benchmarking-analyst
Benchmarking study skill for internal, competitive, and best-in-class performance comparison
npx skills add a5c-ai/babysitter --skill benchmarking-analyst --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Benchmarking Analyst ## Overview The Benchmarking Analyst skill provides comprehensive capabilities for conducting benchmarking studies. It supports internal, competitive, and best-in-class benchmarking, KPI normalization, best practice identification, and adaptation planning. ## Capabilities - Benchmark partner identification - KPI selection and normalization - Data collection methodology - Performance gap analysis - Best practice identification - Adaptation planning - Progress tracking - Benchmarking database maintenance ## Used By Processes - CI-003: Benchmarking Program - CI-001: Operational Excellence Program Design - QMS-002: TQM Program Development ## Tools and Libraries - APQC benchmarking database - Industry consortiums - Survey tools - Data analysis platforms ## Usage ```yaml skill: benchmarking-analyst inputs: benchmarking_type: "best_in_class" # internal | competitive | functional | best_in_class focus_area: "Order fulfillment cycle time" current_performance: metric: "order_to_ship_days" value: 5 benchmark_sources: - type: "industry_database" source: "APQC" - type: "consortium" source: "Supply Chain Council" target_percentile: 90 # aim for top 10% outputs: - benchmark
- Overview
- Capabilities
- Used By Processes
- Tools and Libraries
- Usage
- Benchmarking Types
- Benchmarking Process
- Phase 1: Planning
- Phase 2: Analysis
- Phase 3: Integration
- Phase 4: Action
- KPI Normalization
- Example
- Performance Gap Analysis
What does the benchmarking-analyst skill do?
Benchmarking study skill for internal, competitive, and best-in-class performance comparison
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill benchmarking-analyst --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.