Use when designing how tests run in CI on any platform (GitHub Actions, GitLab CI, Jenkins, CircleCI): how many shards, which failures are safe to retry, quarantine, artifact retention, per-PR vs nightly cadence, cancel-on-push, timeouts and secrets. CircleCI config patterns are in its references.

Use when a defect has been confirmed in production and the team must name which class of gap let it through before deciding what to build. Classifies it as a test, process or tooling gap and one of thirteen sub-patterns at the earliest layer that should have caught it, with the fix, without blame.

Use when an app uses Auth0 and needs tests for its tenant config, login flows or Action scripts: per-PR or namespaced tenants, Universal Login, PKCE, client credentials, Rules and Hooks, and config drift with a0deploy. Generic OAuth flows are oauth-flow-test-author.

Use for any request to generate API tests from an OpenAPI or GraphQL schema, or to find inputs that make an API return 500 that hand-written tests miss: Schemathesis fuzzes every endpoint for 5xx errors and schema violations from the CLI or pytest, picks the conformance checks and gates CI as the API evolves.

Use when a JVM project wants HTTP API tests written as Karate .feature files instead of Java code: the Gherkin-style DSL, match with fuzzy validators, JUnit 5 and Maven runs, and JUnit XML for CI. For Java fluent tests use restassured-testing; for Python YAML tests use tavern-testing.

Capture cross-project connections on the fly. Use when you notice a shared pattern, people-bridge, knowledge cascade, narrative amplifier, or flywheel loop linking two projects. Persists structured YAML to a bridges directory. Triggers on: bridge, connects to, feeds into, same pattern as, cross-project link, archetype detection, bidirectional, one-way, active, potential, theoretical.

Turn a completed or in-progress Codex chat session, repository change, debugging investigation, implementation, code review, or security fix into a publishable technical blog draft. Use when the user asks to capture highlights from Codex work, write a post from a session, summarize agentic development lessons, draft for lirantal.com/blog, draft for nodejs-security.com/blog, or transform implementation/debugging/review findings into an article for agentic developers and software developers.

Debug UI changes with a repeatable evidence-first workflow. Use when validating visual regressions, reproducing frontend bugs, comparing baseline vs changed behavior, collecting screenshots/DOM/logs, or producing stakeholder-ready UI debug reports. Keywords: ui bug, visual regression, browser devtools, playwright, screenshot evidence, dom snapshot, frontend debugging.

Generates and formats git commit messages following the Conventional Commits specification. Use when the user asks for help writing commit messages, formatting git commits, wants to write a commit msg for staged changes, needs to produce a changelog entry, or mentions conventional commits, semantic versioning, or version bumps. Analyzes diffs or change descriptions, selects the correct type/scope, writes an imperative-mood header under 72 characters, and composes optional body and footer sections including breaking-change notation.

Complete Bun.js ecosystem guidance for runtime APIs, file I/O, package management, testing, SQLite, and security; use proactively when setting up Bun projects, replacing Node.js APIs with Bun-native APIs, writing bun test suites, implementing Bun.serve services, using bun:sqlite with prepared statements, configuring workspaces and lockfiles, hardening shell and SQL boundaries, or optimizing Bun performance and migration workflows.

Complete Biome toolchain guidance for real repository workflows. Use when users ask to configure biome.json, run lint or format commands, migrate from ESLint or Prettier, tune rule severity, fix formatter drift, or replace mixed ESLint+Prettier pipelines with Biome-only workflows.

Guide for implementing React compound component patterns with dot notation in this codebase. Use when creating new UI components that have multiple related sub-components, building forms, dashboards, or pages with distinct sections, or when refactoring components that have complex prop drilling. Covers how to create context providers, define typed sub-components with displayName, and export namespaced APIs via dot notation. Activates for component composition, context providers, reusable UI patterns.

Use when creating Docusaurus plugins — write remark transformers for markdown AST, rehype transformers for HTML/HAST, lifecycle plugins that add routes/webpack config/global data via loadContent and contentLoaded, theme plugins and swizzled components, and content plugins for custom data sources. Triggers on tasks involving custom remark/rehype plugins, content plugins, theme plugins, or Docusaurus lifecycle hooks.

Use when writing or reviewing PostgreSQL/PL-pgSQL, designing table schemas, writing functions and procedures, building migrations, defining domains, or architecting a Postgres application database. Also use when writing RAISE EXCEPTION patterns, BEFORE/AFTER triggers for cross-table constraints, base/subtype hierarchies, composite key designs, row-level security policies, or idempotent DDL scripts. If you are touching Postgres for an application database, use this skill. PostgreSQL-specific — examples will not run on other engines.

Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.

Implements HTMX interactions, configures swap behaviors, debugs hx-* requests, and builds hypermedia-driven UI components. Use when tasks involve hx-* attributes, HTMX AJAX requests, swap strategies, server-sent events, WebSockets, or hypermedia-driven UIs.

Implements, evaluates, and deploys multi-armed bandit algorithms — including Thompson Sampling, UCB, epsilon-greedy, LinUCB, EXP3, and contextual bandits. Covers algorithm selection, experiment harnesses, offline evaluation (IPS, Doubly Robust), infrastructure patterns, and correctness verification. Use when the user asks about multi-armed bandits, exploration-exploitation tradeoffs, adaptive experiments, A/B testing alternatives, online optimization, bandit-based recommendation or personalization systems, or contextual bandits.

Create baseline context from .context/session/in/ folder with manifest-driven organization (run once per project). Use when bootstrapping project context, setting up .context/session/ctx/ snapshot. Triggers include "create context", "bootstrap context", "setup context", "init context".

Generate PromQL queries for calculating error rates, aggregating metrics across labels, creating histogram percentiles, writing recording rules, and building SLO burn-rate alerts following Prometheus best practices. Use when creating new PromQL queries, implementing monitoring and alerting rules, building observability dashboards, working with Prometheus metrics (counters, gauges, histograms, summaries), or applying RED (Rate, Errors, Duration) and USE (Utilization, Saturation, Errors) monitoring patterns.

Comprehensive toolkit for validating, optimizing, and understanding Prometheus Query Language (PromQL) queries. Use this skill when working with PromQL queries, prometheus queries, metrics queries, alerting rules, recording rules, or grafana dashboards to check syntax, detect anti-patterns, identify optimization opportunities, and interactively plan queries with users.

Apply Clean Architecture principles to define layer boundaries, identify dependency violations, and structure domain vs infrastructure code. Use when designing service boundaries, separating business logic from infrastructure, evaluating hexagonal/onion/ports-and-adapters architecture, structuring module layout, or resolving dependency inversion and circular dependency issues.

Select and apply structural design patterns (Strategy, Factory, Adapter, Observer, etc.) to reduce complexity in class design. Use when evaluating whether a pattern solves a concrete problem, refactoring conditional logic, dealing with too many if/else statements or code smells, resolving inheritance problems, or deciding how to structure classes.

Apply SOLID principles (SRP, OCP, LSP, ISP, DIP) for tactical class design, method extraction, and interface definition. Use when reviewing class design, refactoring code for maintainability, or designing interfaces and abstractions.