gladia-automation
by ComposioHQgladia-automation is a Claude skill for automating Gladia tasks through Composio Rube MCP, with live tool discovery, connection checks, and schema-based execution before transcription or other workflows.
This skill scores 64/100, which makes it acceptable but limited for directory listing. Directory users get enough information to understand when to use it and how to start Gladia automation through Rube MCP, but should expect a thin wrapper around dynamic tool discovery rather than detailed, Gladia-specific workflows.
- Frontmatter is valid and clearly identifies the skill as Gladia automation through Rube MCP, with an explicit `requires: mcp: [rube]` dependency.
- Prerequisites and setup steps explain that Rube MCP must be connected, Gladia must be authorized via `RUBE_MANAGE_CONNECTIONS`, and status should be ACTIVE before workflows run.
- The skill gives a repeatable discovery-first pattern using `RUBE_SEARCH_TOOLS`, which should help agents avoid stale tool schemas.
- No support files, scripts, references, or README are present beyond SKILL.md, and there is no install command in the skill file.
- Gladia-specific workflow detail appears limited; the skill relies heavily on `RUBE_SEARCH_TOOLS` returning current schemas and execution plans, so users may still need to infer task-specific steps.
Overview of gladia-automation skill
What gladia-automation does
gladia-automation is a Claude skill for running Gladia-related automation through Composio’s Rube MCP server. It is designed for users who want an AI agent to discover current Gladia tool schemas, verify an authenticated Gladia connection, and then execute tasks such as transcription or other Gladia operations through the Composio toolkit instead of guessing API calls manually.
The key operating rule is simple: the agent should call RUBE_SEARCH_TOOLS first, then use the returned tool names, schemas, execution plans, and pitfalls before attempting any Gladia action.
Best fit for Workflow Automation users
This gladia-automation skill is most useful if you already work with MCP-enabled clients and want Gladia inside a broader Workflow Automation process. Good fits include:
- Teams routing audio or media-processing tasks through Claude
- Operators who prefer Composio-managed connections over direct API wiring
- Builders who need tool discovery before execution because schemas may change
- Users coordinating Gladia tasks with other Rube MCP toolkits
It is less useful if you only need a one-off Gladia API example, a local SDK wrapper, or a full application template.
Main differentiator
The skill’s main value is not a large codebase; the repository contains a focused SKILL.md. Its value is procedural: it forces connection checking and live tool discovery before execution. That matters because MCP tool names, required fields, and auth status can differ by account and by current Composio toolkit version.
Adoption requirements
Before installing or using gladia-automation, confirm that your client can connect to Rube MCP and expose tools such as RUBE_SEARCH_TOOLS and RUBE_MANAGE_CONNECTIONS. You also need an active Gladia connection managed through Composio. Without those pieces, the skill can describe the workflow but cannot actually run Gladia operations.
How to Use gladia-automation skill
gladia-automation install and setup path
Install the skill from the Composio skills repository if your client supports skill installation:
npx skills add ComposioHQ/awesome-claude-skills --skill gladia-automation
Then add Rube MCP as an MCP server in your client configuration:
https://rube.app/mcp
The upstream skill says no API key is needed for adding the Rube endpoint, but Gladia still needs to be connected through Composio. In practice, the first setup task should be:
- Confirm
RUBE_SEARCH_TOOLSis available. - Call
RUBE_MANAGE_CONNECTIONSwith toolkitgladia. - If the connection is not
ACTIVE, follow the returned authorization flow. - Re-check the connection before asking the agent to run production work.
Inputs the skill needs to work well
A weak prompt is: “Use Gladia to transcribe this.” It leaves the agent to infer the source, desired output, and processing constraints.
A stronger gladia-automation usage prompt includes:
- The exact Gladia job you want done
- Audio or file source location, if applicable
- Output format, such as transcript, timestamps, summary, JSON, or speaker labels
- Language expectations or multilingual handling
- Any downstream workflow step, such as saving results, sending to another tool, or comparing files
- Whether this is a test run or a production run
Example:
“Use the gladia-automation skill via Rube MCP. First discover current Gladia tools and schemas. Check that the gladia connection is active. Then process the provided meeting audio URL for English transcription with timestamps and speaker-aware formatting if available. Return the final transcript plus any tool IDs or job status needed for follow-up.”
Recommended execution workflow
Use this workflow rather than asking the model to call a remembered tool directly:
- Discover tools with
RUBE_SEARCH_TOOLSusing your specific use case, not a generic query. - Check auth with
RUBE_MANAGE_CONNECTIONSfor toolkitgladia. - Select the tool based on the returned schema and recommended plan.
- Map fields explicitly from your prompt to the tool schema.
- Execute and verify the result, job status, or returned artifact.
- Ask for a concise run report showing which tool was used and what assumptions were made.
This reduces failures caused by stale schema assumptions.
Repository files to read first
Start with composio-skills/gladia-automation/SKILL.md. There are no support folders such as scripts/, references/, or resources/ in the current file tree, so the skill is intentionally lightweight. Read the Prerequisites, Setup, Tool Discovery, and Core Workflow Pattern sections before judging it; those sections contain the actual operating contract.
gladia-automation skill FAQ
Is gladia-automation beginner friendly?
It is beginner friendly for users already comfortable with Claude tools or MCP, but not for someone expecting a standalone Gladia desktop app. The skill assumes you can configure an MCP server and authorize a Composio toolkit connection. Once that is done, the agent-facing workflow is straightforward.
Why not use an ordinary prompt instead?
An ordinary prompt may hallucinate Gladia API parameters or call outdated tool names. The gladia-automation skill instructs the agent to search available Rube tools first, which gives it current schemas and known pitfalls before execution. That is the practical advantage over a generic “use Gladia” instruction.
What are the main boundaries?
The skill does not include custom scripts, sample audio processing code, or a dedicated Gladia SDK wrapper. It depends on the Composio Gladia toolkit exposed through Rube MCP. If Rube MCP is unavailable, the Gladia connection is inactive, or the needed Gladia operation is not exposed by the toolkit, the skill cannot complete the job directly.
When should I not use this skill?
Do not use gladia-automation if you need offline processing, direct low-level API control, or a fully version-pinned integration independent of Composio. It is best when live tool discovery and managed authentication are acceptable parts of your workflow.
How to Improve gladia-automation skill
Improve prompts with task-specific discovery
For better results, tell the agent exactly what to search for in RUBE_SEARCH_TOOLS. “Gladia operations” is acceptable for exploration, but “transcribe a French podcast episode and return timestamped segments” gives the tool search more useful context. This helps the agent choose the right operation and map fields correctly.
Add constraints that affect output quality
Include constraints that materially change the Gladia result: language, diarization needs, timestamp granularity, file duration, callback requirements, export format, and whether partial results are acceptable. If the tool schema supports related options, the agent can apply them; if not, it can report the limitation before running the workflow.
Watch for common failure modes
The most common failure modes are inactive Gladia connection, skipped tool discovery, missing required input fields, and prompts that do not specify the desired output. If the first run fails, ask the agent to show the discovered schema, identify the missing field or connection issue, and retry only after the correction is explicit.
Iterate after the first output
After the first result, improve the workflow by asking for a compact execution report: discovered tool slug, required fields used, optional fields ignored, returned job status, and follow-up actions. This makes gladia-automation easier to reuse in repeatable Workflow Automation pipelines instead of treating each run as an isolated chat.