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production-scheduling

Codified expertise for production scheduling, job sequencing, line balancing, changeover optimisation, and bottleneck resolution in discrete and batch manufacturing.

52

Quality

57%

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tessl review fix ./plugins/AI-Agents-Safe-Coding-Skills-claude/skills/production-scheduling/SKILL.md

The canonical home for this skill is production-scheduling in administrakt0r/AI-Agents-Safe-Coding-Skills

SKILL.md
Quality
Evals
Security

Quality

Content

56%Scale 1-5

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

This skill demonstrates deep domain expertise in production scheduling with well-structured decision frameworks and clear escalation protocols. However, it is severely over-length, spending hundreds of tokens explaining manufacturing concepts (OEE, SMED, DBR, MRP) that Claude already knows, violating the core principle that skills should add only what Claude doesn't already know. The actionable decision trees and communication patterns are the strongest elements, but they're buried in textbook-level exposition.

Suggestions

Cut the 'Core Knowledge' section by 70-80%: remove explanations of well-known concepts (OEE formula, SMED phases, forward/backward scheduling definitions) and retain only the facility-specific decision rules and thresholds that Claude wouldn't know by default.

Move the 'Scheduling Fundamentals', 'OEE', and 'ERP/MES Interaction Patterns' sections to reference files, keeping only the decision-relevant parameters (e.g., buffer zone thresholds, utilization targets) inline.

Remove the duplicate 'When to Use' section that appears at both the top and bottom of the file.

Add concrete artifacts: a sample schedule table format, a setup matrix template, or a specific re-sequencing calculation example rather than describing them abstractly.

DimensionReasoningScore

Conciseness

The skill is extremely verbose at ~400+ lines, extensively explaining concepts Claude already knows (what forward/backward scheduling is, what OEE stands for, how MRP works, basic SMED methodology). Much of this is textbook manufacturing knowledge that Claude possesses natively. The 'Role and Context' paragraph alone is heavily padded with unnecessary detail about facility size and system names.

2 / 5

Actionability

The decision frameworks provide concrete, step-by-step decision trees (job priority sequencing, changeover optimization with specific heuristics, disruption re-sequencing with time-bound actions). However, there is no executable code, no specific tool commands, and the guidance remains at the procedural/conceptual level rather than providing copy-paste artifacts like schedule templates or calculation formulas.

4 / 5

Workflow Clarity

Multi-step workflows are clearly sequenced (disruption re-sequencing has 5 explicit steps, bottleneck identification has 5 steps, changeover optimization has 5 steps). The disruption framework includes a stability lock and communication timeline. However, explicit validation/verification checkpoints are mostly implicit ('validate against due dates') rather than having clear feedback loops with error recovery paths.

4 / 5

Progressive Disclosure

The skill references external files (edge-cases.md, communication-templates.md, decision-frameworks.md) which is good structure, but the main file is massively overloaded with textbook content that should either be in reference files or omitted entirely. The core scheduling fundamentals, OEE calculations, and ERP interaction patterns sections are all candidates for separate reference files rather than inline content. No bundle files were provided to verify references exist.

3 / 5

Total

13

/

20

Passed

Description

58%Scale 1-5

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 names a clear domain (discrete and batch manufacturing) and lists several concrete operational tasks, giving it reasonable specificity and distinctiveness. However, it lacks an explicit 'Use when...' clause, which is critical for Claude to know when to select this skill. The trigger terms are relevant but lean technical and miss common user-facing synonyms.

Suggestions

Add an explicit 'Use when...' clause with trigger phrases, e.g., 'Use when the user asks about factory scheduling, production planning, manufacturing bottlenecks, or optimizing production lines.'

Include natural synonyms and related terms users might say, such as 'factory schedule', 'production plan', 'capacity planning', 'throughput optimization', 'shop floor scheduling'.

Replace the abstract opener 'Codified expertise for' with active verbs describing what the skill does, e.g., 'Generates production schedules, sequences jobs, balances lines...'

DimensionReasoningScore

Specificity

Lists several specific actions: production scheduling, job sequencing, line balancing, changeover optimisation, and bottleneck resolution. Also specifies the domain (discrete and batch manufacturing). Minor gaps in that it doesn't describe concrete outputs or methods, but the actions are fairly specific.

4 / 5

Completeness

The 'what' is reasonably clear — it covers production scheduling, sequencing, balancing, changeover optimization, and bottleneck resolution. However, there is no explicit 'when' clause or trigger guidance (no 'Use when...' statement), which caps this dimension at 3 per the rubric guidelines.

3 / 5

Trigger Term Quality

Includes relevant domain terms like 'production scheduling', 'job sequencing', 'line balancing', 'changeover', and 'bottleneck', but misses common user-facing synonyms and natural phrases users might say (e.g., 'factory schedule', 'production plan', 'throughput', 'capacity planning', 'shop floor', 'manufacturing optimization'). The terms lean somewhat technical.

3 / 5

Distinctiveness Conflict Risk

The description is fairly distinct by specifying discrete and batch manufacturing contexts along with specific operations like line balancing and changeover optimisation. There's minor overlap risk with general operations research or supply chain skills, but the manufacturing focus narrows it well.

4 / 5

Total

14

/

20

Passed

Validation

90%

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

Validation10 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

frontmatter_unknown_keys

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

Warning

Total

10

/

11

Passed

Repository
administrakt0r/AI-Agents-Safe-Coding-Skills
Reviewed

Table of Contents

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