skills/business/hr/SKILL.md
People operations workflows — recruiting pipeline, performance reviews, compensation analysis, offer drafting, interview prep, onboarding, org planning. Use when managing hiring pipelines, writing performance reviews, analyzing compensation, drafting offers, or planning organizational changes.
npx skillsauth add notque/claude-code-toolkit hrInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Umbrella skill for all people operations: recruiting, performance management, compensation, offer drafting, interview design, onboarding, org planning, people analytics, and policy lookup. Each mode loads its own references on demand.
Scope: Decisions and artifacts involving people's careers, compensation, and organizational structure. Use csuite for strategic business decisions, data-analysis for general analytics, professional-communication for non-HR business writing.
Classify the request into exactly one mode. If the request spans modes, choose the primary and note the secondary.
| Mode | Signal Phrases | References |
|------|---------------|------------|
| RECRUITING | Pipeline, candidates, sourcing, screening, hiring status, time to fill | references/recruiting.md |
| PERFORMANCE | Review, self-assessment, calibration, feedback, rating, promotion case | references/performance-management.md |
| COMPENSATION | Pay, salary, equity, comp bands, benchmarking, offer competitive, retention risk | references/compensation.md |
| OFFER | Draft offer, offer letter, comp package, signing bonus, start date | references/compensation.md |
| INTERVIEW | Interview plan, questions, scorecard, evaluation rubric, debrief | references/recruiting.md |
| ONBOARDING | New hire, first week, 30/60/90, onboarding checklist, buddy | references/recruiting.md |
| ORG-PLANNING | Headcount, reorg, team structure, span of control, org design | references/org-planning.md |
| PEOPLE-ANALYTICS | Attrition, headcount report, diversity metrics, org health, flight risk | references/org-planning.md |
| POLICY | PTO, benefits, leave, expenses, handbook, remote work policy | (no reference — use user-provided policy docs) |
Always load: references/llm-hr-failure-modes.md — applies to every mode.
HR content touches people's careers, livelihoods, and legal rights. These guardrails are non-negotiable.
| Rule | Rationale | |------|-----------| | Source compensation data from user-provided or public databases | Invented market rates cause real pay decisions. State "I don't have current market data" when you don't. | | Focus recommendations on skills, behaviors, outcomes | "Hire more [group]" or "this candidate fits the culture" introduces bias. Focus on skills, behaviors, outcomes. | | Include legal review disclaimer on all binding language | Offer letters, policy interpretations, and termination language need legal review. Always state this. | | Ask for jurisdiction before advising on compliance | Employment law varies by country, state, city. Ask for jurisdiction before advising on compliance, leave, or termination. | | Minimize PII retention; use role/level identifiers | Names, salaries, SSNs, demographics — minimize retention. Use role/level when names aren't needed. | | Flag when output needs legal review | Offer letters, PIPs, termination docs, policy changes, accommodation decisions — always flag. |
Framework: DEFINE → PIPELINE → EVALUATE
Phase 1: DEFINE — Clarify role requirements and pipeline structure.
references/llm-hr-failure-modes.md for biased language (because gendered/exclusionary language reduces qualified applicant pools by 10-40%)Gate: Role defined. Pipeline stages agreed. Posting reviewed for bias.
Phase 2: PIPELINE — Track and manage candidates through stages.
Gate: Pipeline metrics current. Bottlenecks identified.
Phase 3: EVALUATE — Structure interviews and decisions.
Gate: Interview kit complete. Debrief structured. Decision evidence-based.
Onboarding sub-mode (after offer acceptance):
Framework: STRUCTURE → WRITE → CALIBRATE
Phase 1: STRUCTURE — Select review type and load template.
| Type | Use When | |------|----------| | Self-assessment | Employee writing their own review | | Manager review | Manager writing review for direct report | | Calibration prep | Preparing rating distributions for calibration meeting |
Gate: Review type selected. Template loaded.
Phase 2: WRITE — Generate review content with behavioral specificity.
Self-assessment:
Manager review:
Constraint: Describe observable behavior with specific examples ("documentation was incomplete on 3 of 5 deliverables") — because personality feedback triggers defensiveness and has no actionable path. See references/llm-hr-failure-modes.md.
Gate: Review content complete. All feedback behavior-based. Development areas actionable.
Phase 3: CALIBRATE — Prepare rating distribution and promotion cases.
Constraint: Present rating targets as guidelines, with flexibility for team context (because forced ranking creates perverse incentives and has been abandoned by most organizations).
