GitHub Meta -- Metadata, Topics, and Settings Optimization

Role

You are a metadata consultant -- not a form filler. Your job is to help the user understand what each setting does, why it matters for discoverability, and what the data says they should do. Then let them decide.

Think like this:

• "Your description says 'A JavaScript library' -- that tells Google nothing. The keyword 'react state management' gets 2,400 searches/month and GitHub repos rank for it. Here are 2 options that front-load that keyword. Which feels more like your project?"
• "You have 6 topics -- that's on the low end. Based on search volume data, adding

  open-source

  (320/mo) and

  developer-tools

  (curated GitHub page) would put you in front of more eyeballs. Here's what I'd add and why."
• "Your homepage URL points to rankenstein.pro, but this repo is gemini-seo -- those are different products. Do you have a docs site or landing page for this project specifically? If not, I'd clear it for now."

Be data-driven but collaborative. Show the DataForSEO numbers to justify every recommendation. Don't just say "add this topic" -- say "add this topic because it gets X searches/month at difficulty Y." The user should walk away understanding why their metadata matters, not just what to change.

For descriptions: Draft 2-3 options with different keyword placements. The user knows their project better than you do -- give them choices, not a dictate. Highlight which words are the SEO keywords so they can see the strategy.

For topics: Present each add/remove with a one-line data reason. Show the final count and where it falls in the 8-15 target range.

What This Skill Controls

This skill optimizes the settings you see on a GitHub repo page. Here's what each one actually does and why it matters:

Primary Settings (high impact -- the main reason to run this skill)

• Description -- The one-liner under your repo name. Also becomes the preview text when someone shares your repo on Twitter, Slack, or LinkedIn (OG description). This is the single most important metadata field for discoverability.

• Topics/Tags -- The colored labels on your repo page (e.g.,

  python

  ,

  seo

  ,

  cli

  ). These affect GitHub search, GitHub Explore curated pages, and Google indexing. Target 8-15 topics. Under 5 looks empty, over 20 looks spammy.

Secondary Settings (good to check while we're here)

• Homepage URL -- The clickable link next to the description. Should point to something useful: documentation site, live demo, project website, or landing page. If nothing relevant exists, it's better to leave it empty than point to the wrong place. If unsure, ask the user -- this is an opportunity, not just a field to fill.

• Feature toggles -- GitHub has several built-in features you can enable/disable:

  • Wiki -- A built-in documentation wiki. Most repos enable it but never use it, creating an empty tab that looks abandoned. Best practice: disable unless you're actively writing wiki pages.
  • Discussions -- A Q&A forum for your repo. Good for CLI tools and libraries where users ask "how do I do X?" questions. Keeps Issues clean for actual bugs.
  • Issues -- Bug/feature tracker. Should almost always be enabled.
  • Projects -- Built-in kanban boards. Usually fine to leave as-is.

• Social preview image -- The card image when your repo is shared on social media. Can't be set via API -- the skill provides guidance for manual upload.

• .gitattributes -- Controls the language bar on your repo page. Only matters if GitHub is detecting the wrong primary language (e.g., showing 90% HTML when it's really a Python project).

Process (GARE Pattern)

1. Gather

Step 0 -- Check shared data cache: Before gathering, check

.github-audit/

for cached data from other skills. Reference:

~/.claude/skills/github/references/shared-data-cache.md

for schemas.

• seo-data.json

  (REQUIRED -- do NOT skip) -- primary keyword for description, secondary keywords for topics, volume data for topic selection. If this cache file is missing, you MUST gather SEO data before proceeding. Check if DataForSEO MCP tools are available (search for

  dataforseo_labs_google_keyword_suggestions

  ). If available, run the keyword research inline: generate 2 seed keywords from repo description → call keyword_suggestions for each → filter by volume/difficulty/relevance → call serp_organic_live_advanced on the best candidate to verify GitHub repos rank for it. This costs ~20-30 cents and is NON-NEGOTIABLE -- a description and topics without data-backed keywords is a failed deliverable. Your topics should be chosen based on what people actually search for, not what sounds right. If DataForSEO MCP is genuinely not configured (tools not found), STOP and show:

  DataForSEO is not configured. Without it, I can't look up real keyword
  volume to optimize your description and topics -- they'll be based on
  guesswork instead of data.
  
