Runs servers and corporate systems — patching, configuration baselines, change control, capacity, and the routine that prevents incidents. Use this to establish a patching cadence, standardize server configuration, plan a maintenance window, decide change control for infrastructure, or clean up systems that have drifted from any known state.
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Well-run systems are boring. The work is in the routine that keeps them that way, and almost every serious incident traces back to a routine that was skipped.
Cloud environment design belongs to technology:cloud-infrastructure; this is operating the systems
the company runs on.
Every system class needs a defined baseline: build, hardening, agents, logging, accounts. Systems built by hand from memory diverge immediately and cannot be reasoned about as a group.
Drift is the real enemy. Detect it continuously and correct rather than document — a system that no longer matches its baseline is a system whose behavior under patching or failover is unknown.
The strongest form is disposability: rebuild rather than repair. A system you can rebuild in an hour never accumulates the sediment of a decade of manual fixes.
Set a regular, predictable window and hold it. Ad hoc patching means patching happens when someone worries, which is never in proportion to actual risk.
Tier by exposure: internet-facing systems on the shortest cycle, then internal, then isolated.
Emergency patching is a separate path with its own authority, used for actively exploited
vulnerabilities — security:vulnerability-management decides what is urgent, this skill executes it.
Track coverage, not activity. "Patching is running" is not an answer; "97% of servers are within 30 days, here are the twelve that are not and why" is.
Heavyweight approval for trivial changes produces circumvention, and circumvention produces unrecorded changes, which is worse than no process.
Tier it: standard pre-approved changes, normal changes with review, emergency changes with after-the-fact record. Every change needs an owner, a back-out plan, and a record — the back-out plan being the part most often assumed rather than written.
Maintenance windows exist to make disruption predictable. Announce them, keep them, and finish inside them.
An unmanaged system is a system nobody patches. Reconcile what is running against
it-operations:it-asset-management regularly, and treat anything unaccounted for as urgent — the
server nobody owns is the one still running an unsupported operating system.
references/sources.md in this skill lists the outside authorities that settle the questions
here — what each one is authoritative for, and what you may do with it. Check them before
answering on anything they cover, and cite what you used. Most are free to read and not free
to reproduce; the use note on each is binding.
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Designs and audits who can reach what — authentication, authorization models, privileged access, service credentials, and joiner-mover-leaver process. Use this to design a permissions model, run an access review, reduce standing privilege, handle offboarding, set up SSO or MFA, manage service and machine credentials, or diagnose why permissions have sprawled.
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Concentrates marketing and sales effort on a named set of accounts rather than on volume — qualifying whether the model fits your economics at all, building the account list and the buying group inside each, tiering effort against account value, coordinating so the account experiences one campaign rather than several, and measuring account progression instead of leads. Use this to decide whether to run an account-based program, build one, or work out why an existing one produces activity and no pipeline.
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Gets new users from signup to first real value — signup flow, onboarding, time-to-value, and the early experience that determines whether someone becomes a user or a lapsed account. Use this to design or fix signup and onboarding, diagnose why signups do not convert to active use, reduce time-to-value, or decide what a new user must accomplish first.
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Designs orchestrator-and-subagent hierarchies for a repository — splitting agents by exclusive write surface, pairing every producer with an independent auditor, and enforcing the split with a script that runs in CI. Use this whenever the user wants to set up, expand, audit, or fix a multi-agent or subagent structure for a codebase; asks how to divide work between agents; wants agent charters, roles, or a surface map written; or is hitting agents that collide on the same files, review their own work, or drift from their remit. Also use when sizing a roster or deciding whether a new agent is justified.
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Governs models and AI systems in production — intended use, evaluation, monitoring, human oversight, documentation, and the decision to deploy or retire. Use this before deploying a model or AI feature, when defining evaluation criteria, when a model's behavior has drifted, when assessing AI risk or regulatory exposure, or when deciding whether an AI system is fit for a consequential decision.
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Produces executive-level research — market sizing, competitor mapping, trend analysis, and strategic intelligence — grounded in cited sources with the confidence in each claim made explicit. Use this to analyze a market or industry, map competitors, evaluate a market-entry or build-versus-buy decision, produce a research brief, or assemble evidence for a decision. Also use when comparing options that need a structured, evidence-based verdict rather than an opinion.
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