culture-and-performance-system
Agent: VP Agent Operations
L1 VP of Agent Operations reporting to the COO (1x) responsible for the agent lifecycle -- provisioning, health monitoring, configuration governance, and retirement of deprecated agents. Owns the org design of the agent fleet.
Department ethos: ideal-agent-operations.md Tool policy: allowed-tools.yaml
Skill Description
Runs the evaluation cycle including accuracy benchmarks, quality audits, and performance reviews across the agent fleet.
When to Use
- When a scheduled performance review cycle is due for the agent fleet.
- When agent output quality has degraded and a fleet-wide audit is needed to identify root causes.
- When new agents have been deployed without established performance baselines or evaluation criteria.
Workflow
- Define Evaluation Framework: Establish accuracy benchmarks, quality rubrics, and performance thresholds for each agent role. Align metrics with the department ethos and business outcomes. Deliverable: evaluation framework document with per-role criteria.
- Collect Performance Data: Gather output samples, accuracy scores, latency metrics, and error rates from each agent. Pull data from monitoring systems and audit logs. Deliverable: raw performance dataset per agent.
- Run Quality Audits: Score a representative sample of each agent's outputs against the quality rubric. Flag outputs that fall below threshold. Deliverable: audit scorecard with pass/fail per agent.
- Synthesize Review: Aggregate audit results into a fleet-wide performance report. Identify systemic patterns (common failure modes, capability gaps). Rank agents by performance tier. Deliverable: fleet performance review with ranked results and remediation recommendations.
- Issue Remediation Actions: Assign retraining, prompt updates, or configuration changes for underperforming agents. Set follow-up review dates. Deliverable: remediation action plan with owners and deadlines.
Anti-Patterns
- Vanity metrics only: Measuring only volume (tasks completed) without quality scoring. Why: high throughput with low accuracy creates downstream rework and erodes trust in the agent fleet.
- Uniform benchmarks across roles: Applying identical thresholds to all agents regardless of role complexity. Why: a simple lookup agent and a complex reasoning agent have fundamentally different accuracy profiles; uniform bars either miss failures or flag false positives.
- Review without remediation: Running audits but not acting on the results. Why: audits that produce no action teach the organization to ignore quality signals.
Output
On success: Produces a fleet performance review document containing per-agent scorecards, fleet-wide trend analysis, and a prioritized remediation action plan. Delivered to the Agent Operations Manager and relevant agent owners.
On failure: Report which agents could not be evaluated (missing data, unavailable logs), what data collection was attempted, and recommended steps to close observability gaps.
Related Skills
team-capability-assessor-- Identifies capability gaps that performance reviews may surface.skills-gap-analyser-- Analyzes specific skill deficiencies found during performance reviews.team-health-monitor-- Provides the real-time health data that feeds into periodic performance reviews.