chief-information-officer
The CIO's remit — running the technology the company works on, service quality, IT spend, and the boundary with product engineering. Use this to set IT priorities, decide what IT owns versus engineering, structure IT spend or an IT roadmap, judge whether to build, buy or outsource, or work out why IT is seen as a cost center rather than an enabler.
git clone --depth 1 https://github.com/cbrock84/headcount /tmp/chief-information-officer && cp -r /tmp/chief-information-officer/plugins/it-operations/skills/chief-information-officer ~/.claude/skills/chief-information-officerSKILL.md
# Chief Information Officer The CIO runs the technology the company works *on*. The CTO runs the technology the company *sells*. Confusing the two is why IT ends up owning a product roadmap it cannot resource, or why engineering ends up running a help desk badly. ## What this department owns The systems every employee depends on and nobody markets: identity, endpoints, network, corporate applications, the service desk, and the backup and restore path. Its output is measured in availability, time-to-resolution, and how little anyone has to think about it. - `it-operations:service-desk` — the front door, and the honest measure of whether any of this works - `it-operations:systems-administration` and `it-operations:network-administration` — the estate - `it-operations:endpoint-management` — the most exposed surface, because it leaves the building - `it-operations:identity-lifecycle-administration` — execution of joiner-mover-leaver - `it-operations:it-asset-management` — what you have, who has it, what it costs - `it-operations:backup-and-recovery` — the restore, tested rather than assumed - `it-operations:virtualization-operations` — the hypervisor layer the servers actually run on - `it-operations:cloud-administration` — the corporate cloud and SaaS estate, distinct from the product's - `it-operations:telephony-and-conferencing` — voice, rooms, and the obligations they carry - `it-operations:collaboration-platform-administration` — mail, chat, meetings and file sharing, where most of the organization's unstructured data actually lives ## The boundaries that cause arguments State them once, in writing, and the recurring turf disputes stop: - **Security sets policy; IT executes it.** `security:access-and-identity` decides what a role should be entitled to; this department provisions it. `security:vulnerability-management` decides what is urgent; `it-operations:systems-administration` runs the cadence. - **Engineering owns the product estate; IT owns the corporate estate.** `technology:cloud-infrastructure` designs the environment the product runs in. Where a corporate system runs in the same cloud, ownership follows who the users are, not where it is hosted. - **Continuity objectives are the business's; the restore is IT's.** `operations:business-continuity-and-resilience` sets RTO and RPO with the process owners; this department has to deliver against them and should say plainly when it cannot. ## Build, buy, or outsource Default to buy for anything that is not a differentiator. Building an internal tool that a mature product already solves is a decision to maintain it forever, staffed by people who would rather be doing something else. Outsource where the work is commoditized and the failure is recoverable — first-line support out of hours, hardware logistics. Keep in-house what needs institutional context or carries irreversible risk: identity, data, and anything where a bad decision is discovered a year later. ## The recovery you have never tested is a plan, not a capability Backups that have never been restored, failovers never exercised, and runbooks never followed under pressure are all assertions. The characteristic discovery during a real incident is that one of them was wrong in a way nobody could have known without trying. Test on a schedule, with the person who would actually do it rather than the one who designed it, and time the restore — recovery time is the number the business will ask for, and the only honest answer comes from having done it. The same logic applies to the communication plan: its first real exercise should not be its first real incident. ## Spend, and the cost-center trap Attribute IT cost to the functions consuming it rather than reporting one aggregate. An undifferentiated IT budget invites across-the-board cuts, because nobody can see what any of it buys. The trap is real: a department judged only on cost is asked only to be cheaper, and the first casualties are refresh cycles and patching, which surface as incidents two years later with no visible cause. Report service outcomes alongside cost, and be specific about what a proposed cut removes. Track the split between running the estate and changing it, and defend it as a target rather than letting it be the residue after everything else. An estate consuming everything on keeping the lights on has no capacity to improve, and next year it will consume more — the ratio decays on its own unless someone holds it. ## Never - Accept a continuity objective you have not demonstrated you can meet. - Let identity policy and identity execution sit with the same reviewer. - Build an internal tool for a solved commodity problem. - Report IT cost without reporting what it delivered. - Count an untested restore as a recovery capability.
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.
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.
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.
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.
Optimizes for AI assistants and AI-generated answers — being retrievable, being cited, and being represented accurately when a model answers on your behalf. Use this when traffic is shifting from links to AI answers, when a brand is misrepresented or absent in AI responses, when planning content for retrieval rather than ranking, or when deciding how AI search changes an existing SEO program.
Improves visibility and conversion in the App Store and Google Play — metadata, keywords, screenshots, ratings, and the listing experience that turns an impression into an install. Use this to audit or optimize an app listing, plan a launch listing, diagnose poor install conversion, or improve store search visibility.
Protects and restores data — backup coverage and scope, retention, immutability against ransomware, and proving restores actually work. Use this to design a backup regime, verify restores, plan retention, protect backups from ransomware, or recover from data loss.
Runs the planning cycle — annual budget, rolling forecast, consolidation of business unit inputs, and the variance analysis that explains actuals against plan. Use this to build or challenge a budget, run a forecast cycle, consolidate departmental submissions, explain why results diverged from plan, or improve forecast accuracy.