Content
70%Weight 40%Scale 1-5Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A well-engineered destructive-operation workflow: concrete tool payloads, exact user-facing formats, explicit confirmation checkpoints, and thorough error-recovery paths. Its weaknesses are token efficiency — the request-routing logic is stated twice and the examples repeat the same confirmation template five times — and a monolithic 400-line layout that inlines a large examples section that belongs in a reference file.
Suggestions
Collapse the 'Detecting Request Specificity' section into 'Step 2: Smart Config Matching' — they describe the same specific/vague/delete-all routing twice; state it once.
Move the five Example Conversations to a references/examples.md and keep one or two inline, cutting ~120 lines; this also fixes the monolithic progressive-disclosure structure.
Trim the repeated confirmation-template reprints inside examples (readers have the exact format from Step 5) and tighten Step 5's 'Format rules' bullets, which restate the visible template.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is mostly efficient (no concept explanations, no library tutorials), but is padded by real duplication: the "Detecting Request Specificity" section restates routing that "Step 2: Smart Config Matching" covers again in more detail, and the 150-line Examples section re-prints the identical confirmation template five times. Not a 2 because nearly all content is actionable instruction rather than explanation; not a 4 because the duplicated routing section and repetitive examples could be cut noticeably without losing information. | 3 / 5 |
Actionability | Concrete, near copy-paste guidance throughout: exact tool payloads ("operation": "list", "scope": "workspace", "excludeDefaults": true), an exact confirmation message format with field rules, and worked example dialogues. Not a 5 because the similarity matching is left vague ("Use Levenshtein distance or similar algorithm" with no threshold beyond '>80% similarity' and no implementation), and code blocks are labeled ```typescript while containing JSON with comments ("// No parameters needed"), so they are not literally executable as-is. | 4 / 5 |
Workflow Clarity | A clearly sequenced Steps 1–7 workflow with explicit validation checkpoints for a destructive operation: mandatory workspace query first, "STOP and wait for their answer", mandatory confirmation with an exact message including "This action cannot be undone.", and covered error/recovery paths (no match → suggest similar, duplicates → ask which, empty list → inform user and explicitly do not retry with excludeDefaults: false). The rubric's destructive-operation cap does not apply because validation before deletion is thorough and explicit. | 5 / 5 |
Progressive Disclosure | Sections are well-labeled and navigation within the body is fine, but the 408-line skill is entirely monolithic: the ~150-line Example Conversations block and the detailed matching case analysis clearly belong in a separate references file, and no bundle files exist to offload them. Not a 2 because the inline structure is genuinely organized with clear headers rather than a wall of text; not a 4 because a substantial chunk of content that should be split out (examples) is inlined. | 3 / 5 |
Total | 15 / 20 Passed |