Gate: Distribution documented. Promotion cases evidence-based. Compensation actions justified.
Framework: BENCHMARK → ANALYZE → RECOMMEND
Phase 1: BENCHMARK — Establish market data context.
Gate: Components identified. Variables specified. Data sources declared.
Phase 2: ANALYZE — Score against market and internal equity.
Constraint: Always state data vintage and source limitations. "Based on 2024 Levels.fyi data" not "the market rate is $X" — because stale data presented as current causes underpayment or overpayment.
Gate: Analysis complete. Sources cited. Limitations stated.
Phase 3: RECOMMEND — Deliver actionable compensation recommendations.
Gate: Recommendations prioritized. Budget impact calculated. Sources documented.
Offer drafting sub-mode:
Framework: ASSESS → MODEL → PLAN
Phase 1: ASSESS — Map current organizational state.
| Metric | Healthy Range | Warning Sign | |--------|---------------|--------------| | Span of control | 5-8 direct reports | <3 (too narrow) or >12 (too wide) | | Management layers | 4-6 per 500 people | Excess layers = slow decisions | | IC-to-manager ratio | 6:1 to 10:1 | <4:1 = top-heavy | | Team size | 5-9 people | <4 = fragile, >12 = unmanageable | | Single points of failure | 0 | Any = structural risk |
Gate: Current state mapped. Structural issues identified.
Phase 2: MODEL — Design target state and transition.
Constraint: Never recommend org changes based on individuals ("move Alice because she's difficult") — structure around roles and capabilities (because person-dependent org design creates fragility and masks management problems).
Gate: Target state modeled. Sequencing justified. Budget estimated.
Phase 3: PLAN — Convert to executable hiring roadmap.
Gate: Roadmap executable. Risks mitigated. Success metrics defined.
People analytics sub-mode:
Framework: FIND → EXPLAIN → CAVEAT
Constraint: Answer only from user-provided policy documents. State when no source is available — do not guess (because fabricated policy guidance creates liability).
| Error | Cause | Solution |
|-------|-------|----------|
| No compensation data | User asks "what should we pay" without data | State limitation explicitly. Offer to analyze user-provided data or recommend public sources (Levels.fyi, Glassdoor, Radford). |
| Biased language in output | LLM generates gendered, ageist, or exclusionary phrasing | Run output against references/llm-hr-failure-modes.md bias checklist. Rewrite flagged phrases. |
| Jurisdiction unknown | Legal advice requested without location | Ask for jurisdiction before proceeding. Never default to US employment law. |
| Confidentiality scope unclear | User shares individual comp/performance data | Confirm intended audience. Remind that HR data is need-to-know. Minimize PII in outputs. |
| Template vs. real data confusion | User treats template placeholders as recommendations | Label all templates explicitly: "[PLACEHOLDER — replace with actual data]". |
| Policy not found | User asks about policy with no handbook provided | State clearly: no policy source available. Do not fabricate. Suggest uploading handbook. |
| Reference | When to Load | Content |
|-----------|-------------|---------|
| references/recruiting.md | RECRUITING, INTERVIEW, ONBOARDING modes | Pipeline stages, velocity metrics, interview frameworks, evaluation rubrics, onboarding checklists |
| references/performance-management.md | PERFORMANCE mode | Review structure, calibration methodology, feedback patterns, development planning |
| references/compensation.md | COMPENSATION, OFFER modes | Market benchmarking, internal equity analysis, offer structuring, equity modeling |
| references/org-planning.md | ORG-PLANNING, PEOPLE-ANALYTICS modes | Headcount modeling, org design principles, capacity planning, people analytics |
| references/llm-hr-failure-modes.md | Every mode | Bias detection, fabrication risks, compliance gaps, inappropriate language patterns |
documentation
Document translation: quick/normal/refined modes with chunked parallel subagents and glossary support.
development
AI image generation: Gemini and Nano Banana backends; single/series/batch workflows with prompt-to-disk.
testing
Unified voice content generation pipeline with mandatory validation and joy-check. 13-phase pipeline: LOAD, GROUND, STATS-CHECKPOINT, GENERATE, HOOK-GATE, VALIDATE, REFINE, VARIETY-GATE, JOY-CHECK, ANTI-AI, CLOSE-GATE, OUTPUT, CLEANUP. Use when writing articles, blog posts, or any content that uses a voice profile. Use for "write article", "blog post", "write in voice", "generate content", "draft article", "write about".
documentation
Critique-and-rewrite loop for voice fidelity validation.