Repairs Postman and Newman runs in CI - a reporter that never writes the HTML file the pipeline expects, a nightly job that fires requests as fast as it can until a partner API rate-limits it, or a report with one row per request when the collection asserts a dozen things between them. Authors Postman collections (requests, tests, variables, environments), runs them headless via the Newman CLI, configures reporters (cli / json / junit / html) for CI artifact upload, and drives data-driven runs from JSON / CSV iteration files. Use when HTTP API tests are authored in Postman and need to run, pace themselves, and report correctly in CI.

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.

Context-efficient codebase navigation and documentation using structured frontmatter headers. Use this when exploring an unfamiliar codebase, answering "where is X / how does Y work" questions, or when asked to add/maintain file-level documentation. Index a tree's headers in one pass instead of reading every file, and generate or validate frontmatter with the bundled scripts. Reach for it whenever token budget matters while navigating code, even if the user does not say "frontmatter".

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".

Automatic quality control, linting, and static analysis procedures. Use after every code modification to ensure syntax correctness and project standards. Triggers onKeywords: lint, format, check, validate, types, static analysis.

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.

Creates bash scripts with argument parsing, error handling, logging, and input validation following current standards. Use when creating new bash or shell scripts, .sh files, CLI tools, scripting automation, text processing workflows (grep/awk/sed pipelines), or building production-ready command-line utilities. Trigger phrases include 'write a bash script', 'create a shell script', 'generate a .sh file', 'bash command', 'scripting', or 'automate with bash'.

Comprehensive toolkit for validating, linting, and optimizing bash and shell scripts. Use this skill when working with shell scripts (.sh, .bash), validating script syntax, detecting unquoted variables, checking POSIX compliance, identifying unsafe command substitutions, validating shebang lines, finding security vulnerabilities, or debugging shell script problems.

Generates Jenkinsfiles with stages, agents, parallel builds, post-build actions, and security scanning for Declarative and Scripted pipeline syntaxes. Use when creating a Jenkins pipeline script, Groovy pipeline, or build configuration; implementing CI/CD workflows, continuous integration, or build automation; adding Docker/Kubernetes deployments, matrix builds, parameterized pipelines, or DevSecOps security scanning to a Jenkins setup.

Comprehensive toolkit for validating, linting, testing, and automating Jenkinsfile pipelines (both Declarative and Scripted). Use this skill when working with Jenkins pipeline files, validating pipeline syntax, checking best practices, debugging pipeline issues, or working with custom plugins.

Ports the visual identity of any live website into a React plus Tailwind CSS project. Extracts colours, typography, spacing, component styles via browser automation, source inspection, curl, wget, DevTools. Writes structured documentation, applies findings as Tailwind v4 CSS tokens, then verifies by visually diffing the original site against the local build. Use when cloning a brand, replicating a design system, matching a reference site, migrating visual identity, copying a style guide, porting a theme from any live URL into a React codebase, matching a client reference design.