Ecommerce AI Agent Skills

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.

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.

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.

By George Hartley, co-founder of Nitrosend. The AI email automation skill for Claude, ChatGPT, and any agent. v2.7, 8 September 2026. Install it and your AI stops guessing about email. It audits your setup, builds flows from a prompt, drafts copy in your voice, directs email design instead of accepting the model's defaults, tells you why you are in spam, and runs your ESP through MCP with a hard r

2 skills

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.

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.