Content
68%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-organized, largely executable instruction set covering audit, normalization, tagging, and vocabulary extension, with concrete commands, formats, and good separation of modes. Its main weakness is the batch normalization workflow lacking a post-write validation/feedback loop, which caps workflow clarity at 3; the mock audit report is also slightly longer than needed as a format illustration.
Suggestions
Add a verification step at the end of Mode 2 (Tag Normalization): re-run the audit scan and confirm unknown/alias tags are zero before reporting completion, creating an explicit fix-and-recheck feedback loop for the batch rewrite.
Trim the illustrative audit report to its structural skeleton (one or two example rows per table) so the output format is conveyed without a page of fabricated counts.
Move the full memory-sync/QMD procedure detail into the referenced MEMORY.md (or a short references/ file in this skill's bundle) and keep only the one-command summary inline.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is largely lean — rules, a compact visibility-tag table, and a worked before/after YAML example with no padding explaining concepts Claude already knows. The full mock audit report (lines 69–101) with fabricated counts is somewhat longer than needed to convey the output format, which is a minor trim opportunity; it is far from the noticeably-verbose anchor 2 and mostly at anchor 4. | 4 / 5 |
Actionability | Guidance is mostly executable: a concrete Glob pattern with exclusions, a ready-to-use report template, a copy-paste YAML before/after example, and runnable commands (`obsidian-wiki memory sync ...`, `${QMD_CLI:-qmd} update|embed|ls`). Minor gaps — e.g., "Write the updated frontmatter" and "Extract: tags field from YAML frontmatter" describe intent without exact mechanics — keep it just below fully copy-paste-ready anchor 5. | 4 / 5 |
Workflow Clarity | Each of the four modes has a clear sequenced procedure, and there are some checkpoints ("Ask the user before making changes to unknown tags"; audit-before-normalize; QMD failure handled without rollback). However, Mode 2 rewrites frontmatter in batch across many pages with no post-write verification (e.g., re-running the audit to confirm zero non-canonical tags remain), and the rubric explicitly caps batch operations lacking validation/feedback loops at 3. | 3 / 5 |
Progressive Disclosure | The single-file body is well-sectioned (Before You Start, taxonomy, reserved tags, four modes, post-op, QMD) with external procedures signaled one level deep (`llm-wiki/SKILL.md` config protocol, `.skills/llm-wiki/references/MEMORY.md`). The structure matches the good-organization anchor 4; the memory-sync details and the long audit-report template could arguably live in a reference file, and one reference path is external to the skill bundle, so it does not reach the cleanly split anchor 5. | 4 / 5 |
Total | 15 / 20 Passed |