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Agent skill

Canva Performance Tuning

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Optimize Canva Connect latency and throughput from measured application evidence.

MITAuto-check passedBackend & APIs

Install Canva Performance Tuning

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

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace canva-performance-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/canva-performance-tuning .claude/skills/canva-performance-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
canva-performance-tuning
GitHub stars
2.8k
Token cost
~999 tokens
SKILL.md length
396 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Optimize Canva Connect latency and throughput from measured application evidence.

  • Works in 6 steps: Establish a baseline → Identify the bottleneck → Design one experiment → …
  • Tuning metadata caches
  • SKILL.md covers Overview, Prerequisites, Instructions and Authentication, plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Canva Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Canva Connect latency and throughput from measured application evidence. Use when tuning metadata caches, pagination, connection reuse, async-job polling, or endpoint concurrency under explicit freshness and safety budgets. Trigger with: "speed up Canva", "tune Canva polling", "optimize Canva performance".

Its SKILL.md is about 1000 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: Requires a protected benchmark workload, current endpoint contract, and approved latency, freshness, data, and rollback budgets.

It sits in Backend & APIs. It works with Canva. 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

  • Tuning metadata caches
  • Connection reuse
  • Async-job polling
  • Endpoint concurrency under explicit freshness and safety budgets

Example prompts

  • “speed up Canva”
  • “tune Canva polling”
  • “optimize Canva performance”
  • “/canva-performance-tuning”

Requirements

  • Compatibility (from SKILL.md): Requires a protected benchmark workload, current endpoint contract, and approved latency, freshness, data, and rollback budgets.
  • Pre-approved tools (allowed-tools): Read, Grep, Write, Edit

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Establish a baseline
  2. Identify the bottleneck
  3. Design one experiment
  4. Protect caches
  5. Tune asynchronous polling
  6. Validate and roll out

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
    • Grep
    • 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):

    • canva.dev

    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

    Requires a protected benchmark workload, current endpoint contract, and approved latency, freshness, data, and rollback budgets.

    From compatibility in the SKILL.md frontmatter.

Context cost

Canva Performance Tuning loads about 999 tokens when it runs, and up to ~1.1k if it reads all its reference files. Until then it costs about 85 tokens; SKILL.md has 396 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~999
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.1k

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). 396 words, ~999 tokens.

Download SKILL.mdSave it as .claude/skills/canva-performance-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
canva-performance-tuning
description
Optimize Canva Connect latency and throughput from measured application evidence. Use when tuning metadata caches, pagination, connection reuse, async-job polling, or endpoint concurrency under explicit freshness and safety budgets. Trigger with: "speed up Canva", "tune Canva polling", "optimize Canva performance".
allowed-tools
Read, Grep, Write, Edit
compatibility
Requires a protected benchmark workload, current endpoint contract, and approved latency, freshness, data, and rollback budgets.
version
2.0.0
argument-hint
[endpoint-and-baseline-window]
model
inherit
effort
high
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, canva, performance, operations

Canva Measured Performance Tuning

Overview

Change one controlled variable at a time and compare logical-operation outcomes, not just raw request latency. Never cache credentials or assume fixed Canva URL lifetimes and performance guarantees.

Prerequisites

  • Baseline window, normalized endpoint, workload, and local SLO
  • Current OpenAPI/response contract and endpoint rate metadata
  • Cache data class, freshness/invalidation policy, feature flag, and rollback

Instructions

Step 1: Establish a baseline

Use Read and Grep to measure logical operations, provider calls, latency distribution, job completion, retries, cache hits, errors, and queue depth with synthetic or approved data.

Step 2: Identify the bottleneck

Separate network/connection latency, unnecessary fields, pagination, duplicate reads, write retries, polling cadence, token locks, worker capacity, and local storage.

Step 3: Design one experiment

Use Write or Edit to change one cache, pagination, connection, queue, or poll control behind a feature flag with explicit success and rollback thresholds.

Step 4: Protect caches

Cache only approved metadata, key by authorization boundary, encrypt where policy requires, and invalidate on writes, consent/ownership changes, or freshness expiry.

