Prompt Cards

Propose an open data strategy that helps communities achieve {{SDG_targets}}. Define datasets, licensing, APIs, privacy checks, and community engagement. Add a governance model and sustainability plan.

For {{hardware_fleet}} propose lifetime extension tactics: BIOS settings, thermal limits, parts harvesting, donor units, and resale/refurb channels. Add a dashboard for device age, failures, and recovery rate.

Propose a data tiering strategy: hot/warm/cold/archive for {{data_types}}. Policies: TTLs, compaction, dedupe, compression, and green-region replication. Define SLOs and a deletion automation spec.

Design micro-interventions for {{ICP}} that improve daily health without nagging. Deliver 20 interventions mapped to moments (work, commute, evening), opt-in, and privacy notes. Add measurement and habit formation tactics.

Create a high-level compliance map for sustainability + health in {{industry}}. Identify obligations, voluntary standards, and data residency issues. Provide a risk register and an internal policy index.

Craft messaging for {{product_concept}} that is specific, measurable, and non-misleading. Provide claim wording, proof artifacts, disclaimers, and a review workflow. Add JP/EN variants and a content calendar centered on impact, not hype.

Update SRE program for climate risks. Scenarios: heat, floods, wildfires, outages. Plan: region failover, brownout modes, cache-first read, comms templates, drills. Add recovery time targets and user safety messaging.

If offsetting is used as a last resort, draft guardrails. Prioritize emissions cuts, then high-integrity removals. Define claims policy (no greenwashing), verification cadence, and a public transparency page outline.

Audit {{flow}} for accessibility and wellness. Propose improvements in typography, contrast, motion, haptics, and break reminders. Provide success criteria and QA checklist.

For {{city_or_region}} design app features that reduce heat risk: shade routing, cool roofs map, hydration reminders, and social check-ins. Add a comms plan for heat waves and metrics for avoided risk.

Optimize on-device inference for {{model}} on {{chipset}}. Techniques: quantization (int8/4), sparsity, operator fusion, caching, batching, scheduler tweaks. Report latency/energy tradeoffs and a rollout plan for older devices.

For {{model_family}} training on {{hardware}}: - Estimate energy/emissions baseline - Apply: low-rank adapters, distillation, AMP, token pruning, data curation - Carbon-aware job placement Provide a table of expected savings and quality checks.