Entity Optimizer
aiskillstore/marketplace
A skill your agent uses when the user asks to "optimize entity presence", reconcile an entity identity, or update canonical Knowledge Graph facts; audits and maintains machine-facing identity…
Build and query an evidence-lined GEO knowledge graph from approved source bundles.
Install Geo Knowledge
$ npx skills add yaojingang/GEOHub --skill geo-knowledge -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yaojingang/GEOHub geo-knowledge --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/yaojingang/GEOHub.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/geo-knowledge .claude/skills/geo-knowledge && 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 "geo-knowledge" agent skill from https://github.com/yaojingang/GEOHub/tree/main/skills/geo-knowledge into .claude/skills/geo-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-knowledge", 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/yaojingang/GEOHub/tree/main/skills/geo-knowledgeType 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 yaojingang/GEOHub --skill geo-knowledge -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yaojingang/GEOHub geo-knowledge --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yaojingang/GEOHub.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/geo-knowledge .agents/skills/geo-knowledge && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "geo-knowledge" agent skill from https://github.com/yaojingang/GEOHub/tree/main/skills/geo-knowledge into .agents/skills/geo-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-knowledge", 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 yaojingang/GEOHub --skill geo-knowledge -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yaojingang/GEOHub geo-knowledge --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yaojingang/GEOHub.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/geo-knowledge .cursor/skills/geo-knowledge && 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 "geo-knowledge" agent skill from https://github.com/yaojingang/GEOHub/tree/main/skills/geo-knowledge into .cursor/skills/geo-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-knowledge", 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/yaojingang/GEOHub.git --path skills/geo-knowledge--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 yaojingang/GEOHub --skill geo-knowledge -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yaojingang/GEOHub geo-knowledge --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yaojingang/GEOHub.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/geo-knowledge .gemini/skills/geo-knowledge && 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 "geo-knowledge" agent skill from https://github.com/yaojingang/GEOHub/tree/main/skills/geo-knowledge into .gemini/skills/geo-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-knowledge", 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 yaojingang/GEOHub geo-knowledgeInstalls 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 yaojingang/GEOHub --skill geo-knowledge -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yaojingang/GEOHub.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/geo-knowledge .github/skills/geo-knowledge && 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 "geo-knowledge" agent skill from https://github.com/yaojingang/GEOHub/tree/main/skills/geo-knowledge into .github/skills/geo-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-knowledge", 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 yaojingang/GEOHub --skill geo-knowledge -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yaojingang/GEOHub geo-knowledge --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yaojingang/GEOHub.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/geo-knowledge .opencode/skills/geo-knowledge && 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 "geo-knowledge" agent skill from https://github.com/yaojingang/GEOHub/tree/main/skills/geo-knowledge into .opencode/skills/geo-knowledge/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "geo-knowledge", 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
geo-knowledge- GitHub stars
- 164
- Token cost
- ~349 tokens
- SKILL.md length
- 126 words
- Files
- 12 (incl. scripts, references)
- Skills in repo
- 9
- Repo updated
- First seen
- Licence
- AGPL-3.0
At a glance
Build and query an evidence-lined GEO knowledge graph from approved source bundles.
- Works in 5 steps: Read references/knowledge-method.md and… → Run python3 scripts/run_knowledge.py… → Inspect canonical identities, aliases,… → …
- Entity normalization
- SKILL.md covers Workflow, Output contract and Boundaries
- Runs Python scripts from its folder; calls python3
What it does
Geo Knowledge is an agent skill from yaojingang/GEOHub. Build and query an evidence-lined GEO knowledge graph from approved source bundles. Use for entity normalization, relation lineage, conflicting fact preservation, incremental source-hash updates, local/global knowledge queries, 知识图谱, 知识库, and 知识治理. Exclude unsourced facts, hidden conflict resolution, autonomous crawling, and external database mutation.
Its SKILL.md is about 350 tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including scripts and reference files (for example `agents/interface.yaml`, `evals/semantic_config.json` and `evals/trigger_cases.json`).
