Content
92%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A tightly written, highly actionable multi-step workflow with concrete commands and explicit validation checkpoints. Its main weakness is structure: everything lives in one file with no progressive disclosure to separate reference materials, and the graph-schema reference is inline rather than offloaded.
Suggestions
Move the 'Graph Structure Reference' (node/edge/layer/tour schemas) into a references/ file (e.g. knowledge-graph-schema.md) and link to it from the body, so the SKILL.md stays a concise overview.
Consider extracting the diff-overlay JSON shape from step 8 into a small reference or script so the core analysis workflow reads more cleanly.
Add a one-line pointer at the top of the Instructions noting where detailed schema and overlay-format details live, signaling the one-level-deep references explicitly.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and operational — the graph-structure reference documents a custom schema Claude would not already know, and the instructions use terse commands with no padding explaining git or basic concepts. It assumes Claude's competence throughout. | 3 / 3 |
Actionability | It gives fully executable, copy-paste-ready commands such as 'git diff --name-only', 'git rev-parse --verify --end-of-options "${GRAPH_COMMIT_RAW}^{commit}"', and concrete Grep patterns for node/edge lookup. | 3 / 3 |
Workflow Clarity | Eight numbered steps form a clear sequence with explicit validation checkpoints (graph-freshness check in step 3, file-existence check in step 1) and conditional handling ('If not, tell the user to run /understand first', continue instead of blocking on missing metadata). | 3 / 3 |
Progressive Disclosure | The skill is a single monolithic file with no bundle files (references/scripts/assets absent) and no links to deeper material; the sizable 'Graph Structure Reference' section is inline reference content that could be split into a separate file. It is well-organized into sections but does not progressively disclose detail across files. | 2 / 3 |
Total | 11 / 12 Passed |