Content
92%Weight 40%Scale 1-3Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
A high-quality, executable, well-sequenced workflow with strong validation feedback loops for both batch writes and destructive pruning. The only soft spot is progressive disclosure: the skill is a single self-contained file with no split-out reference material despite its length.
Suggestions
Move the "Reference queries" GraphQL block into a references/ file (e.g. references/queries.graphql.md) and link to it from the phases, so SKILL.md stays an overview.
Pull the note-format template (Phase 3) into a short references/recap-template.md so the inline format block does not inflate the main body.
Consider extracting the Phase 2 matching rules (email/domain maps, free-provider list, ambiguity handling) into a references/matching.md linked from Phase 2.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Lean and action-oriented throughout — no basic-concept explanations, no library discourse; every phase adds operational detail Claude would not already know (the 50-cap, free-provider list, ASR thresholds). It is not the level-2 anchor because there is no padded introductory explanation. | 3 / 3 |
Actionability | Provides a complete executable `gql()` helper and copy-paste-ready GraphQL for every operation, plus concrete thresholds (>=15 sentences, >=4 words/sentence) and an exact free-provider blocklist — fully executable guidance. | 3 / 3 |
Workflow Clarity | Six numbered phases with explicit validation checkpoints: Phase 0 stops on missing keys, Phase 4 reads notes back to verify, Phase 6 confirms and re-lists to verify deletion, with a dedup check before writing. No batch/destructive gap to cap it at 2. | 3 / 3 |
Progressive Disclosure | Well-organized into phases, but the ~200-line body is monolithic with all GraphQL references inline and no bundle files (references/scripts/assets absent); the inline reference block is content that could be split out for one-level-deep navigation. | 2 / 3 |
Total | 11 / 12 Passed |