Diagnose Miro API credit demand and implement repository-side traffic controls that preserve freshness, completeness, and user experience.

MITAuto-check passedBackend & APIs

Install Miro Cost Tuning

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill miro-cost-tuning -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace miro-cost-tuning --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/.curated/miro-cost-tuning .claude/skills/miro-cost-tuning && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
miro-cost-tuning
GitHub stars
2.8k
Token cost
~1.1k tokens
SKILL.md length
421 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Diagnose Miro API credit demand and implement repository-side traffic controls that preserve freshness, completeness, and user experience.

  • Works in 6 steps: Attribute calls and credits to tenants,… → Separate required freshness from… → Model options: narrower scope, cursor… → …
  • Right-sizing polling
  • SKILL.md covers Overview, Prerequisites, Tool Discipline and Current Contract, plus 7 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Miro Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. 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".

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/official-docs.md`). Compatibility notes: Designed for Claude Code; live work requires an authorized Miro app and redacted evidence

It sits in Backend & APIs, covering UX design. The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Right-sizing polling
  • Synchronization
  • With reduce Miro API usage

Example prompts

  • “reduce Miro API usage”
  • “/miro-cost-tuning”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code; live work requires an authorized Miro app and redacted evidence
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, WebFetch, Write, Edit

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  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. Test the selected policy against representative change bursts and full-reconciliation recovery.
  6. Roll out with per-tenant fairness and alerts for credits, staleness, backlog, and missed-state indicators.

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep
    • WebFetch
    • Write
    • Edit

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • developers.miro.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

  • Compatibility

    Designed for Claude Code; live work requires an authorized Miro app and redacted evidence

    From compatibility in the SKILL.md frontmatter.

Context cost

Miro Cost Tuning loads about 1.1k tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 421 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 421 words, ~1,051 tokens.

Download SKILL.mdSave it as .claude/skills/miro-cost-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
miro-cost-tuning
description
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".
allowed-tools
Read, Glob, Grep, WebFetch, Write, Edit
compatibility
Designed for Claude Code; live work requires an authorized Miro app and redacted evidence
argument-hint
[workload] [freshness-slo]
version
1.9.0
author
Jeremy Longshore <jeremy@intentsolutions.io>
license
MIT
tags
saas, miro, credits, efficiency
model
inherit
effort
medium

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.

Show full SKILL.md (203 more words)Show less

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. Test the selected policy against representative change bursts and full-reconciliation recovery.
  6. Roll out with per-tenant fairness and alerts for credits, staleness, backlog, and missed-state indicators.

Approval Boundaries

Do not represent credits as direct monetary savings or weaken contractual freshness/completeness without product and service-owner approval. Pause when the responsible owner or exact target is uncertain.

Output

Return baseline credits, waste sources, options, selected policy, expected reduction, SLO tradeoffs, test results, and rollback threshold. State what was not inspected or changed so the receipt cannot overclaim coverage.

Error Handling

ConditionResponse
No operation-level telemetryInstrument before claiming savings.
Savings depend on retired webhooksReject that option.
Cache invalidation is unprovedLimit cache scope/TTL and retain reconciliation.
One tenant monopolizes budgetEnforce per-tenant queues and priority reserves.

Examples

The example is a redacted operator receipt; identifiers are hashes or bounded labels, not board content or credentials.

text
baseline=74000cr/min; duplicates=18%; selected=cursor+dedupe; forecast=51000cr/min; freshness=5m; completeness=daily-reconcile

Resources

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in skills/.curated/miro-cost-tuning of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • references/official-docs.md

Open the folder on GitHubat commit cfae287

Compare with similar skills

Miro Cost Tuning next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Miro Cost Tuning compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Miro Cost Tuning this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1.1kAutomated safety check: PassMIT
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Migrate Content Iadocker/docs4.7k—~5.1kAutomated safety check: PassApache-2.0
UX WalkthroughXiaoMi/hiui879—~1.3kAutomated safety check: PassMIT

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Questions about Miro Cost Tuning

What does Miro Cost Tuning do?

Diagnose Miro API credit demand and implement repository-side traffic controls that preserve freshness, completeness, and user experience. Miro Cost Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Diagnose Miro API credit demand and implement repository-side traffic controls that preserve freshness, completeness, and user experience.

When should I use Miro Cost Tuning?

Miro Cost Tuning fits situations like: right-sizing polling; synchronization; with reduce Miro API usage.

How do I install Miro Cost Tuning in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill miro-cost-tuning -a claude-code`. Or copy the skill folder (skills/.curated/miro-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/miro-cost-tuning in your project. Claude Code loads it when a task matches its description.

How do I install Miro Cost Tuning in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill miro-cost-tuning -a codex`. Or copy the skill folder (skills/.curated/miro-cost-tuning in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/miro-cost-tuning in your project. Codex loads it when a task matches its description.

Can I use Miro Cost Tuning in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill miro-cost-tuning -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/miro-cost-tuning, .gemini/skills/miro-cost-tuning, .github/skills/miro-cost-tuning and .opencode/skills/miro-cost-tuning in your project.

What does Miro Cost Tuning need to run?

SKILL.md names no scripts, command-line tools or credentials: Miro Cost Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, WebFetch, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; live work requires an authorized Miro app and redacted evidence.

Does Miro Cost Tuning access the network?

SKILL.md names 1 domain. As links in the text: developers.miro.com. This is read from the text; nothing was executed.

Is Miro Cost Tuning safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Miro Cost Tuning use?

Miro Cost Tuning is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Miro Cost Tuning use?

About 1.1k tokens (SKILL.md is roughly 4.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 240 tokens, read only when the agent opens those files.

What are the alternatives to Miro Cost Tuning?

Skills that share tags, products or a category with Miro Cost Tuning: Impeccable (bestofjs/bestofjs, 3.1k stars), Interface Design for Dashboards and Apps (holaboss-ai/holaOS, 11k stars), Animate (growupanand/ConvoForm, 102 stars) and Migrate Content Ia (docker/docs, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Miro Cost Tuning?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.