Handles end-to-end meeting scheduling using the Superhuman Mail MCP server — from finding available times to sending the invite or proposing times via email. Use this skill whenever someone asks to "schedule a meeting with [person]", "find a time to meet", "book a call", "set up a meeting", "when am I free to meet with [person]", "propose times to [person]", "send my availability", "create a meeting invite", "schedule a 1:1", "find overlap in our calendars", "reschedule my meeting with [person]", or any variation of coordinating a meeting. Also trigger when someone says "I need to find time with [person]", "can you check my calendar and suggest times", "set up a recurring sync", "block time for [task]", or when an email thread involves scheduling and the user wants to act on it. Trigger broadly — if someone needs help coordinating when people meet, this skill should activate.

Scan a codebase to find every instance of missing or inadequate input validation for data from external or untrusted sources, then propose context-appropriate fixes using whitelisting, regex, type coercion, size/range checks, encoding, etc. Use whenever the user asks to audit, review, or harden input validation in any codebase regardless of language. Trigger on: "check my inputs", "find injection risks", "validate user input", "security audit inputs", "input sanitisation review", "taint analysis", "harden my API inputs", "check for missing validation", "is my app safe from injection?". Platform- and language-independent.

Selectively instruments code to capture runtime data for debugging failures and bugs. Use when investigating crashes, exceptions, unexpected behavior, test failures, or performance issues. Analyzes stack traces and error messages to identify suspicious code regions, then adds targeted logging, tracing, and assertions to capture variable values, execution paths, timing, and conditional branches. Supports Python, JavaScript/TypeScript, Java, and C/C++.

Use this skill when writing or debugging ES|QL queries for Elasticsearch. Activate when the user asks to query logs, metrics, traces, or any Elasticsearch data using ES|QL syntax.

Worktrunk release workflow. Use when user asks to "do a release", "release a new version", "cut a release", or wants to publish a new version to crates.io and GitHub.

Create production-ready GitHub Actions workflows for automated testing, building, and deploying applications. Use when setting up CI/CD with GitHub Actions, automating development workflows, or creating reusable workflow templates.

Plan Juicebox SDK upgrades. Trigger: "upgrade juicebox", "juicebox migration".

Incident response procedures for Granola meeting capture failures and outages. Use when meetings aren't recording, transcription fails mid-meeting, integrations stop syncing, or the Granola service is down. Trigger: "granola incident", "granola outage", "granola down", "granola not recording", "granola emergency".

Help developers integrate Chainlink Data Feeds into smart contracts and applications. Use for price feed integration, feed address lookup, consumer contract generation, multi-chain data feeds (EVM, Solana, Aptos, StarkNet, Tron), MVR bundle feeds, SVR/OEV feeds, feed monitoring, historical data, L2 sequencer checks, rates/volatility feeds, SmartData/RWA feeds, or debugging feed integrations. Trigger on any mention of Chainlink price feeds, oracle data, AggregatorV3Interface, latestRoundData, or feed addresses.

Patterns for Atlas database schema management covering HCL/SQL schema definitions, versioned and declarative migrations, linting analyzers, testing, and project configuration. Use when working with atlas.hcl, .hcl schema files, Atlas CLI commands, or database migrations.

Create custom OpenLineage extractors for Airflow operators. Use when the user needs lineage from unsupported or third-party operators, wants column-level lineage, or needs complex extraction logic beyond what inlets/outlets provide.

Deploys Airflow DAGs and projects. Use when deploying Airflow or answering anything about deployment - deploying DAGs/projects, pushing code, setting up CI/CD, deploying to production or deployment strategies for Airflow.

Configures and runs LLM evaluation using Promptfoo framework. Use when setting up prompt testing, creating evaluation configs (promptfooconfig.yaml), writing Python custom assertions, implementing llm-rubric for LLM-as-judge, or managing few-shot examples in prompts. Triggers on keywords like "promptfoo", "eval", "LLM evaluation", "prompt testing", or "model comparison".

Interactive guided deployment flow for Azure OpenAI models with full customization control. Step-by-step selection of model version, SKU (GlobalStandard/Standard/ProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).

Create webhook endpoints with signature verification, retry logic, and payload validation. Use when receiving and processing webhook events. Trigger with phrases like "create webhook", "handle webhook events", or "setup webhook handler".

Build secure API authentication systems with OAuth2, JWT, API keys, and session management. Use when implementing secure authentication flows. Trigger with phrases like "build authentication", "add API auth", or "secure the API".

Query and analyze data in Azure Data Explorer (Kusto/ADX) using KQL for log analytics, telemetry, and time series analysis. WHEN: KQL queries, Kusto database queries, Azure Data Explorer, ADX clusters, log analytics, time series data, IoT telemetry, anomaly detection.

Implements standardized API error responses with proper status codes, logging, and user-friendly messages. Use when building production APIs, implementing error recovery patterns, or integrating error monitoring services.