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Returns a stub weather forecast for a given location. Demo-only catalog filler.
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Discovers and installs agentic skills from the customer API hub. Two modes — (1) SEARCH AND INSTALL one matching skill by natural-language query, verifying its ed25519 signature against the trust root(s) installed under keys/; (2) LIST every available skill in the catalog as a markdown table, with cursor pagination, so the user can browse what's offered before installing.
Publishes a local skill directory to the API hub catalog and the GCS bundle store. Runs the four-step author pipeline end to end, packing the source tree into a deterministic .skill zip, signing the manifest with an ed25519 private key, uploading the zip to GCS, and registering the signed manifest with API hub as an API plus Version plus Spec triple along with its four attribute values. Idempotent by design; re-running with identical inputs produces byte-identical output. Includes a bootstrap mode for first-time self-publication.
Teaches an LLM agent to scaffold, configure, validate, package, upload, and deploy Apigee X / hybrid API proxies by orchestrating the 18 MCP tools exposed by the apigee-proxy-skill MCP server. The agent never writes XML by hand — tools generate policy XML from 25 Jinja2 templates, validate bundles with defusedxml, package with a 10 MB ceiling, and surface every failure as a closed-set ErrorKind envelope.
Based on SOC occupation classification
Showing SKILL.md
| name | weather-lookup |
| description | Returns a stub weather forecast for a given location. Demo-only catalog filler. |
| license | Apache-2.0 |
| compatibility | opencode |
| metadata | {"runtime_iam":[]} |
Use this skill when the user asks for the weather, temperature, or forecast for a named city or region (for example, "what's the weather in Tokyo?").
This is a demonstration skill. It does not consult any live
meteorology API and ships no helper script; the agent surfaces
a canned forecast inline so the demo catalog has a second skill
to rank against apigee-policy-top10 without consuming external
quota.
When invoked, do this:
weather-lookup: stub forecast -- <city>: <temperature>, <condition>
using a plausible canned reading (e.g. Tokyo: 21C, partly cloudy).runtime_iam permissions.