alhazen-core
REQUIRED FIRST — starts TypeDB + dashboard via Docker, loads the Alhazen base schema.
Skill by sciknow-io
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: devops, data
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/alhazen-core
What's inside
- Skill name
alhazen-core- Description
- REQUIRED FIRST — starts TypeDB + dashboard via Docker, loads the Alhazen base schema. Must install before any other Alhazen skill.
- License
- MIT
- Instructions
- 66 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (14)
- plugin.json · .claude-plugin/
- Dockerfile.dashboard
- SKILL.md
- USAGE.md
- alhazen_core.py
- alhazen_notebook.tql
- init.md · commands/
- status.md · commands/
- docker-compose.alhazen.yml
- hooks.json · hooks/
- pyproject.toml
- skill.yaml
- SKILL.md · skills/alhazen-core/
- uv.lock
SKILL.md (first lines)
# Alhazen Core
**Install and initialize this skill before any other Alhazen skill.**
Starts the shared infrastructure via Docker Compose: TypeDB (knowledge graph database) + Dashboard (web UI for visualizing skill data). Loads `alhazen_notebook.tql` (the base schema that all domain skills extend).
**When to use:** First-time setup, infrastructure health checks, wiring skill dashboards, resetting the database.
## Prerequisites
- Docker must be running
- `uv` must be installed
## Quick Start
```bash
# Initialize TypeDB + dashboard (idempotent — safe to re-run)
uv run --project <skill-path> python <skill-path>/alhazen_core.py init
# Check status
uv run --project <skill-path> python <skill-path>/alhazen_core.py status
```
After init:
- TypeDB is available at `localhost:1729`
- Dashboard is available at `http://localhost:3001`
## Dashboard Workflow
The dashboard starts empty (just a hub page). After installing skills that have dashboards, wire them in and rebuild:
```bash
# 1. Wire a skill's dashboard into the container
uv run --project <skill-path> python <skill-path>/alhazen_core.py wire-dashboard \
--skill-name jobhunt \
--dashboard-dir /path/to/jobhunt/dashboard \
--display-name "Jobhunt" \
--icon Briefcase \
--color indigo
# 2. Repeat for each skill with a dashboard...
# 3. Rebuild once (takes 30-60s)
uv run --project <skill-path> python <skill-path>/alhazen_core.py rebuild-dashboard
# 4. Check what's wired
uv run --project <skill-path> python <skill-path>/alhazen_core.py dashboard-status
```
When the user says "rebuild the dashboard", run steps 1-3 for each installed skill that has a `dashboard/` directory.
## Commands
| Command | Description |
|---------|-------------|
| `init` | Start TypeDB + dashboard, create database, load base schema |
| `load-schema FILE.tql` | Load additional schema into existing database |
| `wire-dashboard --skill-name X --dashboard-dir Y` | Copy skill's dashboard files into container |
| `rebuild-dashboard` | Rebuild Next.js inside dashboard container |
| `dashboard-status` | Show which skills are wired into the dashboard |
| `status` | Check TypeDB + dashboard container state |
| `reset --yes` | Drop and recreate the database (destroys data) |
**Read `USAGE.md` for troubleshooting and advanced usage.**From sciknow-io/skillful-alhazen, MIT.
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Signals
- Stars
- 24
- Forks
- 3
- Open issues
- 17
- Last commit (this folder)
- Jul 9, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/sciknow-io/skillful-alhazen
- Website
- sciknow.io/alhazen
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
alhazen-core skill. Agent Mart. https://agentmart.dev/skills/sciknow-io-alhazen-core (last updated 2026-10-24)