数据库 MCP（PostgreSQL / MySQL / Redis）

Use this skill when helping users add MCP servers to their Warp configuration.

Skill validation framework PLUS daily test-suite health and regression intelligence. Validates skill conformance (frontmatter, manifest coverage, resolver coverage). Runs the project test suite in tiered phases (unit / evals / integration / system health), classifies failures, and produces a regression-aware report.

Kubernetes expert for cluster ops, manifests, kubectl debugging, RBAC, networking, workloads, storage. Auto-loads when kubectl/k8s mentioned with an action verb. Do NOT trigger on incidental "service"/"pod"/"cluster" or Terraform/Helm-only questions. Keywords kubernetes, kubectl, k8s, deployment, ingress, gateway api, networkpolicy, rbac, kustomize.

Add or update workspace MCP servers using holaOS mcp_registry syntax.

REST API server and MCP protocol integration

Testing patterns for NIC including Go table-driven tests, snapshot tests, and Python integration tests. Use when writing unit tests, snapshot tests, policy tests, template tests, Helm tests, or pytest integration tests for the Ingress Controller.

Skill for writing Dockerfiles based on user requirements.

Automate browser interactions using the Browserbase browse CLI. Use when a task requires navigating websites, reading page state, clicking elements, filling forms, or validating browser results with the browse command.

SOP for debugging browser automation failures on complex websites. Use when browser tools fail on specific sites like LinkedIn, Twitter/X, SPAs, or sites with Shadow DOM.

Intakes existing content from external sources, classifies each chunk against the PAI destination taxonomy, and commits approved chunks with provenance. Sources: .md/.markdown/.txt, stdin, PAI TELOS/MEMORY/KNOWLEDGE dirs, CLAUDE.md/.cursorrules/OpenAI Custom Instructions, Obsidian/Notion/Apple Notes exports, journal dumps. MigrateScan.ts chunks and classifies, producing a routing table with per-target counts and confidence %. MigrateApprove.ts approval loop: --approve-all, --approve-target, --review, --dry-run. UNCLEAR never bulk-approved. Phase 6 delivers summary and /interview recommendation for sparse areas. Confidence: ≥70% auto-approve; 40-70% confirm; <40% walk-through. Destinations: TELOS (MISSION/GOALS/PROBLEMS/STRATEGIES/CHALLENGES/BELIEFS/WISDOM/MODELS/FRAMES/NARRATIVES/SPARKS), IDEAL_STATE (per-dimension explicit call), preferences (BOOKS/AUTHORS/MOVIES/BANDS/RESTAURANTS/FOOD_PREFERENCES/LEARNING/MEETUPS/CIVIC), Identity (PRINCIPAL_IDENTITY.md — always prompts), Knowledge (MEMORY/KNOWLEDGE/{Ideas,P

Generate CSS code while strictly avoiding the use of the universal selector (*) to prevent performance issues and unintended style inheritance.

Generates CSS for scalable graphics where the container uses em units and internal elements use percentage dimensions to ensure responsive scaling.

Bring src/mobile-experimental Avalonia/MAUI mobile apps to feature and behavior parity with src/mobile/ios while preserving native platform feel. Use when comparing the Swift iOS app against XerahS.Mobile.Ava, XerahS.Mobile.Maui, or the experimental iOS share extension, implementing parity gaps, or validating Android/iOS experimental mobile flows.

Parse a structured design brief written in I-Lang protocol format into a concrete design spec. Eliminates ambiguity from vague requests like "make it professional" by requiring explicit dimensions: palette, typography, layout, mood, density, and constraints. Trigger keywords: "design brief", "create a design brief", "ilang brief", "structured brief".

Bring src/mobile/android to feature and behavior parity with src/mobile/ios while keeping each app native. Use when comparing iOS Swift/SwiftUI/UIKit mobile behavior against Android Kotlin/Jetpack Compose behavior, implementing missing Android features, or validating parity with the Test Android Apps emulator QA workflow.

Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.

Next.js 16+ and Turbopack — incremental bundling, FS caching, dev speed, and when to use Turbopack vs webpack.

Manage Docker containers, images, volumes, networks, and Compose stacks — lifecycle ops, debugging, cleanup, and Dockerfile optimization.

Refactor existing code without changing behavior — split oversized files, extract duplicates, simplify over-engineered patterns. Use when files exceed size thresholds, code is duplicated 4+ times, or has speculative abstractions, dead options, or wrapper indirection. Triggers "refactor", "split", "deduplicate", "simplify", "untangle", "clean up". Complements built-in `simplify` (which only reviews recent diffs).

