New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Adobe Load Scale

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

Derive a safe Adobe workload envelope from synthetic load, queue/backpressure behavior, current service constraints, spend, and output correctness.

MITAuto-check passedTesting & QA

Install Adobe Load Scale

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill adobe-load-scale -a claude-code

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

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace adobe-load-scale --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/adobe-load-scale .claude/skills/adobe-load-scale && 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
adobe-load-scale
GitHub stars
2.8k
Token cost
~1k tokens
SKILL.md length
418 words
Files
2 (incl. references)
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Derive a safe Adobe workload envelope from synthetic load, queue/backpressure behavior, current service constraints, spend, and output correctness.

  • Works in 6 steps: Define workload shape, target volume,… → Read current product constraints and… → Build an open/closed load model that… → …
  • The task requires adobe capacity and load envelope
  • SKILL.md covers Overview, Prerequisites, Current Contract and Authentication, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Adobe Load Scale is an agent skill from jeremylongshore/tons-of-skills-marketplace. Derive a safe Adobe workload envelope from synthetic load, queue/backpressure behavior, current service constraints, spend, and output correctness. Use when the task requires adobe capacity and load envelope. Trigger with "load test Adobe", "scale Firefly jobs", or "Adobe capacity plan".

Its SKILL.md is about 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 Adobe actions require network access, appropriate entitlement and authentication, and explicit approval

It sits in Testing & QA, covering Load testing. 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

  • The task requires adobe capacity and load envelope
  • With load test Adobe
  • Scale Firefly jobs
  • Adobe capacity plan

Example prompts

  • “load test Adobe”
  • “scale Firefly jobs”
  • “Adobe capacity plan”
  • “/adobe-load-scale”

Requirements

  • Compatibility (from SKILL.md): Designed for Claude Code; live Adobe actions require network access, appropriate entitlement and authentication, and explicit approval
  • Pre-approved tools (allowed-tools): Read, Glob, Grep, Write, Edit

Workflow steps

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

  1. Define workload shape, target volume, objectives, data/output checks, budget, ramp, abort thresholds, and cleanup.
  2. Read current product constraints and measure a single-job baseline across all lifecycle stages.
  3. Build an open/closed load model that drives the queue, not direct uncontrolled vendor floods.
  4. Ramp one dimension at a time while recording concurrency, latency, 429s, failures, completions, spend, and artifacts.
  5. Exercise backpressure, cancellation, unknown completion, vendor degradation, worker restart, and DLQ recovery.
  6. Publish the conservative envelope, autoscaling/queue controls, emergency stop, capacity owner, and retest date.

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
    • 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

    No URLs in SKILL.md.

    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 Adobe actions require network access, appropriate entitlement and authentication, and explicit approval

    From compatibility in the SKILL.md frontmatter.

Context cost

Adobe Load Scale loads about 1k tokens when it runs, and up to ~1.8k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 418 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~1k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.8k

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). 418 words, ~1,035 tokens.

Download SKILL.mdSave it as .claude/skills/adobe-load-scale/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
adobe-load-scale
description
Derive a safe Adobe workload envelope from synthetic load, queue/backpressure behavior, current service constraints, spend, and output correctness. Use when the task requires adobe capacity and load envelope. Trigger with "load test Adobe", "scale Firefly jobs", or "Adobe capacity plan".
allowed-tools
Read, Glob, Grep, Write, Edit
compatibility
Designed for Claude Code; live Adobe actions require network access, appropriate entitlement and authentication, and explicit approval
argument-hint
<workload> <target-volume> <sandbox>
version
1.8.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, adobe, capacity
model
inherit
effort
high

Adobe Capacity and Load Envelope

Overview

Derive a safe Adobe workload envelope from synthetic load, queue/backpressure behavior, current service constraints, spend, and output correctness. This workflow produces a reviewable artifact and evidence before any live side effect.

Prerequisites

  • Current first-party Adobe documentation for every selected service, API version, auth flow, limit, and lifecycle.
  • Named product, identity, security, data, budget, release, and operations owners appropriate to the scope.
  • Synthetic or approved non-production fixtures with secret and content canaries.

