shipquick-enterprise
v1.0.1
Published
Enterprise agentic system for building AI agents, workflows, and context layers following the Shipquick Meta-Agentic Architecture
Maintainers
Readme
Shipquick Enterprise Module
Enterprise agentic system for building AI agents, workflows, and context layers.
Version: 1.0.0
Schema: 2.0.0
Created: 2026-01-13
Quick Start
- Configure
config.yamlwith your settings - Activate Shipquick Master:
/shipquickor loadagents/shipquick-master.md - Choose from the menu
Module Contents
Agents (7)
| Agent | Icon | Purpose | |-------|------|---------| | Shipquick Master | 🧙 | Orchestrator | | Prompt Engineer | 📝 | Prompt optimization | | Context Architect | 🧠 | 6-layer context system | | Agent Builder | 🤖 | Agent creation | | Workflow Designer | 🔄 | Step-file workflows | | Security Guardian | 🔒 | Security audits | | LLM Specialist | 🤖 | LLM integration |
Workflows (7)
| Workflow | Steps | Agent | |----------|-------|-------| | create-agent | 5 | agent-builder | | create-workflow | 5 | workflow-designer | | create-context-layer | 3 | context-architect | | security-review | 4 | security-guardian | | llm-integration | 3 | llm-specialist | | improve-prompt | 2 | prompt-engineer | | create-system-prompt | 3 | prompt-engineer |
Tasks (5)
| Task | Purpose | |------|---------| | validate-agent | Validate agent files | | validate-workflow | Validate workflow structure | | validate-context | Validate context schemas | | estimate-tokens | Estimate LLM token usage | | export-config | Export module configuration |
Schemas (6)
| Schema | Layer | |--------|-------| | user-profile | 1 | | goal-context | 2 | | progress-state | 3 | | session-context | 4 | | knowledge-graph | 5 | | interaction-history | 6 |
File Structure
shipquick-enterprise/
├── config.yaml
├── README.md
├── observations.md
├── agents/
│ ├── shipquick-master.md
│ ├── prompt-engineer.md
│ ├── context-architect.md
│ ├── agent-builder.md
│ ├── workflow-designer.md
│ ├── security-guardian.md
│ └── llm-integration-specialist.md
├── workflows/
│ ├── create-agent/
│ ├── create-workflow/
│ ├── create-context-layer/
│ ├── security-review/
│ ├── llm-integration/
│ ├── improve-prompt/
│ └── create-system-prompt/
├── tasks/
│ ├── validate-agent.md
│ ├── validate-workflow.md
│ ├── validate-context.md
│ ├── estimate-tokens.md
│ └── export-config.md
├── schemas/
│ └── *.schema.yaml
├── templates/
│ └── agent.template.md
└── config/
├── agent-manifest.csv
├── workflow-manifest.csv
├── task-manifest.csv
└── schema-manifest.csvKey Concepts
V2.0 Agent Schema
All agents include:
- Metadata (ID, version, timestamps)
- Identity (name, icon, experience)
- Personality traits (5)
- Expertise domains (5)
- Context contracts
- Menu items with exec paths
- Response templates
- Error handling
6-Layer Context System
- User Profile - Stable user info
- Goal Context - Current objectives
- Progress State - Dynamic tracking
- Session Context - Current interaction
- Knowledge Graph - Connected insights
- Interaction History - Past interactions
ODEV Improvement Cycle
All learnings follow: Observe → Document → Embed → Verify
Configuration
Edit config.yaml to customize:
- User name and language
- Output paths
- LLM providers
- Feature flags
License
Part of the Shipquick Meta-Agentic System.
