translink-cli

Query, troubleshoot, and explain Translink SEQ GTFS static + realtime data using local translink_* commands or plugin slash commands. Use for schedule lookups, stop/route/trip joins, vehicle/trip realtime checks, alerts, schema drift review, PK/FK reasoning, and paginated filtering.

3,891 stars

byopenclaw

View on GitHub Installation ↓

Best use case

translink-cli is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Teams using translink-cli should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

You only need a quick one-off answer and do not need a reusable workflow.
You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/translink-cli/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/alanburchill/translink-cli/SKILL.md"

Manual Installation

Download SKILL.md from GitHub
Place it in .claude/skills/translink-cli/SKILL.md inside your project
Restart your AI agent — it will auto-discover the skill

How translink-cli Compares

Feature / Agent	translink-cli	Standard Approach
Platform Support	Not specified	Limited / Varies
Context Awareness	High	Baseline
Installation Complexity	Unknown	N/A

Frequently Asked Questions

What does this skill do?

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

AI Agents for Coding

Browse AI agent skills for coding, debugging, testing, refactoring, code review, and developer workflows across Claude, Cursor, and Codex.

Best AI Skills for Claude

Explore the best AI skills for Claude and Claude Code across coding, research, workflow automation, documentation, and agent operations.

Cursor vs Codex for AI Workflows

Compare Cursor and Codex for AI coding workflows, repository assistance, debugging, refactoring, and reusable developer skills.

SKILL.md Source

# Translink CLI Skill

Use when working with Translink data in this environment.

## Prerequisite

This skill requires the Translink CLI scripts to be installed and available in PATH.

- CLI repo: `https://github.com/alanburchill/traslink-cli-scripts`
- Expected commands: `translink_*` (or equivalent wrappers that expose the same command names)

If the CLI is not installed, stop and ask the user to install it first.

## Command surfaces

- Shell CLI: `translink_*`
- Plugin slash commands: `/translink_*` and `/translink <command> [args...]`

## Core workflow

1. Refresh or validate cache/schema with `translink_schedule_refresh` when freshness is uncertain.
2. Query with shared parameters (`--where`, `--contains`, `--in`, `--page`, `--per-page`, etc.).
3. On strict field errors, use fuzzy suggestions in the JSON error payload to auto-correct.
4. Use PK/FK references for joins across routes/trips/stops/stop_times/calendar/shapes.
5. For authoritative current schema, read generated schema docs first.

## Shared parameter contract

All commands support:
- `--where field=value` (repeatable)
- `--contains field=text` (repeatable)
- `--in field=v1,v2,...` (repeatable)
- `--fields a,b,c`
- `--sort field`
- `--order asc|desc`
- `--page N`
- `--per-page N` (default 20)
- `--format table|json|csv`
- `--count-only`

Realtime extras:
- `--expand` (include nested JSON fields)
- `--raw` (include full raw entity JSON)
- `--time epoch|iso`

Schedule extras:
- `--refresh`
- `--schema`

## Runtime behavior

- Static cache: `~/.openclaw/cache/translink/`
- TTL: 24h
- Daily refresh cron (example): 5:00 AM local time (`translink:schedule-refresh`)
- Refresh lock prevents concurrent extract races.
- Schema is header-driven and auto-adapts to added columns.

## Read these references as needed

- `references/commands.md` — command/param/error contract
- `references/usage.md` — examples
- `references/relationships.md` — PK/FK joins
- `references/schema-generated.md` — auto-generated live schema (authoritative)
- `references/column-meanings.md` — GTFS field semantics

Related Skills

---

3891

from openclaw/skills

name: article-factory-wechat

Content & Documentation

humanizer

3891

from openclaw/skills

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

Content & Documentation

find-skills

3891

from openclaw/skills

Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.

General Utilities

tavily-search

3891

from openclaw/skills

Use Tavily API for real-time web search and content extraction. Use when: user needs real-time web search results, research, or current information from the web. Requires Tavily API key.

Data & Research

baidu-search

3891

from openclaw/skills

Search the web using Baidu AI Search Engine (BDSE). Use for live information, documentation, or research topics.

Data & Research

agent-autonomy-kit

3891

from openclaw/skills

Stop waiting for prompts. Keep working.

Workflow & Productivity

Meeting Prep

3891

from openclaw/skills

Never walk into a meeting unprepared again. Your agent researches all attendees before calendar events—pulling LinkedIn profiles, recent company news, mutual connections, and conversation starters. Generates a briefing doc with talking points, icebreakers, and context so you show up informed and confident. Triggered automatically before meetings or on-demand. Configure research depth, advance timing, and output format. Walking into meetings blind is amateur hour—missed connections, generic small talk, zero leverage. Use when setting up meeting intelligence, researching specific attendees, generating pre-meeting briefs, or automating your prep workflow.

Workflow & Productivity

self-improvement

3891

from openclaw/skills

Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'), (3) User requests a capability that doesn't exist, (4) An external API or tool fails, (5) Claude realizes its knowledge is outdated or incorrect, (6) A better approach is discovered for a recurring task. Also review learnings before major tasks.

Agent Intelligence & Learning

botlearn-healthcheck

3891

from openclaw/skills

botlearn-healthcheck — BotLearn autonomous health inspector for OpenClaw instances across 5 domains (hardware, config, security, skills, autonomy); triggers on system check, health report, diagnostics, or scheduled heartbeat inspection.

DevOps & Infrastructure