skill
orama-system
ὅραμα: The complete agent methodology for solving impossible problems with elegance.
Set up
Skills are installed by placing their folder where your agent loads skills.
The download comes from github.com/diazMelgarejo/orama-system itself, not from our server, so what you get is exactly what its author published.
Install instructions come from the README
README
synced Oct 26, 2026This is the Legacy ὅραμα System
moving to 2.0 on another repo soon
"Technology married with humanities yields solutions that make hearts sing." (Inspired by ultrathink.)
The complete agent methodology for solving impossible problems with elegance.
Architecture Map
ARCHITECTURE.md is the concise routing map for the method, skill-to-graph escalation, evidence boundaries, and the v1-to-v2 separation. It complements the operational guides below; it does not replace them.
Compatible with: Claude Code · Cowork · Clawdbot · MoltBot · OpenClaw · ECC Tools (everything-claude-code) · Cursor · Hermes · Codex · Cline · Kimi · Gemini · Antigravity
What This Is
A production-ready, self-improving agent skill package that synthesizes:
| Component | What it provides |
|---|---|
| ultrathink 5-Stage Methodology | Context → Architecture → Refinement → Execution → Crystallization |
| 6 Core Operational Directives | Plan · Subagents · Self-Improvement · Verification · Elegance · Autonomous Bug Fixing |
| Content Insertion Framework v2 | Simplicity-first ranked approach to data/content operations |
| SKILL.md Architecture Standard | How to author production-grade agent skills |
| Multi-Agent Network | 7 specialized agents for distributed parallel problem solving |
The Amplifier Principle
AI doesn't replace judgment, it amplifies intent: ultrathink gives that intent structure. Clear methodology → clear output. Vague intent → scaled ambiguity.
Quick Start (3 Minutes)
# 1. Install bin/orama-system (Claude Code / Cowork / OpenClaw)
./install.sh
# 2. Activate in Claude
# "ultrathink this"
# "Apply The ὅραμα System to: [your task]"
# 3. Create a task plan
./bin/orama-system/scripts/create_task_plan.sh "Build my feature"
# 4. Verify before marking done
python bin/orama-system/scripts/verify_before_done.py --task "Build my feature"
Repository Structure
orama-system/
│
├── bin/orama-system/ ← Install here for Claude Code / Cowork
│ ├── SKILL.md ← Main intelligence layer (<500 lines)
│ ├── references/ ← Deep-dive documentation
│ │ ├── oramasys-5-stages.md
│ │ ├── core-operational-directives.md
│ │ ├── content-insertion-framework.md
│ │ └── skill-architecture-guide.md
│ ├── scripts/ ← Automation tools
│ │ ├── verify_before_done.py ← Pre-completion verification
│ │ ├── capture_lesson.py ← Self-improvement loop
│ │ └── create_task_plan.sh ← Task plan generator
│ └── templates/ ← Reusable task / lesson templates
│
├── bin/ ← Install here for Clawdbot / OpenClaw
│ ├── agents/ ← 7 specialized agents
│ │ ├── orchestrator/ ← Coordinates 5-stage process
│ │ ├── context/ ← Stage 1: Context Immersion
│ │ ├── architect/ ← Stage 2: Visionary Architecture
│ │ ├── refiner/ ← Stage 3: Ruthless Refinement
│ │ ├── executor/ ← Stage 4: Masterful Execution (parallelizable)
│ │ ├── verifier/ ← Stage 4.5: Verification Before Done
│ │ └── crystallizer/ ← Stage 5: Crystallize the Vision
│ ├── shared/ ← Core types + state + messaging
│ ├── config/ ← Agent registry + routing rules
│ └── mcp_servers/ ← MCP server implementations
│
├── examples/ ← Real-world usage walkthroughs
├── docs/ ← Installation, guides, FAQ
├── portal_server.py ← LAN dashboard for PT, ultrathink, LM Studio, Ollama
├── scripts/ ← Helper scripts (setup, network, install)
├── tests/ ← Full test suite (pytest)
└── .github/ ← CI/CD workflows
Installation
Single-Agent (Most Users)
./install.sh
| Platform | Directory |
|---|---|
| Claude Code | ~/.claude/skills/orama-system/ |
| Cowork | ~/.cowork/skills/orama-system/ |
| ECC Tools | ~/.claude/skills/orama-system/ |
| everything-claude-code | Drop into skills dir |
Multi-Agent Network (Distributed / Parallel)
scripts/install-multi-agent.sh
python bin/mcp_servers/ultrathink_orchestration_server.py
LAN Helpers
# Probe a LAN-friendly host/IP and optionally scan for agents
python scripts/network_autoconfig.py --scan
# Launch the slate-grey portal on port 8002
python portal_server.py
scripts/network_autoconfig.pydetects the preferred local IP and can scan for LM Studio, Ollama, PT, ultrathink, and portal services.portal_server.pyshows a lightweight LAN dashboard for PT, ultrathink, LM Studio, and Ollama endpoints.
