product-management-human-data-platform

Guides product management for human data platforms—annotation and labeling products, workforce workflows, task design, quality systems (gold sets, adjudication, inter-annotator agreement), customer ML-team project delivery, contributor experience, and privacy-safe handling of human-generated training data. Use when prioritizing roadmap for labeling/RLHF/eval data platforms, writing PRDs for annotation or QA features, defining success metrics for throughput and quality, scoping enterprise customer workflows, or balancing cost-quality-speed tradeoffs—not for hands-on model training (data-scientist), warehouse/analytics pipelines (data-warehouse-engineer), generic BRD workshops without product lens (business-analyst), AI solution architecture for copilots (applied-ai-architect-commercial-enterprise), or control implementation for audits (compliance-engineer). UX flows: product-designer. Eval harnesses: prompt-engineer-agent-prompts-evals. Pricing/packaging for platform: product-management-monetization.

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Repository: daemon-blockint-tech/Agentic-Enteprises-Skill
Last source activity: May 19, 2026 at 22:55
Detected SKILL.md language: English
Stars: 7
Forks: 1

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ab-testing-engineer

Guides experimentation engineering for A/B and multivariate tests—hypothesis framing, primary/secondary/guardrail metrics, design (A/B, A/B/n, MVT), sample size and power, duration and seasonality, allocation and randomization units, SRM checks, instrumentation, analysis plans (frequentist and Bayesian workflow level), stopping rules, readouts, rollout/kill decisions, and experiment registry hygiene (sound statistical practice only). Use for "A/B test", "A/B testing engineer", "experiment design", "sample size calculator", "statistical significance", "power analysis", "split test", "experiment readout", "guardrail metrics", "SRM", "randomization unit", "experiment duration", "multivariate test", "holdout", or "experiment analysis". Not for analytics stack build (analytics-data-engineer), marketing copy (cmo-advisor), roadmap-only (cpo-advisor), ML model experiments (ml-research-engineer-safeguards), or privacy/legal review (compliance-engineer).

2026-05-20

actuarial-analyst

Guides hands-on actuarial analyst work for insurance, reinsurance, and pension—reserving and loss development (IBNR, triangles, chain-ladder diagnostics), pricing and rate indication support (experience, trend, credibility, basic GLM at spec level), data validation and model I/O review, reporting packs and workpapers, assumption application under actuary direction, and statutory tie-outs at analyst depth. Use when the user mentions actuarial analyst, loss development, IBNR, reserve analysis, rate indication, pricing support, actuarial workpaper, triangle analysis, credibility, experience study, actuarial reporting, or reserve roll-forward—not actuary sign-off (actuary), consulting engagements (actuarial-consulting), assumption governance (assumption-setting), ALM strategy (asset-liability-management), P&C legal depth (property-casualty-insurance), charts only (data-visualization), or ETL-only pipelines (data-scrubbing).

2026-05-20

actuarial-consulting

Guides actuarial consulting engagements—client scoping and SOW design, stakeholder communication (CFO, risk, boards, regulators at overview level), due diligence and M&A actuarial support, reserving/pricing/capital review programs, model validation and opinion support, regulatory interaction prep, and deliverable governance (memos, exhibits, management presentations). Use when the user mentions actuarial consulting, actuarial engagement, reserve opinion, due diligence actuarial, model validation engagement, actuarial memo, SOW actuarial, regulatory actuarial, M&A reserves, or actuarial review—not deep technical modeling execution (actuary), P&C line education only (property-casualty-insurance), legal advice (commercial-counsel), or generic management consulting without actuarial lens (business-consultant).

2026-05-20

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product-management-human-data-platform

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