效率提升技能

Use Browserbase when an agent needs hosted browser sessions, remote automation, session recording, and scalable browser infrastructure without managing Chromium fleets directly. This skill packages the Browserbase API and SDK into a concrete workflow for running, monitoring, and extracting results from cloud browser sessions.

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Turn an existing coding agent into a supervised local work assistant that connects to workplace tools, reusable skills, workflows, and scheduled loops.

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Use Kiln to create eval datasets, rate outputs, optimize prompts and models, and ship the same AI task or agent definition from a local workbench into production code.

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browser-use is an open-source Python framework for letting AI agents interact with websites through a real browser. It supports local execution, optional cloud browsers, custom tools, and a CLI for persistent browser sessions.

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Browserable is an open-source, self-hostable browser automation library built for AI agents. This skill turns Browserable into a repeatable workflow for navigation, form filling, extraction, and browser-based task execution with local control instead of a hosted black box.

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Automates browser tasks with Browser Use, the open-source library that connects LLM reasoning to Playwright-driven web actions. Useful for navigating sites, filling forms, extracting structured page data, and running agentic browser workflows with screenshots and stateful sessions.

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Use browser-use to turn natural-language web tasks into repeatable browser automation backed by Playwright and agent loops. This skill helps an agent open sites, inspect page state, click, type, extract data, and recover from common UI changes with a real automation framework instead of brittle one-off scripts.

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Run realistic enterprise-style IT scenarios before trusting an automation agent in production operations.

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Use ZCF to initialize, update, and standardize Claude Code or Codex environments with prompts, workflows, MCP services, API settings, and backups.

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Run a real-task benchmark suite against OpenClaw agents so model or harness changes can be compared before they hit production workflows.

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Compare browser-agent reliability on a repeatable task and anti-bot suite before choosing a stack or claiming progress.

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Baserow is an open-source no-code platform for databases, automations, internal apps, and API-first workflows. It is useful when teams need spreadsheet-like data management, self-hosting, and programmable access without building a custom admin stack from scratch.

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Operate Lark and Feishu work objects from one agent-ready CLI instead of stitching together separate APIs and browser flows.

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Assess a public HTTP(S) page before building browser automation, extraction, or an integration. Use this skill to collect bounded structural evidence, readiness signals, risk flags, acceptance tests, and remediation priorities without sending credentials or accessing private targets.

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5-phase repeatable structure for autonomous agent sessions: context-load, tiered work-selection, coordination claim, execute, and persist-learning. Prevents duplicate work across concurrent sessions and ensures every run produces durable artifacts. Runtime-agnostic — Claude Code, gptme, Codex, or any persistent-workspace agent.

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Use GitHub Agentic Workflows to let an agent triage issues, inspect CI failures, or deliver scheduled repository upkeep inside GitHub Actions with explicit workflow definitions and reviewable runs. This is for bounded, repeatable repository operations, not for listing GitHub as a general coding platform.

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AutoGen is Microsoft's open-source framework for building multi-agent systems where AI agents converse with each other and humans to solve tasks, with support for tool use and human-in-the-loop workflows.

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Use DeepAgents to build long-running task agents with a batteries-included harness for planning, tools, and workflow structure.

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Constructs Kubernetes-native workflow DAGs using Argo Workflows CRDs with configurable retry strategies, artifact passing via S3/MinIO, and template composition through WorkflowTemplates and ClusterWorkflowTemplates.

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Executes ansible-playbook --check --diff mode and parses the JSON callback output using the ansible.posix.json callback plugin. Identifies tasks that would change, predicts idempotency issues, and generates change impact reports.

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Route, label, and clean routine email traffic with scripted IMAP rules instead of doing the same inbox chores by hand.

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Analyzes Argo Workflows DAG templates to identify parallelization opportunities. Uses the Argo Server API to fetch workflow execution history and critical path analysis.

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Lints and validates Argo Workflows templates using the argo CLI and Argo Server REST API. Detects DAG dependency cycles, invalid artifact references, and parameter type mismatches across workflow steps.

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Executes Ansible playbooks for server diagnostics and remediation using ansible-runner Python SDK. Supports inventory parsing, vault-encrypted credentials, and real-time task output streaming.

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