Geo Fundamentals
wasp-lang/wasp
Generative Engine Optimization for AI search engines (ChatGPT, Claude, Perplexity).
AI citation readiness audit ONLY (does not touch Google rankings, use blog-rewrite for combined Google+AI work).
Install Blog Geo
$ npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill blog-geo -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Infrasity-Labs/dev-gtm-claude-skills blog-geo --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/blog-geo .claude/skills/blog-geo && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "blog-geo" agent skill from https://github.com/Infrasity-Labs/dev-gtm-claude-skills/tree/main/.claude/skills/blog-geo into .claude/skills/blog-geo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "blog-geo", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Infrasity-Labs/dev-gtm-claude-skills/tree/main/.claude/skills/blog-geoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill blog-geo -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Infrasity-Labs/dev-gtm-claude-skills blog-geo --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/blog-geo .agents/skills/blog-geo && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "blog-geo" agent skill from https://github.com/Infrasity-Labs/dev-gtm-claude-skills/tree/main/.claude/skills/blog-geo into .agents/skills/blog-geo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "blog-geo", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill blog-geo -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Infrasity-Labs/dev-gtm-claude-skills blog-geo --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/blog-geo .cursor/skills/blog-geo && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "blog-geo" agent skill from https://github.com/Infrasity-Labs/dev-gtm-claude-skills/tree/main/.claude/skills/blog-geo into .cursor/skills/blog-geo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "blog-geo", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Infrasity-Labs/dev-gtm-claude-skills.git --path .claude/skills/blog-geo--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill blog-geo -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Infrasity-Labs/dev-gtm-claude-skills blog-geo --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/blog-geo .gemini/skills/blog-geo && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "blog-geo" agent skill from https://github.com/Infrasity-Labs/dev-gtm-claude-skills/tree/main/.claude/skills/blog-geo into .gemini/skills/blog-geo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "blog-geo", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Infrasity-Labs/dev-gtm-claude-skills blog-geoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill blog-geo -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/blog-geo .github/skills/blog-geo && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "blog-geo" agent skill from https://github.com/Infrasity-Labs/dev-gtm-claude-skills/tree/main/.claude/skills/blog-geo into .github/skills/blog-geo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "blog-geo", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill blog-geo -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Infrasity-Labs/dev-gtm-claude-skills blog-geo --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Infrasity-Labs/dev-gtm-claude-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/blog-geo .opencode/skills/blog-geo && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "blog-geo" agent skill from https://github.com/Infrasity-Labs/dev-gtm-claude-skills/tree/main/.claude/skills/blog-geo into .opencode/skills/blog-geo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "blog-geo", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
blog-geo- GitHub stars
- 136
- Token cost
- ~2.3k tokens
- SKILL.md length
- 922 words
- Files
- 1
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- MIT
At a glance
AI citation readiness audit ONLY (does not touch Google rankings, use blog-rewrite for combined Google+AI work).
- Works in 10 steps: Read Content → Passage-Level Citability (4 pts) → Q&A Formatting (3 pts) → …
- The user wants their content to rank in ChatGPT
- SKILL.md covers Cross-reference, Key Research Data and Audit Process
- Calls python3
What it does
Blog Geo is an agent skill from Infrasity-Labs/dev-gtm-claude-skills. AI citation readiness audit ONLY (does not touch Google rankings, use blog-rewrite for combined Google+AI work). Use whenever the user wants their content to rank in ChatGPT, Perplexity, Claude, Gemini, or Google AI Overviews. AI citation optimization audit scoring blog posts for ChatGPT, Perplexity, and Google AI Overview citability. Evaluates passage-level citability, Q&A formatting, entity clarity, structured data, and AI crawler accessibility. Generates citation capsules and a 0-100 AI Citation Readiness…
Its SKILL.md is about 2.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Marketing & SEO, covering AI search optimization and Web search. It works with OpenAI and Perplexity. The repository describes itself as: Open-source Claude skills for GEO, AI discoverability, and developer GTM workflows. Built for developer-focused companies that want their documentation to be found, parsed, and… The licence is MIT.