Current Contract

Capacity is service-, operation-, entitlement-, and contract-specific. Measure arrival rate, queue age, concurrency, vendor time, 429/5xx, retries, terminal completion, storage transfer, cost units, and correctness. Do not publish guessed universal throughput. Recheck the dated evidence map before relying on mutable product behavior.

Authentication

Use dedicated sandbox credentials, synthetic non-sensitive inputs, environment assertions, and a hard kill switch. Credential sharding to evade limits is forbidden.

Instructions

  1. Define workload shape, target volume, objectives, data/output checks, budget, ramp, abort thresholds, and cleanup.
  2. Read current product constraints and measure a single-job baseline across all lifecycle stages.
  3. Build an open/closed load model that drives the queue, not direct uncontrolled vendor floods.
  4. Ramp one dimension at a time while recording concurrency, latency, 429s, failures, completions, spend, and artifacts.
  5. Exercise backpressure, cancellation, unknown completion, vendor degradation, worker restart, and DLQ recovery.
  6. Publish the conservative envelope, autoscaling/queue controls, emergency stop, capacity owner, and retest date.
Show full SKILL.md (186 more words)Show less

Tool Discipline

Use Read, Glob, and Grep to inspect current documentation, configuration, code, fixtures, and evidence. Use Write and Edit only for approved repository artifacts. Skill invocation alone does not authorize network access, credentials, Adobe content, consent, uploads, generation, spend, deployment, registration changes, replay, cancellation, or deletion.

Approval Boundaries

Sandbox, vendor-account, data, budget, and operations owners approve tests. Bulk generation/transactions, cancellation, and artifact deletion require explicit execution approval.

Error Handling

  • Never load-test production customer workflows.
  • Abort on unexpected spend, content leakage, growing unknown jobs, or error threshold.
  • Do not use identities or projects as rate-limit shards.

Output

Return assumptions, current constraints, load model, raw/result metrics, correctness evidence, safe envelope, aborts, cleanup, and retest owner. Mark assumptions, observed environment behavior, owners, evidence dates, and unresolved gaps explicitly.

Examples

  • Show queue backpressure before the service is saturated.
  • Recover a worker restart without duplicate submission.

Validation

Exercise and record expected and observed results for:

  • ramp
  • 429
  • vendor 5xx
  • unknown completion
  • worker restart
  • kill switch

Resources

  • Current first-party evidence map — recheck dated Adobe sources before execution.
  • Treat observed tenant or product behavior as environment-specific evidence, never a universal Adobe guarantee.

© 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/adobe-load-scale of jeremylongshore/tons-of-skills-marketplace.

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

Open the folder on GitHubat commit cfae287

Compare with similar skills

Adobe Load Scale 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.

Adobe Load Scale compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Adobe Load Scale this skilljeremylongshore/tons-of-skills-marketplace2.8k—~1kAutomated safety check: PassMIT
Writing Livekit Scenarioslivekit-examples/agent-starter-python2641 repos~2.5kAutomated safety check: PassMIT
Go Testingcxuu/golang-skills1731 repos~1.3kAutomated safety check: PassApache-2.0
Goalcraftgrp06/goalcraft102—~3.8kAutomated safety check: PassMIT
Thinking Partnermattnowdev/thinking-partner206—~4.4kAutomated safety check: PassMIT
Visionkunchenguid/vision331—~2.9kAutomated safety check: PassMIT

Similar skills

  • Writing Livekit Scenarios

    livekit-examples/agent-starter-python

    Creates and maintains the scenarios a LiveKit agent simulation runs, and wires the agent to consume them.

    264 GitHub starsUsed in 1 repo~2.5k tokens
    Testing & QAAuto-check passed

  • Go Testing

    cxuu/golang-skills

    A skill your agent uses when writing, reviewing, or improving Go test code — including table-driven tests, subtests, parallel tests, test helpers, test doubles, and assertions with cmp.Diff.

    173 GitHub starsUsed in 1 repo~1.3k tokens
    Testing & QAAuto-check passed

  • Goalcraft

    grp06/goalcraft

    Turn a rough draft, vague ambition, or messy task brief into a powerful Codex /goal objective for persistent, evidence-checked work.

    102 GitHub stars~3.8k tokensUpdated 4 mo ago
    Testing & QAAuto-check passed

  • Thinking Partner

    mattnowdev/thinking-partner

    A deterministic thinking partner that challenges assumptions and applies mental models to sharpen decisions, solve problems, and think more clearly.

