Answer multi-hop questions with a knowledge graph
the answer connects facts that never appear in one chunk (who works in the same department as the CEO's assistant).
Skill by ToXMon
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/toxmon-answer-multi-hop-questions-with-a-knowledge-graph
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Reviews
Write a reviewNo reviews yet. Installed it? Reviews come from verified installers only. How reviews work
Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/answer-multi-hop-questions-with-a-knowledge-graph
What's inside
- Skill name
Answer multi-hop questions with a knowledge graph- Description
- the answer connects facts that never appear in one chunk (who works in the same department as the CEO's assistant). Not for simple fact lookup, corpora under about 100 documents, real-time indexing, or tight index budgets.
- License
- unknown
- Instructions
- 25 lines in SKILL.md · view on GitHub
Agent Skills spec issues
- name: only lowercase letters, digits and single hyphens allowed
- name: "Answer multi-hop questions with a knowledge graph" does not match folder "answer-multi-hop-questions-with-a-knowledge-graph"
Files (1)
- SKILL.md
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
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before embedding.
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Diagnose the five production failure modes
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a demo works on about 10 documents and breaks around 10,000, or answers go wrong in production.
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Cut vector-search cost without a new vendor
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after a workload exists, not before the first prototype.
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Create a Chroma collection and query it
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local vector store for development.
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Cache embedding calls and repeated answers
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the same text is embedded twice, or the same question is asked again.
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Load raw files into LangChain Documents
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before chunking, whenever context comes from files or URLs.
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Assemble a basic LangChain RAG chain
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Bootstrap the course Python project
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starting the local environment the course codes against.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 4, 2026 (24 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- License unknown
- Repository
- github.com/ToXMon/production-rag
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from ToXMon
- 0.551score
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financial reports, technical docs, papers with figures or formulas, contracts, medical records, or anything where tables and charts must survive.
SkillAFreshness: AClaude Code +9 - 0.548score
Compress chunks before the prompt
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long mixed documents where only a paragraph answers the query, and token cost at generation matters more than an extra model call.
SkillAFreshness: AClaude Code +9 - 0.548score
Add hybrid BM25 plus vector search
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Create a Chroma collection and query it
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local vector store for development.
SkillAFreshness: AClaude Code +9 - 0.545score
Cache embedding calls and repeated answers
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the same text is embedded twice, or the same question is asked again.
SkillAFreshness: AClaude Code +9 - 0.545score
Choose a chunking strategy
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before embedding.
SkillAFreshness: AClaude Code +9
Cite this page
Answer multi-hop questions with a knowledge graph skill. Agent Mart. https://agentmart.dev/skills/toxmon-answer-multi-hop-questions-with-a-knowledge-graph (last updated 2026-10-24)