agent-trading-predictor
Provides a trading prediction agent skill. The description does not identify markets, data sources, or prediction methods.
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Find your next superpower If you are an agent, refer to our llms.txt for full access.Provides a trading prediction agent skill. The description does not identify markets, data sources, or prediction methods.
Integrates with Box to manage folders, users, groups, and collaborations.
Provides the initial preflight for CCFA research, review, retrieval, experiments, visuals, and maintenance. Encourages direct communication, removes empty defensive framing, and preserves evidence and uncertainty while limiting prose edits to the authorized task.
Creates and improves figures, visual tables, and method or architecture diagrams from supplied content, preserving values and topology. Supports layout, color, GPT Image 2 generation, pure SVG, and editable SVG, PDF, and PPTX outputs.
Author your own OpenAgent persona file and mint its shareable holo trading card — write, validate, tier and render `<id>.persona.yaml`. Use when creating or updating YOUR identity as a persona or card, provisioning a live teammate from one, or moving an agent (persona, skills, memory) to another harness as one agent.tar.gz.
Guides academic and research writing from initial planning through final polish. Supports structuring, revising, and improving research articles, conference papers, and technical reports.
Recognizes image content and generates ideal-versus-reality visual comparisons. Applies across subjects such as architecture, portraits, products, food, travel, games, fitness, interiors, and technology.
Uses bat-cli to submit an AI tool to bataitools.com. Follows a continuous three-step workflow: extract, translate, then package and submit.
Adapts explanations to a person's knowledge level or audience type. Simplifies technical or complex material for children, managers, nontechnical audiences, or others needing an accessible explanation.
Supports GitHub Actions workflow automation and intelligent CI/CD pipelines. Combines AI swarm coordination with repository management.
Investigates dotnet/skills evaluations that underperform baselines, lack statistical power, return no results, or show no credible improvement. Helps fix regressions and decide whether a weak skill should be strengthened or retired.
Provides Alpine.js development guidelines for lightweight reactive interactions. Covers use with Tailwind CSS and various backend frameworks.
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