It sits in Knowledge Management, covering AI search optimization, Knowledge graphs and Database schema design. It works with Python. The repository describes itself as: GEOHub: open, evidence-bounded GEO and SEO agent skills for AI Search, with research-grounded discovery, diagnosis, content, measurement, and one-line SEO planning. The licence is AGPL-3.0.
When your agent uses it
- Entity normalization
- Relation lineage
- Conflicting fact preservation
- Incremental source-hash updates
Example prompts
- “/geo-knowledge”
Requirements
- Python 3
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Read references/knowledge-method.md and prepare approved source bundles with stable IDs and SHA-256 hashes.
- Run python3 scripts/run_knowledge.py --input --output .
- Inspect canonical identities, aliases, relation source IDs, validity dates, source coverage, conflicts, and gaps.
- Use the local query for an entity neighborhood or the global query for communities, coverage, conflicts, and gaps.
- For incremental updates, replace only source bundles whose hashes changed and rebuild the governed graph.
What it can do on your machine
Read from SKILL.md and the folder at commit 2210f7f. 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
Ships 1 file in scripts/ (Python), which the agent can run.
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
Geo Knowledge loads about 349 tokens when it runs, and up to ~730 if it reads all its reference files. Until then it costs about 92 tokens; SKILL.md has 126 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); the scripts in this folder are not scanned.
SKILL.md
The full file from yaojingang/GEOHub at commit 2210f7f, republished under its AGPL-3.0 licence (© yaojingang). 126 words, ~349 tokens.
Download SKILL.mdSave it as
.claude/skills/geo-knowledge/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.- name
- geo-knowledge
- description
- Build and query an evidence-lined GEO knowledge graph from approved source bundles. Use for entity normalization, relation lineage, conflicting fact preservation, incremental source-hash updates, local/global knowledge queries, 知识图谱, 知识库, and 知识治理. Exclude unsourced facts, hidden conflict resolution, autonomous crawling, and external database mutation.
GEO Knowledge
Workflow
- Read
references/knowledge-method.mdand prepare approved source bundles with stable IDs and SHA-256 hashes. - Run
python3 scripts/run_knowledge.py --input <request.json> --output <runs-root>. - Inspect canonical identities, aliases, relation source IDs, validity dates, source coverage, conflicts, and gaps.
- Use the local query for an entity neighborhood or the global query for communities, coverage, conflicts, and gaps.
- For incremental updates, replace only source bundles whose hashes changed and rebuild the governed graph.
Output contract
Produce the input snapshot, knowledge-graph.json, query result, evidence ledger, quality report, lineage, and manifest. Read references/output-contract.md before reuse.
Boundaries
Execution stays offline and file-backed. Conflicting approved facts remain visible for human review. The Skill never crawls, logs in, mutates an external knowledge base, or silently selects one conflicting value.
© yaojingang, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 11 other files (scripts, references) in skills/geo-knowledge of yaojingang/GEOHub.
- SKILL.md
- agents/interface.yaml
- evals/output/cases.jsonl
- evals/semantic_config.json
- evals/trigger_cases.json
- manifest.json
- references/knowledge-method.md
- references/output-contract.md
- reports/output_quality_scorecard.md
- reports/skill-ir.json
- reports/trust-report.md
- scripts/run_knowledge.py
Open the folder on GitHubat commit 2210f7f
Compare with similar skills
Geo Knowledge 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 |
|---|---|---|---|---|---|---|
| Geo Knowledge this skillyaojingang/GEOHub | 164 | — | ~349 | Automated safety check: Pass | AGPL-3.0 | |
| Entity Optimizeraiskillstore/marketplace | 430 | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | |
| LLM Wiki Knowledge GraphEgonex-AI/Understand-Anything | 86k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Agoraflancian/agora | 136 | — | ~295 | Automated safety check: Pass | Apache-2.0 | |
| Memory Literary AnalysisFirefoxCSS-Store/FirefoxCSS-Store.github.io | 1k | — | ~4.6k | Automated safety check: Pass | None | |
| Mini Context Graphgithub/awesome-copilot | 40k | 1 repos | ~2k | Automated safety check: Pass | MIT |
Similar skills
LLM Wiki Knowledge Graph
Egonex-AI/Understand-Anything
Detects a Karpathy-pattern LLM wiki and builds an interactive knowledge graph with entities, implicit relationships and topic clusters.