When your agent uses it
- The user wants their content to rank in ChatGPT
- Google AI Overviews
- Ai optimization
- Perplexity optimization
Example prompts
- “ai citation”
- “ai optimization”
- “citation audit”
- “/blog-geo”
Requirements
- Python 3
Workflow steps
10 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 02cfefb. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
python3
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Blog Geo loads about 2.3k tokens when it runs. Until then it costs about 165 tokens; SKILL.md has 922 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from Infrasity-Labs/dev-gtm-claude-skills at commit 02cfefb, republished under its MIT licence (© Infrasity-Labs). 922 words, ~2,346 tokens.
Download SKILL.mdSave it as
.claude/skills/blog-geo/SKILL.md (or your agent's skills folder).- name
- blog-geo
- description
- AI citation readiness audit ONLY (does not touch Google rankings, use blog-rewrite for combined Google+AI work). Use whenever the user wants their content to rank in ChatGPT, Perplexity, Claude, Gemini, or Google AI Overviews. AI citation optimization audit scoring blog posts for ChatGPT, Perplexity, and Google AI Overview citability. Evaluates passage-level citability, Q&A formatting, entity clarity, structured data, and AI crawler accessibility. Generates citation capsules and a 0-100 AI Citation Readiness score. Use when user says "geo", "ai citation", "ai optimization", "citation audit", "aeo", "perplexity optimization", "chatgpt citation".
- user-invokable
- true
- argument-hint
- <file-path>
Blog GEO: AI Citation Optimization Audit
Scores blog posts for AI citation readiness across ChatGPT, Perplexity, and Google AI Overviews. Generates citation capsules and a 0-100 AI Citation Readiness score with platform-specific recommendations.
Cross-reference
This skill covers FLOW surface 3 (AI assistant citations: ChatGPT, Perplexity, Claude, Gemini, Copilot, You.com) and contributes to surface 2 (SERP plus AI Overviews). Surface mapping: skills/blog/references/flow-alignment.md.
For directly relevant AI-citation prompts (AI-supporting-pages-rewrite-prompt, ai-detector-test, ChatGPT discovery, visibility prompts), see /blog flow optimize.
Key Research Data
Reference these benchmarks throughout the audit:
- Only 11% of domains cited by both ChatGPT and Perplexity (Digital Bloom, domain-level)
- 80% of LLM citations don't rank in Google's top 100 (Ahrefs)
- Brands 6.5x more likely cited through third-party sources (AirOps)
- 120-180 word sections get 70% more ChatGPT citations (SE Ranking, Nov 2025)
- Comparison tables with
<thead>achieve 47% higher AI citation rates (directional) - Content freshness: 76.4% of top citations updated within 30 days (Ahrefs, ~17M citations)
Audit Process
Step 1: Read Content
Extract from the blog post:
- Full content text and word count
- Heading structure (H1, H2, H3 hierarchy)
- Individual paragraphs and their word counts
- FAQ sections (if present)
- Schema markup (JSON-LD, microdata, RDFa)
- robots.txt mentions or meta robots directives
- Any TL;DR or summary boxes
- Comparison tables and their HTML structure
- Numbered/ordered lists
- Definition-style formatting
Step 2: Passage-Level Citability (4 pts)
Check each section between headings for AI-extractable passages:
| Check | Criteria |
|---|---|
| Word count | Each section contains 120-180 word self-contained passages |
| Context independence | Each passage makes sense extracted from surrounding context |
| Claim structure | Passages contain: specific claim + supporting evidence + source attribution |
| Completeness | Passage answers a question without requiring reader to read adjacent sections |
Scoring: Count passages meeting all criteria vs total sections.