    206 GitHub stars~4.4k tokensUpdated 6 mo ago
    Testing & QAAuto-check passed

  • Vision

    kunchenguid/vision

    Draft and stress-test a VISION.md for a repository, then iterate with the author on an interactive review board until approved.

    331 GitHub stars~2.9k tokensUpdated 1 mo ago
    Testing & QAAuto-check passed

  • Volt Load Testing

    owenHochwald/volt

    Safely exercise and evaluate HTTP APIs with the Volt CLI, including authenticated requests, JSON bodies, staged load, machine-readable results, performance baselines, and before/after comparisons.

    141 GitHub stars~1.2k tokensUpdated 2 mo ago
    Testing & QAAuto-check passed

More from jeremylongshore/tons-of-skills-marketplace

All 3,342 skills in this repo

  • Performing Security Code Review

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to conduct a security-focused code review using the security-agent plugin.

    2.8k GitHub starsUsed in 2 repos~1.3k tokens
    Auto-check: notes

  • Adapting Transfer Learning Models

    jeremylongshore/tons-of-skills-marketplace

    Build this skill automates the adaptation of pre-trained machine learning models using transfer learning techniques.

    2.8k GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed

  • Agent Context Loader

    jeremylongshore/tons-of-skills-marketplace

    Execute proactive auto-loading: automatically detects and loads agents.md files.

    2.8k GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed

  • Aggregating Performance Metrics

    jeremylongshore/tons-of-skills-marketplace

    Aggregate and centralize performance metrics from applications, systems, databases, caches, and services.

    2.8k GitHub stars~1.2k tokensUpdated yesterday
    Auto-check passed

  • Analyzing Capacity Planning

    jeremylongshore/tons-of-skills-marketplace

    Execute this skill enables AI assistant to analyze capacity requirements and plan for future growth.

    2.8k GitHub stars~947 tokensUpdated yesterday
    Auto-check passed

  • Analyzing Database Indexes

    jeremylongshore/tons-of-skills-marketplace

    Process use when you need to work with database indexing. An agent skill from jeremylongshore/tons-of-skills-marketplace.

    2.8k GitHub stars~2k tokensUpdated yesterday
    Auto-check passed

Categories

Questions about Adobe Load Scale

What does Adobe Load Scale do?

Derive a safe Adobe workload envelope from synthetic load, queue/backpressure behavior, current service constraints, spend, and output correctness. Adobe Load Scale is an agent skill from jeremylongshore/tons-of-skills-marketplace. Derive a safe Adobe workload envelope from synthetic load, queue/backpressure behavior, current service constraints, spend, and output correctness.

When should I use Adobe Load Scale?

Adobe Load Scale fits situations like: the task requires adobe capacity and load envelope; with load test Adobe; scale Firefly jobs; adobe capacity plan.

How do I install Adobe Load Scale in Claude Code?

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

How do I install Adobe Load Scale in Codex?

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

Can I use Adobe Load Scale 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 adobe-load-scale -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/adobe-load-scale, .gemini/skills/adobe-load-scale, .github/skills/adobe-load-scale and .opencode/skills/adobe-load-scale in your project.

What does Adobe Load Scale need to run?

SKILL.md names no scripts, command-line tools or credentials: Adobe Load Scale is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep, Write, Edit. Compatibility (from SKILL.md): Designed for Claude Code; live Adobe actions require network access, appropriate entitlement and authentication, and explicit approval.

Does Adobe Load Scale access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Adobe Load Scale 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 Adobe Load Scale use?

Adobe Load Scale 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 Adobe Load Scale use?

About 1k tokens (SKILL.md is roughly 4.1k 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 764 tokens, read only when the agent opens those files.

What are the alternatives to Adobe Load Scale?

Skills that share tags, products or a category with Adobe Load Scale: Writing Livekit Scenarios (livekit-examples/agent-starter-python, 264 stars), Go Testing (cxuu/golang-skills, 173 stars), Goalcraft (grp06/goalcraft, 102 stars) and Thinking Partner (mattnowdev/thinking-partner, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Adobe Load Scale?

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.