Agora
flancian/agora
Access the Agora Knowledge Commons to search for concepts, resolve [[wikilinks]], and explore the distributed knowledge graph.
Memory Literary Analysis
FirefoxCSS-Store/FirefoxCSS-Store.github.io
Analyze a complete literary work into a structured Basic Memory knowledge graph.
- Official
Mini Context Graph
github/awesome-copilot
A persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern with a structured knowledge graph.
Memory Literary Analysis
basicmachines-co/basic-memory
Analyze a complete literary work into a structured Basic Memory knowledge graph.
More from yaojingang/GEOHub
All 9 skills in this repoGeo Discover
yaojingang/GEOHub
Discover evidence-aware GEO questions, query rewrites, intent clusters, and prioritized content opportunities from a structured brief.
Geo Site Diagnose
yaojingang/GEOHub
Crawl one public website from a supplied URL, select up to ten representative page types, score evidence-lined GEO readiness, and generate a standalone visual HTML report.
Geo
yaojingang/GEOHub
Route GEO and generative engine optimization requests to an available GEOHub capability.
Geo Content
yaojingang/GEOHub
Create evidence-lined GEO titles, explainers, neutral comparisons, method-backed rankings, page blueprints, refinements, and article-friendly Markdown.
Geo Diagnose
yaojingang/GEOHub
Diagnose a brand, website, or page for evidence-backed GEO gaps and opportunities from user-supplied URLs, HTML, or evidence.
Geo Measure
yaojingang/GEOHub
Measure GEO visibility from an approved, file-backed engine observation bundle.
Related
Works with
Categories
Questions about Geo Knowledge
What does Geo Knowledge do?
Build and query an evidence-lined GEO knowledge graph from approved source bundles. Geo Knowledge is an agent skill from yaojingang/GEOHub. Build and query an evidence-lined GEO knowledge graph from approved source bundles.
When should I use Geo Knowledge?
Geo Knowledge fits situations like: entity normalization; relation lineage; conflicting fact preservation; incremental source-hash updates.
How do I install Geo Knowledge in Claude Code?
Run `npx skills add yaojingang/GEOHub --skill geo-knowledge -a claude-code`. Or copy the skill folder (skills/geo-knowledge in yaojingang/GEOHub) into .claude/skills/geo-knowledge in your project. Claude Code loads it when a task matches its description.
How do I install Geo Knowledge in Codex?
Run `npx skills add yaojingang/GEOHub --skill geo-knowledge -a codex`. Or copy the skill folder (skills/geo-knowledge in yaojingang/GEOHub) into .agents/skills/geo-knowledge in your project. Codex loads it when a task matches its description.
Can I use Geo Knowledge 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 yaojingang/GEOHub --skill geo-knowledge -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/geo-knowledge, .gemini/skills/geo-knowledge, .github/skills/geo-knowledge and .opencode/skills/geo-knowledge in your project.
What does Geo Knowledge need to run?
Going by SKILL.md and its folder, Geo Knowledge needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Geo Knowledge 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 Geo Knowledge 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Geo Knowledge use?
Geo Knowledge is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Geo Knowledge use?
About 349 tokens (SKILL.md is roughly 1.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 381 tokens, read only when the agent opens those files.
What are the alternatives to Geo Knowledge?
Skills that share tags, products or a category with Geo Knowledge: Entity Optimizer (aiskillstore/marketplace, 430 stars), LLM Wiki Knowledge Graph (Egonex-AI/Understand-Anything, 86k stars), Agora (flancian/agora, 136 stars) and Memory Literary Analysis (FirefoxCSS-Store/FirefoxCSS-Store.github.io, 1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Geo Knowledge?
yaojingang (a GitHub user) maintains it in yaojingang/GEOHub, which has 164 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on August 31, 2026.
Source: yaojingang/GEOHub on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.