Agent skills
Agent skills for founders who want growth work shipped
Agent skills turn one-off prompts into repeatable work. Tin Computer uses that pattern for site health checks, SEO reviews, analytics reads, and growth tasks that need to survive beyond one chat.
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Agent skills are reusable instructions, scripts, and acceptance checks that tell an AI coding agent how to perform a specific kind of work. For a founder, the useful version is not a generic prompt library. It is a small operating system for repeated growth jobs: inspect the site, find the highest-value issue, make the change, and measure whether it moved.
Tin Computer is built around that idea. A growth task should not depend on someone remembering the perfect prompt. The process should carry the context, the quality bar, the safety rules, and the proof step so the next run is better than the last one.
This hub collects the two first questions builders ask when they start turning agents into an operating layer: how a solo founder can run more of the business through Claude Code, and where agent skills stop and MCP starts.
How it works
- 01
Pick one repeated business job
Start with work that recurs and has an observable result: site health checks, keyword gaps, signup friction, support triage, or product analytics reads.
- 02
Write the skill around evidence
The skill should name the sources to inspect, the order to inspect them, the risks to avoid, and the proof required before the work is called done.
- 03
Give the agent a shipping path
A growth skill should end in a PR, a published page, a measured report, or a founder decision. If it ends in advice, it is not doing enough work.
- 04
Measure the loop
Track page views, CTA clicks, skill fetches, signups, and downstream activation so the content program can learn which skill topic creates useful demand.
Is this just prompt engineering with a new name?
No. A prompt asks for an answer. A useful skill defines a job. It includes source rules, tools, constraints, acceptance checks, and a handoff format. That makes the work repeatable enough for a founder to trust it across many runs.
Start with growth jobs that have a proof step
The strongest agent skills are attached to work where the result can be checked. A site-health skill can show which pages returned 200, which links broke, and which accessibility or metadata issues changed. A keyword-gap skill can name the source, target query, page, and next article. A product-analytics skill can show the event window and the exact leak it found.
- Good skill: scan the site, rank issues by growth impact, ship one fix, and verify the live page.
- Weak skill: brainstorm ten growth ideas with no source check and no acceptance criteria.
- Good skill: compare an agent-skills page against current search results and update the article with evidence-backed sections.
- Weak skill: write a generic AI tools article that could appear on any site.
The Tin growth skill prepared for this sprint
The first Tin-branded skill is a site-health growth scan. It gives a coding agent a practical runbook for inspecting a live product site, finding the smallest issue that blocks organic growth or conversion, and returning either a ready pull request or a clear measured report.
Tin site-health growth scan skill
Fetch the Tin site-health growth scan skill as markdown for Claude Code, Codex, or any coding agent that can read a URL.
Pillar guide
Read how solo founders can run a company through Claude Code without turning every workflow into a one-off chat.
Pillar guide
Read when to use agent skills, when to use MCP, and why most useful systems need both.
What Tin measures on this cluster
Every page in this cluster fires the same SEO page-view event Tin uses elsewhere, with the page slug, cluster, archetype, and primary keyword. The scan form forwards the slug into the signup path, and the skill endpoint records skill fetches so Tin can separate readers, skill installers, and people who start a product scan.
Frequently asked questions
- What are agent skills?
- Agent skills are reusable instructions, scripts, examples, and checks that teach an AI agent how to do a specific job reliably instead of answering a single prompt.
- Why should a founder care about agent skills?
- A founder gets leverage when repeated jobs stop depending on memory. Skills let site audits, analytics reads, support triage, and content work run with the same quality bar every time.
- Are agent skills only for Claude Code?
- No. Claude Code popularized the pattern for many builders, but the idea works for any coding agent that can read local instructions, run tools, and return a checked result.
- What is a good first growth skill?
- A site-health growth scan is a strong first skill because it has clear inputs, visible output, and a measurable result: the site either loads, routes, tracks, and converts correctly, or it does not.
- How are skills different from templates?
- A template gives structure to a document. A skill gives structure to work: what to inspect, what to avoid, what to change, and how to verify the result.
- Can agent skills replace a growth team?
- They can replace a lot of repeated inspection and execution work, but someone still needs a strategy, source data, and a review path. Tin Computer packages those pieces into daily growth tasks.
- How do you know if an agent skill is working?
- Track the work it produces. For Tin, that means page views, CTA clicks, skill fetches, scan starts, signups, and the downstream tasks or pull requests created from the run.
- Where should I put agent skills?
- Keep product-specific skills in the repo near the product they operate on. Publish general skills to directories or docs pages only after they are useful without private context.
See it run on your own site
Run the free five-step scan and see exactly what Tin Computer would work on for your project. No card.
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