Skill Grading Report: mastering-langgraph-agent-skill - Score 98/100 (A)

# 🏆 Skill Grading Report

**Score:** 98/100 | **Grade:** A

## Quick Summary

### Pillar Scores

| Pillar | Score | Max |
|--------|-------|-----|
| Spec Compliance | 15 | 15 |
| Progressive Disclosure | 27 | 30 |
| Ease of Use | 23 | 25 |
| Writing Style | 9 | 10 |
| Utility | 18 | 20 |
| Modifiers | +6 | ±15 |

### Issues Found: 2
- 🔴 High: 0
- 🟡 Medium: 0
- 🟢 Low: 2

## 📊 Full Grading Report

# Skill Evaluation Report: mastering-langgraph-agent-skill

**Links:**
- 📁 **GitHub:** [SpillwaveSolutions/mastering-langgraph-agent-skill](https://github.com/SpillwaveSolutions/mastering-langgraph-agent-skill/blob/main/SKILL.md)
- 🛒 **Marketplace:** [View on SkillzWave](https://skillzwave.ai/skill/SpillwaveSolutions__mastering-langgraph-agent-skill__mastering-langgraph-agent-skill__SKILL/)
- 📊 **Tracking:** [All Graded Skills](https://github.com/SpillwaveSolutions/skill_improver/issues)

**Evaluated:** 2025-12-29
**Files Reviewed:** SKILL.md, README.md, references/production-deployment.md, references/debugging-monitoring.md, references/multi-agent-patterns.md, references/official-resources.md, references/workflow-patterns.md, references/hitl-patterns.md, references/core-api.md, references/tool-agent-pattern.md, references/persistence-memory.md
**Grading Model:** Claude (default) (via claude)

---

## Overall Score: 98/100

| Pillar | Score | Max |
|--------|-------|-----|
| Progressive Disclosure Architecture | 27 | 30 |
| Ease of Use | 23 | 25 |
| Spec Compliance | 15 | 15 |
| Writing Style | 9 | 10 |
| Utility | 18 | 20 |
| Modifiers | +6 | ±15 |

**Grade: A**

---

## Executive Summary

This skill demonstrates excellent quality with a score of 98/100. Strongest area: **Spec Compliance** (15/15).

---

## Detailed Scores

### Progressive Disclosure Architecture (27/30)

| Criterion | Score | Max | Assessment |
|-----------|-------|-----|------------|
| Token Economy | 9 | 10 | Dense, practical content with minimal fluff; code examples are essential and well-chosen |
| Layered Structure | 9 | 10 | SKILL.md is concise overview with 8 reference files for deep dives; excellent separation of concerns |
| Reference Depth | 4 | 5 | All references one level deep; some references link to external official docs which is appropriate |
| Navigation Signals | 5 | 5 | Every file >100 lines has Contents/TOC; clear section headers with horizontal rules |

### Ease of Use (23/25)

| Criterion | Score | Max | Assessment |
|-----------|-------|-----|------------|
| Metadata Quality | 9 | 10 | Name follows conventions; description has 6+ trigger phrases covering key use cases |
| Discoverability | 6 | 6 | Excellent trigger terms: 'LangGraph agent', 'stateful workflow', 'human-in-the-loop', 'multi-agent' |
| Terminology Consistency | 4 | 4 | Consistent terminology: 'nodes', 'edges', 'state', 'checkpointer' used uniformly throughout |
| Workflow Clarity | 4 | 5 | Clear numbered steps in Development Workflow; checklists in Quick Verification section |

### Spec Compliance (15/15)

| Criterion | Score | Max | Assessment |
|-----------|-------|-----|------------|
| Frontmatter Validity | 5 | 5 | Valid YAML with required fields |
| Name Conventions | 4 | 4 | Correct hyphen-case format |
| Description Quality | 4 | 4 | Third-person with good trigger coverage |
| Optional Fields | 2 | 2 | Uses license, metadata |

### Writing Style (9/10)

| Criterion | Score | Max | Assessment |
|-----------|-------|-----|------------|
| Voice And Tense | 4 | 4 | Imperative form throughout: 'Build', 'Define', 'Use'; no second-person pronouns |
| Objectivity | 3 | 3 | Purely instructional; no marketing language or superlatives |
| Conciseness | 2 | 3 | Very dense and Claude-appropriate; minor redundancy in some code examples across files |

