# Send London public transport journey planner and disruptions to your agent Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually. ## Fast path - Download the package from Yavira. - Extract it into a folder your agent can access. - Paste one of the prompts below and point your agent at the extracted folder. ## Suggested prompts ### New install ```text I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete. ``` ### Upgrade existing ```text I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run. ``` ## Machine-readable fields ```json { "schemaVersion": "1.0", "item": { "slug": "transport-for-london-journey-disruption", "name": "London public transport journey planner and disruptions", "source": "tencent", "type": "skill", "category": "数据分析", "sourceUrl": "https://clawhub.ai/diegopetrucci/transport-for-london-journey-disruption", "canonicalUrl": "https://clawhub.ai/diegopetrucci/transport-for-london-journey-disruption", "targetPlatform": "OpenClaw" }, "install": { "downloadUrl": "/downloads/transport-for-london-journey-disruption", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=transport-for-london-journey-disruption", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "packageFormat": "ZIP package", "primaryDoc": "SKILL.md", "includedAssets": [ "scripts/tfl_journey_disruptions.py", "SKILL.md" ], "downloadMode": "redirect", "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-23T16:43:11.935Z", "expiresAt": "2026-04-30T16:43:11.935Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/transport-for-london-journey-disruption" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] } }, "links": { "detailUrl": "https://openagent3.xyz/skills/transport-for-london-journey-disruption", "downloadUrl": "https://openagent3.xyz/downloads/transport-for-london-journey-disruption", "agentUrl": "https://openagent3.xyz/skills/transport-for-london-journey-disruption/agent", "manifestUrl": "https://openagent3.xyz/skills/transport-for-london-journey-disruption/agent.json", "briefUrl": "https://openagent3.xyz/skills/transport-for-london-journey-disruption/agent.md" } } ``` ## Documentation ### TfL Journey Planner + Disruption Checks Use this skill when the user wants a TfL journey plan and needs disruption awareness. Reference: https://tfl.gov.uk/info-for/open-data-users/api-documentation ### Script helper Use scripts/tfl_journey_disruptions.py for a quick journey + disruption check. Examples: python3 scripts/tfl_journey_disruptions.py \\"940GZZLUSTD\\" \\"W1F 9LD\\" --depart-at 0900 python3 scripts/tfl_journey_disruptions.py --from \\"Stratford\\" --to \\"W1F 9LD\\" --arrive-by 1800 Notes: If the API returns disambiguation options, pick one and retry with its parameterValue. If you have TfL API keys, set TFL_APP_ID and TFL_APP_KEY in the environment. ### Inputs to collect From: postcode, stop/station name, place name, or lat,lon To: postcode, stop/station name, place name, or lat,lon Time + intent: depart at or arrive by (and date if not explicit) Optional: mode or accessibility constraints if the user mentions them If any of these are missing or ambiguous, ask the user for clarification. ### Resolve locations Prefer postcodes when available. Otherwise, resolve place names and stations: If input looks like a UK postcode, use it directly as {from} or {to}. If input is lat,lon, use as-is. If input is a stop or station name, try StopPoint/Search/{query} and choose a hub or the relevant NaPTAN ID. If the search or journey result returns disambiguation, show the top options (common name + parameterValue) and ask the user to pick. When unsure, ask a clarifying question rather than guessing. ### Plan journeys Call: /Journey/JourneyResults/{from}/to/{to}?date=YYYYMMDD&time=HHMM&timeIs=Depart|Arrive Guidelines: If the user says "arrive by" use timeIs=Arrive; otherwise default to Depart. If the date is not provided, ask. If the user implies "now", you can omit date/time. ### Extract candidate routes From the response, take the first 1-3 journeys. For each, capture: Duration and arrival time Public transport legs (mode, line name, direction) Line IDs for disruption checks Line IDs usually appear in leg.routeOptions[].lineIdentifier.id or leg.line.id. Ignore walking legs. ### Disruption checks For each journey, collect unique line IDs and call: /Line/{ids}/Status Treat a route as disrupted if any line status is not "Good Service" or includes a reason. Summarize the severity and reason. Optionally, check station-specific issues with /StopPoint/{id}/Disruption when relevant. ### Response strategy If the top route has no disruptions, recommend it and say no active disruptions were found. If the top route is disrupted, warn first, then propose 1-2 alternative routes from other journeys. If all routes are disrupted, still recommend the best option but list the disruption warnings and alternatives. If the journey is for a future time (later today or another day), note that disruption statuses are current and may change by the travel time (for example: "Minor Delays now; this may change by morning"). Always invite the user to confirm a route or provide clarifications. ## Trust - Source: tencent - Verification: Indexed source record - Publisher: diegopetrucci - Version: 1.0.1 ## Source health - Status: healthy - Source download looks usable. - Yavira can redirect you to the upstream package for this source. - Health scope: source - Reason: direct_download_ok - Checked at: 2026-04-23T16:43:11.935Z - Expires at: 2026-04-30T16:43:11.935Z - Recommended action: Download for OpenClaw ## Links - [Detail page](https://openagent3.xyz/skills/transport-for-london-journey-disruption) - [Send to Agent page](https://openagent3.xyz/skills/transport-for-london-journey-disruption/agent) - [JSON manifest](https://openagent3.xyz/skills/transport-for-london-journey-disruption/agent.json) - [Markdown brief](https://openagent3.xyz/skills/transport-for-london-journey-disruption/agent.md) - [Download page](https://openagent3.xyz/downloads/transport-for-london-journey-disruption)