# Performance Review

> Run an employee performance review: gather OKRs and metrics, analyze performance against targets, and generate a review report. Use for periodic or annual performance evaluations and OKR tracking.

- Skill: `knuckles-team/performance-review` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add knuckles-team/performance-review`
- Raw SKILL.md: https://api.skillmd.com/api/skills/knuckles-team/performance-review/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Product & Planning
- Author: Knuckles-Team (https://skillmd.com/u/knuckles-team)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/knuckles-team/performance-review

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# Performance Review Workflow

**CONCEPT:KG-2.12 — Company Operations Domain**

Periodic performance evaluation leveraging KG OKR cascading
for transparent, data-driven reviews.

## Steps

### Step 0: Gather OKR Progress
**Agent**: `hr-coordinator`
**Tools**: `graph_query`

Query KG for employee's OKR hierarchy using cascadesTo traversal:
- Organization-level OKRs → Department OKRs → Individual OKRs
- okrProgress (0.0–1.0) for each objective
- Key result completion rates
- Cross-functional contributions (edges to other team's goals)

### Step 1: Compute Metrics & Trends
**Agent**: `analytics-agent`
**Tools**: `graph_query`, `data_science_mcp`

Analyze performance data:
- OKR completion rate vs. targets
- Competency growth (proficiencyLevel changes)
- Peer review scores (if available)
- Sprint velocity / throughput metrics
- Comparison to role-level benchmarks

### Step 2: Generate Review Document
**Agent**: `report-generator`
**Tools**: `graph_write`, `document_tools`

Generate structured performance review:
- Strengths and achievements
- Areas for improvement
- OKR scorecard with evidence links
- Development plan recommendations
- Compensation review recommendation (if applicable)

### Step 3: KG Persistence
**Agent**: `graph-os`

Create PerformanceReview node linked to:
- Employee via reviewedIn edge
- OKR nodes via measuresGoal edges
- Next review cycle via scheduledFor

## Output
- Performance review document (PDF/MD)
- PerformanceReview node in KG with reviewRating
- Development plan recommendations
- Compensation adjustment recommendation (for human review)

## Human Oversight Required
✅ Final performance ratings and compensation changes require manager approval.

## Execution

Run this workflow as a dependency-ordered DAG. Steps with no unmet `depends_on` run in parallel; dependents run after their prerequisites complete.

- **Run first (in parallel):** Step 0 — Gather OKR Progress; Step 1 — Compute Metrics & Trends; Step 2 — Generate Review Document; Step 3 — KG Persistence

**Execution:** If graph-os is reachable, offload the whole DAG via `graph_orchestrate action=execute_workflow` (or the `kg-delegate` skill) for true parallel/swarm execution. Otherwise execute the steps natively in dependency order: run steps with no unmet `depends_on` in parallel, then their dependents.