eas-workflows
Helps create and interpret workflow files in .eas/workflows/. Covers EAS build pipelines, CI/CD, and automated deployments for Expo projects.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Helps create and interpret workflow files in .eas/workflows/. Covers EAS build pipelines, CI/CD, and automated deployments for Expo projects.
Guides EC2 virtual machine operations, including instance launches, AMIs, and network configuration. Covers security groups, key pairs, connectivity troubleshooting, and instance lifecycle automation.
Covers ECharts setup, lifecycle management, responsive resizing, theming, large datasets, streaming, and server-side rendering. Troubleshoots blank charts and resize failures, excluding chart-type selection and other charting libraries.
Assesses business health through unit economics and identifies opportunities in traffic, conversion, order value, retention, and expansion. Uses an adapted Ansoff Matrix and channel readiness analysis to prioritize market, channel, and product growth.
Uses uploaded product photos to generate a compact set of main, feature, and lifestyle images that preserve product appearance. The described version requires reference imagery and excludes brief-only concept generation and platform-specific batch exports.
Retrieves FMP economic calendar events for a specified period, defaulting to the next seven days. Outputs JSON or text for filtering and impact assessment, followed by a Markdown report.
Uses web and online literature evidence to recommend EcoSIM trait parameters for a named plant. Starts from a read-only plant trait description file and the ndlf43 tree or gr3s43 grass archetype without modifying the file.
Provides starting guidance on framework selection, hybrid composition, and agent patterns. Covers installation, environment setup, and selection of subsequent skills.
Generates long-side equity research tickets from end-of-day observations, hypotheses, and anomalies. Exports strategy.yaml and metadata.json specifications and checks edge-finder-candidate/v1 compatibility before pipeline backtests.
Abstracts detector tickets and hints into concepts with an investment thesis, invalidation signals, and strategy playbooks. Prepares these concepts for subsequent strategy design and export.
Derives edge hints from daily market observations and reactions to news, with optional LLM ideation. Produces canonical hints.yaml output for downstream concept synthesis and automated detection.
Orchestrates a multi-stage edge research pipeline end to end. Covers candidate detection, strategy design, review, revision, and export.
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