| name | mission-frontier-ai-production |
| description | Strategic mission (cross-cutting national capability): **Frontier AI Production** — Create AI systems that are capable, reliable, secure, useful, economically productive, and governable. Unlike the sector operating systems, a mission composes several of them toward one strategic objective. Use this skill to plan or coordinate this mission end-to-end; trigger whenever work concerns frontier ai production, even if the user only names a piece of it. |
Strategic Mission — Frontier AI Production
Layer: Strategic mission (cross-cutting capability that composes multiple operating systems)
Shared concepts: ../../00-framework/SKILL.md · Imported/adapted from the Agentic-Workforce operating models
Purpose
Define the work system for building, evaluating, deploying, governing, and improving frontier AI models and AI-native products.
Mission
Create AI systems that are capable, reliable, secure, useful, economically productive, and governable.
Operating systems this mission composes
A strategic mission is an orthogonal axis to the sectors: it pulls roles and capabilities from several of them toward one objective. This mission primarily draws on:
- 12. Communications, Software, Cybersecurity, and Digital Infrastructure
- 15. Science, Research, Standards, and Innovation
- 07. Energy, Utilities, and Grid Operations
- 08. Mining, Materials, Chemicals, and Industrial Inputs
- 20. Labor, Workforce Systems, and Organizational Life
Deploy the relevant sector and role skills under those operating systems as the building blocks; this skill coordinates them toward the mission.
Core capabilities
- Data planning and lineage.
- Architecture and training.
- Evaluation and benchmarking.
- Red-teaming and safety.
- ML platform and inference.
- Model and supply-chain security.
- Governance, risk tiering, and approval gates.
- Product fit and adoption.
Human command roles
- AI lab lead.
- Model training lead.
- Model evaluation lead.
- AI governance lead.
- AI product lead.
- ML platform lead.
- Security lead.
- Data steward.
These hold accountability for the mission. Strategic prioritization, public legitimacy, security, and ethical tradeoffs stay human-owned.
AI personnel
- Literature/research agent.
- Experiment planning agent.
- Data curation agent.
- Synthetic data agent.
- Training run monitor.
- Evaluation agent.
- Red-team agent.
- Documentation/model-card agent.
- Incident analysis agent.
Many of these map to existing role skills in the composed operating systems (e.g. _catalogs/ai-personnel/ and the sectors' roles/). Reuse them rather than rebuilding.
Robot / machine personnel
- Data center inspection robot.
- Hardware logistics robot.
- Lab robot for embodied-AI testing.
See _catalogs/humanoid-robots/, _catalogs/autonomous-machines/, and the sectors' robots/ and autonomous/ folders.
Operating loop
- Define model mission, users, prohibited uses, risk tier.
- Build a data plan (provenance, rights, privacy, contamination controls).
- Select architecture, training strategy, compute, eval gates.
- Run versioned experiments.
- Evaluate capability, safety, robustness, bias, cost.
- Red-team before release.
- Stage deployment with monitoring and rollback.
- Analyze incidents and economics.
- Retrain, fine-tune, or deprecate on evidence.
Human accountability boundary
Strategic prioritization, public legitimacy, national-security judgment, scarce-resource allocation, export-control and safety decisions, and final signoff on irreversible commitments remain human-accountable. AI personnel and robots accelerate the work up to that line.
How to use this skill
- Read the mission and the operating systems it composes.
- Pull the specific sector and role skills you need from those OSs.
- Run the operating loop, coordinating across sectors at the seams.
- Apply the command & cadence model (
00-framework/) and stop at the accountability boundary.
Adapting to any nation (context modifiers)
Whether a nation pursues this mission at all — and how (sovereign build, ally-and-buy, or import) — depends heavily on scale, income, resource endowment, and geopolitics. Re-read through:
- Scale (city-state → federation): whether this role is unified or layered across local/regional/national tiers.
- State capacity (fragile → high-capacity): whether the owning institution exists and can be held to account, or the job is met by markets, households, NGOs, or donors.
- Income level (low → high): affordability of automation and the balance of subsistence vs. wage work.
- Formality (informal → formal): whether the people and assets this role acts on appear in any registry at all.
- Resource & geography: which hazards and dependencies dominate (water-scarce, flood-prone, landlocked, trade-dependent).
- Political system & legitimacy: where the human-accountability boundary actually binds and who may hold power to account.
