endorsal-automation
by ComposioHQendorsal-automation helps Claude automate Endorsal tasks through Composio Rube MCP, with live tool discovery, connection checks, and schema-based execution before changes.
This skill scores 65/100, which means it is acceptable for directory listing but should be presented as a lightweight connector skill rather than a rich workflow pack. Directory users get enough evidence to understand when to use it and how an agent should start, but most real operational value depends on live Rube tool discovery rather than repository-provided Endorsal workflows.
- Valid skill metadata and a clear trigger: automate Endorsal operations through Composio's Endorsal toolkit via Rube MCP.
- Provides concrete prerequisites and setup steps, including adding `https://rube.app/mcp`, checking `RUBE_SEARCH_TOOLS`, and activating an Endorsal connection with `RUBE_MANAGE_CONNECTIONS`.
- Includes a repeatable discovery-first workflow pattern that should reduce schema guesswork before execution.
- Content appears to be a generic Rube MCP toolkit wrapper rather than detailed Endorsal-specific automation; agents must rely on `RUBE_SEARCH_TOOLS` for actual schemas and actions.
- No support files, README, install command, scripts, or concrete Endorsal task examples are provided, limiting install-decision confidence.
Overview of endorsal-automation skill
What endorsal-automation does
endorsal-automation is a Claude skill for running Endorsal operations through Composio’s Rube MCP server. It is not a standalone Endorsal SDK, scraper, or UI automation script; it teaches the agent the safe workflow pattern for discovering current Endorsal tools, checking the connection, and executing actions only after the live schema is known.
The main value of the endorsal-automation skill is reducing guesswork when automating Endorsal tasks such as managing testimonial, review, or customer-proof workflows through Composio’s Endorsal toolkit.
Best-fit users and workflows
Use this skill if you already work with Claude plus MCP and want an agent to operate Endorsal through Rube rather than manually building every tool call. It fits teams that need repeatable workflow automation, especially when the available Endorsal tool schemas may change and the agent must inspect current capabilities before acting.
It is most useful for operators, growth teams, agencies, and technical assistants who want structured Endorsal automation without hardcoding outdated API assumptions.
Key differentiator: search tools first
The defining rule of endorsal-automation is: always call RUBE_SEARCH_TOOLS before executing Endorsal actions. That matters because Composio tool names, arguments, and execution hints can change. A generic prompt may assume fields that do not exist; this skill forces live discovery, connection verification, and then execution.
What to check before installing
The repository path is composio-skills/endorsal-automation, and the available implementation is concentrated in SKILL.md. There are no companion scripts, rules, metadata, or reference folders in the current tree. Install it when you want a lightweight procedural skill, not a full application framework.
How to Use endorsal-automation skill
endorsal-automation install context
Install the skill from the ComposioHQ skill collection with:
npx skills add ComposioHQ/awesome-claude-skills --skill endorsal-automation
Then ensure your Claude-compatible client has Rube MCP configured. The upstream skill expects the MCP server endpoint https://rube.app/mcp and requires the rube MCP tools to be available. Before asking for any Endorsal action, confirm that RUBE_SEARCH_TOOLS responds.
The skill also depends on an active Endorsal connection managed through RUBE_MANAGE_CONNECTIONS with toolkit endorsal.
Required inputs for good endorsal-automation usage
A strong prompt should include:
- The exact Endorsal task you want completed
- The object type involved, if known
- Any filters, names, dates, statuses, customer identifiers, or workspace context
- Whether the agent should only inspect, draft, or actually execute changes
- How to handle uncertain matches or missing fields
Weak prompt:
“Use Endorsal to update testimonials.”
Stronger prompt:
“Use endorsal-automation for Workflow Automation. First discover current Endorsal tools with RUBE_SEARCH_TOOLS. Check that the endorsal connection is active. Then find testimonials related to customer Acme Corp; do not modify anything until you show me the matching records and the tool schema fields you plan to use.”
