Seo AI Agent Skills

Archive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user says \"archive this\". Maintains .archive/MEMORY.md index for cross-session knowledge reuse.

Reads a CSV or spreadsheet export without changing it and reports what is in it, including row and column counts, each column's type, blanks, distinct values, numeric ranges, duplicates, mixed formats, odd outliers and case or spacing variants, then lists what to ask the data's owner before anyone uses it.

Reads a project's README the way a new user would and checks, against the repository itself, every step they are told to take - the prerequisites and versions, the install and setup commands, the files, scripts, environment variables and ports the README mentions, and the run and test commands. It reports each step as OK, BROKEN, MISSING or UNVERIFIED with file evidence, then gives the first-run path a newcomer would actually experience and the README edits that fix it.

Checks Agent Skills (SKILL.md folders) for portability and common mistakes with a standard-library Python script, then explains each finding and the fix. It catches frontmatter that strict YAML parsers reject (such as an unquoted colon in the description, which makes tools like npx skills skip the skill), keys other than name and description, bad name format, a description that does not say when to use the skill, vendor tool names and paths, missing fallbacks when a tool or the network is...

Reads a draft article, post, newsletter, report or script and lists every claim that needs a source before it is published, sorted by risk, with what kind of source would settle each one. It marks which claims the draft itself already supports, which are plain opinion, and which are risky (numbers, studies, quotes, dates, "first/only/best", cause and effect, claims about people or companies). It does not rule claims true or false from memory.

A Model Context Protocol (MCP) server that transforms how you interact with Google Search Console, Bing Webmaster Tools, and Google Analytics 4. Stop exporting CSVs and start asking questions. 📚 View Documentation Data Silos: Manually checking Google, then Bing, then GA4. Manual Correlation: Exporting 3 different CSVs and using VLOOKUPs to see if your 1 ranking page actually converts. Switching F

Reads a job post for a job seeker and says in plain words what the job is, which requirements are firm and which are wishes, what the post leaves out (pay, location, hours, team), which phrases are worth a question, and what to ask the recruiter. It quotes the post for everything and never guesses about the employer.

Checks a drafted cold email before it is sent. It tests every claim about the prospect against text you supply, flags claims about you that need proof, checks length, subject line and the single ask, checks the legal basics of commercial email (sender identity, postal address, opt-out), and returns a tightened version with unsupported claims removed.