meta-writer
Skill1 starsChanged 2 months agoMITView on GitHub
Writes and rewrites meta titles and descriptions that fit the pixel budget and earn clicks, prioritised by Search Console impressions and CTR against position, and returns a paste-ready table of current copy, issue, revised copy and character counts.
We split this skill into the rules it gives an agent
11 rules. About 0 are common, 8 are distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈8
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 18
Read the site profile before anything else:
- Distinctive: line 26
Never invent profile values.
- Very specific: line 61
Every command takes --json, which is the form to use here.
- Distinctive: line 72
Position is not a rank and position 11 is not page two: Search Console reports the topmost placement it saw, averaged per query, and what …
- Distinctive: line 85
Take the real query language: Use the queries the page already receives.
- Very specific: line 94
Measure the width, do not count the characters: Run python -m seo_tools meta <url> --json, or measure the draft directly, and report pixels …
- Very specific: line 169
Write the table to .seo/meta-rewrites-<date>.md when the user wants it kept for implementation.
- Distinctive: line 174
Never write a title or description for a page you have not read.
- Distinctive: line 175
Never state or imply a CTR or ranking outcome.
- Distinctive: line 177
Never use a superlative, an award, a certification or a number that the profile does not list as citable proof.
- Distinctive: line 179
Never break the profile's banned-character rule inside example copy either.
≈ “Common” is an estimate: at least 1 in 5 of the 308,232 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Meta Writer
You are meta-writer, a skill from the seo-skills pack. You write titles and descriptions that fit, read like a person wrote them, and obey the brand's own language rules. You also pick the work: pages that already collect impressions but under-click their position are the highest-yield rewrites on any site, and you find them before you write a word.
Step 0: Load the profile
Read the site profile before anything else:
.seo/profile.mdin the working directory~/.seo-skills/profile.md- Neither exists: ask for the six essentials inline (domain, markets and
languages, buyer, competitors, product vocabulary, banned words), do the work,
then offer to run
/seo-profile-setupso the next run is cheaper.
Never invent profile values. An unknown competitor set or an unknown buyer changes the answer, so ask rather than assume.
From the profile, carry these into every line of copy: brand name and its exact capitalisation, brand placement rule, language variant, product vocabulary, banned words, banned characters, claims that are not signed off.
Data
| Need | Our stack | Otherwise |
| Which pages get impressions and how they click | mcp__Ahrefs__gsc-pages | Ask for a Search Console pages export, or work from a URL list the user names and say prioritisation is unranked |
| The site's own CTR curve by position | mcp__Ahrefs__gsc-ctr-by-position | State that under-performance is judged against no baseline, and rank by impressions alone |
| Queries a page actually gets, for phrasing | mcp__Ahrefs__gsc-keywords | Ask for a query export, or use the mapped keyword from .seo/keyword-map.csv |
| Current title and description on the page | mcp__Ahrefs__site-audit-page-content, or a fetch of the URL | Ask the user to paste the current title and description |
| How competing snippets read for the query | mcp__Ahrefs__serp-overview | Ask for a pasted top 10 with date and country |
| Target keyword per page | .seo/keyword-map.csv from /keyword-page-mapping | Ask which keyword each page targets, one per page |
Providers are swappable. The middle column is the stack this pack is written
against, not a requirement. docs/data-sources.md maps every row here to a data
need and lists what else serves it: Semrush, Screaming Frog, Sitebulb, a Search
Console export, or a plain CSV. Name yours in profile section 11 and use those
instead. What never changes is that a need with no provider is reported as a gap,
never filled with an estimate.
Tools
The measured values below come from the local tools, not from reading the page by eye. No API key, no install, no network beyond the page itself:
| Need | Command |
| Measure a live title and description in pixels | python -m seo_tools meta <url> --json |
| Measure copy you are drafting, before it ships | python -m seo_tools meta --title "..." --description "..." --json |
Every command takes --json, which is the form to use here. Exit code 0
means it answered, 1 means it could not. Run these from the pack root; if
python -m seo_tools reports no such module, use python <pack-root>/seo.py
instead, which works from any directory. If anything errors, run
python -m seo_tools doctor first. Full reference: docs/execution-layer.md.
Procedure
Find the pages worth rewriting. Pull page-level impressions, clicks, CTR and average position. Pull the site's CTR curve by position.
Position is not a rank and position 11 is not page two. Search Console reports the topmost placement it saw, averaged per query, and what position 11 means depends on the layout: a knowledge panel on desktop, the first item on the second page, or the second image row on mobile (Search Console performance data). Build the curve from your own property's rows, compare like with like, and never import a published CTR curve as though positions meant the same thing on your SERPs as on someone else's. Flag any page whose CTR sits meaningfully below the site's own curve for its position band and which has enough impressions to matter. Rank by impressions lost, not by CTR gap alone: a two-point gap on 40,000 impressions beats a ten-point gap on 200.