- 4 pts: 80%+ sections have citable passages
- 3 pts: 60-79%
- 2 pts: 40-59%
- 1 pt: 20-39%
- 0 pts: <20%
Step 3: Q&A Formatting (3 pts)
Check heading format and answer structure:
| Check | Criteria |
|---|---|
| Question headings | 60-70% of H2s are phrased as questions |
| Answer-first format | Opening paragraph under each H2 provides a direct answer |
| FAQ section | Dedicated FAQ section with structured question-answer pairs |
Scoring:
- 3 pts: All three criteria met
- 2 pts: Two criteria met
- 1 pt: One criterion met
- 0 pts: None met
Step 4: Entity Clarity (3 pts)
Check topic consistency and disambiguation:
| Check | Criteria |
|---|---|
| Canonical topic | One unambiguous primary topic per page |
| Consistent naming | Same entity name used throughout (no confusing synonyms) |
| Intro statement | Clear topic statement in the introduction paragraph |
| Title-content match | Title accurately reflects the content focus |
Scoring:
- 3 pts: All four criteria met
- 2 pts: Three criteria met
- 1 pt: One or two criteria met
- 0 pts: None met
Step 5: Content Structure for Extraction (3 pts)
Check for AI-extractable content patterns:
| Check | Criteria |
|---|---|
| TL;DR box | 40-60 word standalone summary present at top |
| Comparison tables | Tables with proper HTML <thead> (47% higher citation rate) |
| Ordered lists | Numbered lists for processes and step-by-step instructions |
| Definition formatting | Key terms formatted with clear definition patterns |
| Citation capsules | 40-60 word definitive statements in each major section |
Scoring:
- 3 pts: 4-5 elements present
- 2 pts: 3 elements present
- 1 pt: 1-2 elements present
- 0 pts: None present
Step 6: AI Crawler Accessibility (2 pts)
Check technical requirements for AI crawler indexing:
| Check | Criteria |
|---|---|
| Static HTML | Content rendered in static HTML, not behind JavaScript |
| robots.txt | Allows AI crawlers: GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot |
| Schema in HTML | Schema markup in static HTML, not JS-injected |
| Page size | Reasonable page size within AI crawler limits |
Scoring:
- 2 pts: All criteria met
- 1 pt: Most criteria met but one issue
- 0 pts: Multiple issues blocking AI crawlers
Show full SKILL.md (332 more words)Show less
Step 7: Platform-Specific Analysis
Evaluate the post for each AI platform's citation preferences:
ChatGPT
- Favors "Best X" listicles (43.8% of citations)
- Prefers well-cited, authoritative content
- Recency matters: recent updates get priority
- Domain authority influences citation likelihood
Perplexity
- Favors Reddit sources (6.6% of all citations)
- Rapid content decay: 2-3 day citation window
- Freshness is the most critical factor
- Community-validated content preferred
Google AI Overviews
- Favors Google properties (23% of citations)
- High Domain Rating strongly correlated with citation
- Present in 49% of SERPs
- Prefers content that already ranks well organically
For each platform, provide:
- Current citability rating (High / Medium / Low)
- Specific improvements to increase citation likelihood
- Content format recommendations
Step 8: Generate Citation Capsules
For each H2 section in the post, write a citation capsule:
- Length: 40-60 words, self-contained
- Structure: Specific claim + data point + source attribution
- Purpose: A passage AI could directly quote as a citation
- Format: Present as a suggested addition the author can embed
Example:
According to [Source], [specific claim with number]. This represents
[context/comparison], making it [significance]. [Supporting detail
that reinforces the claim].Generate one capsule per H2 section. Label each with the section heading it belongs under.
Step 9: Calculate AI Citation Readiness Score (0-100)
Map the 15-point subcategory scores to a 0-100 display score:
| Category | Raw Points | Display Weight | Max Display Score |
|---|---|---|---|
| Passage-Level Citability | /4 | x6.75 | 27 |
| Q&A Formatting | /3 | x6.67 | 20 |
| Entity Clarity | /3 | x6.67 | 20 |
| Content Structure | /3 | x6.67 | 20 |
| AI Crawler Accessibility | /2 | x6.5 | 13 |
| Total | /15 | 100 |
Rating thresholds:
- 90-100: Excellent: highly citable by AI systems
- 70-89: Good: citable with minor improvements
- 50-69: Needs Work: significant gaps in citability
- Below 50: Poor: major restructuring needed
Step 10: Generate Report
Output the following report:
## AI Citation Readiness Report: [Title]
**AI Citation Readiness Score: [X]/100**: [Rating]
### Score Breakdown
| Category | Raw | Display | Max |
|----------|-----|---------|-----|
| Passage-Level Citability | X/4 | X | 27 |
| Q&A Formatting | X/3 | X | 20 |
| Entity Clarity | X/3 | X | 20 |
| Content Structure | X/3 | X | 20 |
| AI Crawler Accessibility | X/2 | X | 13 |
| **Total** | **X/15** | **X** | **100** |
### Per-Section Citability Analysis
| Section (H2) | Word Count | Self-Contained | Claim+Evidence | Citable |
|---------------|-----------|----------------|----------------|---------|
| [heading] | [N] | Yes/No | Yes/No | Yes/No |
### Platform-Specific Optimization
#### ChatGPT
- [specific recommendations]
#### Perplexity
- [specific recommendations]
#### Google AI Overviews
- [specific recommendations]
### Generated Citation Capsules
#### [H2 Section 1]
> [40-60 word citation capsule]
#### [H2 Section 2]
> [40-60 word citation capsule]
### Technical Recommendations
- [ ] [Technical fix with specifics]
### Priority Action Items
1. [Most impactful improvement]
2. [Second most impactful]
3. [Third most impactful]
Run `/blog analyze <file>` for full content quality scoring.Optional: Search Performance Context (blog-google)
If blog-google credentials include Tier 1 (GSC) and the post has a published URL:
- Query GSC:
python3 skills/blog-google/scripts/run.py gsc_query --property <property> --filter-page <url> --json - Add to platform-specific analysis:
- Current impressions, clicks, CTR, average position
- Search queries driving traffic to this URL
- Check indexation:
python3 skills/blog-google/scripts/run.py gsc_inspect <url> --json - Report indexation status, canonical selection, mobile usability.
