Ai Coding Agents

Create story examples for components. Use when writing stories, creating examples, or demonstrating component usage.

Generates Enonic XP scripts for bulk content operations — creating, updating, querying, migrating, and transforming content using lib-content and lib-node APIs. Covers the query DSL (NoQL), aggregations, batch processing, task controllers for long-running operations, and export/import workflows. Use when writing bulk content creation, update, or deletion scripts, querying with NoQL syntax, migrating content between environments, running long-running task operations, or working with aggregations and paginated retrieval. Do not use for Guillotine GraphQL frontend queries, content type schema definitions, single contentLib.get() calls, or non-Enonic data migration tools.

Design AWS serverless architectures for startups with IaC. Use when designing serverless architecture, writing CloudFormation, optimizing AWS costs, setting up CI/CD, or migrating to AWS across Lambda, API Gateway, and DynamoDB.

Smoke test for alicloud-solution-content-article-illustrator. Validate solution-skill structure, compatibility-oriented documentation, prompt-before-image workflow, backend recommendation policy, and final Markdown output artifacts.

HOWL v2 — Hunt, Optimize, Win, Learn. Nightly self-improvement loop for the WOLF autonomous trading strategy. Runs once per day (via cron) to review all trades from the last 24 hours, compute win rates, analyze signal quality correlation, evaluate DSL tier performance, identify missed opportunities, and produce concrete improvement suggestions for the wolf-strategy skill. v2 adds fee drag ratio (FDR) analysis, holding period bucketing, LONG vs SHORT regime detection, rotation cost tracking, cumulative drift detection, and gross vs net profit factor separation. Use when setting up daily trade review automation, analyzing trading performance, or improving an autonomous trading strategy through data-driven feedback loops. Requires Senpi MCP connection, mcporter CLI, and OpenClaw cron system.

GraphQL performance optimization and best practices for building scalable APIs. This skill should be used when writing, reviewing, or refactoring GraphQL schemas, resolvers, or query execution code. Triggers on tasks involving GraphQL APIs, resolver optimization, query performance, or data fetching patterns.