Audit findings repeat. Missing security headers, absent llms.txt, broken robots.txt — the same issues show up across codebases, and the fixes are mechanical enough to automate. Agent Skills let you encode those fixes once and run them reliably with a coding agent instead of rewriting the instructions from scratch each time.

What an Agent Skill is

An Agent Skill is a modular instruction set installed into an AI coding agent's context. For Claude Code, skills are loaded via npx skills add <skill-name>; other agents (Cursor, GitHub Copilot) have equivalent plugin mechanisms. Once installed, a skill runs when invoked — it brings its own scope, file targets, and verification steps rather than relying on the agent to infer them from a vague prompt.

The key property of a well-written skill is that it is complete: it specifies what to check, what the correct state looks like, which files to touch, and how to verify the fix is done. An agent following a skill produces the same result on every run, on every codebase with the same stack.

Why vague prompts produce inconsistent fixes

"Fix my SEO" is a prompt that forces the agent to guess. It might add a meta description, or refactor your sitemap, or add JSON-LD — or some combination depending on what happened to be visible in context. Results vary across runs and across engineers.

A scoped skill inverts this. A add-security-headers skill knows to inspect the Cloudflare Worker response handler, add Strict-Transport-Security, X-Content-Type-Options: nosniff, X-Frame-Options: DENY, and Referrer-Policy headers, and then verify they appear in a curl -I output against the local dev server. The agent doesn't guess what "security headers" means — the skill defines it.

Mapping audit findings to skills

Audit findings sort cleanly into remediable categories, which maps directly to the skill model:

Missing robots.txt — a skill that creates or patches robots.txt, adds explicit AI crawler entries (GPTBot, ClaudeBot, Google-Extended), and validates the file parses without syntax errors.
Absent llms.txt — a skill that generates a minimal /llms.txt from your sitemap's top-level URLs, serves it as text/plain, and links it from robots.txt.
No structured data — a skill that injects Organization and WebSite JSON-LD into the page <head>, parameterized from your site config, and validates the output against the schema.org validator.
Missing security headers — as described above, a skill that targets your edge worker or server middleware.
Unoptimized meta descriptions — a skill that reads existing descriptions, flags ones outside the 120–155 character window, and rewrites them.

Skills compose into a remediation pass

The real leverage is composition. You can chain a fix-robots-txt skill with add-llms-txt with add-structured-data with add-security-headers into a single remediation run. Each skill handles its own verification step before the next skill starts. The chain is repeatable — run it again after a dependency upgrade or a config change, and it catches regressions.

This is meaningfully different from a one-shot prompt that tries to do everything at once. Chunked skills are easier to review (each change is scoped), easier to debug (failures are isolated to one step), and easier to update (swap out one skill without touching the others).

The workflow

The practical loop is:

Run the isitready.dev audit against your canonical origin.
Export the prioritized findings list, grouped by severity.
Match each finding to an existing skill, or author a new one for anything site-specific.
Run the skills against your codebase in priority order.
Re-run the audit to confirm the findings are resolved.

Step 5 is non-negotiable. Skills verify at the code level; the audit verifies at the live HTTP level. Both need to pass.

Start from the audit report

The isitready.dev audit report groups findings by severity — P0 through P3 — giving you a ranked list to feed directly into skill-based remediation. Fix the P0s first (missing robots.txt, HTTP origins), then P1s, then work down. The report output is designed to be copy-pasted as context into your agent session alongside the relevant skill.