This works better because it tells the agent to follow the skill’s discovery pattern, defines the target, and limits destructive action.
Practical workflow to follow
A reliable endorsal-automation guide looks like this:
- Read
SKILL.mdfirst; it contains the full operating pattern. - Verify
RUBE_SEARCH_TOOLSis available. - Use
RUBE_MANAGE_CONNECTIONSto confirm the Endorsal toolkit connection isACTIVE. - Search tools for the specific use case, not a vague phrase.
- Review returned tool slugs, schemas, required inputs, recommended plans, and pitfalls.
- Execute only after the schema is known.
- For updates or deletes, ask the agent to preview intended changes before committing.
Avoid telling the agent to “just use Endorsal.” The skill is designed to work from live tool discovery, so your prompt should preserve that sequence.
Files to read before first run
Start with SKILL.md; there is no separate README.md or helper script set in this skill directory. Pay special attention to the sections on prerequisites, setup, tool discovery, and the core workflow pattern. Because the skill is intentionally minimal, the real source of current capability is the response from RUBE_SEARCH_TOOLS, not static repository examples.
endorsal-automation skill FAQ
Is endorsal-automation a full Endorsal integration?
No. endorsal-automation is an agent skill that guides Claude through Composio’s Endorsal toolkit via Rube MCP. It does not replace Endorsal, host a backend, or provide its own persistent database. You still need a working Endorsal account connection through Composio/Rube.
How is this better than a normal prompt?
A normal prompt may invent tool names or use stale argument fields. The endorsal-automation skill encodes the important guardrail: discover available tools first, then check connection state, then execute using the returned schema. That makes it better for changing tool ecosystems and lowers the chance of failed or malformed calls.
Is this suitable for beginners?
It is beginner-friendly only if your MCP client is already set up. The skill’s process is simple, but adoption can be blocked by missing Rube MCP access, an inactive Endorsal connection, or unfamiliarity with MCP tool calls. If you have never configured MCP before, solve that first before judging the skill.
When should I not use endorsal-automation?
Do not use it when you need offline processing, direct Endorsal API code, bulk migrations with custom validation logic, or guaranteed behavior without live tool discovery. Also avoid it for high-risk write operations unless your prompt requires confirmation before changes are applied.
How to Improve endorsal-automation skill
Improve endorsal-automation prompts with task specifics
The easiest way to improve endorsal-automation results is to replace broad goals with operational detail. Include the entity, desired outcome, constraints, and approval policy.
Better input pattern:
“Search current Endorsal tools for creating or updating testimonial records. Confirm the endorsal connection is active. If a matching testimonial already exists for [customer], summarize it and ask before updating. If no match exists, draft the create call but do not execute until I approve.”
This gives the agent enough structure to choose tools safely.
Common failure modes to prevent
The most common failure is skipping RUBE_SEARCH_TOOLS and assuming a schema. A second failure is continuing when the Endorsal connection is not active. A third is allowing write operations without previewing matched records.
Prevent these by adding phrases such as:
- “Search tools first and use only returned schemas.”
- “Stop if the Endorsal connection is not ACTIVE.”
- “Preview all intended changes before execution.”
- “If multiple records match, ask me to choose.”
Iterate after the first output
After the first run, ask the agent to report the discovered tool slug, required fields, optional fields, and any pitfalls returned by Rube. Save that summary in your project notes if you repeat the same workflow often, but still require fresh discovery before execution because schemas may change.
For recurring workflows, turn successful prompts into templates with placeholders for customer name, record type, status, date range, and approval mode.
Add safeguards for production Workflow Automation
For production use, pair endorsal-automation with explicit review gates. Ask for dry runs, record counts, sampled matches, and confirmation before create/update/delete operations. If the workflow touches public testimonials or customer-facing proof, require the agent to preserve original text unless you explicitly request editing. This keeps endorsal-automation useful for Workflow Automation while reducing accidental changes.