Content
88%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 high-quality, actionable skill body with copy-paste GraphQL, precise thresholds, and strong validation/feedback loops for both the batch write and the destructive prune path. Only minor conciseness and structural-split refinements would push it higher.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The body is lean and assumes Claude's competence — no padding about what Fireflies or a CRM is — with every phase and gotcha (User-Agent header, transcripts cap of 50, ASR garble thresholds) earning its place; a few explanatory asides like 'the historical convention' could be trimmed. | 4 / 5 |
Actionability | Fully executable guidance: exact GraphQL queries for every operation, a copy-paste Python helper, precise matching rules, and concrete numeric thresholds (>=15 sentences, >=4 words/sentence) for the content-quality gate. | 5 / 5 |
Workflow Clarity | A clearly sequenced Phase 0–6 flow with explicit validation checkpoints — prerequisite key check, content-readiness skip, dedup-before-write, read-back verification, and for --prune an explicit confirm-then-delete-then-verify loop with irreversible-deletion warnings. | 5 / 5 |
Progressive Disclosure | Well-organized with clear section headers and a dedicated Reference queries block; no bundle files exist so everything is inlined, and the sizable GraphQL reference could conceivably live in a separate file, but single-file placement is reasonable and easy to navigate. | 4 / 5 |
Total | 18 / 20 Passed |