Step 5: Tune asynchronous polling

Persist job ID, begin with a short local interval, apply bounded exponential backoff, and stop at the application budget while reconciliation continues asynchronously.

Step 6: Validate and roll out

Compare correctness, freshness, duplicate prevention, resource use, and latency. Roll back on stale authorization, missed completion, increased errors, or throttling.

Show full SKILL.md (174 more words)Show less

Authentication

Canva Connect calls use Bearer access tokens obtained by a backend through OAuth 2.0 Authorization Code with SHA-256 PKCE. Request explicit least-privilege scopes, keep client secrets and tokens out of browser-visible state, and serialize refresh so the replacement single-use refresh token is stored atomically.

Tool Discipline

Use Read and Grep for discovery and evidence. Use Write or Edit only for the approved artifact, code, configuration, test, or receipt described by this workflow; do not make an unapproved Canva-side change.

Output

  • Scoped decision or implementation artifact
  • Redacted operation and validation receipt
  • Failure, rollback, and follow-up ownership record

Examples

A service reduces design-list calls with a tenant- and user-authorized metadata cache. The experiment proves freshness and invalidation before rollout and never stores thumbnail or export URLs durably.

Error Handling

FailureResponse
No baseline existsInstrument before optimizing
Cache serves stale authorizationDisable it and fix ownership/consent invalidation
Polling increases 429sLower scoped concurrency and widen bounded intervals
Latency improves but correctness regressesRoll back the experiment

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/canva-performance-tuning of jeremylongshore/tons-of-skills-marketplace.

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

Open the folder on GitHubat commit cfae287

Compare with similar skills

Canva Performance 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.

Canva Performance Tuning compared with similar skills
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CanvaNeverSight/learn-skills.dev2171 repos~1.1kAutomated safety check: PassNone
Nestjs Best Practicesrolling-scopes/rsschool-app10k6 repos~1.2kAutomated safety check: PassMIT
ToolJet Marketplace Plugin BuilderToolJet/ToolJet41k—~2.1kAutomated safety check: PassAGPL-3.0
Payloadpayloadcms/payload45k5 repos~6.2kAutomated safety check: PassMIT
Infer Conventionsanonaddy/anonaddy4.9k5 repos~3.1kAutomated safety check: PassMIT

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Works with

Categories

Questions about Canva Performance Tuning

What does Canva Performance Tuning do?

Optimize Canva Connect latency and throughput from measured application evidence. Canva Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Optimize Canva Connect latency and throughput from measured application evidence.

When should I use Canva Performance Tuning?

Canva Performance Tuning fits situations like: tuning metadata caches; connection reuse; async-job polling; endpoint concurrency under explicit freshness and safety budgets.

How do I install Canva Performance Tuning in Claude Code?

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

How do I install Canva Performance Tuning in Codex?

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

Can I use Canva Performance 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 canva-performance-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/canva-performance-tuning, .gemini/skills/canva-performance-tuning, .github/skills/canva-performance-tuning and .opencode/skills/canva-performance-tuning in your project.

What does Canva Performance Tuning need to run?

SKILL.md names no scripts, command-line tools or credentials: Canva Performance Tuning is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Grep, Write, Edit. Compatibility (from SKILL.md): Requires a protected benchmark workload, current endpoint contract, and approved latency, freshness, data, and rollback budgets..

Does Canva Performance Tuning access the network?

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

Is Canva Performance 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 Canva Performance Tuning use?

Canva Performance 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 Canva Performance Tuning use?

About 999 tokens (SKILL.md is roughly 4k 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 134 tokens, read only when the agent opens those files.

What are the alternatives to Canva Performance Tuning?

Skills that share tags, products or a category with Canva Performance Tuning: Canva (NeverSight/learn-skills.dev, 217 stars), Nestjs Best Practices (rolling-scopes/rsschool-app, 10k stars), ToolJet Marketplace Plugin Builder (ToolJet/ToolJet, 41k stars) and Payload (payloadcms/payload, 45k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Canva Performance 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.