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deepgram-core-workflow-a

Implement production pre-recorded speech-to-text with Deepgram. Use when building audio transcription, batch processing, or implementing diarization and intelligence features. Trigger: "deepgram transcription", "speech to text", "transcribe audio", "batch transcription", "deepgram nova", "diarize audio".

72

Quality

90%

Does it follow best practices?

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SecuritybySnyk

Passed

No findings from the security scan

SKILL.md
Quality
Evals
Security

Quality

Content

80%Weight 40%Scale 1-3

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

The body is concise and highly actionable with complete executable TypeScript, but it stops short of top marks on structure: batch and async workflows lack explicit validation feedback loops, and the provided reference file is orphaned while content that belongs there stays inline.

Suggestions

Add an explicit validation/retry checkpoint to the batch and async workflows (e.g., on failure, inspect the error, retry with adjusted params, and only proceed when the batch settles clean) to lift workflow_clarity to 3.

Link references/implementation.md from the body (e.g., a "## Full implementation" section pointing to it) and move the complete class/batch code there, keeping SKILL.md as a tighter overview, to reach level-3 progressive disclosure.

Confirm the in-body code and implementation.md agree on defaults (the body uses nova-3 while the reference defaults to nova-2) to avoid contradictory guidance.

DimensionReasoningScore

Conciseness

Lean body of executable code with minimal signposting comments ("// Audio intelligence", "// requires utterances: true"); no concept explanations Claude already knows, so it clears the lean-and-efficient bar over the padded level-2 example.

3 / 3

Actionability

Provides fully executable TypeScript (DeepgramTranscriber class, formatResult, batch with p-limit, async callback, keyword boosting) that is copy-paste ready, matching the executable-code anchor rather than pseudocode level 2.

3 / 3

Workflow Clarity

Steps 1-5 are clearly sequenced, but batch (Step 3) and async callback (Step 4) operations have no explicit validate→fix→retry checkpoints; the rubric caps workflow clarity at 2 for batch operations missing feedback loops, so it does not reach level 3.

2 / 3

Progressive Disclosure

A references/implementation.md bundle exists but is never linked from the body, and all code is inlined in SKILL.md rather than split out — the "references present but not signaled; content that should be separate is inline" level-2 case, not the well-signaled level-3 case.

2 / 3

Total

10

/

12

Passed

Description

100%Weight 40%Scale 1-3

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

A well-crafted description that states concrete capabilities, gives an explicit use-when clause plus natural trigger terms, and carves out a distinct Deepgram pre-recorded niche. Voice is imperative/third-person, so no person-penalty applies.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — "Implement production pre-recorded speech-to-text", "batch processing", "diarization and intelligence features" — matching the multi-action anchor rather than the single-action level 2.

3 / 3

Completeness

Clearly answers both what ("Implement production pre-recorded speech-to-text with Deepgram") and when ("Use when building audio transcription, batch processing, or implementing diarization and intelligence features") with an explicit Trigger clause.

3 / 3

Trigger Term Quality

Explicit Trigger clause gives natural phrases users would say ("speech to text", "transcribe audio", "batch transcription", "diarize audio") with good coverage, not jargon.

3 / 3

Distinctiveness Conflict Risk

Deepgram-specific niche with branded triggers ("deepgram transcription", "deepgram nova") makes it unlikely to fire for unrelated skills; not the generic level-2 case.

3 / 3

Total

12

/

12

Passed

Validation

87%

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

Validation14 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

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

Warning

Total

14

/

16

Passed

Repository
jeremylongshore/claude-code-plugins-plus-skills
Reviewed

Table of Contents

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