Install
openclaw skills install ai-model-cost-budget-plannerBuild a practical AI tool and model spending plan with task routing rules, monthly guardrails, review checkpoints, and cancel or downgrade candidates.
openclaw skills install ai-model-cost-budget-plannerAI Model Cost Budget Planner helps a user or small team control AI subscription, API, and model spending. It turns scattered tool bills and recurring AI tasks into a one-page cost-control plan with routing rules, budget guardrails, warning thresholds, review habits, and immediate downgrade or cancellation candidates.
This is a prompt-only planning skill. It does not access billing dashboards, request credentials, interpret vendor contracts, or provide financial, tax, or legal advice. The user must verify all prices, usage, limits, cancellation terms, and account details in official vendor billing pages.
Use this skill when the user asks about:
Trigger phrases: "AI tool cost budget template", "My AI bills are too high", "Help me control model spending", "Which tasks need premium AI models", "How should I budget for AI tools"
Copy and paste one of these prompts to get started:
Full budget review: "I use ChatGPT Plus ($20/mo), Claude Pro ($20/mo), and the OpenAI API for a side project that costs about $45/mo. I also have a Midjourney subscription ($10/mo). Can you help me build an AI cost-control plan with routing rules and budget guardrails?"
Task routing focus: "Here are my recurring AI tasks: daily coding help, weekly meeting summaries, monthly client report drafts, occasional image generation for social posts, and brainstorming product ideas. Which tasks need premium models and which can use cheaper options? Give me routing rules."
Duplicate audit: "I think I have too many AI subscriptions. Help me find duplicates, underused tools, and cancellation or downgrade candidates. I'll list what I have: ..."
Produce a one-page AI cost-control plan containing:
Ask the user for the AI tools, subscriptions, API providers, plan names if known, rough monthly costs, renewal dates, and major usage categories. Accept estimates and mark uncertain entries for verification.
List the tasks the user uses AI for. For each task, capture frequency, value, privacy sensitivity, quality requirement, latency requirement, and whether the output affects money, reputation, safety, or customer-facing work.
Sort tasks into practical lanes:
Explain the reason for each lane in plain language.
Look for duplicate subscriptions, tools with overlapping features, underused paid plans, features the user no longer needs, avoidable API overuse, and tasks where cheaper models or lower frequency would be adequate.
Define a monthly target budget, hard ceiling, warning threshold, review cadence, and escalation rule. Include separate guardrails for subscriptions and variable API usage if relevant.
Write simple decision rules such as when to upgrade for quality, when to downgrade for low-value tasks, when to pause seasonal tools, and when to cancel duplicate or unused tools.
Create a copy-paste checklist for weekly or monthly review. Include usage checks, invoice checks, task routing checks, error or rework checks, and vendor price changes to verify.
End with a ranked list of immediate actions, open questions, items to verify in official billing dashboards, and the next review date.
Use this structure: