github-seo
Skill2 starsChanged 14 days agoMITView on GitHub
Makes an open-source GitHub repo discoverable and safe to publish. Audits the repo name, description, topics and README for search, writes a search-ready README, runs a pre-publish secret and client-data check, and guides the launch sequence. Covers MCP server registry submissions (Official MCP Registry, Smithery, Glama, mcp.so). Use when the user wants more stars, traffic or search visibility for a repo, is about to open-source a project, asks for GitHub SEO or repo SEO, or wants to publish an MCP server. Not for general website SEO.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- kiku-jw/codex-skillstheir own version, first seen Jul 28, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- kiku-jw/codex-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
Show its rules and text
We split this skill into the rules it gives an agent
18 rules. About 0 are common, 11 are distinctive, and 7 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈11
Distinctive · estimate
This author's own choices. Worth a look.
7
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 14
Every claim in this skill and its references carries one of three labels.
- Distinctive: line 29
If unsure, check whether the repo exposes MCP tools.
- Distinctive: line 33
Never skip this, and never let distribution excitement jump ahead of it.
- Distinctive: line 40
If anything questionable appears, stop and tell the repo owner.
- Very specific: line 47
Run the read-only audit. It needs the GitHub CLI (gh) logged in.
- Very specific: line 59
Slug: Use a keyword-bearing name, not an internal codename.
- Very specific: line 63
README: Write it from references/readme-template.md: 400 to 700 words, keyword-bearing H1, a first paragraph that works as a search snippet …
- Very specific: line 68
License and contributor files: Add a LICENSE (no license reads as "do not use this"), CONTRIBUTING.md and SECURITY.md.
- Distinctive: line 79
Upstream galleries and awesome-lists: only once the repo is complete and has real stars.
- Very specific: line 81
Claude plugin directory: If the repo ships a Claude plugin, follow references/claude-plugin-directory.md for the submission portal, …
- Very specific: line 87
Start with references/mcp-install-and-metadata.md: choose the package type (npm, PyPI, OCI and others each have their own ownership check), …
- Distinctive: line 97
Do not buy stars or run star-for-star swaps.
- Distinctive: line 98
Do not post identical promotional text across subreddits, and do not post in r/programming or r/webdev (see the distribution reference for …
- Very specific: line 99
Do not budget citation lift on llms.txt.
- Distinctive: line 100
Do not publish a benchmark that documents an unfixed live defect in someone's shipping product.
- Distinctive: line 101
Do not keyword-stuff the About box or topics.
- Distinctive: line 102
Do not state registry behaviour or ranking mechanics as fact without a source.
- Distinctive: line 106
When you finish, give the owner three lists: what you changed, what only they can do (social preview upload, pinning, account-bound …
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 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
GitHub SEO
A playbook for getting an open-source repo found, ranked and cited, in the right order. Built from SERP research plus standard open-source practice.
Evidence labels
Every claim in this skill and its references carries one of three labels. Keep them when you report back, and never upgrade a label without a source.
- verified: checked against a primary source or a live search result, with a date.
- observed: seen in a real result at a point in time, not a documented rule. Re-check before relying on it.
- general: common open-source practice, not tested here. State it as practice, not fact.
GitHub does not publish its search ranking algorithm. Treat any "GitHub ranks X" statement as inference.
Step 0: pick the path
- Path A, plain GitHub repo: a template, starter, benchmark harness, CLI, library or skill.
- Path B, MCP server: the project defines tools or resources over the Model Context Protocol
(look for
server.json,mcp.jsonor an MCP SDK dependency). Do Path A first, then Step B.
If unsure, check whether the repo exposes MCP tools. If it does, it is Path B plus Path A.
Step 1: safety pass (mandatory, before anything goes public)
Never skip this, and never let distribution excitement jump ahead of it.
- Confirm the repo holds no private client code, client names, store domains, internal ticket keys, API details specific to a client, or personal data about contractors or employees.
- Scan the full git history, not only the current tree. A key committed and later deleted is
still recoverable. Use
gitleaks detect --source . -vwhen installed; otherwise use the grep inreferences/publish-safety.md. - If anything questionable appears, stop and tell the repo owner. The public or private call is theirs.
- Settle the repo name now. Renaming after links accrue is costly (see Step A.1).
Details and the publish-or-not framework: references/publish-safety.md.
Step 2: audit what exists
Run the read-only audit. It needs the GitHub CLI (gh) logged in.
python3 scripts/check_repo_seo.py owner/repoIt reports pass, warn or fail for the description, topics, homepage, license, README shape, and community files, and prints the one lever it cannot check (the social preview image). Fix failures first, then warnings.
Step A: plain repo checklist
- Slug. Use a keyword-bearing name, not an internal codename. The slug appears in the page
title as
owner/repo-name[observed, 2026-08-08, two top-ranking repos in one SERP]. Rename before the repo is public. If it is already public and linked, prefer fixing the description and H1 over a rename. - README. Write it from
references/readme-template.md: 400 to 700 words, keyword-bearing H1, a first paragraph that works as a search snippet [observed], a copy-pasteable quickstart. - About box. One sentence description with the platform nouns people type, the Website
field set to the canonical write-up, and topics that are accurate (GitHub allows up to 20).
Field guidance:
references/general-github-seo.md[general]. - License and contributor files. Add a
LICENSE(no license reads as "do not use this"),CONTRIBUTING.mdandSECURITY.md. - Social preview. Upload a 1280 by 640 image in Settings, General. GitHub offers no CLI or API for it, so tell the owner exactly where to click.
- Pin the repo on the organisation profile and on the maintainer's personal profile.
- Canonical write-up. Publish a long-form post on a domain you own before any community post. Community posts link to it, not to the bare repo. If the repo makes a measurable claim, put a results table in the post: structured tables from independent-looking domains are what comparison-style AI answers tend to cite [observed].
- Launch in the order in
references/distribution-sequence.md. Order matters; each step produces the artifact the next needs. - Upstream galleries and awesome-lists only once the repo is complete and has real stars. Maintainers reject cold, thin submissions.
- Claude plugin directory. If the repo ships a Claude plugin, follow
references/claude-plugin-directory.mdfor the submission portal, Validate findings and the other plugin distribution routes.
Step B: MCP server checklist (after Step A)
Start with references/mcp-install-and-metadata.md: choose the package type (npm, PyPI, OCI and
others each have their own ownership check), complete server.json including websiteUrl, and
lay out the README install routes per client. Then use references/mcp-registry-checklist.md. It covers the Official MCP Registry (server.json
plus the mcp-publisher CLI), Smithery, Glama, mcp.so, mcpservers.org, Cursor Directory, which
registries auto-ingest from the Official one, and common gotchas (stale listings under a personal
account, publish order, domain presence). Pitfalls from real runs (org namespace 403, OCI
build and label, leaked-history scrub) are in the install reference.
What not to do
- Do not buy stars or run star-for-star swaps. The one visible signal is also the one that gets accounts banned.
- Do not post identical promotional text across subreddits, and do not post in r/programming or r/webdev (see the distribution reference for the posture).
- Do not budget citation lift on
llms.txt. It is a 20 minute add, not a strategy [observed: a cited study found 97% of such files got zero AI-agent requests]. - Do not publish a benchmark that documents an unfixed live defect in someone's shipping product. Fix it first, then publish the general finding.
- Do not keyword-stuff the About box or topics. Every keyword must be defensible and accurate.
- Do not state registry behaviour or ranking mechanics as fact without a source. Flag it as an assumption.
Reporting back
When you finish, give the owner three lists: what you changed, what only they can do (social preview upload, pinning, account-bound registry logins), and which advice is verified, observed or general.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