### Utility (18/20)

| Criterion | Score | Max | Assessment |
|-----------|-------|-----|------------|
| Problem Solving Power | 7 | 8 | Addresses real capability gap for LangGraph development; covers agents, workflows, HITL, multi-agent |
| Degrees Of Freedom | 5 | 5 | Good balance: provides patterns and examples while allowing flexibility in implementation choices |
| Feedback Loops | 4 | 4 | Quick Verification checklists; Debug Checklist; Common Issues with fixes pattern throughout |
| Examples And Templates | 2 | 3 | Excellent code examples with expected output; could use more input/output pairs for edge cases |

### Modifiers Applied (+6)

**Penalties:** deeply_nested_references (-2)
**Bonuses:** copy_paste_checklists (+2), grep_friendly_structure (+1), exemplary_examples (+2), explicit_scope_boundaries (+1), trigger_phrases_4plus (+1), gerund_style_name (+1)

---

## Critical Issues (Top 2)

### Issue 1: Minor code redundancy across files

**Severity:** Low
**Location:** references/tool-agent-pattern.md, references/core-api.md
**Pillar Affected:** Writing Style

**Problem:** Some basic patterns like State definition repeated across files

**Current:**
```
AgentState TypedDict defined in both tool-agent-pattern.md and core-api.md
```

**Suggested Rewrite:**
```
Reference core-api.md for State basics in other files; show only variations
```

**Impact:** +1 points

---

### Issue 2: Missing edge case examples

**Severity:** Low
**Location:** SKILL.md:Common Pitfalls
**Pillar Affected:** Utility

**Problem:** Error scenarios shown but no complete input/output examples for debugging

**Current:**
```
Code snippets show fixes but not full context
```

**Suggested Rewrite:**
```
Add before/after execution examples showing actual error messages and fixed outputs
```

**Impact:** +1 points

---

## General Recommendations

1. Add trigger phrases to description for discoverability
2. Add table of contents for files over 100 lines

---

## Grade Scale

| Grade | Score | Description |
|-------|-------|-------------|
| A | 90-100 | Production-ready |
| B | 80-89 | Good, minor work |
| C | 70-79 | Adequate, gaps |
| D | 60-69 | Needs work |
| F | <60 | Major revision |

---

---

## About This Report

This evaluation uses the [improving-skills 5-pillar rubric](https://github.com/anthropics/claude-code/tree/main/skills/improving-skills).

**Powered by:**
- [SkillzWave](https://skillzwave.ai) - Claude Skills Marketplace
- [SpillWave](https://spillwave.com) - AI Solutions

*Report generated for [SpillwaveSolutions/mastering-langgraph-agent-skill](https://github.com/SpillwaveSolutions/mastering-langgraph-agent-skill/blob/main/SKILL.md)*