The 5-Stage Process
1. Context Immersion — Scan git, docs, patterns, constraints. Understand before acting.
2. Visionary Architecture — Design the most elegant solution. Decompose modularly.
3. Ruthless Refinement — Eliminate everything non-essential. Elegance = nothing left to remove.
4. Masterful Execution — Plan → Craft (TDD) → Verify (programmatic, not visual).
5. Crystallize Vision — Assumptions ledger, simplification story, inevitability argument.
The 6 Operational Directives
Always active, regardless of which stage you're in:
| # | Directive | Trigger |
|---|---|---|
| 1 | 📋 Plan Node Default | Any task with 3+ steps |
| 2 | 🤖 Subagent Strategy | When context window is crowded |
| 3 | 🔄 Self-Improvement Loop | After ANY user correction |
| 4 | ✅ Verification Before Done | Before marking any task complete |
| 5 | ✨ Demand Elegance | When a solution feels hacky |
| 6 | 🔧 Autonomous Bug Fixing | On any bug report |
Multi-Agent Architecture
User → Orchestrator
↓
Context Agent ← Stage 1 (spawns sub-agents)
↓
Architect Agent ← Stage 2 (spawns module designers)
↓
Refiner Agent ← Stage 3 (loops until elegance ≥ 0.8)
↓
┌──────────────────┐
│Executor Agent × 5│ ← Stage 4 (parallel)
└──────────────────┘
↓
Verifier Agent ← Stage 4.5 (blocks until PASS)
↓
Crystallizer Agent ← Stage 5 (documents + captures lessons)
↓
Result + Lessons
Self-Improvement System
# After any mistake or user correction:
python scripts/capture_lesson.py
# Review before starting work:
python scripts/capture_lesson.py --review
# Analyze your mistake patterns:
python scripts/capture_lesson.py --stats
Lessons compound over time. Mistake rate measurably declines.
ECC Tools Integration
This skill follows the SKILL.md open standard and is compatible with ECC Tools (65+ skills, 16 agents, 102 AgentShield security rules).
# Add to your ECC profile
cp -r bin/orama-system ~/.claude/skills/orama-system
# Then use with any ECC-compatible harness
Success Metrics
| Metric | Target |
|---|---|
| Token ROI | > 10:1 |
| Trigger Accuracy | > 95% |
| Boundary Violations | 0 |
| Verification Before Done | 100% |
| Repeat Mistake Rate | < 5% (declining) |
Contributing
See CONTRIBUTING.md. Apply ultrathink to your contributions.
Run ./verify-package.sh before submitting a PR.
High-value contributions: new examples, additional reference docs, platform integrations, lessons-learned patterns, security improvements.
License
MIT License — use freely in commercial and private projects. See LICENSE.
GitHub Topics
ai-agents claude claude-code skill-md prompt-engineering ultrathink
agent-framework ecc-tools openclaw clawdbot mcp self-improving
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