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Found 11 Skills
Infrastructure automation and configuration management using Ansible playbooks, roles, and inventory. Use for deploying applications, patching, and managing servers.
Guidelines for data analysis and Jupyter Notebook development with pandas, matplotlib, seaborn, and numpy.
Expert-level Ansible for configuration management, automation, and infrastructure as code
Write a marimo notebook in a Python file in the right format.
Expert knowledge for Azure Automation development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Azure Automation runbooks/DSC, Hybrid Runbook Workers, Change Tracking, CI/CD, or cross-cloud integrations, and other Azure Automation related development tasks. Not for Azure Functions (use azure-functions), Azure Logic Apps (use azure-logic-apps), Azure Scheduler (use azure-scheduler), Azure Update Manager (use azure-update-manager).
Analyzes a deal in progress and generates a comprehensive closing strategy. Researches the target company, maps the buying committee, builds objection responses, creates competitive positioning, and outputs a tactical deal-playbook.md with next-best-actions and a mutual close plan.
Create runbooks, playbooks, and technical documentation for engineering teams. Use when the user wants to document a process, create a runbook, build operational docs, or formalize any repeatable technical procedure. Triggers on requests like "create a runbook for...", "document this process", "write a playbook", or any technical documentation request.
Use this skill when writing, reviewing, or improving internal engineering documents - RFCs, design docs, post-mortems, runbooks, and knowledge base articles. Triggers on drafting a design proposal, writing an RFC, creating a post-mortem after an incident, building an operational runbook, organizing team knowledge, or improving existing documentation for clarity and completeness.
Guide a person through a change they must make by hand in a UI you do not control - an admin console, a portal, a settings page, a dashboard - and prove it landed by measuring the system before and after. Use this whenever the agent cannot or must not make the change itself and a human has to click: the user says walk me through it, teach me step by step, how do I do this in the portal, I will do it by hand, you cannot write to this system, or asks for a runbook, handover checklist or click-by-click guide for any console (CRM, cloud portal, DNS, SaaS admin, CI settings, database GUI, router, payment dashboard). Also use it when handing hand-work back at the end of a task the agent could only partly automate. Do not use it for changes the agent can just make itself in code or via an API it is allowed to call.
Plan and synthesize pre-draft reader conversations for useful nonfiction books, including listening interviews, teaching calls, reader-language capture, promise validation, scope refinement, and TOC testing. Use when validating a practical book idea, finding target readers, preparing interview prompts, testing a table of contents, or turning reader conversations into book decisions.
Use for Jupyter, JupyterLab, marimo, and Google Colab workflows. Choose this skill when creating, converting, or improving reproducible notebooks for data exploration, analysis, documentation, or teaching.