botstar-automation
by ComposioHQbotstar-automation helps Claude run Botstar workflows through Composio Rube MCP by discovering current tools, checking the Botstar connection, and using live schemas before execution.
This skill scores 66/100, which makes it acceptable but limited for directory listing. Directory users can understand when to use it and how an agent should begin Botstar automation through Rube MCP, but they should expect a lightweight wrapper around tool discovery rather than a detailed Botstar workflow guide.
- Valid frontmatter with a clear trigger: automate Botstar tasks through Rube MCP using the Botstar toolkit.
- Gives essential prerequisites and setup flow, including RUBE_SEARCH_TOOLS availability, RUBE_MANAGE_CONNECTIONS, and requiring an ACTIVE Botstar connection before execution.
- Provides a repeatable discovery-first workflow pattern so agents can fetch current tool schemas before acting, reducing schema guesswork.
- No install command or support files are included; adoption depends on already knowing how to configure MCP clients beyond the brief endpoint instruction.
- Botstar-specific workflow examples are thin: the skill mostly delegates operation details to RUBE_SEARCH_TOOLS rather than documenting common Botstar tasks.
Overview of botstar-automation skill
What botstar-automation does
botstar-automation is a Claude skill for running Botstar-related workflows through Composio’s Rube MCP server. Instead of assuming fixed Botstar API shapes, the skill’s core instruction is to discover the current Composio Botstar tools first, confirm the user’s Botstar connection, and then execute the task using the returned schemas.
This makes the botstar-automation skill most useful when you want an AI agent to operate inside a live Botstar integration without hand-writing tool calls from memory.
Best-fit users and jobs
Use this skill if you already use Botstar and want Claude to help with operational tasks such as checking available Botstar actions, preparing workflow steps, or executing supported Botstar operations through Rube MCP. It is a good fit for automation builders, support teams, RevOps users, and technical operators who need repeatable Botstar workflows but do not want to maintain brittle prompt instructions for changing tool schemas.
The real job-to-be-done is not “chat about Botstar.” It is: connect to Rube MCP, locate the right Botstar tools, verify authorization, and perform the requested workflow with less guesswork.
Key differentiator: schema discovery first
The strongest differentiator of botstar-automation is its discovery-first pattern. The upstream skill explicitly requires RUBE_SEARCH_TOOLS before execution so the agent can retrieve current tool slugs, input schemas, recommended plans, and pitfalls. That matters because Composio toolkit schemas can change, and a generic prompt may hallucinate old parameters or call unavailable tools.
Main adoption requirement
This skill depends on Rube MCP and an active Botstar connection. If your Claude client cannot use MCP tools, or if you cannot authorize Botstar through RUBE_MANAGE_CONNECTIONS, the skill will not provide much practical value. There are no bundled helper scripts or reference folders in the repository; the useful behavior is concentrated in SKILL.md.
How to Use botstar-automation skill
botstar-automation install and setup path
Install the skill from the Composio skills repository using your skill manager, for example:
npx skills add ComposioHQ/awesome-claude-skills --skill botstar-automation
Then configure Rube MCP in your client by adding the MCP server endpoint:
https://rube.app/mcp
After installation, confirm that the MCP tool RUBE_SEARCH_TOOLS is available. Next, use RUBE_MANAGE_CONNECTIONS with toolkit botstar to check whether your Botstar connection is active. If it is not active, follow the returned authorization link and retry only after the status is ACTIVE.
Inputs the skill needs from you
For reliable botstar-automation usage, give the agent a concrete Botstar outcome, relevant object names or IDs if you have them, constraints, and success criteria. A weak prompt is:
“Automate my Botstar workflow.”
A stronger prompt is:
“Use botstar-automation for Workflow Automation. Check my Botstar connection through Rube MCP, search for the current tools for updating a bot flow, and prepare an execution plan before making changes. The target bot is Support Intake; do not publish changes until I approve the proposed steps.”
