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error-debugging-multi-agent-review

Use when working with error debugging multi agent review

30

Quality

24%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

Fix and improve this skill with Tessl

tessl review fix ./skills/error-debugging-multi-agent-review/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

17%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 is heavily padded with conceptual explanations, marketing language, and non-executable pseudocode stubs that reference undefined classes and functions. It reads more like a design document or product pitch than actionable instructions for Claude. The content fails to provide concrete, executable guidance and wastes significant token budget on information Claude already knows or cannot act upon.

Suggestions

Replace all pseudocode stubs with executable, copy-paste ready code or remove them entirely — the current placeholder classes (ConflictResolutionEngine, QualityScoreCalculator, etc.) provide no actionable value.

Cut the conceptual/marketing content (Context and Purpose section, bullet-point descriptions of Depth/Breadth/Intelligence/Adaptability) and reduce the skill to concrete steps: what to do, in what order, with what tools.

Add explicit validation checkpoints and error recovery steps — e.g., 'After agent results are collected, verify no agent returned errors before proceeding to synthesis.'

Either provide the referenced `resources/implementation-playbook.md` bundle file or remove the reference, and move detailed examples into properly linked supporting files to improve progressive disclosure.

DimensionReasoningScore

Conciseness

Extremely verbose with extensive conceptual explanations Claude already knows (what multi-agent coordination is, what context management means, what conflict resolution is). The document is heavily padded with marketing-style descriptions ('sophisticated AI-powered', 'transcend traditional single-perspective review approaches') and explains basic programming concepts through pseudocode that adds no real value.

1 / 5

Actionability

The code examples are pseudocode stubs with placeholder logic (e.g., `ConflictResolutionEngine()`, `QualityScoreCalculator.compute()`, `ReviewOptimizer.allocate_resources()`) that reference undefined classes and functions. None of the code is executable or copy-paste ready — it describes abstract patterns rather than providing concrete, working implementations Claude could actually use.

2 / 5

Workflow Clarity

While numbered sections suggest a sequence (agent selection → context management → execution → aggregation → conflict resolution → validation), there are no explicit validation checkpoints, no error recovery feedback loops, and no clear step-by-step workflow for actually performing a review. The 'Quality Validation Framework' section is just another pseudocode stub with no actionable validation steps.

2 / 5

Progressive Disclosure

The content is a monolithic wall of text (~200+ lines) with no bundle files provided despite referencing `resources/implementation-playbook.md` which doesn't exist. The bulk of the pseudocode examples and conceptual explanations should be split into separate reference files, with the SKILL.md serving as a concise overview. The reference to a non-existent file is misleading.

2 / 5

Total

7

/

20

Passed

Description

31%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.

This description is extremely weak, providing only a vague 'Use when' clause without any explanation of what the skill actually does. It lacks concrete actions, comprehensive trigger terms, and a clear 'what' component, making it difficult for Claude to confidently select this skill over others.

Suggestions

Add a clear 'what' component describing specific actions the skill performs, e.g., 'Coordinates multiple AI agents to review and debug errors in code, identifying root causes and suggesting fixes.'

Expand trigger terms with natural synonyms and variations, e.g., 'bug fixing, troubleshooting, code review, multi-agent workflow, error analysis'.

Restructure to follow the pattern: '[What it does]. Use when [specific trigger conditions].' to ensure both components are explicitly covered.

DimensionReasoningScore

Specificity

The description contains no concrete actions whatsoever. It does not describe what the skill does—only vaguely references 'error debugging multi agent review' without specifying any capabilities.

1 / 5

Completeness

It has a 'when' clause ('Use when working with...') but completely lacks a 'what' component—there is no description of what the skill actually does. Per the rubric, this maps to 'only when is present without what.'

2 / 5

Trigger Term Quality

It includes some relevant keywords like 'error debugging' and 'multi agent review' that a user might mention, but lacks synonyms, variations, or natural phrasing. The terms are somewhat niche but not comprehensive.

3 / 5

Distinctiveness Conflict Risk

The combination of 'error debugging' and 'multi agent review' is somewhat specific and narrows the domain, but the lack of concrete actions means it could still overlap with general debugging or code review skills.

3 / 5

Total

9

/

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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