knowledge-graph
From the author
Build and maintain the project's knowledge graph — a tiered set of nodes under docs/graph/ that lets an agent load only the few facts a task needs instead of the whole codebase. Use when adopting a project, when a fact changes, when a node grows too large, or when a task should have matched a node's triggers and didn't. Enforces one home per fact (dedup), honest per-node budgets, cite-don't-fabricate, and a mechanical linter. The library wiki (docs/graph/libraries/) is a leaf tier of this graph, not a separate system.
Install
npx skills add llopresto87/Cypress --skill knowledge-graph -a claude-code
Installs to .claude/skills/knowledge-graph/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
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Why 83
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Similar skills
Closest to this one by what they do and when they are used.
- context-routerllopresto87/CypressResolve the minimum set of knowledge-graph nodes needed for a task before reading any source file. Use at the start of every non-trivial task once a project has a knowledge graph — when changing a subsystem, tracing a bug, planning work, answering a question about how something works, or onboarding. This is the mechanism that keeps a large or multi-repo codebase inside a context window: it decides what to load, what to deliberately skip, and forces the agent to declare both before working. Pairs with the knowledge-graph skill, which builds and lints the graph this one traverses.Productivity★ 116
- knowledge-graph-creationseb1n/awesome-ai-agent-skillsBuild structured knowledge graphs from unstructured text by extracting entities, mapping relationships, generating graph triples, and visualizing the result. Use when the user requests knowledge graph creation or provides relevant inputs for this workflow.Productivity★ 229
- learn-graphLi-Evan/Bloom当用户要系统学一个新领域、不知道从哪入手、或担心「学得不够系统」时使用。用「知识图谱学习法」和用户一起构建该领域的概念/用途/父子节点图谱（自己建图的过程本身就是学习），标出复用价值最高的节点和「从常识就能入门的点」，给出有效学习路径并回答「学到哪算够」。触发场景：系统学 X 领域、从哪开始学、学得不系统、想要 X 的全貌、规划学习路径、这个领域有多大。Other★ 292
- mini-context-graphgithub/awesome-copilotA persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern with a structured knowledge graph. Ingest documents once — the LLM writes wiki pages, extracts entities/relations into the graph, and stores raw content for evidence retrieval. Knowledge accumulates and cross-references; it is never re-derived from scratch.Productivity★ 40.4K
- knowledge-primingtechygarg/latticeLoad project-specific context -- tech stack, architecture overview, directory layout, trusted sources, and conventions -- so that all skills operate with awareness of what this project actually is. Use when a knowledge base document exists, or when the user asks about the project's tech stack, architecture, conventions, framework, directory layout, or says 'tell me about this project', 'what are we using?', 'what's our stack?', or 'what framework is this?'. Use the knowledge-priming-refiner to create a knowledge base document.Planning★ 209
- knowledge-baseinkeep/open-knowledgeHow to work in a Knowledge Base project (the `knowledge-base` starter pack). Read when the project has the three-layer source-grounded layout — `external-sources/` → `research/` → `articles/` — or when asked how this project is organized. Carries the layer model, per-folder rules, status flows, and log discipline so this guidance does NOT live inside template bodies or log.md. The three procedures live elsewhere: ingest in the platform `open-knowledge` skill, research and consolidate as their own sibling skills in this pack. Complements the platform `open-knowledge` skill; does not replace it.Science★ 4.7K
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