Adobe Skills is a collection of skills, plugins, agents, and MCP servers that extend AI coding agents with workflows for Adobe products and other tasks. Developers use it to help coding agents work with Adobe analytics and application-building tools. The catalogue entries are the repository’s own skills, plugins, agents, and MCP integrations.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/adobe/skills/cja-segment-performance-comparatornpx skills add adobe/skills --skill cja-segment-performance-comparatorgit clone --depth 1 https://github.com/adobe/skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/adobe/skills/cja-segment-performance-comparator)<a href="https://agentmods.dev/skills/adobe/skills/cja-segment-performance-comparator"><img src="https://agentmods.dev/badge/skills/adobe/skills/cja-segment-performance-comparator.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00106 | $0.02562 |
| Opus 5 | $0.00053 | $0.01281 |
| Sonnet 5 | $0.00021 | $0.00512 |
| Haiku 4.5 | $0.00011 | $0.00256 |
Grade A, and why
cja-segment-performance-comparator scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 262 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Segment Performance Comparator (Customer Journey Analytics)
Compare 2–5 audience segments across a set of key metrics in a side-by-side matrix. The output tells the user not just what each segment looks like in isolation, but which segment wins or loses on each metric — and which differences are large enough to act on.
This skill answers the question "which audience should we focus on?" with data. Segment comparisons drive product decisions, personalization strategy, and budget allocation — so clarity and actionability matter more than exhaustive data.
CJA MCP Tools Used
findSegments— search for segments by name or keyworddescribeSegment— understand the logic of candidate segments before using themfindMetrics— resolve base metric IDsfindCalculatedMetrics— include custom KPIs in the comparisonlistComponentUsage— identify the most-used metrics as default comparison setrunReport(withsegmentIdsoradhocSegments) — pull metric values per segment
Phase 0 — Setup
- Call
findDataViewsto list available data views. - If the user hasn't specified a data view, present the list and ask which to use.
- Call
setDefaultSessionDataViewIdwith the chosen ID. - Ask the user which segments to compare if not already specified. Confirm the metrics to compare them on.
Phase 1 — Identify Segments to Compare
1.1 From user description
If the user named specific segments, resolve them:
findSegments(search: "<segment name>")
For each match, call describeSegment to verify it is the correct one:
describeSegment(segmentId: "<id>")
Show the segment definition summary to the user if there is ambiguity:
"I found two segments matching 'mobile users': Mobile Visitors (All Devices) and Mobile App Users. Which do you want to compare?"
1.2 From plain-English descriptions
If the user says "compare mobile vs desktop users" but there are no matching segments, offer to create ad hoc segments inline for the comparison:
"I don't see pre-built segments for mobile and desktop. I can create temporary ad hoc segments for this comparison using device type. Should I proceed with ad hoc segments, or would you like to create permanent segments first?"
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 262 lines · 106 tokens per session scan A ba093970d3e4
cja-segment-performance-comparator is a skill published in the GitHub repository adobe/skills (177 stars, last pushed yesterday), licensed Apache-2.0. It adds 106 tokens to every session and 2,562 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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