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Agent skill

Adobe Performance Tuning

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

Improve Adobe integration latency and throughput from measurements while preserving correctness, policy, and spend boundaries.

MITAuto-check passedDocuments & Office

Install Adobe Performance Tuning

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

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

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

At a glance

Improve Adobe integration latency and throughput from measurements while preserving correctness, policy, and spend boundaries.

  • Works in 6 steps: Define objective, workload, input class,… → Instrument queue, transport, vendor job,… → Measure percentiles, 429s, failures,… → …
  • The task requires adobe measured performance tuning
  • 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 Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Improve Adobe integration latency and throughput from measurements while preserving correctness, policy, and spend boundaries. Use when the task requires adobe measured performance tuning. Trigger with "tune Adobe performance", "reduce Firefly latency", or "optimize PDF jobs".

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 Documents & Office. 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 measured performance tuning
  • With tune Adobe performance
  • Reduce Firefly latency
  • Optimize PDF jobs

Example prompts

  • “tune Adobe performance”
  • “reduce Firefly latency”
  • “optimize PDF jobs”
  • “/adobe-performance-tuning”

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 objective, workload, input class, concurrency, cost ceiling, completeness, and measurement window.
  2. Instrument queue, transport, vendor job, polling, storage transfer, validation, retry, and downstream spans.
  3. Measure percentiles, 429s, failures, bytes, transactions/generations, and artifact correctness from a synthetic canary.
  4. Test token reuse, connection reuse, right-sized inputs, bounded concurrency, adaptive polling, and safe deduplication independently.
  5. Canary one change within current documented constraints and compare correctness plus spend, not latency alone.
  6. Retain verified gains with rollback thresholds and remove instrumentation that captures sensitive content.

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 Performance Tuning 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 413 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). 413 words, ~1,028 tokens.

Download SKILL.mdSave it as .claude/skills/adobe-performance-tuning/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
adobe-performance-tuning
description
Improve Adobe integration latency and throughput from measurements while preserving correctness, policy, and spend boundaries. Use when the task requires adobe measured performance tuning. Trigger with "tune Adobe performance", "reduce Firefly latency", or "optimize PDF jobs".
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
<service-operation> <measurement-window> <objective>
version
1.8.0
license
MIT
author
Jeremy Longshore <jeremy@intentsolutions.io>
tags
saas, adobe, performance
model
inherit
effort
high

Adobe Measured Performance Tuning

Overview

Improve Adobe integration latency and throughput from measurements while preserving correctness, policy, and spend boundaries. 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

No universal Adobe latency table is a production contract. Measure token reuse, queue wait, upload/download, submission, status polling, vendor processing, validation, and downstream work separately by service and operation. Recheck the dated evidence map before relying on mutable product behavior.

Authentication

Use content-free metrics and aliases. Token reuse must honor actual expiry response and revocation; cached signed URLs and customer outputs are not performance caches by default.

Instructions

  1. Define objective, workload, input class, concurrency, cost ceiling, completeness, and measurement window.
  2. Instrument queue, transport, vendor job, polling, storage transfer, validation, retry, and downstream spans.
  3. Measure percentiles, 429s, failures, bytes, transactions/generations, and artifact correctness from a synthetic canary.
  4. Test token reuse, connection reuse, right-sized inputs, bounded concurrency, adaptive polling, and safe deduplication independently.
  5. Canary one change within current documented constraints and compare correctness plus spend, not latency alone.
  6. Retain verified gains with rollback thresholds and remove instrumentation that captures sensitive content.
Show full SKILL.md (183 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

Workload, data, and budget owners approve load or generation tests. Do not increase credentials or identities to manufacture throughput.

Error Handling

  • Delete invented benchmark tables.
  • Do not parallelize past queue, spend, or service evidence.
  • Roll back if output correctness, content provenance, throttling, or cost worsens.

Output

Return baseline spans, bottleneck attribution, experiments, before/after percentiles, correctness/spend proof, selected change, and rollback. Mark assumptions, observed environment behavior, owners, evidence dates, and unresolved gaps explicitly.

Examples

  • Compare fixed polling with bounded response-led adaptive polling.
  • Prove token reuse stops on actual expiry or revocation.

Validation

Exercise and record expected and observed results for:

  • queue wait
  • upload bottleneck
  • 429
  • unknown status
  • cache staleness
  • rollback

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-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

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DOCXrvdbreemen/OTGW-firmware20733 repos~4.3kAutomated safety check: PassProprietary
Word Document Reader and WriterHKUDS/DeepTutor41k—~2.5kAutomated safety check: PassApache-2.0

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Categories

Questions about Adobe Performance Tuning

What does Adobe Performance Tuning do?

Improve Adobe integration latency and throughput from measurements while preserving correctness, policy, and spend boundaries. Adobe Performance Tuning is an agent skill from jeremylongshore/tons-of-skills-marketplace. Improve Adobe integration latency and throughput from measurements while preserving correctness, policy, and spend boundaries.

When should I use Adobe Performance Tuning?

Adobe Performance Tuning fits situations like: the task requires adobe measured performance tuning; with tune Adobe performance; reduce Firefly latency; optimize PDF jobs.

How do I install Adobe Performance Tuning in Claude Code?

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

How do I install Adobe Performance Tuning in Codex?

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

Can I use Adobe 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 adobe-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/adobe-performance-tuning, .gemini/skills/adobe-performance-tuning, .github/skills/adobe-performance-tuning and .opencode/skills/adobe-performance-tuning in your project.

What does Adobe Performance Tuning need to run?

SKILL.md names no scripts, command-line tools or credentials: Adobe Performance Tuning 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 Performance Tuning 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 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 Adobe Performance Tuning use?

Adobe 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 Adobe Performance Tuning 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 772 tokens, read only when the agent opens those files.

What are the alternatives to Adobe Performance Tuning?

Skills that share tags, products or a category with Adobe Performance Tuning: Markdown Article Formatter (JimLiu/baoyu-skills, 27k stars), Markitdown (ImCa0/just-laws, 781 stars), Obsidian Markdown (Atmosphere/atmosphere, 3.8k stars) and DOCX (rvdbreemen/OTGW-firmware, 207 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Adobe 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.