- Falls back silently if not configured.
© Infrasity-Labs, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in .claude/skills/blog-geo of Infrasity-Labs/dev-gtm-claude-skills.
Open the folder on GitHubat commit 02cfefb
Compare with similar skills
Blog Geo next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Blog Geo this skillInfrasity-Labs/dev-gtm-claude-skills | 136 | — | ~2.3k | Automated safety check: Pass | MIT | |
| Geo Fundamentalswasp-lang/wasp | 19k | 9 repos | ~861 | Automated safety check: Pass | MIT | |
| Marketing OsYuzzyuk/marketing-os | 540 | — | ~2.5k | Automated safety check: Pass | MIT | |
| Geoliangdabiao/GEO-Content-Optimizer-Skill | 205 | 1 repos | ~2.3k | Automated safety check: Notes | MIT | |
| Geo Optimizerliangdabiao/GEO-Content-Optimizer-Skill | 205 | — | ~1.1k | Automated safety check: Pass | None | |
| SEO Auditshadcn-labs/agentcn | 490 | — | ~598 | Automated safety check: Pass | MIT |
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Questions about Blog Geo
What does Blog Geo do?
AI citation readiness audit ONLY (does not touch Google rankings, use blog-rewrite for combined Google+AI work). Blog Geo is an agent skill from Infrasity-Labs/dev-gtm-claude-skills. AI citation readiness audit ONLY (does not touch Google rankings, use blog-rewrite for combined Google+AI work).
When should I use Blog Geo?
Blog Geo fits situations like: the user wants their content to rank in ChatGPT; google AI Overviews; ai optimization; perplexity optimization.
How do I install Blog Geo in Claude Code?
Run `npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill blog-geo -a claude-code`. Or copy the skill folder (.claude/skills/blog-geo in Infrasity-Labs/dev-gtm-claude-skills) into .claude/skills/blog-geo in your project. Claude Code loads it when a task matches its description.
How do I install Blog Geo in Codex?
Run `npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill blog-geo -a codex`. Or copy the skill folder (.claude/skills/blog-geo in Infrasity-Labs/dev-gtm-claude-skills) into .agents/skills/blog-geo in your project. Codex loads it when a task matches its description.
Can I use Blog Geo in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Infrasity-Labs/dev-gtm-claude-skills --skill blog-geo -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/blog-geo, .gemini/skills/blog-geo, .github/skills/blog-geo and .opencode/skills/blog-geo in your project.
What does Blog Geo need to run?
Going by SKILL.md and its folder, Blog Geo needs the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Blog Geo access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Blog Geo safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Blog Geo use?
Blog Geo is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Blog Geo use?
About 2.3k tokens (SKILL.md is roughly 9.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Blog Geo?
Skills that share tags, products or a category with Blog Geo: Geo Fundamentals (wasp-lang/wasp, 19k stars), Marketing Os (Yuzzyuk/marketing-os, 540 stars), Geo (liangdabiao/GEO-Content-Optimizer-Skill, 205 stars) and Geo Optimizer (liangdabiao/GEO-Content-Optimizer-Skill, 205 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Blog Geo?
Infrasity-Labs (a GitHub user) maintains it in Infrasity-Labs/dev-gtm-claude-skills, which has 136 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on June 28, 2026.
Source: Infrasity-Labs/dev-gtm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.