This works better because it tells the skill what task to discover tools for, what entity is involved, and what not to do without confirmation.
Practical workflow for first run
Start with the repository file composio-skills/botstar-automation/SKILL.md; there are no extra README.md, rules/, resources/, or scripts/ files in this skill folder. The intended flow is:
- Ask Claude to invoke
botstar-automation. - Have it call
RUBE_SEARCH_TOOLSfor your specific Botstar task. - Have it call
RUBE_MANAGE_CONNECTIONSfor toolkitbotstar. - Review the returned tool schemas and plan.
- Allow execution only after the agent maps your requested action to specific tool calls.
Do not skip discovery. The skill is designed around current schema lookup, not static examples.
Prompt pattern that improves results
Use this structure when asking for a botstar-automation guide style run:
- Goal: what Botstar outcome you want.
- Scope: which bot, campaign, flow, user segment, or resource is affected.
- Permissions: read-only, draft changes, or execute.
- Guardrails: actions that require approval.
- Output: plan, executed result, audit summary, or next-step checklist.
Example:
“Run botstar-automation in read-only mode. Discover Botstar tools for listing and inspecting bot flows. Identify which flow handles new lead qualification, summarize available editable fields, and stop before making any update.”
botstar-automation skill FAQ
Is botstar-automation enough without Rube MCP?
No. The skill requires Rube MCP because its workflow depends on RUBE_SEARCH_TOOLS and RUBE_MANAGE_CONNECTIONS. Without MCP tool access, Claude can still discuss Botstar conceptually, but it cannot follow the intended automation path.
How is it different from an ordinary Botstar prompt?
An ordinary prompt may ask Claude to infer Botstar operations from general knowledge. botstar-automation tells the agent to search Composio’s current Botstar toolkit first, check the connection, and use live schemas. That reduces wrong parameter names, unavailable tool calls, and unauthorized execution attempts.
Is this skill beginner-friendly?
It is beginner-friendly only if your environment already supports MCP tools. Non-technical users may need help adding https://rube.app/mcp and authorizing Botstar. Once the connection is active, the skill can guide the workflow in plain language, but setup is still an integration step.
When should I not use it?
Do not use botstar-automation for unrelated chatbot platforms, offline Botstar documentation writing, or tasks where you cannot authorize a Botstar connection. It is also not ideal if you need custom code generation only; its value is in executing supported Botstar operations through Composio, not replacing a full Botstar SDK project.
How to Improve botstar-automation skill
Improve botstar-automation prompts with sharper scope
The most common failure mode is asking for a broad automation without enough Botstar context. Improve results by naming the exact workflow, object, and risk level. “Find Botstar tools for updating the welcome message in bot X and wait for approval before applying changes” is much safer than “update my bot.”
If you do not know the exact object ID, ask the skill to discover or list candidates first, then choose from the results.
Add approval checkpoints for risky actions
Because this skill can work through connected tools, include explicit approval rules. For example: “Read and plan only,” “Create a draft but do not publish,” or “Ask before deleting, overwriting, or triggering user-facing messages.” These guardrails help the agent separate exploration from execution.
Iterate after the first tool discovery
After RUBE_SEARCH_TOOLS returns tool schemas, refine the request using the discovered tool names, required fields, and limitations. A strong second prompt might be:
“Using the discovered Botstar tool schema, fill only the required fields for a draft update. If any required value is missing, ask me instead of guessing.”
This keeps the workflow grounded in actual tool requirements.
Read the source before extending the skill
If you plan to customize botstar-automation, read SKILL.md first because it contains the whole operational pattern. Useful improvements would be additional examples for common Botstar tasks, clearer read-only versus write-action prompts, and troubleshooting notes for inactive connections or missing RUBE_SEARCH_TOOLS. Keep the discovery-first rule intact; it is the main reason the skill is safer than a static Botstar prompt.