--- name: miro-performance-tuning-6e6b92bdffb5 description: "Diagnose supplied Miro latency and credit evidence, then implement repository-side read/write controls for cursor behavior, bulk semantics, throughput, and freshness. Use when improving Miro throughput or freshness. Trigger with \"miro integration performance tuning\"." argument-hint: "[operation] [target-slo]" allowed-tools: Read, Glob, Grep, WebFetch, Write, Edit version: 1.9.0 author: Jeremy Longshore license: MIT tags: - saas - miro - performance - pagination model: inherit effort: medium compatibility: Designed for Claude Code; live work requires an authorized Miro app and redacted evidence --- # Miro Integration Performance Tuning ## Overview Optimize credits, latency, payload, or reconciliation time without sacrificing correctness or tenant fairness; use the evidence produced here to make the next decision explicit and reviewable. ## Prerequisites - Approved Miro application, tenant, and board scope - Current repository and deployment evidence - Named owner, success criteria, and rollback or recovery boundary ## 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 - Calls consume endpoint-specific credits under a shared user/application budget. - Cursor presence, not guessed page fullness, controls collection continuation. - Bulk create supports at most twenty items and charges Level 2 credits per item. - Board searches without team/project filters may have indexing delay. ## 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. Measure latency, pages, items, bytes, credits, errors, and queue age by operation. 2. Find redundant reads, unbounded traversal, duplicate callers, and reconciliation hot spots. 3. Apply narrow filters, checkpoints, deduplication, bounded concurrency, and explicit cache freshness. 4. Use bulk create only when transactional and per-item credit semantics fit. 5. Load-test synthetic data under a fixed credit budget and verify tenant fairness. 6. Canary one change and retain rollback thresholds for latency, drift, errors, and credits. ## Approval Boundaries Do not relax reconciliation, increase concurrency, or cache board content without service and data-owner approval. Pause when the responsible owner or exact target is uncertain. ## Output Return scope, observed contract, proposed or completed actions, verification evidence, approvals, residual risks, and next owner. State what was not inspected or changed so the receipt cannot overclaim coverage. ## Error Handling | Condition | Response | |---|---| | Tenant or board context mismatches | Stop before mutation and quarantine the credential mapping. | | Current docs contradict the implementation | Treat the official current contract as a blocker and design an explicit migration. | | A mutation result is ambiguous | Reconcile state before retrying. | | Required evidence is unavailable | Return a blocked decision with the smallest safe next probe. | ## Examples The example is a redacted operator receipt; identifiers are hashes or bounded labels, not board content or credentials. ```text operation=get-items; p95=2.8s->1.1s; credits=-31%; drift=0; fairness=passed ``` ## Resources - [Skill-specific official documentation](references/official-docs.md) - [Rate limits](https://developers.miro.com/reference/rate-limiting) - [Bulk create](https://developers.miro.com/reference/create-items) --- Source attribution: jeremylongshore Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/saas-packs/miro-pack/skills/miro-performance-tuning/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2025 Jeremy Longshore Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: jeremylongshore Original project: https://github.com/jeremylongshore/claude-code-plugins-plus-skills/blob/ab85a061f7bcc039dac13ee193de7a4cd4388571/plugins/saas-packs/miro-pack/skills/miro-performance-tuning/SKILL.md Attribution basis: Source repository record Fields of work: Development & Engineering Roles: Backend Developer, Data Engineer, DevOps / SRE Specialties: API, Backend Tools: Miro, Redis Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: eee22386fa09f853363b58bdf82a188a678381ae3ab15a943f7df7b3b92cc95f