Individual skill
llm-cost-latency-budget
Model the cost and latency of an LLM feature before it ships and surprises the bill. Use when asked to estimate LLM API costs, set a latency/token budget, decide which model tier to use, or bring down the cost of an AI feature. Produces a cost & latency budget — token math per request, monthly cost projection, model tiering, caching/streaming levers, p95 latency targets, and a guardrail/alert plan.
plugins/pm-ai/skills/llm-cost-latency-budget/SKILL.md
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- Last checked
- Nov 9, 2026
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# LLM Cost & Latency Budget Skill
LLM features have a unit cost and a tail latency that demos hide and production exposes. This skill does
the token math up front — what one request costs, what a million cost, where the p95 latency comes from —
and lays out the levers (model tiering, caching, prompt trimming) so cost and speed are designed, not discovered.
## Required Inputs
Ask for these only if they aren't already provided:
- **The request shape** — typical system prompt, user input, retrieved context, and output sizes (in rough tokens).
- **Volume** — requests/day now and at target scale; peak concurrency.
- **Models in play** — candidate model(s) and their per-token input/output prices.
- **Targets** — acceptable cost per request (or per user/month) and the latency users will tolerate (p50 / p95).