iqair-airvisual-automation
by ComposioHQiqair-airvisual-automation is a Claude skill for IQAir AirVisual Workflow Automation via Composio Rube MCP. It guides agents to search current tools first, verify the iqair_airvisual connection, inspect live schemas, and run approved air-quality operations with less guesswork.
Score: 66/100. This is acceptable for listing because it gives agents enough MCP-specific guidance to trigger IQAir AirVisual automation with less guesswork than a generic prompt, especially around Rube tool discovery and connection setup. Directory users should treat it as a lightweight integration skill rather than a polished workflow package; it depends heavily on live Composio/Rube schemas and external docs.
- Valid frontmatter and a clear description identify the trigger: automating IQAir AirVisual tasks through Rube MCP/Composio.
- Prerequisites and setup steps are explicit, including adding the Rube MCP endpoint, checking RUBE_SEARCH_TOOLS, and activating an iqair_airvisual connection.
- The skill gives agents a useful execution pattern: discover tools first, use returned schemas, and proceed only after confirming an active connection.
- No support files, scripts, examples, or bundled references are provided beyond SKILL.md, so users must rely on live Rube tool discovery and external Composio docs.
- Operational detail for specific IQAir AirVisual tasks appears generic; the skill emphasizes searching current schemas rather than documenting concrete end-to-end air-quality workflows.
Overview of iqair-airvisual-automation skill
What iqair-airvisual-automation does
iqair-airvisual-automation is a Claude skill for automating IQAir AirVisual tasks through Composio’s Rube MCP toolkit. Its main value is not a fixed air-quality script; it teaches the agent to discover the current IQAir AirVisual tools, inspect their live schemas, confirm the user’s connection, and then run the right operation through Rube.
Best-fit users and workflows
This skill is a good fit if you want an AI agent to help with Workflow Automation around IQAir AirVisual data or account actions, especially when tool schemas may change. Typical use cases include asking for available air-quality operations, checking what parameters are required, preparing an execution plan, and running a supported IQAir AirVisual action only after the Rube connection is active.
Key differentiator: search tools first
The important behavior in this skill is its “discover before executing” pattern. Instead of assuming static function names or old parameter formats, the agent should call RUBE_SEARCH_TOOLS first for the specific IQAir AirVisual task. That makes the iqair-airvisual-automation skill more reliable than a generic prompt when the Composio toolkit evolves.
Adoption constraints to check
You need an MCP-capable client, Rube MCP configured, and an active IQAir AirVisual connection through RUBE_MANAGE_CONNECTIONS using toolkit iqair_airvisual. The repository for this skill is intentionally minimal: the practical instructions are concentrated in SKILL.md, with no extra scripts, rules, or reference folders to inspect.
How to Use iqair-airvisual-automation skill
iqair-airvisual-automation install and setup path
Install the skill from the Composio skills repository:
npx skills add ComposioHQ/awesome-claude-skills --skill iqair-airvisual-automation
Then configure Rube MCP in your client by adding:
https://rube.app/mcp
Before asking for real IQAir AirVisual work, verify that RUBE_SEARCH_TOOLS is available. Next, use RUBE_MANAGE_CONNECTIONS with toolkit iqair_airvisual. If the connection is not ACTIVE, complete the returned authorization flow and confirm active status before attempting any operation.
Inputs the skill needs from you
For best results, describe the actual AirVisual job, not just the product name. Include the target location, metric, time sensitivity, output format, and whether you want the agent to execute or only plan.
Weak prompt:
“Use IQAir.”
Stronger prompt:
“Use iqair-airvisual-automation to discover current IQAir AirVisual tools, check whether my iqair_airvisual connection is active, and find the required schema for getting current air-quality information for Paris. Do not execute until you show me the exact tool slug and required fields.”
This works better because it forces schema discovery, connection checking, and a safe approval point before execution.
Recommended workflow for reliable execution
Start by asking the agent to call RUBE_SEARCH_TOOLS with a use case matching your real task, such as “current air quality by city” or “available IQAir AirVisual operations.” The search result should provide available tool slugs, input schemas, execution plans, and pitfalls. After that, ask the agent to map your request to the returned schema, fill missing fields explicitly, and only then call the selected tool.
A practical iqair-airvisual-automation usage sequence is:
- Search tools for the exact IQAir AirVisual use case.
- Confirm
iqair_airvisualconnection status. - Review required fields from the live schema.
- Ask the agent to produce a proposed call.
- Approve execution or revise missing inputs.
- Request a concise summary of returned data and any limitations.
Repository files to read first
Read composio-skills/iqair-airvisual-automation/SKILL.md first. It contains the prerequisites, setup flow, tool discovery requirement, and core workflow pattern. There are no visible companion scripts or reference documents in the file tree, so the main install decision is whether your environment supports Rube MCP and whether you are comfortable with live tool discovery as the execution model.
iqair-airvisual-automation skill FAQ
Is iqair-airvisual-automation beginner-friendly?
Yes, if you already use an MCP-capable AI client. The skill’s setup is short, but beginners may need to understand two moving parts: Rube MCP provides the tool interface, and Composio manages the IQAir AirVisual connection. If either RUBE_SEARCH_TOOLS or the iqair_airvisual connection is unavailable, the skill cannot do meaningful work.
How is it better than an ordinary prompt?
A normal prompt may hallucinate old API fields or assume an IQAir endpoint that is not available in your connected toolkit. The iqair-airvisual-automation skill directs the agent to search Rube’s current tool catalog first, then use the returned schema. That reduces guesswork and makes the workflow more resilient to toolkit updates.
When should I not use this skill?
Do not use it if you need offline processing only, direct raw API coding without Composio, or guaranteed support for a specific AirVisual endpoint before checking Rube’s current tools. Also avoid it when you cannot authorize the IQAir AirVisual connection or when your client does not support MCP tool calls.
Does it execute actions automatically?
The skill is designed to enable execution through Rube MCP, but you can and should control the approval boundary. For read-style tasks, you may allow execution after schema confirmation. For account-changing or ambiguous tasks, ask the agent to show the selected tool slug, required fields, and expected effect before running anything.
How to Improve iqair-airvisual-automation skill
Improve prompts with task-specific context
The biggest improvement comes from giving the agent enough context to search for the right tool. Instead of “get air quality,” specify the city, country or coordinates if known, desired metric, freshness requirement, and final output. For example: “Find the current AQI and main pollutant for Los Angeles, return a short human-readable summary, and include any timestamp from the tool response.”
Reduce common failure modes
Common failures include skipping RUBE_SEARCH_TOOLS, using guessed field names, trying to run before the connection is active, or asking for unsupported historical or forecast data without checking availability. Prevent these by adding: “Search tools first, use only returned schemas, and ask me for any required field that is missing.”
Iterate after the first tool result
After the first response, ask the agent to validate whether the returned data fully answered the goal. If not, have it search again with a narrower use case or request additional fields. A useful follow-up is: “Compare the result against the original request, list missing information, and propose the next Rube tool call only if the current IQAir AirVisual toolkit supports it.”
What to inspect if results look wrong
Re-open SKILL.md and confirm the agent followed the intended sequence: Rube availability, connection management, tool discovery, schema mapping, then execution. If the output still looks incomplete, the issue is likely not the iqair-airvisual-automation skill itself but missing user input, inactive authorization, or the current capabilities exposed by Composio’s iqair_airvisual toolkit.