Total 43,548 skills, Automation has 1325 skills
Showing 12 of 1325 skills
Resolve PR review feedback by evaluating validity and fixing issues in parallel. Use when addressing PR review comments, resolving review threads, or fixing code review feedback.
Implement a research paper in a marimo notebook fully automatically without extra user input.
A fast Rust-based headless browser automation CLI with Node.js fallback that enables AI agents to navigate, click, type, and snapshot pages via structured commands.
Design and implement end-to-end client onboarding workflows from prospect intake through funded account, covering KYC verification, document collection, e-signature, and custodian submission. Use when the user asks about building a digital onboarding flow, integrating identity verification or CIP checks, reducing NIGO rejection rates, opening complex account types like trusts or entities, connecting to custodian APIs, designing suitability questionnaires, or comparing advisor-assisted vs self-service models. Also trigger when users mention 'new account opening', 'onboarding bottleneck', 'KYC integration', 'beneficial ownership', 'OFAC screening', 'account funding', or 'onboarding automation'.
Run bean-check plus custom validation rules on the ledger. Ensures every entry balances, accounts exist, and no common errors are present. Use after any ledger modification to verify integrity. CLEAR step: L (Log)
Vercel agent-browser — Rust CLI for AI-driven browser automation via CDP. Use when: "agent-browser", "browse website", "automate browser", "scrape with browser", "fill form", "click button", "take screenshot", "browser automation", "headless chrome", "web interaction", "accessibility snapshot", "browser refs". Deterministic ref-based selectors, JSON output, daemon architecture. Replaces Playwright/Puppeteer for agent workflows.
Contractbook integration. Manage data, records, and automate workflows. Use when the user wants to interact with Contractbook data.
Autonomous PRD implementation loop — turns GitHub issues into shipped code using TDD, code review gates, and Docker sandbox isolation. The execution engine for the grill-me → write-a-prd → prd-to-issues → ralph pipeline.
Ralph Wiggum-inspired automation loop for specification-driven development. Orchestrates task implementation, review, cleanup, and synchronization using a Python script. Use when: user runs /loop command, user asks to automate task implementation, user wants to iterate through spec tasks step-by-step, or user wants to run development workflow automation with context window management. One step per invocation. State machine: init → choose_task → implementation → review → fix → cleanup → sync → update_done. Supports --from-task and --to-task for task range filtering. State persisted in fix_plan.json.
Expensify integration. Manage data, records, and automate workflows. Use when the user wants to interact with Expensify data.
Automate the full release lifecycle — version bump, changelog, README update, git tag, GitHub release, and PyPI/npm publishing. Use this skill whenever the user wants to cut a release, bump a version, tag and push, create a GitHub release, generate release notes or a changelog, publish to PyPI or npm, or asks what changed since the last release. Even if the user just says ship it, make a release, or tag this version — this skill should handle it. Don't use for routine commit/push, opening PRs, or publishing to VS Code Marketplace/App Store (use the dedicated skills).
Background knowledge for droid-control workflows -- not invoked directly. Agent-browser driver mechanics for web page and Electron desktop app automation.