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voice-refine

Transform verbose voice input into structured, token-efficient Claude prompts. Use when cleaning up voice memos, dictation output, or speech-to-text transcriptions that contain filler words, repetitions, and unstructured thoughts.

64

Quality

77%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./examples/skills/voice-refine/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

67%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 concise, well-structured skill body with concrete output formatting and filtering rules, but the central transformation pipeline is described at a conceptual label level rather than with executable detail. The See Also references point to files not present in the bundle.

Suggestions

Expand the Transformation Pipeline steps beyond labels: give concrete guidance for what DEDUPE, EXTRACT, STRUCTURE, and COMPRESS each do (e.g., specific heuristics or an explicit before/after mapping).

Add a brief validation/self-check step (e.g., confirm information retention >95% and intent preserved before emitting the refined prompt) to strengthen workflow clarity.

Either provide the referenced files (guide/ecosystem/ai-ecosystem.md, examples/before-after.md) as bundle files or remove the See Also links to avoid dangling references.

DimensionReasoningScore

Conciseness

The body is lean with compact tables (Flags, Compression Metrics) and a tight Filtering Rules block, avoiding explanation of concepts Claude already knows; a few sections (the long French example, the conceptual pipeline) could be trimmed slightly, so not a 5.

4 / 5

Actionability

The Output Format template and Filtering Rules (specific words to remove/preserve) are concrete, but the core Transformation Pipeline (DEDUPE, EXTRACT, STRUCTURE, COMPRESS) is presented as abstract labels without specifics on how each step is executed, leaving the central guidance incomplete.

3 / 5

Workflow Clarity

The four-step pipeline (DEDUPE → EXTRACT → STRUCTURE → COMPRESS) gives a clear sequence, and the operation is non-destructive (producing a refined prompt) so explicit validation checkpoints are not critical; it lacks any verification/feedback step, preventing a 5.

4 / 5

Progressive Disclosure

Content is well-organized into clear, self-contained sections with a clearly signaled one-level "See Also" reference list; however the referenced files (guide/ecosystem/ai-ecosystem.md, examples/before-after.md) do not exist as bundle files, a minor organization gap.

4 / 5

Total

15

/

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, well-structured description that clearly states both capability and trigger conditions with natural user-facing phrases. Minor room to broaden trigger synonyms and surface more sub-actions.

DimensionReasoningScore

Specificity

"Transform verbose voice input into structured, token-efficient Claude prompts" names a concrete action, and the description enumerates specific things processed ("filler words, repetitions, and unstructured thoughts"); it stops short of listing the full pipeline of sub-actions, so it is not a 5.

4 / 5

Completeness

It explicitly answers both "what" (transform verbose voice input into structured, token-efficient Claude prompts) and "when" ("Use when cleaning up voice memos, dictation output, or speech-to-text transcriptions...") with concrete trigger phrases.

5 / 5

Trigger Term Quality

Natural user phrases like "voice memos", "dictation output", and "speech-to-text transcriptions" give good coverage, but a few common variants (e.g. "transcribe", "whisper transcription") are missing, keeping it just below comprehensive.

4 / 5

Distinctiveness Conflict Risk

The voice/dictation/speech-to-text niche has distinct triggers and minimal overlap with other skills; a user mentioning voice memos or dictation output would clearly select this skill.

5 / 5

Total

18

/

20

Passed

Validation

93%

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

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

15

/

16

Passed

Repository
FlorianBruniaux/claude-code-ultimate-guide
Reviewed

Table of Contents

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