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.
The body is a strong, well-sequenced operational playbook with genuinely concrete decision rules, thresholds, and feedback loops. Its weaknesses are token efficiency (restating widely known quality-engineering fundamentals) and the absence of any progressive disclosure — the full reference material is monolithically inlined rather than split into linked reference files.
Suggestions
Move the pure reference material — Regulatory Frameworks, Cost of Quality, and the Performance Indicators and escalation tables — into one-level-deep files under references/ (e.g., references/regulatory.md, references/metrics.md) and link them from SKILL.md, keeping the core lifecycle, decision frameworks, and edge cases inline.
Cut restatements of general knowledge (6M fishbone categories, Western Electric rule definitions, Cp/Cpk basics, COQ category definitions) and keep only the domain-specific thresholds and decision rules those sections anchor.
Expand the three brief communication templates into one fully worked NCR/SCAR example each so they are copy-paste ready rather than skeletons requiring adaptation.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Much of the body adds genuine domain calibration (thresholds, timelines, regulatory citations), but several sections restate concepts Claude already knows — the 6M fishbone categories, the enumerated Western Electric rules, Cp/Cpk definitions, and Juran's COQ categories — plus role-scene padding ('You are a senior quality engineer with 15+ years...'). Not 2: it is not heavily padded; most content carries decision data Claude would not reliably recall. Not 4: the foundational-knowledge restatements are recurring enough that the document could be cut by a third without losing guidance value. | 3 / 5 |
Actionability | Guidance is concrete and directly usable: specific thresholds ('If rework cost exceeds 60% of replacement cost, scrap'), sequenced disposition logic ('the first path that applies governs'), RCA method budgets, message templates with subject-line formats, and a bad-vs-good CAPA example ('Add torque verification step at Station 12 with calibrated torque wrench (±2%)... effective by 2025-04-15'). Not 5: the communication templates are explicitly 'brief' skeletons with an 'adapt them... before using' caveat rather than fully worked, copy-paste-ready examples. Not 3: for an instruction-only skill, the guidance is specific and executable, not vague direction. | 4 / 5 |
Workflow Clarity | The 'How It Works' section gives a clear 6-step lifecycle (detect → contain → classify → investigate → dispose → verify), the CAPA section builds in explicit validation checkpoints (verification vs. validation of effectiveness, containment before RCA), and there are feedback loops for error recovery — 'If recurrence occurs, the CAPA is not effective — reopen and re-investigate. Do not close and open a new CAPA.' Not 4: checklists, escalation timelines, and recurrence-driven recovery are all explicit, matching the top anchor. | 5 / 5 |
Progressive Disclosure | There are no bundle files (no references/, scripts/, or assets/) and no pointers to any — the entire knowledge base, including pure reference material (Regulatory Frameworks citations, Cost of Quality percentages, Performance Indicators tables, the 5-level supplier escalation ladder), is inlined in a ~240-line SKILL.md. Not 4: content that clearly belongs in separate reference files is inline with no one-level-deep links. Not 2: the body is well-structured with clear, navigable section headers, so it is not an unstructured wall of text. | 3 / 5 |
Total | 15 / 20 Passed |