Execute upgrade Cursor versions and migrate settings. Triggers on "upgrade cursor", "update cursor", "cursor migration", "cursor new version", "cursor changelog". Use when working with cursor upgrade migration functionality. Trigger with phrases like "cursor upgrade migration", "cursor migration", "cursor".

Multi-Cursor orchestration for parallel task execution and AI council deliberation. Use when needing to run multiple Cursor agents in parallel, coordinate complex multi-step coding tasks, get diverse perspectives from different AI models (Opus/Sonnet/GPT) on technical decisions, or synthesize multi-agent discussions into actionable recommendations.

Use Cursor editor and Cursor agent for coding tasks

Use Cursor safely across editor, CLI, rules, background agents, Bugbot, and MCP workflows with repo-aware context and reviewable execution.

Headless browser automation via agent-browser — Rust CLI daemon with persistent auth profiles for fast, scriptable, parallel browser work. Supports batch commands, network interception, device emulation, per-site profile auth (one-time headed login, headless forever after), and parallel isolated sessions via --session. Workflows: ReviewStories (fan out YAML user stories to parallel UIReviewers), Automate (load/run parameterized recipe templates), Update. Delegates to general-purpose agents with agent-browser instructions for background parallel scraping. Falls back to Interceptor if site has bot detection. USE WHEN headless browser, batch scrape, fast screenshot, dev server test, parallel browser, background automation, extract data, review stories, automate recipe, batch screenshots, scrape multiple pages in parallel. NOT FOR deploy verification or UI confirmation with real Chrome (use Interceptor). NOT FOR simple single-URL fetching (use WebFetch). NOT FOR CAPTCHA or bot-detection bypass (use BrightData or

Scrape social media platforms, business data, and e-commerce via Apify actors — Instagram profiles/posts/hashtags/comments, LinkedIn profiles/jobs/posts, TikTok profiles/hashtags/videos/comments, YouTube channels/search/comments, Facebook posts/groups/comments, Google Maps business search with contact/review/image extraction, Amazon products/reviews/pricing, and general-purpose multi-page web crawling with custom pageFunction extraction logic. File-based TypeScript wrappers (scrapeInstagramProfile, searchGoogleMaps, scrapeAmazonProduct, scrapeWebsite, etc.) filter and transform data in code before returning to model context, achieving 95-99% token savings over direct MCP protocol. Parallel multi-platform queries via Promise.all for social listening dashboards. Lead enrichment pipeline: Google Maps → qualified filter → optional LinkedIn enrichment. Competitive analysis across Instagram, YouTube, and TikTok simultaneously. USE WHEN scrape Instagram, scrape LinkedIn, scrape TikTok, scrape YouTube, scrape Faceboo

Headless browser automation via agent-browser — Rust CLI daemon with persistent auth profiles for fast, scriptable, parallel browser work. Supports batch commands, network interception, device emulation, per-site profile auth (one-time headed login, headless forever after), and parallel isolated sessions via --session. Workflows: ReviewStories (fan out YAML user stories to parallel UIReviewers), Automate (load/run parameterized recipe templates), Update. Delegates to general-purpose agents with agent-browser instructions for background parallel scraping. Falls back to Interceptor if site has bot detection. USE WHEN headless browser, batch scrape, fast screenshot, dev server test, parallel browser, background automation, extract data, review stories, automate recipe, batch screenshots, scrape multiple pages in parallel. NOT FOR deploy verification or UI confirmation with real Chrome (use Interceptor). NOT FOR simple single-URL fetching (use WebFetch). NOT FOR CAPTCHA or bot-detection bypass (use BrightData or

Scrape social media platforms, business data, and e-commerce via Apify actors — Instagram profiles/posts/hashtags/comments, LinkedIn profiles/jobs/posts, TikTok profiles/hashtags/videos/comments, YouTube channels/search/comments, Facebook posts/groups/comments, Google Maps business search with contact/review/image extraction, Amazon products/reviews/pricing, and general-purpose multi-page web crawling with custom pageFunction extraction logic. File-based TypeScript wrappers (scrapeInstagramProfile, searchGoogleMaps, scrapeAmazonProduct, scrapeWebsite, etc.) filter and transform data in code before returning to model context, achieving 95-99% token savings over direct MCP protocol. Parallel multi-platform queries via Promise.all for social listening dashboards. Lead enrichment pipeline: Google Maps → qualified filter → optional LinkedIn enrichment. Competitive analysis across Instagram, YouTube, and TikTok simultaneously. USE WHEN scrape Instagram, scrape LinkedIn, scrape TikTok, scrape YouTube, scrape Faceboo

Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.

