geo-gap-fixer
Audit how often LLMs recommend your brand vs competitors and generate a GEO action plan.
npx skills add Varnan-Tech/opendirectory --skill geo-gap-fixer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# GEO Gap Fixer > Agent skill that audits LLM brand visibility and converts gaps into a > concrete GEO content action plan. --- ## When to Use Use this skill when a user wants to audit their Generative Engine Optimization (GEO) share-of-voice to know which LLM prompts their brand is losing, understand why competitors are recommended instead, and get a specific content fix plan. **Do NOT use this skill for**: general SEO audits, paid ad optimization, or continuous social media monitoring. This is a point-in-time LLM visibility audit. --- ## Step 1: Inputs To run the audit, the user must provide API keys and a configuration file. Ensure the following are set up: 1. **API Keys**: At least 2 of 4 keys must be set in the environment or `.env` file (`OPENAI_API_KEY`, `ANTHROPIC_API_KEY`, `GOOGLE_API_KEY`, `PERPLEXITY_API_KEY`). 2. **Dependencies**: `pip install openai anthropic google-genai` 3. **Config File**: `config.json` (copied from `config.example.json`) must contain: - `brand_name` (string, required) - `competitors` (list of strings, required, 1-10 entries) - `category` (string, required) - `buyer_intent_prompts` (list of strings, optional. If empty, 20 prompts are auto-generated)
- When to Use
- Step 1: Inputs
- Step 2: Execution Pipeline
- Step 3: Outputs & Interpretation
- Step 4: Error Handling
What does the geo-gap-fixer skill do?
Audit how often LLMs recommend your brand vs competitors and generate a GEO action plan.
How do I install it?
Run `npx skills add Varnan-Tech/opendirectory --skill geo-gap-fixer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From Varnan-Tech/opendirectory, a repository with 571 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.