableau, superset, metabase, KPI, metric, analytics, histogram, heatmap, time-series, scatter, bar-chart.
data-validation
Data validation patterns including schema validation, input sanitization, output encoding, and type coercion. Use when implementing validate, validation, schema, form validation, API validation, JSON Schema, Zod, Pydantic, Joi, Yup, sanitize, sanitization, XSS prevention, injection prevention, escape, encode, whitelist, constraint checking, invariant validation, data pipeline validation, ML feature validation, or custom validators.
crossplane
Cloud-native infrastructure management with Crossplane using Kubernetes APIs. Build internal platform APIs for self-service infrastructure provisioning. Use when implementing infrastructure as code, platform engineering, composite resources, XRDs, compositions, claims, provider configuration, or multi-cloud provisioning. Triggers: crossplane, XRD, composition, claim, provider, managed resource, composite resource, infrastructure API, platform engineering, platform API, infrastructure abstraction, self-service infrastructure, kubernetes infrastructure, cloud control plane.
concurrency
Comprehensive concurrency and parallelism patterns for multi-threaded and async programming. Use when implementing async/await, parallel processing, thread safety, worker pools, or debugging race conditions and deadlocks. Triggers: async, await, thread, mutex, lock, semaphore, channel, actor, parallel, concurrent, race condition, deadlock, livelock, atomic, futures, promises, tokio, asyncio, goroutine, spawn, Arc, Mutex, RwLock, mpsc, select, join, worker pool, queue, synchronization, critical section, context switch.
ci-cd
Designs and implements CI/CD pipelines for automated testing, building, deployment, and security scanning across multiple platforms. Covers pipeline optimization, test integration, artifact management, and release automation.
background-jobs
Background job processing patterns including job queues, scheduled jobs, worker pools, and retry strategies. Use when implementing async processing, job queues, workers, task queues, async tasks, delayed jobs, recurring jobs, scheduled tasks, ETL pipelines, data processing, ML training jobs, Celery, Bull, Sidekiq, Resque, cron jobs, retry logic, dead letter queues, DLQ, at-least-once delivery, exactly-once delivery, job monitoring, or worker management.
auth
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argocd
GitOps continuous delivery with Argo CD for Kubernetes deployments. Use when implementing declarative GitOps workflows, application sync/rollback, multi-cluster deployments, progressive delivery, or CD automation. Triggers: argocd, argo cd, gitops, application, sync, rollback, app of apps, applicationset, declarative, continuous delivery, CD, deployment automation, kubernetes deployment, multi-cluster, canary deployment, blue-green.
accessibility
Web accessibility patterns, WCAG compliance, and inclusive design. Use when implementing accessible UI, keyboard navigation, screen reader support, focus management, semantic HTML, or auditing for compliance. Triggers: accessibility, a11y, WCAG, ARIA, screen reader, keyboard navigation, focus, tab order, tabindex, alt text, color contrast, semantic HTML, landmark, role, aria-label, aria-labelledby, aria-describedby, aria-live, aria-expanded, aria-selected, aria-hidden, focus trap, roving tabindex, skip link, assistive technology.
python
Python language expertise for writing idiomatic, production-quality Python code. Covers web frameworks (FastAPI, Django, Flask), data processing (pandas, numpy, dask), ML patterns (sklearn, pytorch), async programming, type hints, testing with pytest, packaging (pip, uv, poetry), linting (ruff, mypy, black), and PEP 8 standards. Use for any Python development including data engineering and machine learning workflows. Triggers: python, py, pip, uv, poetry, virtualenv, pytest, pydantic, fastapi, django, flask, pandas, numpy, dataclass, type hints, asyncio, mypy, ruff, black, sklearn, pytorch, tensorflow, jupyter, pipenv, conda.
