skyfire-automation
by ComposioHQskyfire-automation helps agents automate Skyfire operations through Composio Rube MCP by discovering current tool schemas, checking the Skyfire connection, and following a safer execution workflow.
This skill scores 66/100, which means it is acceptable for listing but limited. Directory users get enough evidence to understand when to invoke it and how an agent should begin Skyfire automation through Rube MCP, but the repository provides relatively generic operational guidance rather than concrete Skyfire-specific workflows or examples.
- Frontmatter is valid and clearly declares the required MCP dependency: `rube`.
- Prerequisites and setup steps are explicit, including connecting Rube MCP, using `RUBE_MANAGE_CONNECTIONS` with toolkit `skyfire`, and requiring an ACTIVE Skyfire connection before workflows.
- The skill gives agents a reliable execution pattern: always call `RUBE_SEARCH_TOOLS` first to obtain current tool slugs, schemas, execution plans, and pitfalls.
- Workflow content appears mostly MCP/tool-discovery scaffolding rather than detailed Skyfire-specific automations, so users may still need to infer task-level steps after tool search.
- No support files, scripts, README, metadata, or install command are provided; adoption depends on already understanding and configuring Rube MCP.
Overview of skyfire-automation skill
What skyfire-automation does
skyfire-automation is a Claude skill for automating Skyfire operations through Composio’s Rube MCP server. Its core value is not a fixed Skyfire API wrapper; it teaches the agent to discover the current Skyfire tool schema at runtime, verify the user’s Skyfire connection, then execute the right Rube tool calls with less guesswork.
Use it when you want an AI agent to operate against Skyfire through Composio instead of manually checking toolkit docs, auth state, and MCP tool names each time.
Best fit for Workflow Automation teams
The skyfire-automation skill is best for users who already work with MCP-enabled assistants and want Skyfire actions embedded into repeatable workflows. It fits operations, automation, agent-building, and integration teams that need current tool discovery before execution.
It is less useful if you only need general Skyfire strategy, documentation summaries, or a one-off prompt that does not call MCP tools.
What makes this skill different
The most important differentiator is the instruction to always call RUBE_SEARCH_TOOLS first. That matters because Composio toolkit schemas can change, and hardcoding tool names or inputs can cause failed runs. The skill also includes a connection-check pattern through RUBE_MANAGE_CONNECTIONS, which helps prevent the common failure mode of trying to run a Skyfire action before authentication is active.
Adoption requirements to check first
Before installing or relying on the skyfire-automation skill, confirm your client supports MCP tools and can connect to Rube. The upstream skill declares a dependency on rube MCP and expects RUBE_SEARCH_TOOLS to be available. You also need an active Skyfire connection managed through Rube with toolkit skyfire.
How to Use skyfire-automation skill
skyfire-automation install and setup path
If you use a skills-compatible client, install from the Composio skills repository:
npx skills add ComposioHQ/awesome-claude-skills --skill skyfire-automation
Then configure Rube MCP in your client by adding:
https://rube.app/mcp
The skill itself does not contain scripts or helper files; the main file to inspect is:
composio-skills/skyfire-automation/SKILL.md
After installation, verify that your assistant can call RUBE_SEARCH_TOOLS. Then use RUBE_MANAGE_CONNECTIONS with toolkit skyfire and complete the returned authentication flow if the connection is not ACTIVE.
Inputs the skill needs from you
A strong skyfire-automation usage prompt should include the actual Skyfire task, expected outcome, relevant account or workflow context, and any safety limits. Do not just say “use Skyfire.” The skill depends on tool discovery, so your use case should be specific enough for RUBE_SEARCH_TOOLS to return relevant tool slugs and schemas.
Weak prompt:
“Automate my Skyfire task.”
Stronger prompt:
“Use skyfire-automation to check my Skyfire connection, discover the current Rube tools for creating a payment-related workflow, show me the proposed execution plan before making changes, and stop if required fields are missing.”
