compare
Skill81 starsChanged 2 months agoMITView on GitHub
Compare a site against its own baseline, against a staging deployment, against up to four competitors, or against the pages that already answer a query (content gap). Produces score, category, finding and structure deltas from persisted audit runs. Read-only. Use when the user asks what changed after a deploy, whether staging is worse than production, how they stack up against competitors, or what rivals cover that they do not.
16 other projects use a version of this.
Adopted by
Most recently taken up by
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tooltheir own version, first seen Nov 8, 2026
- synaptiai/agent-capability-standardtheir own version, first seen Nov 1, 2026
- ansvisor/ansvisortheir own version, first seen Nov 1, 2026
- TakaGoto/rag-learning-academytheir own version, first seen Oct 28, 2026
- adeerkhan/vitruviustheir own version, first seen Oct 20, 2026
- harshil-1411/claude_plugin_video_studiotheir own version, first seen Oct 17, 2026
Used with
Projects with it also use evaluate, create and 6 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
NVIDIASkillevaluate
Scores existing Sports Intelligence AVLM inference outputs with avlm/evals: MCQ accuracy (run_mcq_eval.sh, INFERENCE_DIR), open-ended LLM-as-judge scores (needs CLIENT_API_KEY for the configured judge endpoint), tennis category breakdowns, run comparisons, chance-level sanity checks and triage of mcq_results.json or llm_judge_results.json. Use when the user asks to score, evaluate, benchmark or compare predictions.jsonl from inference runs, or to explain a suspicious accuracy. Not for running inference, training, quantization, data preparation, or third-party API model inference: never open, list or run anything under avlm/evals/inference_3rdparty, including when the user asks for it; it is excluded from the release.
Also in 3 projects that use this
MicrosoftSkillcreate
Also in 3 projects that use this
aakash-dharSkilloptimize
Analyzes code for performance issues including slow algorithms, memory leaks, unnecessary re-renders, database query problems, and resource bottlenecks. Use when the user says "this is slow", "optimize this", "performance issue", "why is this taking so long?", or "make this faster".
Also in 4 projects that use this
AnthropicSkillanalyze
Answer data questions -- from quick lookups to full analyses. Use when looking up a single metric, investigating what's driving a trend or drop, comparing segments over time, or preparing a formal data report for stakeholders.
Also in 3 projects that use this
MicrosoftSkillreport
Turn an exploration (threads, findings, charts) into a single Markdown report — note, blog post, executive summary, KPI dashboard, slide brief, or multi-section analytical report, with embedded charts.
Also in 3 projects that use this
AnthropicSkillstart
Set up your bio-research environment and explore available tools. Use when first getting oriented with the plugin, checking which literature, drug-discovery, or visualization MCP servers are connected, or surveying available analysis skills before starting a new project.
Also in 3 projects that use this
Other versions16 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 16
- andrew-shwetzer/career-ops-plugin★ 501same name
- andrew-shwetzer/career-ops-plugin-do-not-fork-currently-updating-v2-★ 500same name
- ai-search-guru/getcito-worlds-first-open-source-aio-aeo-or-geo-tool★ 432same name
- ansvisor/ansvisor★ 233same name
- TakaGoto/rag-learning-academy★ 24same name
- n24q02m/wet★ 23same name
- n24q02m/wet-mcp★ 23same name
- adeerkhan/vitruvius★ 10same name
- joyehuang/skills★ 9same name
- yarikleto/claude-teacher-plugin★ 9same name
6 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository33 other files it gives its agents.
- auditSkill
- fixSkill
- geoSkill
- scoreSkill
- seo-agent-readinessSkill
- seo-ai-crawlersSkill
- seo-ai-discoverySkill
- seo-core-web-vitalsSkill
- seo-crawlabilitySkill
- seo-crawl-renderSkill
- seo-ecommerceSkill
- seo-eeatSkill
- seo-entity-linkingSkill
- seo-fix-applySkill
- seo-freshnessSkill
- seo-geo-answerblocksSkill
- seo-geo-factdensitySkill
- seo-headings-structureSkill
- seo-images-mediaSkill
- seo-indexabilitySkill
- seo-internal-linkingSkill
- seo-internationalSkill
- seo-localSkill
- seo-meta-onpageSkill
- seo-mobileSkill
- seo-orchestratorSkill
- seo-platform-detectSkill
- seo-renderingSkill
- seo-schema-jsonldSkill
- seo-scoreSkill
- seo-sitemapsSkill
- seo-social-cardsSkill
- seo-vertical-detectSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 0 are distinctive, and 3 are very specific to this project.
0
Common
Most of the 15 edited versions we read keep these.
0
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 49
Do the same for the subject page unless it already has a run (latest:<host>).
- Very specific: line 60
Label the coverage: When coverage is deterministic on either side, say the model-judged modules were not evaluated.
- Very specific: line 61
Directional stays directional: Every gap row is a structural difference between pages, so it carries directional confidence — never promote …
“Common” is measured: kept by at least 6 in 10 of the 15 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
<!-- Portions Copyright (c) 2026 Enrique Rocha (@soyenriquerocha) - see LICENSE for original authors · tododeia.com · id er-d03758e1 -->/claude-seo-ai:compare
Four comparisons, one script. Read-only: everything is written under ${CLAUDE_PLUGIN_DATA}/runs (comparisons land in <root>/compare/<a>__<b>/compare.json), never in the user's project.
