القائمة
Obsidian-compatible knowledge graph with bidirectional links and graph-based retrieval
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Onboard a new client/company onto this platform's real Agentic OS: create the company record, scan its websites/repos, auto-provision specialist agents, activate its 24x7 agency runtime, and know exactly which "OS" building blocks (memory, integrations, dashboard) already exist versus which are roadmap gaps. ADAPTED FROM: a third-party giveaway skill ("agentic-os-installer" by Gennaro Santoro / Operations Heroes) that described a generic vault + Google-suite + skill-pack installer. That skill's product (Obsidian vault, Gmail/Calendar/ Drive wiring, "skill packs") does not exist in this repo and its promotional content (Skool community link) does not belong here. This is a clean-room rewrite that keeps the useful idea — "stand up a working agency OS for a client from a short checklist" — and maps every step to the real module that already implements it in this codebase, per CLAUDE.md architecture rules.
Agile sprint planning, velocity tracking, and burndown metrics for agent-managed projects
Initiative-level portfolio management with dependency tracking and milestone coordination
AI-assisted engineering impact analysis — productivity metrics and code quality insights
Cross-harness agent patterns — standardize agent execution across different coding assistants
Temporal context graph for agent memory — track entity relationships and state changes over time
| name | obsidian-knowledge-graph |
| description | Obsidian-compatible knowledge graph with bidirectional links and graph-based retrieval |
Implements an Obsidian-compatible knowledge graph (agents/knowledge_graph.py) with typed edges,
BFS shortest-path, connected components, and import/export.
from agents.knowledge_graph import KnowledgeGraph, KnowledgeNode, EdgeType
g = KnowledgeGraph()
g.add_node(KnowledgeNode(node_id="n1", label="Python", tags=["language"]))
g.add_node(KnowledgeNode(node_id="n2", label="FastAPI", tags=["framework"]))
g.add_edge("n1", "n2", EdgeType.SUPPORTS)
path = g.shortest_path("n1", "n2") # ["n1", "n2"]
python -m pytest tests/test_knowledge_graph.py -v