## JSON Output

```json
{
  "skill_name": "mastering-langgraph-agent-skill",
  "evaluated_at": "2025-12-29T11:02:09.688941",
  "files_reviewed": [
    "SKILL.md",
    "README.md",
    "references/production-deployment.md",
    "references/debugging-monitoring.md",
    "references/multi-agent-patterns.md",
    "references/official-resources.md",
    "references/workflow-patterns.md",
    "references/hitl-patterns.md",
    "references/core-api.md",
    "references/tool-agent-pattern.md",
    "references/persistence-memory.md"
  ],
  "scores": {
    "spec_compliance": {
      "total": 15,
      "max": 15,
      "breakdown": {
        "frontmatter_validity": {
          "score": 5,
          "max": 5,
          "assessment": "Valid YAML with required fields"
        },
        "name_conventions": {
          "score": 4,
          "max": 4,
          "assessment": "Correct hyphen-case format"
        },
        "description_quality": {
          "score": 4,
          "max": 4,
          "assessment": "Third-person with good trigger coverage"
        },
        "optional_fields": {
          "score": 2,
          "max": 2,
          "assessment": "Uses license, metadata"
        }
      }
    },
    "pda": {
      "total": 27,
      "max": 30,
      "breakdown": {
        "token_economy": {
          "score": 9,
          "max": 10,
          "assessment": "Dense, practical content with minimal fluff; code examples are essential and well-chosen"
        },
        "layered_structure": {
          "score": 9,
          "max": 10,
          "assessment": "SKILL.md is concise overview with 8 reference files for deep dives; excellent separation of concerns"
        },
        "reference_depth": {
          "score": 4,
          "max": 5,
          "assessment": "All references one level deep; some references link to external official docs which is appropriate"
        },
        "navigation_signals": {
          "score": 5,
          "max": 5,
          "assessment": "Every file >100 lines has Contents/TOC; clear section headers with horizontal rules"
        }
      }
    },
    "ease_of_use": {
      "total": 23,
      "max": 25,
      "breakdown": {
        "metadata_quality": {
          "score": 9,
          "max": 10,
          "assessment": "Name follows conventions; description has 6+ trigger phrases covering key use cases"
        },
        "discoverability": {
          "score": 6,
          "max": 6,
          "assessment": "Excellent trigger terms: 'LangGraph agent', 'stateful workflow', 'human-in-the-loop', 'multi-agent'"
        },
        "terminology_consistency": {
          "score": 4,
          "max": 4,
          "assessment": "Consistent terminology: 'nodes', 'edges', 'state', 'checkpointer' used uniformly throughout"
        },
        "workflow_clarity": {
          "score": 4,
          "max": 5,
          "assessment": "Clear numbered steps in Development Workflow; checklists in Quick Verification section"
        }
      }
    },
    "writing_style": {
      "total": 9,
      "max": 10,
      "breakdown": {
        "voice_and_tense": {
          "score": 4,
          "max": 4,
          "assessment": "Imperative form throughout: 'Build', 'Define', 'Use'; no second-person pronouns"
        },
        "objectivity": {
          "score": 3,
          "max": 3,
          "assessment": "Purely instructional; no marketing language or superlatives"
        },
        "conciseness": {
          "score": 2,
          "max": 3,
          "assessment": "Very dense and Claude-appropriate; minor redundancy in some code examples across files"
        }
      }
    },
    "utility": {
      "total": 18,
      "max": 20,
      "breakdown": {
        "problem_solving_power": {
          "score": 7,
          "max": 8,
          "assessment": "Addresses real capability gap for LangGraph development; covers agents, workflows, HITL, multi-agent"
        },
        "degrees_of_freedom": {
          "score": 5,
          "max": 5,
          "assessment": "Good balance: provides patterns and examples while allowing flexibility in implementation choices"
        },
        "feedback_loops": {
          "score": 4,
          "max": 4,
          "assessment": "Quick Verification checklists; Debug Checklist; Common Issues with fixes pattern throughout"
        },
        "examples_and_templates": {
          "score": 2,
          "max": 3,
          "assessment": "Excellent code examples with expected output; could use more input/output pairs for edge cases"
        }
      }
    }
  },
  "modifiers": {
    "penalties": [
      {
        "name": "deeply_nested_references",
        "points": -2
      }
    ],
    "bonuses": [
      {
        "name": "copy_paste_checklists",
        "points": 2
      },
      {
        "name": "grep_friendly_structure",
        "points": 1
      },
      {
        "name": "exemplary_examples",
        "points": 2
      },
      {
        "name": "explicit_scope_boundaries",
        "points": 1
      },
      {
        "name": "trigger_phrases_4plus",
        "points": 1
      },
      {
        "name": "gerund_style_name",
        "points": 1
      }
    ],
    "net": 6
  },
  "final_score": 98,
  "grade": "A",
  "critical_issues": [
    {
      "rank": 1,
      "title": "Minor code redundancy across files",
      "severity": "Low",
      "location": "references/tool-agent-pattern.md, references/core-api.md",
      "pillar": "Writing Style",
      "problem": "Some basic patterns like State definition repeated across files",
      "current": "AgentState TypedDict defined in both tool-agent-pattern.md and core-api.md",
      "suggested": "Reference core-api.md for State basics in other files; show only variations",
      "impact": "+1 points"
    },
    {
      "rank": 2,
      "title": "Missing edge case examples",
      "severity": "Low",
      "location": "SKILL.md:Common Pitfalls",
      "pillar": "Utility",
      "problem": "Error scenarios shown but no complete input/output examples for debugging",
      "current": "Code snippets show fixes but not full context",
      "suggested": "Add before/after execution examples showing actual error messages and fixed outputs",
      "impact": "+1 points"
    }
  ],
  "recommendations": [
    "Add trigger phrases to description for discoverability",
    "Add table of contents for files over 100 lines"
  ],
  "code_quality": null,
  "grading_model": "Claude (default)",
  "grading_provider": "claude"
}
```

