个人作者

Ori Nachum

AI Expert, Tipalti, a Jetson AI Lab community leader, AWS Community Builder, A maintainer of dusty-nv/jetson-containers, Culture.dev and other OSS

机构 · Tipalti更新于 2026-04-09

Skills
13
仓库
1
职业覆盖
1
场景覆盖
3
Stars
★ 245

Ori Nachum 的 Skills 13

OriNachum
OriNachum/autonomous-intelligence

test

Run TTS round-trip tests — pure-logic unit tests and optional integration tests against live TTS/STT services.

测试与质量
★ 245
OriNachum
OriNachum/autonomous-intelligence

speak

Speak text aloud using the Magpie TTS container in the realtime-api Docker stack. Zero external dependencies — just curl + aplay.

★ 245
OriNachum
OriNachum/autonomous-intelligence

deploy

Build and deploy the realtime-api Docker container with full verification that deployed code matches local source.

开发工程师运维与部署
★ 245
OriNachum
OriNachum/autonomous-intelligence

memory

Unified memory management for notes, knowledge graph, RAG search, and file analysis. Use when working with: (1) Core memory — protected identity, projects, relationships, and system facts that should never be forgotten, (2) Working notes — per-session ephemeral notes organized by section, (3) MongoDB RAG — vector-search-enabled notes with importance scoring, decay, deduplication, and archival, (4) Neo4j knowledge graph — entities, relationships, merge duplicates, reinforce mentions, Cypher queries, (5) File analysis — deep file reading that extracts knowledge into all memory layers, (6) Service initialization — health-check, start/stop MongoDB, Neo4j, TEI embeddings via docker-compose with partial setup support.

运维与部署资料检索与研究
★ 245
OriNachum
OriNachum/autonomous-intelligence

coding

Enhanced coding assistance

开发工程师
★ 245
OriNachum
OriNachum/autonomous-intelligence

memory

Unified memory management for notes, knowledge graph, RAG search, and file analysis. Use when working with: (1) Core memory — protected identity, projects, relationships, and system facts that should never be forgotten, (2) Working notes — per-session ephemeral notes organized by section, (3) MongoDB RAG — vector-search-enabled notes with importance scoring, decay, deduplication, and archival, (4) Neo4j knowledge graph — entities, relationships, merge duplicates, reinforce mentions, Cypher queries, (5) File analysis — deep file reading that extracts knowledge into all memory layers, (6) Service initialization — health-check, start/stop MongoDB, Neo4j, TEI embeddings via docker-compose with partial setup support.

运维与部署资料检索与研究
★ 245
OriNachum
OriNachum/autonomous-intelligence

test-on-finish

暂无简介

测试与质量
★ 245
OriNachum
OriNachum/autonomous-intelligence

plan

Generates a detailed architectural or execution plan and saves it to docs/plan/. Use this ONLY when the user explicitly asks to "plan" or "create a plan".

★ 245
OriNachum
OriNachum/autonomous-intelligence

neo4j-query

Query Neo4j knowledge graph for entities, relationships, and graph analysis.

★ 245
OriNachum
OriNachum/autonomous-intelligence

mongodb-query

Query MongoDB notes store for memory analysis and statistics.

★ 245
OriNachum
OriNachum/autonomous-intelligence

implement

Reads a specific plan from docs/plan/ and executes the code changes described within it. Use this when the user says "implement the plan" or "execute the plan".

★ 245
OriNachum
OriNachum/autonomous-intelligence

call-qq

Calls qq agent from cli.

★ 245
OriNachum
OriNachum/autonomous-intelligence

playground

Creates interactive HTML playgrounds — self-contained single-file explorers that let users configure something visually through controls, see a live preview, and copy out a prompt. Use when the user asks to make a playground, explorer, or interactive tool for a topic.

Skill与智能体开发
★ 245