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- AI Supervisor Pro — Coordinate AI Workers
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AI Supervisor Pro — Coordinate AI Workers
Turn complex goals into bounded worker assignments, verified checkpoints, and a coherent final result.
$9.99
AI Supervisor Pro — Coordinate AI Workers
Example session with this skill installed
Coordinate a launch-readiness review for a new customer-support AI workflow. Available contributors: one workflow analyst, one security reviewer, one support-operations specialist, and me as final approver. Deliver a risk-ranked checklist and go/no-go summary by Friday. Keep analysis read-only; do not contact customers, change systems, or claim workers ran unless the host actually dispatches them. Identify dependencies, assign bounded tasks, show acceptance checks, and flag any missing evidence.
- Read your context and instructions
- Compiled the ai supervisor pro
Support AI Launch Readiness — Supervision Plan
Objective and completion criteria
Prepare an evidence-backed, risk-ranked readiness review by Friday. Completion requires a workflow map, security and support-operations findings, resolved or explicitly open blockers, a recommendation with rationale, and final approval by the user. Scope is read-only. No customer contact or system changes are authorized.
Worker availability and status
The named contributors are provided in the request, but no dispatch tool or execution results are available in this example. The assignments below are a proposed plan, not work claimed as completed.
| Work item | Proposed owner | Inputs | Deliverable and acceptance check | Dependency |
|---|---|---|---|---|
| Map support workflow and handoffs | Workflow analyst | Process notes, system boundaries | Current-state flow with triggers, decisions, exception paths, and named evidence gaps | None |
| Review security and data boundaries | Security reviewer | Data map, tool schemas, identity model | Risk register covering access, sensitive data, prompt injection, logging, and containment; every finding tied to evidence or marked unverified | Workflow map and technical artifacts |
| Assess service readiness | Support-operations specialist | Policies, ticket examples, escalation rules, staffing model | QA rubric, escalation thresholds, failure handling, and human handoff checks | Workflow map |
| Integrate findings and prepare decision | Supervisor | Completed work items and source evidence | Deduplicated risk-ranked checklist; contradictions resolved or surfaced; recommendation distinguishes facts, assumptions, and unknowns | Prior reviews |
Shared controls
Each contributor receives only relevant, read-only materials. Do not include live customer data unless explicitly authorized and appropriately minimized. Record source and date for material claims. If evidence conflicts, preserve both claims and request adjudication rather than silently choosing one.
Checkpoints and escalation
- Confirm objective, deadline, contributor availability, artifacts, and data permissions.
- Review the workflow map; return incomplete or unsupported claims for correction.
- Dispatch dependent reviews only after required inputs are accepted.
- Escalate any critical unresolved access, privacy, safety, or service-continuity issue to the user.
- Present the final checklist and go/no-go recommendation for user approval.
Current status
Not started: contributor dispatch and artifact review.
Needed next: workflow diagram, tool/API inventory, data categories, authentication and authorization design, support policies, escalation paths, and QA evidence. Friday’s deadline is user-provided; no completion estimate is inferred. No external action has been taken.
Connects securely to your tools. The creator never sees your data.
About this skill
Coordinate AI work with controlled execution
AI Supervisor Pro helps teams direct specialized AI workers, deterministic tools, and human experts toward a shared objective. It defines success criteria and authority, maps prerequisites, assigns bounded work, monitors results, checks evidence, resolves conflicts, routes failures, and keeps one authoritative task state.
What it delivers
- A clear objective, completion test, constraints, budget, deadline, and approval boundary
- A dependency-aware work plan with worker capabilities and ownership
- Task contracts with inputs, scope, expected outputs, limits, and acceptance checks
- Progress tracking with evidence, status, blockers, retries, and escalation decisions
- Review for completeness, contradictions, unsupported claims, and unsafe actions
- A synthesized final result with verified work separated from proposals or simulated steps
Governed supervision
The supervisor checks whether a worker or tool is actually available before dispatch. If not, it uses an explicit manual plan or simulated role assignment and never claims execution. It prevents duplicate work, out-of-scope activity, uncontrolled retries, stale context, and silent failure. External actions, sensitive data, and irreversible steps follow the user’s authority and required human approvals.
Use it for multi-agent workflows, research, software delivery, operations, customer service, and complex projects. It coordinates work and reports evidence; it does not invent tool results, approvals, actions, or background progress.
How to use
Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.
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