---

## 📦 Recommended: Add Universal Installer Instructions

Consider adding these installation instructions to your README.md to help users install this skill across 14+ AI coding agents:

```markdown
## Installing with Skilz (Universal Installer)

The recommended way to install this skill across different AI coding agents is using the **skilz** universal installer.

### Install Skilz

```bash
pip install skilz
```

This skill supports [Agent Skill Standard](https://agentskills.io/) which means it supports 14 plus coding agents including Claude Code, OpenAI Codex, Cursor and Gemini.


### Git URL Options

You can use either `-g` or `--git` with HTTPS or SSH URLs:

```bash
# HTTPS URL
skilz install -g https://github.com/SpillwaveSolutions/mastering-langgraph-agent-skill

# SSH URL
skilz install --git git@github.com:SpillwaveSolutions/mastering-langgraph-agent-skill.git
```

### Claude Code

Install to user home (available in all projects):
```bash
skilz install -g https://github.com/SpillwaveSolutions/mastering-langgraph-agent-skill
```

Install to current project only:
```bash
skilz install -g https://github.com/SpillwaveSolutions/mastering-langgraph-agent-skill --project
```

### OpenCode

Install for [OpenCode](https://opencode.ai):
```bash
skilz install -g https://github.com/SpillwaveSolutions/mastering-langgraph-agent-skill --agent opencode
```

Project-level install:
```bash
skilz install -g https://github.com/SpillwaveSolutions/mastering-langgraph-agent-skill --project --agent opencode
```

### Gemini

Project-level install for Gemini:
```bash
skilz install -g https://github.com/SpillwaveSolutions/mastering-langgraph-agent-skill --agent gemini
```

### OpenAI Codex

Install for OpenAI Codex:
```bash
skilz install -g https://github.com/SpillwaveSolutions/mastering-langgraph-agent-skill --agent codex
```

Project-level install:
```bash
skilz install -g https://github.com/SpillwaveSolutions/mastering-langgraph-agent-skill --project --agent codex
```


### Install from Skillzwave Marketplace
```
# Claude to user home dir ~/.claude/skills
skilz install SpillwaveSolutions_mastering-langgraph-agent-skill/mastering-langgraph-agent-skill

# Claude skill in project folder ./claude/skills
skilz install SpillwaveSolutions_mastering-langgraph-agent-skill/mastering-langgraph-agent-skill --project

# OpenCode install to user home dir ~/.config/opencode/skills
skilz install SpillwaveSolutions_mastering-langgraph-agent-skill/mastering-langgraph-agent-skill --agent opencode

# OpenCode project level
skilz install SpillwaveSolutions_mastering-langgraph-agent-skill/mastering-langgraph-agent-skill --agent opencode --project

# OpenAI Codex install to user home dir ~/.codex/skills
skilz install SpillwaveSolutions_mastering-langgraph-agent-skill/mastering-langgraph-agent-skill

# OpenAI Codex project level ./.codex/skills
skilz install SpillwaveSolutions_mastering-langgraph-agent-skill/mastering-langgraph-agent-skill --agent opencode --project


# Gemini CLI (project level) -- only works with project level
skilz install SpillwaveSolutions_mastering-langgraph-agent-skill/mastering-langgraph-agent-skill --agent gemini

```

See this site [skill Listing](https://skillzwave.ai/skill/SpillwaveSolutions__mastering-langgraph-agent-skill__mastering-langgraph-agent-skill__SKILL/) to see how to install this exact skill to 14+ different coding agents.


### Other Supported Agents

Skilz supports 14+ coding agents including Claude Code, OpenAI Codex, OpenCode, Cursor, Gemini CLI, GitHub Copilot CLI, Windsurf, Qwen Code, Aidr, and more.

For the full list of supported platforms, visit [SkillzWave.ai/platforms](https://skillzwave.ai/platforms/) or see the [skilz-cli GitHub repository](https://github.com/SpillwaveSolutions/skilz-cli)


<a href="https://skillzwave.ai/">Largest Agentic Marketplace for AI Agent Skills</a> and
<a href="https://spillwave.com/">SpillWave: Leaders in AI Agent Development.</a>

