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quality-nonconformance

Codified expertise for quality control, non-conformance investigation, root cause analysis, corrective action, and supplier quality management in regulated manufacturing. Informed by quality engineers with 15+ years experience across FDA, IATF 16949, and AS9100 environments. Includes NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology. Use when investigating non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues.

71

Quality

88%

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SecuritybySnyk

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The canonical home for this skill is tdg-personal/quality-nonconformance

SKILL.md
Quality
Evals
Security

Quality

Content

77%

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is highly actionable with strong decision logic, templates, thresholds, and real feedback loops for verification. Its weaknesses are conciseness (prose padding and a long monolithic form) and progressive disclosure (no file splitting or references despite its size).

Suggestions

Trim explanatory lead-ins and the role-play introduction ('You are a senior quality engineer...') to reduce token overhead while keeping the concrete reference material — e.g. drop lines like 'SPC separates signal from noise. Misinterpreting charts causes more problems than not charting at all' in favor of direct guidance.

Split large reference blocks into one-level-deep files (e.g. REGULATORY.md for the four standards, TEMPLATES.md for NCR/SCAR/customer notification templates, SPC.md for chart selection and capability indices) and link them from a concise overview in SKILL.md to improve progressive disclosure.

Move any time-sensitive specifics (e.g. the 'effective by 2025-04-15' date in the CAPA example) into a clearly labeled deprecated/old-patterns note so they do not undermine conciseness as they age.

DimensionReasoningScore

Conciseness

The ~240-line body is rich in specialized reference material but padded with explanatory prose ('SPC separates signal from noise. Misinterpreting charts causes more problems than not charting at all') and a role-play intro ('You are a senior quality engineer with 15+ years...') that could be trimmed; it is mostly efficient but not lean enough for the top anchor, and not a 1 because the bulk is genuine domain expertise rather than concepts Claude already knows.

2 / 3

Actionability

Guidance is concrete and copy-paste ready: sequenced disposition logic, specific thresholds ('Cpk ≥ 1.33', 'AQL 1.0-2.5'), named templates with subject-line formats, and a concrete good/bad CAPA example ('Add torque verification step at Station 12 with calibrated torque wrench (±2%)...'), matching the fully-executable/specific-examples anchor; absence of code is acceptable for an instruction-only skill.

3 / 3

Workflow Clarity

Multi-step processes are clearly sequenced ('How It Works' 1–6, NCR Lifecycle, NCR Disposition Decision Logic 'the first path that applies governs') with explicit validation checkpoints and a feedback loop — CAPA Effectiveness Verification requires monitoring data, recurrence check, and states 'If recurrence occurs... reopen and re-investigate', satisfying the explicit-validation/error-recovery anchor.

3 / 3

Progressive Disclosure

The body is a single monolithic SKILL.md with no bundle files or external references; it is well-organized with clear headers and tables (above the wall-of-text 1) but for a skill this large, substantial content (regulatory frameworks, templates, SPC detail) could be split into one-level-deep reference files, so it falls short of the well-signaled-reference 3.

2 / 3

Total

10

/

12

Passed

Description

100%

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is concrete, trigger-rich, and complete with an explicit 'Use when' clause in third-person voice. It clearly conveys both capability and activation conditions for a distinct regulated-manufacturing niche.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions: 'non-conformance investigation, root cause analysis, corrective action, and supplier quality management' plus 'NCR lifecycle management, CAPA systems, SPC interpretation, and audit methodology', matching the multi-action anchor rather than the vague (1) or partial (2) levels.

3 / 3

Completeness

It explicitly answers both 'what' ('Codified expertise for... Includes NCR lifecycle management, CAPA systems...') and 'when' with an explicit 'Use when investigating non-conformances...' trigger clause, satisfying the both-what-and-when anchor; not 2 because the trigger is explicit rather than implied.

3 / 3

Trigger Term Quality

The 'Use when' clause surfaces natural domain terms a quality engineer would actually say — 'non-conformances, performing root cause analysis, managing CAPAs, interpreting SPC data, or handling supplier quality issues' — giving good coverage of common variations, above the partial-keyword (2) anchor.

3 / 3

Distinctiveness Conflict Risk

The regulated-manufacturing quality/non-conformance niche with specific triggers (NCR, CAPA, SPC, supplier quality) is clearly distinct and unlikely to fire for unrelated skills; not 2 because the triggers are narrow and specialized rather than broadly overlapping.

3 / 3

Total

12

/

12

Passed

Validation

81%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

13

/

16

Passed

Repository
affaan-m/ECC
Reviewed

Table of Contents

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