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deepgram-go-speech-to-text

Use when writing or reviewing Go code in this repo that transcribes prerecorded audio with Listen v1 REST or streams live audio with Listen v1 WebSockets. Route text generation to deepgram-go-text-to-speech, text analysis to deepgram-go-text-intelligence, audio analytics overlays to deepgram-go-audio-intelligence, and Flux or other v2 conversational work to deepgram-go-conversational-stt.

Quality

85%

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Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

75%Weight 40%Scale 1-5

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

A well-structured SDK skill: two runnable quick-start programs, exact constructor and option-field references, repo-specific gotchas, and a cleanly layered reference list. The main gaps are the pseudo-code audio-streaming loop in the WebSocket example, minor token padding (boilerplate, auth prose, promo block), and no inline reconnect/recovery guidance.

Suggestions

Actionability: replace the commented pseudo-code streaming loop in the WebSocket example with a real executable loop (e.g., reading PCM chunks from a file via conn.WriteBinary) so the streaming flow is copy-paste ready.

Workflow clarity: add a brief inline reconnect/backoff note for dropped WebSocket connections instead of only pointing at tests/edge_cases/reconnect_client/main.go, so the connect -> stream -> finalize loop has an explicit error-recovery path.

Conciseness: trim the repeated package/main boilerplate, the client-option auth prose, and the 'Central product skills' promotional block to reclaim tokens without losing information.

DimensionReasoningScore

Conciseness

The body is efficient and assumes competence — no basic-concept teaching — but a few things could be trimmed: the full 'package main / log.Fatal' boilerplate repeated in both examples, the auth prose ('This SDK reads env-backed defaults via the client option layer...'), and the promotional 'Central product skills' block. This is 'efficient; minor instances of over-explanation' rather than the every-token-earns-its-place 5 anchor.

4 / 5

Actionability

Two complete, compiling Go programs with real constructors ('listen.NewRESTWithDefaults()', 'listen.NewWSUsingChanWithDefaults') and concrete option fields, plus exact lifecycle calls. However the WebSocket example's audio-feeding loop is pseudo-code in comments ('for chunk := range audioChunks'), so the flagship streaming flow is not fully copy-paste ready — 'mostly executable guidance; concrete code with minor gaps' rather than the 5 anchor.

4 / 5

Workflow Clarity

The lifecycle is clearly sequenced ('call Start(), stream/write audio, KeepAlive() as needed, Finalize(), then defer conn.Stop()') with a validation checkpoint ('if ok := conn.Connect(); !ok') and consistent error returns. It falls short of the 5 anchor because error-recovery/reconnect feedback loops are not inline — only a pointer to 'tests/edge_cases/reconnect_client/main.go' — leaving minor validation gaps.

4 / 5

Progressive Disclosure

Well-organized sections with a clearly signaled, layered, one-level-deep reference list (README.md, docs.go, pkg/client/listen source paths, OpenAPI/AsyncAPI specs, product docs) plus example-file pointers — no nested references. It is not the 5 anchor because no dedicated bundle files exist and the 'Key parameters' section inlines a fair amount of option-struct detail that could partly live in a reference file; still clearly above the 'references not clearly signaled' 3 anchor.

4 / 5

Total

16

/

20

Passed

Description

87%Weight 40%Scale 1-5

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 strong, dense description: it states an explicit 'Use when' trigger scoped to Go code in this repo, names both concrete capabilities (prerecorded REST transcription, live WebSocket streaming), and explicitly routes adjacent workloads to sibling skills to prevent mis-triggering. The only weaknesses are minor missing synonyms (e.g., 'speech-to-text' spelled out) and slightly incomplete capability coverage.

DimensionReasoningScore

Specificity

Concrete actions are named: 'transcribes prerecorded audio with Listen v1 REST', 'streams live audio with Listen v1 WebSockets', and routing of TTS/text-intelligence/analytics/Flux work to sibling skills. This is several specific actions, but coverage has minor gaps (no mention of input variants like FromURL/FromFile/FromStream or capabilities like diarization), so it sits at the 4 anchor rather than the comprehensive 5 anchor, and well above the 1-2-action 3 anchor.

4 / 5

Completeness

Both what and when are explicit with concrete triggers: 'Use when writing or reviewing Go code in this repo that transcribes prerecorded audio with Listen v1 REST or streams live audio with Listen v1 WebSockets' states the when and embeds the what, and the routing sentence adds explicit negative boundaries. This matches the 5 anchor; the 4 anchor ('when' could be more explicit) fits worse since the when clause is highly specific.

5 / 5

Trigger Term Quality

Natural user phrasing is present: 'transcribes prerecorded audio', 'streams live audio', 'Go code', 'WebSockets', 'REST'. A few natural terms are missing — the skill never spells out 'speech-to-text' for itself (STT appears only for the conversational sibling) and mentions no audio file formats — so it matches 'good keyword coverage; a few natural terms missing' rather than the synonym-and-extension-complete 5 anchor.

4 / 5

Distinctiveness Conflict Risk

Clear niche (Go SDK, Listen v1, this repo) with distinct triggers, and it actively disambiguates against the closest siblings by name ('Route text generation to deepgram-go-text-to-speech, text analysis to deepgram-go-text-intelligence...'), minimizing conflict risk. Fits the 5 anchor better than 4, which presumes unresolved minor overlap with related skills.

5 / 5

Total

18

/

20

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.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

deepgram/deepgram-go-sdk

Path

.agents/skills/deepgram-go-speech-to-text/SKILL.md

Reviewed

Table of Contents

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