at-transport
Query live Auckland Transport (AT) public transport data — stops, departures, service alerts, vehicle positions, routes, and network status.
Skill by thecolab-ai
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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: data, productivity
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md and code. Checked Nov 1, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
- Runs as
- Python package
Network hosts it talks to 2
api.at.govt.nz· found in codecodeload.github.com· found in install command
Files it touches
~/.claude/skills/at-transport
What's inside
- Skill name
at-transport- Description
- Query live Auckland Transport (AT) public transport data — stops, departures, service alerts, vehicle positions, routes, and network status. Use when the task involves Auckland buses, trains, ferries, or real-time transit information.
- License
- MIT
- Compatibility
- Requires Python 3.10+ and network access for live data
- Metadata
- thecolab.auth: api-key · thecolab.pack: nz-public-data · thecolab.risk: medium · thecolab.health: gated · thecolab.writes: false · thecolab.browser: false · thecolab.category: transport · thecolab.cache_ttl: 24h · thecolab.data_class: public · thecolab.maintainer: @adam91holt · thecolab.skill_type: public-api · thecolab.source_url: https://api.at.govt.nz · thecolab.access_mode: public-api · thecolab.source_type: official · thecolab.source_owner: Auckland Transport · thecolab.last_verified: 2026-07-19 · thecolab.schema_version: 1 · thecolab.allowed_domains: api.at.govt.nz
- Instructions
- 189 lines in SKILL.md · view on GitHub
Before installing
- Ships executable scripts
Files (6)
- SKILL.md
- source-notes.md · references/
- cli.py · scripts/
- smoke_test.py · scripts/
- test_contract.py · scripts/
- contract.json · tests/fixtures/
SKILL.md (first lines)
# Auckland Transport ## Goal Query live Auckland public transport data from the AT API through a CLI that is easy for agents to script and easy for humans to scan. Covers real-time departures, service alerts, stop search, nearby stops, vehicle tracking, and network status. ## Use this when - A user asks about Auckland public transport — buses, trains, ferries - A user wants real-time departure information from a specific stop - A user asks about service disruptions or alerts in Auckland - A user wants to find nearby stops or search for a stop by name - A user asks about live vehicle positions on the Auckland network - A user wants a quick overview of Auckland Transport network status ## Do not use this for - Transport outside Auckland / New Zealand - Route planning or journey directions (use AT's journey planner) - Historical schedule data or timetable lookups - Fares or ticketing information - Traffic or road conditions ## Preferred workflow 1. Run `scripts/cli.py` with the narrowest subcommand that answers the task 2. Use default human output for direct answers 3. Use `--json` when another tool or agent needs machine-readable output ## CLI Run with: ```bash python3 skills/at-transport/scripts/cli.py <command> [flags] ``` ### `alerts [--limit N] [--json]` Active service alerts and disruptions across the Auckland network. JSON shape: - `timestamp` - `total_active` - `returned` - `alerts[]` with `id`, `severity_level`, `cause`, `effect`, `header_text`, `description_text`, `active_period`, `informed_entity` Examples: ```bash python3 skills/at-transport/scripts/cli.py alerts python3 skills/at-transport/scripts/cli.py alerts --limit 5 python3 skills/at-transport/scripts/cli.py alerts --json ``` ### `departures <stop_id> [--limit N] [--json]` Real-time departures from a stop. Uses stop code (e.g. `11814`) or full stop ID. Shows route, expected time, and delay. For parent stations, includes all child platform stops. JSON shape: - `stop` with stop details - `total_departures` - `returned` - `departures[]` with `route_id`, `route_short_name`, `route_type`, `trip_id`, `stop_id`, `stop_name`, `direction_id`, `scheduled_time`, `expected_time`, `delay_seconds`, `vehicle_id`, `vehicle_label` Key stop codes: - `11814` — Britomart (bus terminal) - `11815` — Customs St/Britomart - `11895` — Britomart Queens Arcade - `31986` — Britomart Lower Albert Examples: ```bash python3 skills/at-transport/scripts/cli.py departures 11814 python3 skills/at-transport/scripts/cli.py departures 7155 --limit 5 python3 skills/at-transport/scripts/cli.py departures 11814 --json ``` ### `stops <query> [--limit N] [--json]` Search stops by name, code, or ID. Returns matching stops with location and type info. JSON shape: - `query` - `total_matches` - `returned` - `stops[]` with `stop_id`, `stop_code`, `stop_name`, `stop_lat`, `stop_lon`, `location_type`, `parent_station`, `platform_code` Examples: ```bash python3 skills/at-transport/scripts/cli.py stops Britomart python3 skills/at-transport/scripts/cli.py stops Newmarket python3 skills/at-transport/scripts/cli.py stops 7155 --json ``` ### `nearby <lat,lon> [--radius N] [--limit N] [--json]` Find stops near a geographic location. Radius in meters, defaults to 500m. JSON shape: - `location` with `lat`, `lon` - `radius_m` - `total_nearby` - `returned` - `stops[]` with stop details plus `distance_m` Examples: ```bash python3 skills/at-transport/scripts/cli.py nearby --location=-36.844,174.768 python3 skills/at-transport/scripts/cli.py nearby --location=-36.844,174.768 --radius 1000 python3 skills/at-transport/scripts/cli.py nearby --location=-36.844,174.768 --json ``` ### `route <route_id> [--json]` Show details for a specific route. Use full route ID (e.g. `STH-201`).
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Signals
- Stars
- 34
- Forks
- 7
- Open issues
- 10
- Last commit (this folder)
- Jul 19, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/thecolab-ai/.skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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at-transport skill. Agent Mart. https://agentmart.dev/skills/thecolab-ai-at-transport (last updated 2026-10-24)