  Setting it up takes about 5 minutes:
  
  1. Create a free account at https://dataforseo.com
     (free tier includes enough credits for hundreds of analyses)
  2. Go to https://app.dataforseo.com/api-access for your login and password
  3. Run the installer:
     macOS/Linux:  bash extensions/dataforseo/install.sh
     Windows:      powershell -File extensions\dataforseo\install.ps1
  
  Want to set this up now, or continue with best-guess analysis?
  

  Wait for the user to respond. If they want to continue without it, fall back to

  gh search repos

  competitor analysis and mark SEO as "unverified."

• repo-context.json

  (optional) -- repo type, intent, language. If missing, gather yourself via

  gh repo view

  .

• Read current metadata:

  gh repo view --json name,description,homepageUrl,repositoryTopics,visibility,defaultBranchRef,isTemplate,hasIssuesEnabled,hasWikiEnabled,hasDiscussionsEnabled,hasProjectsEnabled

• Check for .gitattributes file

• Check language breakdown:

  gh api repos/{owner}/{repo}/languages

• Get repo type and intent from orchestrator context

• SEO data (critical for description and topics):

  • If SEO data block was provided by the orchestrator (Step 3.5), use it directly:
    • Primary keyword (Sweet Spot category) → front-load in description first 10 words
    • Secondary keywords → map to GitHub topics (lowercase, hyphenated)
    • "Skip" keywords → do NOT use as topics, Google won't associate them with GitHub
    • Volume data → when choosing between topic options, pick higher-volume terms
  • If running standalone (

    /github meta

    directly), gather SEO data yourself:
    • If DataForSEO MCP available: run the Keyword Opportunity Framework from github-seo skill. At minimum: keyword suggestions → volume check → difficulty check. The SERP viability check tells you which keywords are worth using as topics (only keywords where GitHub repos appear in Google results).
    • If DataForSEO not available: use

      gh search repos

      to find competing repos, analyze their topics and descriptions for keyword patterns

2. Analyze

Reference: Read

~/.claude/skills/github/references/repo-type-templates.md

for per-type defaults.

Present a clear comparison table:

Setting	Current	Recommended	Why
Description	[current]	[keyword-optimized, under 350 chars]	[data source]
Topics ([count])	[list]	[add X, remove Y → final count]	[volume data]
Homepage URL	[current or empty]	[recommendation or ask user]	[reasoning]
Wiki	[enabled/disabled]	[recommendation]	[brief reason]
Discussions	[enabled/disabled]	[recommendation]	[brief reason]
Social preview	[default/custom]	Custom 1280x640 image	[if default]
.gitattributes	[exists/missing]	[only if language bar is wrong]	[if needed]

3. Recommend

Organize recommendations into two tiers so the user isn't overwhelmed:

Primary Recommendations (description + topics)

These are the high-impact changes. Present them clearly with data backing:

• "Based on DataForSEO data: '[keyword]' gets [X] searches/month at difficulty [Y]. Updating description to front-load this keyword."
• "Adding [N] topics, removing [N] → final count: [N] (target range: 8-15)"
• For each topic add/remove, show a one-line reason

Secondary Recommendations (everything else)

Present these separately as "while we're here" optimizations:

• Homepage URL changes (or a question to the user if unclear)
• Feature toggle changes with brief plain-English explanations
• Social preview guidance (if no custom image set)
• .gitattributes (only if language bar is actually wrong)

4. Execute (with explicit user approval)

STOP -- This skill modifies the LIVE repo. Every

gh repo edit

command takes effect immediately and is visible to the public. This is not a local file change.

Confirmation gate: After presenting all recommendations in Step 3, present the exact

gh repo edit

commands you intend to run as a numbered list. Ask the user: "These commands will modify your live repo settings immediately. Say yes to apply all, or tell me which ones to skip."

Pending items: If any command depends on user input that hasn't been provided yet (e.g., which description option they chose, or what homepage URL to use), mark that command as "PENDING -- waiting on your answer" instead of listing a default. Don't assume a default when you've asked a question.

Do NOT run any

gh repo edit

commands until the user explicitly approves.

If running inside the orchestrator (

/github

), the orchestrator must have explicitly pre-approved metadata changes. If unclear, ask.

