All skills

A rule-based China A-share screening skill that uses the 60-day moving average for trend direction and MACD for entry rhythm, ranking candidates A–D with triggers and stop-loss rules.

A pattern library for setting up reliable, scalable scheduled functions (cron jobs) in Convex apps.

Ready-to-use Convex patterns for file uploads, URL serving, deletion, and `_storage` metadata access.

Builds or refreshes the Operator Project Index by driving the `operator-helper` CLI end to end.

Runs the `operator-helper` CLI to initialize and configure the Operator User Partition, with built-in recovery steps.

A code-pattern skill for building stateful AI agents on Convex with threads, tools, streaming, RAG and multi-step workflows.

Switches a coding agent's account only on explicit request, then verifies the new identity by asking the runtime itself instead of diffing credential files.

A routing skill that picks the right Basin product (Pipelines, Catalog, or SQL) and guides you through building or debugging R2 Iceberg analytics workflows.

A skill for designing and reviewing robot software modules using SOLID, real-time rate separation, and fail-safe defaults.

Proven architecture patterns for robot software — behavior trees, FSMs, HALs, safety systems — with working code examples.

Builds a full month of SMB social media posts with specific topics, angles, formats, and visual direction for each slot.

Merges every Interactive Brokers trade CSV in a folder into a grouped summary report exported as both Markdown and CSV.

Spawns three parallel subagents to produce diverse solutions, then scores them and returns the best with trade-offs.

Turns feature requests into detailed, sequential implementation plans with file-level tasks and dependencies.

A skill that guides Claude to copy, move, and extract functions or classes between files with line-level precision.

Reviews assignment (Abtretung) clauses in German standard terms against §§305–310 BGB and drafts safer replacement wording.

A step-by-step methodology for analyzing dataset distribution and bias, building stratified splits, planning expansion, and running an ethics review.

Defines how the TestDriver agent reviews pull requests, onboards from issues, and responds to @mentions on GitHub.

A reference skill for configuring and debugging TestDriver's screenshot-based cache to speed up AI test runs.