Agent skill · marketing growth · jeremylongshore
miro-cost-tuning
Diagnose Miro API credit demand and implement repository-side traffic controls that preserve freshness, completeness, and user experience. Use when right-sizing polling or synchronization. Trigger with \"reduce Miro API usage\".
Why this skill is useful
Provides specific strategies and executable code for optimizing Miro API costs that the AI wouldn't reliably generate on its own.
What it needs
Requires miro account access. About 2k tokens when loaded. Last updated 2026-08-07. 2,604 stars on the source repository.
What this skill does
Miro Credit-Efficiency Planning Overview Treat API credits as capacity, not currency. Attribute demand by operation and caller, then remove waste without inventing a dollar price; use the evidence produced here to make the next decision explicit and reviewable. Prerequisites Request and rate-header telemetry by operation Documented endpoint credit levels Freshness, completeness, and priority requirements Tool Discipline Use Read, Glob, and Grep to inspect the repository, configuration names, adapters, tests, and evidence. Use WebFetch only for current official Miro documentation. Use Write or Edit after confirming the requested mode, target environment, tenant, board, and approval boundary. These declared tools do not call authenticated Miro APIs or deployment CLIs; implement client, configuration, and test changes, then return exact operator commands or an approval-gated handoff for live execution. Current Contract Miro documents credits and request capacity, not a per-credit billing price. REST levels currently cost 50, 100, 500, or 2,000 credits per call. Bulk creation remains charged Level 2 per item, so batching reduces round trips but not necessarily credit total. Retired REST webhooks are not an available zero-polling substitute. Authentication For REST work, use OAuth 2.0 Authorization Code with the narrowest Miro scopes. Bind each encrypted token record to its user, application, authorized team, and granted scopes. Never print access tokens, refresh tokens, client secrets, authorization codes, or board content. Instructions 1. Attribute calls and credits to tenants, features, endpoints, schedules, retries, and operators. 2. Separate required freshness from inherited polling frequency and duplicate consumers. 3. Model options: narrower scope, cursor checkpoints, deduplication, cache, coalescing, or reduced cadence. 4. Estimate credit reduction and quantify freshness, completeness, memory, and operational tradeoffs. 5. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills jeremylongshore/miro-cost-tuning