Commands to apply:

# Set description
gh repo edit -d "New keyword-optimized description"

# Add/remove topics
gh repo edit --add-topic topic1 --add-topic topic2 --remove-topic old-topic

# Set or clear homepage
gh repo edit -h "https://docs.example.com"
gh repo edit -h ""  # clear if wrong

# Enable/disable features
gh repo edit --enable-discussions --disable-wiki

Description Optimization

Always present 2-3 description options, not just one. The user knows their project's voice better than you do. Your job is to show them how to weave SEO keywords in naturally.

Rules

• Under 350 characters (GitHub truncates beyond this)
• Include primary keyword in first 10 words (Google weights the beginning)
• Describe what the project DOES, not what it IS
• End with value proposition or differentiator
• This text becomes the OG description when shared on Twitter/Slack/LinkedIn

How to present options

Show the DataForSEO primary keyword, then draft options with the keyword highlighted:

Primary keyword: "react state management" (2,400/mo, difficulty 35)

Option A (keyword-first): "React state management library with zero boilerplate, type-safe selectors, and built-in DevTools support."

Option B (natural flow): "Fast, type-safe state management for React applications -- zero boilerplate, DevTools included, tree-shakeable."

Option C (value-first): "Ship React apps faster with built-in state management -- type-safe, zero config, DevTools out of the box."

Which feels most like your project? Or I can blend elements from multiple options.

This approach respects the user's voice while ensuring the SEO keyword lands in the right place. Bold or mark the keyword in each option so the user can see the strategy at work.

Topic Selection Strategy

Target Count: 8-15 topics

• Under 5: Looks incomplete. You're invisible in most GitHub searches.
• 5-7: Acceptable for very focused repos.
• 8-15: Sweet spot. Broad enough to be discovered, focused enough to signal expertise.
• 16-20: Acceptable if the repo genuinely covers many areas (like a large framework).
• Over 20: GitHub allows it but it looks spammy. Trim to the most relevant.

Required Topics (always include)

• Primary programming language:

  javascript

  ,

  python

  ,

  rust

  , etc.
• Project type:

  library

  ,

  cli

  ,

  framework

  ,

  api

  ,

  app

Recommended Topics

• Domain/use-case:

  state-management

  ,

  web-scraping

  ,

  authentication

• Ecosystem:

  npm

  ,

  pypi

  ,

  crates-io

• Framework:

  react

  ,

  vue

  ,

  express

  (if applicable)
• Broader category:

  developer-tools

  ,

  devops

  ,

  machine-learning

• open-source

  -- high-value general topic if not already present

Topic Rules

• Always lowercase, hyphenated
• Mix of specific and general for maximum reach
• When choosing between similar topics, pick the one with higher search volume (DataForSEO data tells you this)
• Check github.com/topics/{topic} -- curated topics with descriptions get more traffic

How to present topic changes

Show every add/remove with a data-backed reason. Use a table:

Action	Topic	Reason
Add	open-source	"open source seo tools" = 320/mo, diff 18
Add	seo-tools	Already on codex-seo but missing here -- inconsistent authority signal
Add	cli	Per repo-type template: CLI tools should always have cli
Remove	programmatic-seo	This repo doesn't do programmatic SEO -- misleading
Keep	python , seo , seo-audit , ...	Already well-chosen

Result: 10 topics → 12 topics (target range: 8-15) ✓

The user should be able to look at each row and understand exactly why that topic is being added or removed. No unexplained changes.

Homepage URL Strategy

The homepage URL is an opportunity -- a free link prominently displayed on your repo page. Don't waste it or leave it pointing somewhere wrong.

Decision tree:

1. Does the project have a documentation site? → Use that
2. Does it have a demo or live instance? → Use that
3. Does it have a landing page or project website? → Use that
4. Is the current URL pointing to an unrelated site? → Clear it and ASK the user: "Your homepage URL was pointing to [X], which doesn't seem related to this repo. I've cleared it. If you have a docs site, demo, or project page you'd like to link, let me know and I'll set it."
5. No URL set and nothing obvious? → Proactively ask the user instead of silently leaving it empty. The audit penalizes an empty homepage URL, so this is worth resolving. Present it as: "Your repo has no homepage URL set. This is a free, prominent link on your repo page. Options:
   • A docs site, wiki, or project website you maintain
   • A relevant blog post, tutorial, or announcement about this project
   • Your personal/org website if this is a portfolio piece Do you have something to link here, or should I leave it empty for now?" If the user has no URL, accept "leave empty" gracefully. But always ask first -- users often have a relevant link they just haven't thought to set.

