• Agentforce prompt + action consumption
• Data Cloud monthly usage meters
• Flex Credit scenario planning
• cost optimization recommendations before build or rollout

sf-flex-estimator

• "What will this Agentforce agent cost per month?"
• "Estimate Flex Credits for 5 prompts, 8 actions, and Data Cloud grounding"
• "Compare low / medium / high usage scenarios"
• "How much does Private Connect add?"
• "What Flex Credit savings do we get if we reduce streaming or action count?"

• building Builder metadata, Prompt Builder templates, or action wiring → sf-ai-agentforce
• authoring or fixing

  .agent

  files → sf-ai-agentscript
• implementing Data Cloud connections, streams, DMOs, segments, or activations → sf-datacloud and the phase-specific

  sf-datacloud-*

  skills
• creating test data or operational data imports → sf-data
• deploying metadata or runtime assets → sf-deploy

• agent prompt count by tier:

  starter

  ,

  basic

  ,

  standard

  ,

  advanced

• action count by type:

  standard

  ,

  custom

  ,

  voice

  ,

  sandbox

• whether token overages are expected for prompts or actions
• monthly Data Cloud meter volumes, if Data Cloud is in scope
• whether Private Connect is required
• whether the estimate should model a pilot, small production, enterprise, or multiple scenarios
• whether the user wants public list-price guidance or is trying to reconcile contract-specific commercial numbers

• Flex Credits are priced at $0.004 per FC in this skill.
• Private Connect adds 20% of Data Cloud spend after tiering.
• Agentforce and Data Cloud are estimated separately, then combined.
• Estimates in this skill use publicly documented list pricing only.

• references/agentforce-pricing.md
• references/data-cloud-pricing.md

• assets/templates/basic-agent-template.json
• assets/templates/hybrid-agent-template.json
• assets/templates/data-cloud-template.json

• Low: 1K invocations / month
• Medium: 10K / month
• High: 100K / month
• Enterprise: 500K / month

• too many prompts or actions
• unnecessary streaming usage
• likely token overages
• missing Private Connect handling
• unrealistic volume assumptions

• assets/calculators/flex_calculator.py
• assets/calculators/tier_multiplier.py

• hooks/scripts/validate_estimate.py

This validator is a manual helper. It is intentionally not wired into the shared auto-validation dispatcher because generic

.json

or

.md

file patterns would create too much noise.

• Prefer standard prompts for most production reasoning workloads.
• Use basic prompts only for simple routing/classification.
• Action count often dominates cost faster than prompt count.
• Data Cloud streaming is materially more expensive than prep/query/segment meters.
• Tiering matters only for Data Cloud, not Agentforce.
• Private Connect applies only to Data Cloud spend in this model.
• If the user has contract-specific pricing, treat this skill as a public baseline and note that commercial terms may differ.

1. workload summary
2. per-invocation Agentforce cost
3. monthly scenario table
4. Data Cloud tiering impact
5. top optimization recommendations
6. confidence / validation notes

Flex Credit estimate: <name>
Agentforce per invocation: <fc> FC ($<cost>)
Data Cloud monthly base: <fc> FC
Scenarios: <low / medium / high / enterprise>
Optimization priorities: <1-3 bullets>
Confidence: <high / medium / low>

• README.md
• references/calculation-methodology.md
• references/common-use-cases.md
• references/edge-cases.md

• references/agentforce-pricing.md
• references/data-cloud-pricing.md

• references/scoring-rubric.md
• hooks/scripts/validate_estimate.py