Content
77%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-crafted skill for grounding Claude's responses in a specific talk transcript. Its greatest strengths are the highly actionable, clearly sequenced workflows for each use case and the careful handling of edge cases (speech-to-text artifacts, speaker attribution, out-of-scope questions). The main weakness is moderate repetition across the five subsections — the core 'consult outline → read transcript → quote verbatim' pattern could be factored out into a shared preamble to save tokens.
Suggestions
Factor out the repeated 'read outline.md → read transcript.md → quote verbatim → cite line numbers' pattern into a single shared procedure referenced by each subsection, reducing token cost by ~30%.
Consider splitting the five 'How to help' subsections into a separate reference file (e.g., WORKFLOWS.md) with the SKILL.md providing a concise overview and links, improving progressive disclosure.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is moderately efficient — the grounding rules and task-specific sections are well-structured, but there's noticeable repetition across sections (e.g., the 'read outline.md → read transcript.md → quote verbatim' pattern is restated nearly identically in every subsection). The opening summary paragraph is somewhat long but does contain useful context. Some tightening is possible without losing clarity. | 2 / 3 |
Actionability | Each section provides concrete, step-by-step instructions for how to handle different user request types. The guidance is specific: which files to consult, in what order, how to quote, how to handle gaps, how to mark non-talk content. The speaker attribution rules and speech-to-text artifact handling are particularly actionable and precise. | 3 / 3 |
Workflow Clarity | Each workflow (factual Q&A, applying the approach, teaching concepts, drafting artifacts, proactive surfacing) is clearly sequenced with numbered steps. Validation checkpoints are present — e.g., checking outline.md before transcript.md, verifying claims exist before answering, flagging when content goes beyond the talk. The feedback loops for edge cases (claim not in transcript, approach doesn't fit user's situation) are explicit. | 3 / 3 |
Progressive Disclosure | The skill references supporting files (outline.md, transcript.md, quotes.md) appropriately and with clear navigation signals. However, no bundle files were provided, so we can't verify the references resolve correctly. The content itself is somewhat monolithic — the five subsections under 'How to help with this talk' could potentially be split into separate reference files given their length and repetitive structure, though for a skill of this size it's borderline acceptable. | 2 / 3 |
Total | 10 / 12 Passed |