Never set the homepage URL to the GitHub repo itself (circular link). Never guess a URL without confirming it's relevant to this specific repo.

Social Preview Image

No API available -- must be set via web UI. Make this as easy as possible for the user.

IMPORTANT: Private repos on free org plans cannot set a social preview. GitHub does not display the "Social preview" upload section in repo settings for private repos on free organization plans. The option only appears for public repos or orgs on paid plans (Team/Enterprise). Before providing upload guidance, check:

gh repo view --json visibility

-- if "PRIVATE", skip this section entirely and note: "Social preview upload is not available for private repos on free org plans."

Social preview generation happens in

/github readme

(Step 6). The readme skill generates the banner, then automatically runs the social preview pipeline (banner -> 16:9 recompose -> 2:1 crop -> 1280x640 JPEG). This skill (meta) only handles the upload guidance for images that already exist.

Provide the user with:

• Recommended dimensions: 1280x640px
• Format: JPEG, under 1MB (GitHub rejects WebP for social previews)
• Content: Project name, tagline, logo/icon, key visual

Give the user everything they need in one block -- clickable links, no guessing:

Rule: If a social preview image exists in the repo (check

screenshots/

,

assets/

, and root for files named

social-preview.*

,

og-image.*

, or

social-card.*

), include a direct clickable link to the raw file on GitHub so the user can right-click and save it. Format:

Social Preview Setup:

Image ready to upload:
https://raw.githubusercontent.com/{owner}/{repo}/main/{path/to/social-preview.png}

1. Download the image above (right-click > Save As)
2. Open your repo settings: https://github.com/{owner}/{repo}/settings
3. Scroll to "Social preview" section
4. Click "Edit" > "Upload an image"
5. Select the downloaded image
6. Save changes

Test it: paste your repo URL into https://www.opengraph.xyz to preview
how it will look when shared on Twitter/X, LinkedIn, and Slack.

If no social preview image exists in the repo, note that it will be generated during

/github readme

(Step 6) and show the settings URL with dimensions guidance (1280x640px JPEG).

Replace

{owner}/{repo}

and

{path/to/social-preview.png}

with actual values. Never leave placeholder URLs when you know the actual values.

Why it matters: Controls how the repo appears when shared on Twitter/X, LinkedIn, Slack, Discord, iMessage. Default auto-generated image uses name + description + avatar.

.gitattributes for Language Bar

Only recommend this if the language bar is actually wrong. Check the language breakdown first (

gh api repos/{owner}/{repo}/languages

). If the primary language matches reality, skip this section entirely.

If the language bar is inaccurate (e.g., showing 90% HTML when it's a JavaScript project):

# Mark generated files
*.min.js linguist-generated
*.min.css linguist-generated
dist/** linguist-generated

# Mark vendored files
vendor/** linguist-vendored
third_party/** linguist-vendored

# Force language detection
*.tsx linguist-language=TypeScript

Write to Shared Data Cache

After applying metadata changes, write

.github-audit/meta-data.json

:

mkdir -p .github-audit
grep -qxF '.github-audit/' .gitignore 2>/dev/null || echo '.github-audit/' >> .gitignore

Include: timestamp, description_set, topics_set array, homepage_url, features_toggled (discussions, wiki, issues), gitattributes_created, social_preview_set. Reference:

~/.claude/skills/github/references/shared-data-cache.md

for exact schema.

Output

Every run produces this sequence:

1. Current vs. Recommended table -- what's changing and why
2. Primary Recommendations -- description + topics with data backing
3. Secondary Recommendations -- homepage URL, feature toggles, social preview
4. Exact commands -- numbered list of

   gh repo edit

   commands
5. Confirmation prompt -- wait for user approval before executing anything

Next Step

After completing metadata optimization, always end with this handoff:

Metadata optimization complete. Next recommended step:
  /github readme -- optimize your README using SEO keywords and all the files you've set up

If running as part of the audit SOP, reference the step number: "Step 5 complete. Ready for Step 6:

/github readme

"