agentsclimarketplace

Index365

Skill index365usa/agent-skills/skills/index365

Use when the user mentions index365, has an i365_ API key, or wants to audit a website for how well AI agents and AI search can read it (AI-Readiness) or whether demand can find, trust, act on, and measure the site (Marketing Signal). Triggers: "is my site AI-ready", "audit my site", "check my AI visibility", "run an index365 audit", "what's my score", "fix what index365 found", or a pasted index365 finding / "copy fix prompt for your agent" button. This is the router: it picks the right index365 sub-skill. Do NOT trigger for unrelated SEO tools, generic web scraping, or local-file tasks.From its SKILL.md

Install
npx -y skills add index365usa/agent-skills --skill index365

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
  • runs commandsInstructs the agent to run 7 commands, including `index365 runs start` and 6 more.

SKILL.md

3.2 KB, 653 tokens by cl100k_base, as published. Nobody here has run it

index365

index365 audits a website and returns a score plus findings with stable IDs, evidence, and machine-readable remediation. Everything the dashboard does is also available to your agent over the public /api/v1, wrapped by the @index365/cli and @index365/mcp packages. These skills wrap the CLI; the CLI wraps the API. The API holds all the logic, so the skills stay thin and never go stale.

The two audits

AuditAnswersRun with
AI-ReadinessCan AI agents and AI search read, understand, and act on this site?index365 runs start
Marketing SignalCan demand find the site, trust the offer, act, and be measured?index365 marketing run

Each run produces a 0–100 score and findings. Findings carry a stable findingId, severity, category (AI-Readiness) or stage (Marketing Signal: Find / Trust / Act / Measure / Improve), affectedUrls, human remediation, and machine-readable agentActions.

The ladder (route to the sub-skill)

The user wants to…Skill
First-time setup, a 401, "connect index365", doctor failsindex365-setup
Add a site / "start auditing example.com"index365-add-project
Run or re-run an auditindex365-run-audit
See the score / read findings / "what's wrong"index365-read-report
Prioritize / "what do I fix first"index365-triage-findings
Fix one finding (a pasted findingId, the copy-prompt button)index365-apply-fix
"Make my site AI-ready", audit AND fix the whole thingindex365-audit-and-fix (flagship)
Re-check the score after a changeindex365-run-audit then index365-read-report
Remove a projectindex365-delete-project (destructive, confirms first)

Always first

Run index365 doctor. If the key is missing or auth fails, go to index365-setup before anything else, do not work around a missing key.

Output discipline

CLI write commands and large reads land in a git-ignored .index365/ dir. Read them with grep / jq / head; never paste a whole report into context. index365 reports context <runId> prints JSON to stdout, redirect it to a file.

Single calls don't need a skill

index365 projects list, index365 runs get <id>, and index365 findings get are single commands with no added judgment, just run them. Skills exist for the steps that need judgment (which audit, what to fix first, applying a fix safely).

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most marketing audience skills give in 653 tokens

Counted across 690 of the 894 authors here whose files we hold, read 2026-08-07

  • Apply Poppins font to headingsin 41 of 690, across 6 files
  • Apply Lora font to body textin 41 of 690, across 6 files
  • Use Arial fallback for headingsin 39 of 690, across 4 files
  • Use Georgia fallback for body textin 39 of 690, across 4 files
  • Maintain text hierarchy and formattingin 39 of 690, across 4 files
  • Use accent colors for non-text shapesin 38 of 690, across 3 files
  • Use RGB values for precise color matchingin 38 of 690, across 3 files
  • Use brand colors for primary text and backgroundsin 36 of 690, across 1 file
  • Read product marketing context file before asking questions, starting, or auditingin 35 of 690, across 23 files
  • Use active voice instead of passive voicein 26 of 690, across 10 files
  • Implement or generate appropriate JSON-LD structured datain 24 of 690, across 17 files
  • Prioritize clarity over clevernessin 22 of 690, across 8 files

Said here and by no other author read

  • run the doctor command first
  • use index365-setup for missing key or auth failure
  • never work around a missing key
  • store write commands and large reads in a git-ignored directory
  • parse large reads with standard cli tools
  • never paste a whole report into context

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

Keep looking

Skills are one crate of 325,949. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.