This gives the agent a task, discovery requirement, approval boundary, and failure condition.
Recommended execution workflow
A practical skyfire-automation guide should follow this order:
- Ask the agent to invoke the skill for a specific Skyfire operation.
- Confirm
RUBE_SEARCH_TOOLSis available. - Search tools with a use case matching your task, not a generic query.
- Check the Skyfire connection with
RUBE_MANAGE_CONNECTIONS. - If inactive, complete authentication before continuing.
- Review returned tool schemas and required fields.
- Ask the agent to summarize the execution plan before calling mutating tools.
- Run the selected tool calls and capture results, errors, and follow-up actions.
This sequence is important because the skill is designed around current schema discovery, not memorized tool signatures.
Repository files to read before trusting it
Start with SKILL.md; it contains the complete operational behavior, prerequisites, setup, discovery pattern, and core workflow. There are no extra rules/, references/, resources/, or scripts/ directories in the current skill folder, so do not expect hidden implementation logic. For Skyfire-specific tool details, use the linked Composio toolkit documentation at composio.dev/toolkits/skyfire, but still prefer live RUBE_SEARCH_TOOLS output during execution.
skyfire-automation skill FAQ
Is skyfire-automation beginner friendly?
It is beginner friendly only if your assistant client already supports MCP and you are comfortable completing an external connection flow. The skill gives a clear sequence, but it assumes you understand that tools like RUBE_SEARCH_TOOLS and RUBE_MANAGE_CONNECTIONS are executable MCP calls, not text commands to paste into a terminal.
Why not use an ordinary prompt instead?
A normal prompt can describe what you want, but it may invent outdated Skyfire tool names or skip authentication checks. The skyfire-automation skill adds a disciplined runtime pattern: discover tools first, check connection status, then execute based on returned schemas. That reduces failures when Composio’s available tools or required fields change.
What can block skyfire-automation usage?
Common blockers include no MCP support in the client, Rube not configured, RUBE_SEARCH_TOOLS unavailable, Skyfire connection not active, or missing required fields after schema discovery. Another blocker is overbroad intent: if your prompt does not name the Skyfire operation clearly, the tool search may return irrelevant options.
When should I not install this skill?
Do not install skyfire-automation if you are not using Rube MCP, do not have a Skyfire workflow to automate, or only need static documentation. It is also not the right fit for fully offline environments because its value depends on live MCP tool discovery and active connection management.
How to Improve skyfire-automation skill
Improve skyfire-automation prompts with constraints
Better results come from describing the task and the guardrails together. Include what the agent may change, what it must only inspect, what requires confirmation, and what counts as success.
Example:
“Use skyfire-automation for Workflow Automation. Discover current Skyfire tools for this billing workflow, verify the connection, list required inputs, ask before any write action, and return a concise audit log of every Rube call and result.”
This improves output quality because the agent can separate discovery, planning, approval, and execution.
Handle common failure modes early
The most frequent failures are skipped tool discovery, inactive connections, stale assumed schemas, and incomplete required fields. Prevent them by explicitly requiring RUBE_SEARCH_TOOLS before any Skyfire action and asking the agent to quote the relevant required fields from the returned schema before execution.
If a run fails, do not immediately retry the same call. Ask the agent to compare the error against the discovered schema, connection status, and missing inputs.
Iterate after the first tool result
After the first output, ask for a short post-run review: what succeeded, what tool was called, what fields were used, what was not changed, and what the next safest action is. This is especially useful for workflow automation where one Skyfire action may lead to another. Iteration should be based on observed Rube results, not assumptions from the initial prompt.
Strengthen the skill for team use
Teams can improve skyfire-automation by adding internal prompt examples, approval rules, and task-specific playbooks around the upstream SKILL.md. Good additions include standard naming conventions, “read-only first” policies, required audit notes, and examples of approved Skyfire workflows. Keep the original live-discovery behavior intact; hardcoding tool schemas would remove the main reliability advantage of the skill.