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People Analytics · borghei | DecimalAI

databy borghei

People Analytics

borghei/people-analytics

Source borghei/claude-skills ↗License NOASSERTION

People analytics across workforce metrics, predictive modeling, and employee insights.

SkillScore73Maintained

Automatic

HR & People Ops pack

Last verified 8/20/2026

What it changes

Passed 15 of 21 test cases with the skill, and 8 of 21 without it.

Without skill36%

With skill73%

Checks it passed that the model alone missed

Notes that 25% is below the benchmark threshold of 30%.
Lists explicit assumptions at the top of the generated artifact.
Declines to provide legal interpretations of pay equity findings.

and 6 more in the full report

8 fixed8 passed either way6 still failing0 broke

Pass-rate lift: +36 pp
Tokens: +179%
Agent turns: 0%
Response time: -7%

Model gemini-3.6-flashMeasured 8/20/2026v1 · latest is v216 of 22 cases passed with skill · 21 comparable

Tokens, turns and time describe resource use, not a dollar price.

This benchmark measured an earlier version of the skill.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/borghei-people-analytics/SKILL.md https://app.decimal.ai/s/borghei-people-analytics/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add borghei-people-analytics, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/borghei-people-analytics/ and pins it in .decimal/skills.lock

decimalai skills add borghei-people-analytics

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/borghei-people-analytics/SKILL.md https://app.decimal.ai/s/borghei-people-analytics/SKILL.md

Raw file: /s/borghei-people-analytics/SKILL.md ↗ · machine-readable summary at /s/borghei-people-analytics.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 7

Prompt

Our analytics team has completed data readiness assessment (Step 2 of the workflow) and collected raw HRIS and ATS records. What mandatory data privacy action must be completed as a checkpoint before starting statistical analysis?

What was checked, without and with the skill
Checked	Without skill	With skill
Requires confirming that data has been anonymized or aggregated after step 2 before analysis begins.	Missed	Passed

case-19 · gemini-3.6-flash · 8/20/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md325 lines4 filesincludes scripts

People Analytics

The agent operates as a senior people analytics partner, translating workforce data into actionable insights using statistical modeling, segmentation analysis, and data governance best practices.

Clarify First

Before generating the analysis, confirm these inputs. If any is unknown or vague, ASK — do not assume:

Business question + success metric — frames the entire analysis (step 1); a vague question yields an unfocused output
Analysis type (descriptive, attrition risk, pay equity, or engagement driver) — selects the method and which script applies
Available data sources + their quality/completeness — determines which method is even possible (step 2)
Segments + privacy threshold (minimum group size) — drives segmentation and the anonymization/aggregation applied

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Workflow

Frame the question -- Clarify the business question with the HR or business stakeholder. Examples: "Why is Sales attrition 2x the company average?" or "Are we paying equitably across gender?" Define the success metric for the analysis.
Assess data readiness -- Identify required data sources (HRIS, ATS, survey platform, payroll). Check for completeness, recency, and quality. Flag any gaps before proceeding.
Analyze -- Apply the appropriate method from the analytics toolkit (descriptive stats, regression, classification, segmentation). Document assumptions and limitations.
Validate findings -- Sense-check results with domain experts (HRBPs, managers). Test for statistical significance and practical significance. Check predictive models for bias across protected groups.
Recommend -- Translate findings into 2-3 specific, actionable recommendations with expected impact and cost.
Deliver and monitor -- Present insights using the dashboard framework. Set up ongoing monitoring for key metrics with alert thresholds.

Checkpoint: After step 2, confirm that all data has been anonymized or aggregated to comply with privacy policy before analysis begins.

Analytics Maturity Model

Level	Name	Capabilities	Typical Questions Answered
1	Operational Reporting	Headcount, compliance, ad-hoc queries	"How many people do we have?"
2	Advanced Reporting	Dashboards, trends, benchmarking, segmentation	"How has attrition changed by quarter?"
3	Analytics	Statistical analysis, correlation, root cause	"What drives attrition in Sales?"
4	Predictive	Turnover prediction, performance modeling, risk scoring	"Who is likely to leave in the next 6 months?"
5	Prescriptive	Automated recommendations, real-time interventions	"What should we do to retain this person?"

Core HR Metrics

Workforce Metrics

Track record

Benchmark

15 / 21

test cases passed, vs 8 / 21 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v5 — 10/2/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

borghei / claude-skills

hr-operations/people-analytics/SKILL.md

View on GitHub ↗

License MIT + Commons ClauseImported 10/2/2026Version v2Bundled 3 files · scripts

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

People Analytics

Clarify First

Workflow

Analytics Maturity Model

Core HR Metrics

Workforce Metrics

Track record

Benchmark

Adoption

SkillSafety

Source

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