```

---

**Powered by:** [SkillzWave.ai](https://skillzwave.ai) | [SpillWave](https://spillwave.com)

Pillar	Score	Max
Spec Compliance	15	15
Progressive Disclosure	27	30
Ease of Use	23	25
Writing Style	9	10
Utility	18	20
Modifiers	+6	±15

Pillar	Score	Max
Progressive Disclosure Architecture	27	30
Ease of Use	23	25
Spec Compliance	15	15
Writing Style	9	10
Utility	18	20
Modifiers	+6	±15

Criterion	Score	Max	Assessment
Token Economy	9	10	Dense, practical content with minimal fluff; code examples are essential and well-chosen
Layered Structure	9	10	SKILL.md is concise overview with 8 reference files for deep dives; excellent separation of concerns
Reference Depth	4	5	All references one level deep; some references link to external official docs which is appropriate
Navigation Signals	5	5	Every file >100 lines has Contents/TOC; clear section headers with horizontal rules

Criterion	Score	Max	Assessment
Metadata Quality	9	10	Name follows conventions; description has 6+ trigger phrases covering key use cases
Discoverability	6	6	Excellent trigger terms: 'LangGraph agent', 'stateful workflow', 'human-in-the-loop', 'multi-agent'
Terminology Consistency	4	4	Consistent terminology: 'nodes', 'edges', 'state', 'checkpointer' used uniformly throughout
Workflow Clarity	4	5	Clear numbered steps in Development Workflow; checklists in Quick Verification section

Criterion	Score	Max	Assessment
Frontmatter Validity	5	5	Valid YAML with required fields
Name Conventions	4	4	Correct hyphen-case format
Description Quality	4	4	Third-person with good trigger coverage
Optional Fields	2	2	Uses license, metadata

Criterion	Score	Max	Assessment
Voice And Tense	4	4	Imperative form throughout: 'Build', 'Define', 'Use'; no second-person pronouns
Objectivity	3	3	Purely instructional; no marketing language or superlatives
Conciseness	2	3	Very dense and Claude-appropriate; minor redundancy in some code examples across files

Criterion	Score	Max	Assessment
Problem Solving Power	7	8	Addresses real capability gap for LangGraph development; covers agents, workflows, HITL, multi-agent
Degrees Of Freedom	5	5	Good balance: provides patterns and examples while allowing flexibility in implementation choices
Feedback Loops	4	4	Quick Verification checklists; Debug Checklist; Common Issues with fixes pattern throughout
Examples And Templates	2	3	Excellent code examples with expected output; could use more input/output pairs for edge cases

Grade	Score	Description
A	90-100	Production-ready
B	80-89	Good, minor work
C	70-79	Adequate, gaps
D	60-69	Needs work
F	<60	Major revision

Skill Grading Report: mastering-langgraph-agent-skill - Score 98/100 (A) #11

Description

🏆 Skill Grading Report

Quick Summary

Pillar Scores

Issues Found: 2

📊 Full Grading Report

Skill Evaluation Report: mastering-langgraph-agent-skill

Overall Score: 98/100

Executive Summary

Detailed Scores

Progressive Disclosure Architecture (27/30)

Ease of Use (23/25)

Spec Compliance (15/15)

Writing Style (9/10)

Utility (18/20)

Modifiers Applied (+6)

Critical Issues (Top 2)

Issue 1: Minor code redundancy across files

Issue 2: Missing edge case examples

General Recommendations

Grade Scale

About This Report

JSON Output

📦 Recommended: Add Universal Installer Instructions

Git URL Options

Claude Code

OpenCode

Gemini

OpenAI Codex

Install from Skillzwave Marketplace

Other Supported Agents

Metadata

Metadata

Assignees

Labels

Type

Projects

Milestone

Relationships

Development

Issue actions