Content
77%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, well-crafted skill that provides highly actionable guidance for intent extraction through a structured interview process. Its greatest strengths are the concrete formats (hypothesis + confidence, Q + guess, 6-field restate), the testable stop condition, and the realistic before/after example. Its main weakness is verbosity — the explanatory sections (why one at a time, why attach a guess, common rationalizations, interaction with other skills) add significant token cost and could be trimmed or moved to reference files.
Suggestions
Move the 'Common Rationalizations' table and 'Interaction with Other Skills' section to a separate reference file to reduce token cost in the main skill body.
Trim the 'Why one at a time' and 'Why attach a guess' explanations to 1-2 lines each — Claude can infer the reasoning from the format requirements and examples.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is well-written and most content earns its place, but it's verbose in places — the 'Common Rationalizations' table, the extended 'Why one at a time' and 'Why attach a guess' explanations, and the 'Interaction with Other Skills' section add significant token cost. Some of this (e.g., explaining why batching is bad) is arguably teaching Claude things it could infer. However, the core process steps are tight and the example is genuinely useful. | 2 / 3 |
Actionability | The skill provides highly concrete, executable guidance: exact formats for hypotheses, questions with guesses, restates with a specific 6-field structure, explicit stop conditions with a testable criterion ('can I predict reactions to the next three questions?'), and concrete examples of what counts as confirmation vs. not. The before/after example demonstrates the process with realistic dialogue. | 3 / 3 |
Workflow Clarity | The 5-step process is clearly sequenced with explicit validation checkpoints: the 95% confidence stop condition is a testable gate, Step 5 has explicit criteria for what counts as confirmation vs. not, and there are feedback loops (fold corrections, restate, loop until explicit yes). The red flags and verification checklist provide additional guardrails. The process handles error recovery (e.g., 'three rounds without confidence rising → step back'). | 3 / 3 |
Progressive Disclosure | The content is well-structured with clear sections and headers, but it's a monolithic document with no references to external files. At ~300+ lines, some content (Common Rationalizations table, Interaction with Other Skills, the extended example) could be split into separate reference files. The skill mentions saving to 'docs/intent/[topic].md' but has no bundle files. For a skill of this length, the lack of any content splitting is a minor weakness. | 2 / 3 |
Total | 10 / 12 Passed |