Total 50,315 skills, Automation has 1496 skills
Showing 12 of 1496 skills
Reassign fulfillment orders from one location to another for warehouse overflow or regional routing.
Spec-driven development pipeline orchestrator. Given a URL or text description, automatically generates specs, implements code, runs codex review, applies security gate, executes tests, syncs docs, and notifies via Telegram. Triggers on: /start-workflow, start workflow, build feature, implement feature, spec-driven, start pipeline.
Use when the task needs real browser automation, DOM exploration, browser session state, network capture, or browser-backed request replay with Opensteer. The default pattern is: explore with the CLI first, then write the final code with the SDK.
Capture idea or task as todo from current conversation context
Autonomous Zest Protocol LTV guardian — monitors borrowing positions, detects liquidation risk, and executes safe repayments with enforced spend limits to protect collateral on Stacks mainnet.
ISA-5.1 tag naming, ISA-88 batch control, ISA-95 enterprise integration, ISA-18.2 alarm management, and ISA-101 HMI standards reference. Use when working with instrument tags, naming conventions, or plant hierarchy.
SAP Ariba integration. Manage data, records, and automate workflows. Use when the user wants to interact with SAP Ariba data.
Expensify integration. Manage data, records, and automate workflows. Use when the user wants to interact with Expensify data.
Fill web forms by fetching form fields from a URL, deep-searching the user's local knowledge base for relevant info, and generating a markdown document with all answers pre-filled. Use when the user provides a URL to a web form (conference application, speaker submission, event registration, profile form) and wants help filling it out from their existing materials. Also trigger when the user mentions "填网页表", "fill web form", "网页填表", "表单填写", "申请表填写", "conference application", "speaker submission", "讲师申请", "报名表", or provides a URL with "form", "feedback", "apply", "register", "submit" in the path.
Autonomous experiment loop for optimization research. Use when the user wants to: - Optimize a metric through systematic experimentation (ML training loss, test speed, bundle size, build time, etc.) - Run an automated research loop: try an idea, measure it, keep improvements, revert regressions, repeat - Set up autoresearch for any codebase with a measurable optimization target Implements the autoresearch pattern with MAD-based confidence scoring, git branch isolation, and structured experiment logging.
Launch multiple sub-agents in parallel to execute tasks across files or targets with intelligent model selection, quality-focused prompting, and meta-judge → LLM-as-a-judge verification
Prepare and fill federal and state tax return PDF forms