daemon-blockint-tech/agentic-enteprises-skill

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 custom…

First seen May 20, 2026

Installation

$ npx skills add daemon-blockint-tech/agentic-enteprises-skill --skill product-management-human-data-platform

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Not declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 8
Default branch main
Open issues 0
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 4,453 B
  • docs SUMMARY.md 1,064 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 32 installs

SKILL.md

Product Management — Human Data Platform

When to Use

  • Define vision, roadmap, and prioritization for labeling, RLHF, or human-eval products
  • Write PRDs for annotation UI, project setup, QA, workforce, or export/API features
  • Design annotation tasks (taxonomy, instructions, rubrics, edge cases)
  • Specify quality programs: gold tasks, consensus, adjudication, rejection reasons
  • Scope customer workflows (ML teams): projects, batches, SLAs, delivery formats
  • Improve contributor/annotator productivity, fairness, and trust/safety product surfaces
  • Set metrics: throughput, quality, cost per label, time-to-delivery, contributor retention
  • Partner on privacy and ethics requirements for human-submitted data (PII, consent, locale)

When NOT to Use

  • Facilitate generic process maps and BRDs without product ownership → business-analyst
  • Wireframes and visual design only → product-designer
  • RAG/copilot enterprise architecture → applied-ai-architect-commercial-enterprise
  • Build eval harnesses and judges in code → prompt-engineer-agent-prompts-evals
  • SOC/ISO evidence automation → compliance-engineer
  • Data warehouse modeling → data-warehouse-engineer
  • Cross-team delivery RAID without product discovery → technical-program-manager

Related skills

Need Skill
BRD/user story format business-analyst
Annotator and customer UX product-designer
How labels feed model programs applied-ai-architect-commercial-enterprise
Golden sets and regression evals prompt-engineer-agent-prompts-evals
Privacy controls and audit evidence compliance-engineer
Taxonomy/ontology for labels ontology-engineer
Analytics for product teams analytics-data-engineering-manager-product

Core Workflows

1. Vision, roadmap, and prioritization

Outcomes, segments, themes, RICE/ICE.

See references/roadmap_prioritization.md.

2. Annotation task and taxonomy design

Instructions, rubrics, schema, edge cases.

See references/annotationtaskdesign.md.

3. Quality systems

Gold sets, IAA, adjudication, rejection taxonomy.

See references/quality_systems.md.

4. Customer (ML team) delivery

Projects, pipelines, exports, SLAs.

See references/customermlworkflows.md.

5. Contributor and workforce product

Task UX, payments, trust, locale.

See references/contributorworkforceproduct.md.

6. Privacy, ethics, and policy

PII, consent, retention, labor.

See references/privacyethicspolicy.md.

Output standards

  • PRDs state persona, problem, success metrics, non-goals, and launch tier
  • Task specs include worked examples (gold, borderline, reject)
  • Quality bar defined as measurable thresholds, not "high quality"
  • Every feature maps to cost, quality, or speed lever
  • Escalate legal/labor questions; do not ship policy in product copy alone

When to load references

  • Roadmapreferences/roadmap_prioritization.md
  • Tasksreferences/annotationtaskdesign.md
  • Qualityreferences/quality_systems.md
  • Customersreferences/customermlworkflows.md
  • Contributorsreferences/contributorworkforceproduct.md
  • Privacyreferences/privacyethicspolicy.md