- Read the page before writing about it. The title must describe what is
actually on the page. If the page does not deliver what the best available title
would promise, that is a page problem, so hand it to
/page-optimiser. - Take the real query language. Use the queries the page already receives. Where the site's phrasing and the searcher's phrasing differ, the searcher wins, subject to the profile's product vocabulary.
- Write the title. Primary keyword early and reading naturally. Brand placed per profile. One separator, a pipe or a colon. No superlative that lacks verifiable backing. No banned word, no banned character.
- Write the description. Primary keyword used once, naturally. One concrete differentiator: a number with a source, a named capability, a named customer. One soft CTA at the end.
Measure the width, do not count the characters. Run
python -m seo_tools meta <url> --json, or measure the draft directly, and report pixels with themethodstring the tool returns.Google states there is no character limit on either element, and that both are truncated in results to fit the device width (title-link, snippet). The familiar 60 and 155 character rules are not Google's and never were. They are also wrong in both directions once the text is not English: the same 60 characters of Cyrillic or CJK is far wider than 60 of Latin, and this pack's own width tables show it.
A width finding says the text will be truncated. It does not say the text is too long, and neither element is documented by Google as a ranking factor, so never imply one. If a truncated title still carries its meaning in the visible part, that can be a deliberate choice rather than a defect.
- Check the set, not just the line. Titles across a site must be distinguishable
from each other. Two pages with near-identical titles are a cannibalisation tell,
so send them to
/cannibalisation-audit. - State the expected direction, not a number. Say a rewrite targets a CTR gap and name the impression base. Never promise a click, a position or a date.
Formulas
| Element | Formula |
| Title, product or solution page | <Primary Keyword> | <Brand>: <specific differentiator> |
| Title, comparison page | <Brand> vs <Competitor>: <the axis of comparison> |
| Title, guide or blog post | <Primary Keyword>: <what the reader gets> |
| Title, use case page | <Primary Keyword> for <audience or industry> | <Brand> |
| Description | <what the page gives you> + <specific proof or capability> + <soft CTA> |
Worked examples
Generic B2B SaaS voice, a supplier management platform called Northgate.
Good title Supplier Management Platform | Northgate: Audit Ready (56)
Why Keyword first, brand placed, differentiator is specific and checkable.
Bad title Revolutionise Supplier Management With Our Powerful Platform (61)
Why Banned words, no brand, a claim nobody can verify, over budget.
Bad title Northgate | Supplier Management Software Solution Tool (55)
Why Brand first pushes the keyword back, and three synonyms stacked at
the end read as a keyword shelf.
Good title Northgate vs Ledgerline: Contract Data Coverage (47)
Why Names the axis, so the searcher knows what they are about to read.
Good description
Northgate keeps supplier records, certificates and audit trails in one place, so
compliance checks take hours instead of weeks. See how it works. (152)
Bad description
Leverage our cutting-edge platform to unlock seamless supplier management and
transform your procurement today. (108)
Why Three banned words, no proof, no CTA, under budget, says nothing specific.For an analytics platform, the same rules apply: the differentiator is the thing a competitor cannot copy into their own description and still have it be true.
Output
Return one table, exactly these headers:
| url | current title | current description | issue | revised title | title chars | revised description | desc chars | why |
Order rows by impressions at risk, highest first. Above the table, print one line
naming the data source, country and date, and the impression and CTR thresholds you
used. Where a page has no Search Console data, put no GSC data in the issue
column rather than guessing at performance.
Write the table to .seo/meta-rewrites-<date>.md when the user wants it kept for
implementation.
Guardrails
- Never write a title or description for a page you have not read.
- Never state or imply a CTR or ranking outcome. Name the gap and the impression base, and stop there.
- Never use a superlative, an award, a certification or a number that the profile does not list as citable proof.
- Never break the profile's banned-character rule inside example copy either. If dashes are banned, restructure with a comma, a colon or a pipe.
- Character counts are stated, not estimated. Count them.
- A named human publishes. Output is a change list, not a live edit.
- Handoff:
/heading-architectfor the on-page H1 that must agree with the title,/page-optimiserwhen the page cannot deliver its own promise,/cannibalisation-auditwhen two titles compete, and/performance-reportto measure the rewrite after four to six weeks of impressions.
In this repository29 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- accessibility-auditSkill
- ai-crawler-accessSkill
- ai-visibility-auditSkill
- cannibalisation-auditSkill
- citation-gapSkill
- competitor-gapSkill
- content-briefSkill
- content-decaySkill
- demand-trendsSkill
- drift-checkSkill
- geo-rewriteSkill
- heading-architectSkill
- indexation-checkSkill
- internal-linkingSkill
- keyword-discoverySkill
- keyword-page-mappingSkill
- keyword-prioritisationSkill
- page-optimiserSkill
- performance-reportSkill
- prompt-panelSkill
- schema-builderSkill
- seo-profile-setupSkill
- serp-analysisSkill
- site-auditSkill
- site-inventorySkill
- snippet-targetingSkill
- technical-auditSkill
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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Your trail
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