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deepgram-go-text-intelligence

Use when writing or reviewing Go code in this repo that sends text to Deepgram Read via the analyze client. Route speech/audio inputs to deepgram-go-speech-to-text or deepgram-go-audio-intelligence, and management/admin work to deepgram-go-management-api.

76

Quality

95%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

This is a high-quality skill that efficiently teaches Claude how to use Deepgram's text intelligence analyze client in Go. It excels at routing disambiguation, provides a complete executable example, and organizes references in a clear layered structure. The gotchas section adds genuine value by addressing common confusion points between the analyze and listen paths.

DimensionReasoningScore

Conciseness

The content is lean and well-structured. It avoids explaining what Deepgram is or how Go works, assumes Claude's competence, and every section serves a clear purpose. The routing guidance at the top is essential context, not filler.

3 / 3

Actionability

Provides a fully executable Go example with proper imports, error handling, and response access. Key parameters, constructors, and request helpers are concretely named with package paths. The authentication step is a concrete shell command.

3 / 3

Workflow Clarity

This is a single-task skill (send text to Deepgram's analyze API) with a clear, unambiguous workflow: set API key → create client → call method → read response. The routing decision tree at the top provides clear disambiguation. No destructive or batch operations require validation checkpoints.

3 / 3

Progressive Disclosure

Content is well-organized with a concise quick start inline and a layered API reference section pointing to in-repo files, OpenAPI specs, and product docs — all one level deep. Example files are referenced by path. The cross-language skills reference is clearly separated.

3 / 3

Total

12

/

12

Passed

Description

89%

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 is a well-crafted description that excels at completeness and distinctiveness by explicitly stating when to use this skill and when to route to alternatives. The trigger terms are strong and domain-appropriate. The main weakness is that it could be more specific about the concrete actions it supports beyond 'writing or reviewing Go code' — listing specific operations like sentiment analysis, topic detection, or summarization would strengthen specificity.

Suggestions

Add specific concrete actions the skill supports, e.g., 'sentiment analysis, topic detection, summarization, intent recognition via the analyze client' to improve specificity.

DimensionReasoningScore

Specificity

The description names the domain (Go code, Deepgram Read, analyze client) and mentions some actions ('writing or reviewing Go code', 'sends text to Deepgram Read'), but doesn't list multiple concrete actions like specific API operations or code patterns it helps with.

2 / 3

Completeness

Clearly answers both 'what' (writing/reviewing Go code that sends text to Deepgram Read via the analyze client) and 'when' (explicit 'Use when' clause), and additionally provides routing guidance for when NOT to use this skill, directing to alternative skills.

3 / 3

Trigger Term Quality

Includes strong natural trigger terms: 'Go code', 'Deepgram Read', 'analyze client', 'text', and explicitly names related skills to route to ('deepgram-go-speech-to-text', 'deepgram-go-audio-intelligence', 'deepgram-go-management-api'), plus distinguishing terms like 'speech/audio inputs' and 'management/admin work'.

3 / 3

Distinctiveness Conflict Risk

Highly distinctive with explicit boundary-drawing: it specifies this is for text analysis via the analyze client, and explicitly routes speech/audio and management tasks to other named skills, minimizing conflict risk.

3 / 3

Total

11

/

12

Passed

Validation

100%

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

Validation11 / 11 Passed

Validation for skill structure

No warnings or errors.

Repository
deepgram/deepgram-go-sdk
Reviewed

Table of Contents

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