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big-data-cloud-automation

Automate Big Data Cloud tasks via Rube MCP (Composio). Always search tools first for current schemas.

67

Quality

53%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

Optimize this skill with Tessl

npx tessl skill review --optimize ./composio-skills/big-data-cloud-automation/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Discovery

22%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

This description is too vague to effectively guide skill selection. It names specific tools (Rube MCP, Composio) but fails to explain what concrete actions are possible or when the skill should be triggered. The procedural note about searching tools first is implementation detail rather than useful selection criteria.

Suggestions

Add a 'Use when...' clause specifying trigger scenarios, e.g., 'Use when the user mentions Big Data Cloud, Composio integrations, or needs to automate cloud data pipelines'

Replace 'tasks' with specific concrete actions like 'create data pipelines, manage cloud storage, schedule batch jobs, monitor data workflows'

Include natural language variations users might say, such as 'data automation', 'cloud ETL', 'batch processing', or specific Composio operation names

DimensionReasoningScore

Specificity

The description uses vague language like 'Automate Big Data Cloud tasks' without specifying what concrete actions can be performed. 'Always search tools first' is procedural guidance, not a capability description.

1 / 3

Completeness

The 'what' is extremely vague ('tasks') and there is no 'Use when...' clause or explicit trigger guidance. The description fails to answer when Claude should select this skill.

1 / 3

Trigger Term Quality

Contains some relevant keywords ('Big Data Cloud', 'Rube MCP', 'Composio') but these are technical/product-specific terms. Missing natural user language variations for what tasks users might request.

2 / 3

Distinctiveness Conflict Risk

The specific product names (Rube MCP, Composio, Big Data Cloud) provide some distinctiveness, but 'tasks' is so generic it could overlap with any automation skill. The niche is unclear.

2 / 3

Total

6

/

12

Passed

Implementation

85%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

This is a well-structured skill that efficiently guides Claude through Big Data Cloud automation via Rube MCP. The workflow is clear with proper validation checkpoints, and the content is appropriately concise. The main weakness is that tool call examples use placeholder arguments rather than concrete, copy-paste ready examples with realistic values.

Suggestions

Add a concrete end-to-end example with realistic arguments (e.g., a specific Big Data Cloud operation with actual field values) to improve actionability

Include an example of what a successful RUBE_SEARCH_TOOLS response looks like so Claude knows what to expect and how to parse it

DimensionReasoningScore

Conciseness

The content is lean and efficient, avoiding explanations of concepts Claude already knows. Every section serves a purpose with no padding or unnecessary context about what Big Data Cloud is or how MCP works.

3 / 3

Actionability

Provides concrete tool call patterns with specific parameters, but the examples are pseudocode-like structures rather than fully executable code. The arguments sections use placeholders like 'schema-compliant args from search results' instead of concrete examples.

2 / 3

Workflow Clarity

Clear 4-step setup sequence with explicit validation checkpoint (confirm ACTIVE status before proceeding). The 3-step core workflow pattern is well-sequenced with clear dependencies between steps.

3 / 3

Progressive Disclosure

Well-organized with clear sections progressing from prerequisites to setup to workflow to pitfalls. External reference to Composio docs is one level deep and clearly signaled. Quick reference table provides efficient navigation.

3 / 3

Total

11

/

12

Passed

Validation

90%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

10

/

11

Passed

Repository
ComposioHQ/awesome-claude-skills
Reviewed

Table of Contents

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