Design experiments and quasi-experiments before analysis. Use when choosing study design, treatment/control structure, outcomes, assumptions, validation plans after scientific experiment failure, or which of DiD, ITS, synthetic control, or regression discontinuity fits the research question. For fitting models or estimating effects on existing data, use performing-causal-analysis instead.

CSS animation adapter patterns for HyperFrames. Use when authoring CSS keyframes, animation-delay based timing, animation-fill-mode, animation-play-state, or CSS-only motion that HyperFrames must seek deterministically during preview and rendering.

Research-before-coding workflow. Search for existing tools, libraries, and patterns before writing custom code. Systematizes the "search for existing solutions before implementing" approach. Use when starting new features or adding functionality.

Build or adapt a local browser/CDP harness to drive and inspect a web, IDE, or Electron UI. Use for local UI verification, screenshots, accessibility snapshots, perf profiles, visual diffs, or reproducing UI bugs.

Build or adapt a local harness to drive, inspect, and profile an interactive CLI or TUI without external services. Use for CLI UX checks, startup regressions, memory leaks, hangs, prompt flows, or terminal demos.

Use when writing or running tests for this project. Covers unit vs E2E test decisions, test file locations, mock patterns, and project-specific testing conventions. (project)

Extract durable working preferences from recent Cursor chats and convert them into skills, rules, or workflow docs. Use when asked to learn preferences, mine feedback, personalize workflows, or generate team/person-specific agent guidance.

Summarize authored commits over a user-specified time period into a concise update

Review the current branch for bugs, intent fit, and test coverage; run or write tests; commit focused work; open or update a PR.

Prepare PRs for review by cleaning noisy history, improving PR descriptions, and adding reviewer guidance without changing code behavior. Use for "make this easy to review", "tidy this PR", "clean up commits", or "annotate the diff".

Monitor PR checks and fix failures until green. Uses gh pr checks as the source of truth for PR-attached checks.

Find failing PR checks, inspect logs or external check links, and apply focused fixes

Kubernetes expert: kubectl, manifests, RBAC, networking, Helm, troubleshooting. Use when deploying to Kubernetes, writing manifests, or debugging K8s issues.

Use the mcporter CLI to list, configure, auth, and call MCP servers/tools directly (HTTP or stdio), including ad-hoc servers, config edits, CLI/type generation, and MCP-backed skills that need a durable command path.

Generate safe, correct SQL scripts for the Rock RMS database. Handles INSERT, UPDATE, DELETE, SELECT queries, data migrations, and seed scripts that respect Rock's schema conventions (PersonAlias, audit columns, FK constraints, DefinedType/DefinedValue lookups, Guid-based references). Use when the user says "create a sql script", "write sql", "insert data", "seed data", "data migration", "update records", "sql for Rock", "populate data", "add test data", "query Rock database", or any request involving direct SQL against the Rock RMS database. Also use when the user describes data they want to add, modify, or query in Rock — even if they don't explicitly say "SQL" — such as "add 100 attendance records", "create a new campus", "give Ted Decker some financial transactions", or "set up check-in data". If the task involves Rock database records and SQL is the right tool, use this skill.

Design Django ORM models for Sentry following architectural conventions for silos, replication, relocation, and foreign keys. Use when adding a new Django model, designing a model for a feature, deciding where data should live, picking a foreign key type, or refactoring an existing model's silo placement. Trigger on "add a Django model", "create a model", "design a model for X", "new database table", "store this data in the DB", "I need to track Y", "model for [feature]". Not for Pydantic models, dataclasses, ML models, or Protobuf — this is specifically for Django ORM models in the Sentry codebase.

Run a repeatable RDF4J performance loop against one JMH benchmark in Docker with Linux Java 26 and JFR CPU-time profiling. Use when working in this repo on benchmark-guided performance changes, hotspot triage, JFR reading, CPU bottleneck analysis, or repeated baseline, fix, and rerun loops. Trigger on requests mentioning benchmark, profiling, JFR, hotspot, perf loop, CPU bottleneck, or Docker benchmark runs in RDF4J.

Build and customise Gradio themes. Use when creating, editing, or publishing Python-based Gradio themes that control colours, typography, spacing, shadows, and dark mode.