api-documentation
Document REST APIs with OpenAPI/Swagger specifications, endpoint documentation, authentication, error handling, and SDK guides. Use for API reference docs, Swagger specs, and client library documentation. Triggers: api docs, openapi, swagger, endpoint documentation, rest api, api reference, sdk documentation, api specification, document api, api endpoints, request response examples, schema documentation, openapi 3.1, redoc, stoplight, postman collection, api explorer, interactive docs, api contract, api schema, swagger ui, authentication flows, rate limits.
loom-plan-writer
REQUIRED skill for creating Loom execution plans. Designs DAG-based plans with mandatory knowledge-bootstrap and integration-verify bookends, parallel subagent execution within stages, and concurrent worktree stages for maximum throughput. Trigger keywords: loom, plan, stage, worktree, orchestration, parallel execution, parallel stages, concurrent execution, knowledge-bootstrap, integration-verify, acceptance criteria, signal, handoff, execution graph, dag, dependencies, loom plan, create plan, write plan, execution plan, orchestration plan, stage dependencies, parallel subagents, functional verification, wiring verification, smoke test.
wiring-test
Generates wiring verification YAML for loom plans. Helps agents prove that features are properly integrated — commands registered, endpoints mounted, modules exported, components rendered. Use when writing truths/artifacts/wiring fields for loom plan stages.
dead-code-check
Generates dead code detection configurations for loom plan verification. Provides language-specific commands, fail patterns, and ignore patterns for Rust, TypeScript, Python, Go, and JavaScript. Use when adding code quality checks to acceptance criteria or truths fields in loom plans. Dead code detection catches incomplete wiring by identifying code that exists but is never called.
before-after
Generates before/after verification pairs for loom plans. Proves a stage actually changed system behavior by capturing state before and after implementation. Use for delta-proof verification — proving new commands, endpoints, modules, or bug fixes work by comparing system state.
stata-mcp
Run or debug Stata workflows through the local io.github.tmonk/mcp-stata server. Use when users mention Stata commands, .do files, r()/e() results, dataset inspection, Stata graph exports, or data browsing with sorting/filtering.
maintenance-support-packages
Build recurring revenue by creating monthly maintenance packages with support SLAs, feature request quotas, and tiered options that turn one-time $15K projects into $15K + $1K/month recurring income.
software-demonstration-script
Generate compelling demo walkthrough scripts that highlight key features, create "wow moments", handle objections, and transition smoothly to closing the $15K+ sale.
tech-stack-decision-maker
Get confident tech stack recommendations for any software project based on requirements, with justification for each choice, Claude Code prompts to build with that stack, deployment strategy, and cost breakdown.
client-onboarding-workflow
Create automated onboarding sequences, information gathering forms, kickoff meeting agendas, requirements documentation templates, and progress update schedules that make clients feel they made the right $15K decision.
cold-outreach-generator
Generate cold email templates, LinkedIn messages, follow-up sequences, and value propositions tailored to specific industries that actually get responses and book discovery calls.
niche-opportunity-finder
Discover untapped B2B software opportunities by analyzing specific industries for boring business problems, pain points, willingness to pay, competition levels, and where to find these businesses.
competitor-analysis-positioning
Analyze existing SaaS competitors, identify gaps they're missing, craft unique positioning, and develop talking points to overcome "why not just use [SaaS product]?" objections.
bug-triage-prioritizer
Triage bug reports by severity, recommend fix order, generate client communication templates, determine whether to charge for fixes, and provide Claude Code prompts to resolve issues quickly.
time-resource-estimator
Estimate realistic project timelines, break down hours by feature/phase, include buffer for revisions, set achievable client expectations, and avoid over-promising deadlines you can't meet.
10x-vision
Strategic amplification mode that reveals blind spots, untapped opportunities, and hidden leverage points in any business strategy, entrepreneurship idea, or creative content project. Cuts through noise to show what others miss.
niche-research
Deep market analysis that downloads an entire industry into your brain. Searches forums, Reddit, industry sites, events, and platforms to uncover pain points, language, opportunities, and the perfect software solution to sell them.
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