Skills

azuresql-db-faq

Answers questions about what Azure SQL Developer (Private Preview) can and cannot do, and WHY it differs from Azure SQL Database in the Microsoft Azure cloud. Use when a user asks "can I take a backup", "why does USE fail", "is X supported", "why can't I create a vector index", "why does SSMS error"

create-revenuecat-project

Set up a complete RevenueCat project from scratch — creates apps, products, entitlements, offerings, and packages in the correct order. Use when the user wants to create a new RevenueCat project, configure in-app purchases, set up subscriptions or monetization, or bootstrap IAP infrastructure for iO

endor-troubleshooter

Use this agent when the user needs help diagnosing and fixing Endor Labs errors, warnings, missing integrations, scan failures, slow scans, or unhealthy configuration. Endor Troubleshooter gathers the smallest useful read-only Endor evidence, classifies the issue across scan, integration, authentica

signals-scout-web-analytics

Signals scout for PostHog web traffic. Watches per-channel session volume, attribution breakage, and landing-page health (bounce / 404 steps) against the site's own baseline, and files each validated divergence as a report in the inbox. Per-page web vitals have their own dedicated `signals-scout-web

zapier-explore

Explore what Zapier MCP can do for the user — interview them about their role and the apps they live in, suggest specific use cases as on-demand prompts, then walk them through enabling the actions to make those use cases real. The natural next step after `zapier-demo`. Use when the user asks "what

aidp-credentials

Manage the AIDP credential store (secrets) — list, get, create, update, delete credentials used by AIDP workflows. Use when the user wants to store/rotate a secret centrally instead of embedding it, or manage connection credentials. Primary engine is the official `aidp` CLI (`aidp credentials …`); t

full-output-enforcement

Overrides default LLM truncation behavior. Enforces complete code generation, bans placeholder patterns, and handles token-limit splits cleanly. Apply to any task requiring exhaustive, unabridged output.

music-to-video

Turn a music track (an audio file, a video to pull audio from, or a track generated from a mood brief) into a beat-synced video — lyric video, slideshow, or kinetic promo. The music drives all pacing; any user-supplied images/videos are cut onto the same beat grid, and a complete video needs zero as

doc

Read, create, and edit .docx documents with formatting and layout fidelity via OpenAI's document skill.

cloud-sql-sqlserver-data

Use these skills when you need to explore the database schema, execute SQL queries to interact with your data, and monitor system-level performance metrics using PromQL queries.

hf-cloud-serving-image-selection

Pick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this f

huggingface-tool-builder

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process da

exploring-mcp-tool-quality

Investigate the quality of PostHog MCP tool calls — error rates, latency, reach, and which tools are failing or slow. Use when the user asks "which MCP tool has the highest error rate?", "what's the slowest tool?", "which tools fail most often?", "how reliable is tool X?", wants a tool-quality matri

zoom-apps-sdk

Reference skill for Zoom Apps SDK. Use after routing to an in-client app workflow when building web apps that run inside Zoom meetings, webinars, the main client, or Zoom Phone.

third-party-integrations

Use when a val talks to an external service — Slack, Discord, Telegram, Stripe, GitHub, Gmail, Google Sheets, Postgres/Supabase/Upstash/Neon, browser automation (Playwright, Browserbase, Kernel, Steel), web scraping, PDF generation, push notifications, RSS, or any other third-party API. Covers the r

setup-security-agent

Configure AWS Security Agent for the current workspace — provision or reuse an agent space, IAM service role, and S3 bucket. Use when the user asks to "set up security agent", "configure security scanner", "is security agent configured", or on first-time use before any scan or pentest.

domino-ai-gateway

Access external LLM providers through Domino AI Gateway - a secure proxy with centralized API key management, usage monitoring, and compliance. Supports OpenAI, AWS Bedrock, Azure OpenAI, Anthropic, and more. Use when calling LLMs from Domino, configuring AI Gateway endpoints, or monitoring LLM usag

microfrontends

Guide for building, configuring, and deploying microfrontends on Vercel. Use this skill when the user mentions microfrontends, multi-zones, splitting an app across teams, independent deployments, cross-app routing, incremental migration, composing multiple frontends under one domain, microfrontends.

ci-cd-integration

Guide for agents to help users integrate NightVision DAST scanning into CI/CD pipelines. Use when setting up security scans in GitHub Actions, GitLab CI, Azure DevOps, Jenkins, BitBucket, or JFrog pipelines, configuring NightVision tokens, creating targets, running scans, exporting results as SARIF/

ntm

Use NTM as an optional pane adapter for caller-supplied roles and commands. Triggers: "ntm", "tmux panes", "ntm robot state".

sentry-snapshots-cocoa

Full Sentry Snapshots setup for Apple/Cocoa projects. Use when asked to "setup SnapshotPreviews", "setup Apple snapshot testing", "upload Apple snapshots to Sentry", "setup Apple snapshot GitHub Actions", or "setup Apple selective snapshot testing".

domino-experiment-tracking

Track traditional ML experiments in Domino using the MLflow-based Experiment Manager. Covers experiment setup, auto-logging for sklearn/TensorFlow/PyTorch, manual logging, artifact storage, run comparison, and model registration. Use when training ML models, logging metrics and parameters, comparing

fal-image-edit

AI-powered image editing with style transfer, background removal, object removal, and inpainting via fal.ai hosted models.

observability

Design and implement AWS observability solutions. Use when configuring CloudWatch metrics, logs, alarms, dashboards, Logs Insights queries, X-Ray tracing, anomaly detection, or debugging monitoring gaps.