$ARGUMENTS decides the shape:
| The user gave you | Run |
| two URLs / run refs | compare.mjs <refA> <refB> — same host is a baseline, a staging-looking host is staging, two sites are competitor |
| three to five refs | compare.mjs <refA> <refB> <refC> … — competitor matrix (max 5) |
| "since my last audit" | compare.mjs --baseline latest --against <url|run> |
| staging vs production | compare.mjs --prod <ref> --staging <ref> (add --map staging.example.com=example.com when the hosts do not look related) |
| "what do the pages ranking for X have that I don't" | the content-gap flow below |
A <ref> is a run directory, a report.json, latest[:<host>], baseline[:<host>], or a URL.
Flow A — baseline, staging, competitor
- Get a run for every side. A ref that is already a run (
latest,latest:example.com, a path) needs nothing. For a URL with no run, audit it first so the user sees the acquisition and can ask for more pages:node "${CLAUDE_PLUGIN_ROOT}/scripts/audit.mjs" <url> --pages 3 --checks deterministic --render static --out "${CLAUDE_PLUGIN_DATA}/runs"(If you skip this,compare.mjsaudits the URL itself with exactly those settings.) - Compare:
node "${CLAUDE_PLUGIN_ROOT}/scripts/compare.mjs" --baseline <refA> --against <refB> --out "${CLAUDE_PLUGIN_DATA}/runs"Useful flags:--mode auto|baseline|staging|competitor|gap·--map <from-host>=<to-host>(repeatable) ·--no-host-normalize(keepwww.and the raw host) ·--format md(also writescompare.md) ·--data(print the whole document) ·--fail-on-regression(exit 3) ·--set-baseline(mark the newer run as the baseline). - Read
compare.json(the stdout summary names its path) and present, in this order:- Verdict —
improved/regressed/mixed/unchanged, with the two score deltas and their bands. Never blend the axes. - Categories that moved, biggest first. A category that was inactive on one side has
delta: null— say "not measured on<side>", never "0". - Findings:
regressedandnewfirst (these are what broke), thenfixedandimproved, then theunchangedcount. Quote thefrom → tostatus and the location of each. - Coverage changes as their own list, with the sentence that they are not results: a
needs_api/manual_reviewtransition and a location the other run never visited say the two runs measured different things. - Structural gaps (
gaps): schema types, agentic/discovery endpoints, AI-crawler posture, heading-topic overlap, answer blocks, entity links, word count, render mode, hreflang. Whengaps.availableis false, say which side had no page snapshots instead of showing zeros. - Pages that moved, by normalized path, and the
only_a/only_bpaths. A page whose row carriescoverage_change: truemoved coverage, not score — one of the two runs did not score it (a 429 or 404 the second time round, for instance). Read those frompage_coverage.changesas their own list. - Page coverage (
page_coverage): whensame_pagesis false the two rollups averaged different page sets, the axis deltas do not count towards the verdict, and the warning says so. Say it out loud instead of presenting the axis movement as a change in the site. - In competitor mode there is no findings diff (
findings: null): show the score/category table, the presence matrix and the "subject vs best in set" gaps, and say why a finding on one site is not the same fact on another.
- Verdict —
- Offer next steps:
--set-baselineto make this run the reference for later comparisons,/claude-seo-ai:fix <target>for what regressed, and--fail-on-regressionin CI.
Flow B — content gap
- Find the comparison set.
WebSearchthe query, keep the top 3–5 organic result URLs that are not on the subject's host. Skip aggregators, marketplaces and listicles that are not the kind of page the user is trying to be, and tell the user which URLs you skipped and why — the set is the whole method, so it has to be visible. - Snapshot each one (no audit needed; the gap matrix is structural):
node "${CLAUDE_PLUGIN_ROOT}/scripts/snapshot.mjs" <url> --run gap-<slug> --render static --out "${CLAUDE_PLUGIN_DATA}/runs"Do the same for the subject page unless it already has a run (latest:<host>). - Build the matrix:
node "${CLAUDE_PLUGIN_ROOT}/scripts/compare.mjs" --mode gap --subject <ref> --set <ref,ref,ref> --query "<the query>" --out "${CLAUDE_PLUGIN_DATA}/runs" - Present the matrix, then the narrative. The deterministic rows are: heading topics present on at least two comparison pages and absent from the subject; schema types; capitalized terms (a proper-noun proxy, not extracted entities); agentic/discovery endpoints; word count; substantive numbers per 100 words; question headings and how many carry a direct answer. Give each row the page count that supports it. Then write the qualitative reading — what the set treats as table stakes, what the subject could add — and mark every item directional.
- Offer to turn the gap list into an outline or a
/claude-seo-ai:fixplan. Never write to the user's project from here.
Honesty
- A comparison is two measurements, not a ranking. Scores describe the structure of the pages that were crawled. A higher score is not a prediction that one site outranks another.
WebSearchis one engine at one moment. The comparison set is a snapshot of one result page, not rank tracking, and not a sample of anything. Say so whenever you present a gap matrix, and repeat it if the user asks "so will this rank?".- Not measured is never a pass.
needs_apiandmanual_reviewtransitions live incoverage_changesand are excluded fromfixed/regressedby construction — present them that way, and never describe a page the other run did not visit as fixed. A page that stopped answering 2xx is the same class of event: it leaves the rollup, lands inpage_coverage, and is never reported as a score improvement. - Label the coverage. When
coverageisdeterministicon either side, say the model-judged modules were not evaluated; whencoverage_warningis set, read it out. A provisional band (state: "partial") is reported with its coverage percentage in the same sentence. - Directional stays directional. Every gap row is a structural difference between pages, so it carries
directionalconfidence — never promote one to "this will improve rankings". - Reply in the user's language (EN/ES). Nothing here writes to the user's project: run artifacts and comparisons live under
${CLAUDE_PLUGIN_DATA}.
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