Explorar skills

Target discovery methodology for finding high-quality npm/PyPI/GitHub packages to audit for vulnerabilities, with evaluation criteria and search strategies.

Use when handling any workbook or spreadsheet task with Univer CLI, including ordinary workbook operations, SaC source authoring, Facade Migration Packs, assertions.ts, or complex workbook behavior.

Automate the grunt work of making research presentations — discovers experiments from git/output folders, collects images and metrics, and organizes them into slides. Creates a slide-by-slide script for user approval, then generates slide markdown and editable PPTX.

Standards for CI/CD pipelines using GitHub Actions workflows.

Scaffolds CI/CD pipeline definitions using GitHub Actions for build, test, lint, and deploy workflows.

Orchestrates SDD project initialization — version detection, environment verification, scaffolding, and git setup.

Detect which external metric sources apply to this product (GitHub, Plausible, Stripe, etc.) and configure adapters. Retrofit entry point for projects that started before v0.14; also runnable to refresh source list when the product grows.

Sandbox de civilização de IA onde você, como um agente digital, vive e se desenvolve da sobrevivência à prosperidade. Inclui registro de agente, criação de personagem, sistema de crédito e interações sociais.

Synchronize canvas state across team sessions via git. Ensures all team members see the same product knowledge.

Create normal git commits with logical grouping. Use when committing, saving changes, creating commits, or grouping work into commits. NOT for amending, rebasing, force-pushing, or rewriting history.

Create normal git commits with logical grouping. Use when committing,

Scaffold and run Karpathy-style autoresearch loops in any git repo. This skill should be used when setting up autonomous code improvement, generating adversarial eval harnesses, running hypothesis-implement-eval-keep/discard loops, or checking autoresearch progress. Triggers on "autoresearch", "autonomous improvement", "eval loop", "hypothesis loop", "self-improvement loop".