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analyze-issue

Analyze a GitHub issue and create a detailed technical specification

36

Quality

33%

Does it follow best practices?

Impact

No eval scenarios have been run

SecuritybySnyk

Advisory

Suggest reviewing before use

Fix and improve this skill with Tessl

tessl review fix ./plugins/git/skills/analyze-issue/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

35%

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

This skill provides a reasonable template-driven workflow for creating technical specifications from GitHub issues, but suffers from verbosity, vague intermediate steps, and lack of validation checkpoints. The template itself is largely boilerplate that Claude could generate without explicit instruction, and the actionable details (file naming, save paths) are buried among unnecessary content.

Suggestions

Remove vague steps like 'Understand the requirements thoroughly' and 'Review related code and project structure'—Claude already knows to do this. Focus only on project-specific conventions and constraints.

Add a validation step after spec creation, such as checking that all template sections are filled and that referenced files actually exist in the project.

Extract the spec template into a separate template file (e.g., `specs/templates/issue-spec-template.md`) and reference it, keeping the SKILL.md focused on the workflow and project-specific rules.

Inline the key details from `load-issues.md` needed for fetching issues (e.g., the specific command or API call) rather than requiring Claude to read another file for basic operation.

DimensionReasoningScore

Conciseness

The skill is verbose with significant padding. The template sections (Issue Summary, Problem Statement, etc.) are largely things Claude already knows how to produce. The step-by-step instructions explain obvious things like 'Understand the requirements thoroughly' and 'Review related code and project structure' which add no value. The example at the end and the confirmation instructions are unnecessarily detailed.

1 / 3

Actionability

There is some concrete guidance—file naming patterns, output paths, and a template format—but the core steps are vague ('Understand the requirements thoroughly', 'Review related code and project structure'). No executable code or specific commands are provided. The reference to `load-issues.md` for fetching issues delegates the actual actionable content elsewhere without inlining the key details.

2 / 3

Workflow Clarity

Steps are listed in a reasonable sequence (check if loaded → fetch → analyze → create spec → save), but there are no validation checkpoints. There's no guidance on what to do if the issue doesn't exist, if the GitHub fetch fails, or how to verify the spec is complete and correct before saving. The workflow is present but lacks feedback loops.

2 / 3

Progressive Disclosure

The skill references `./claude/commands/load-issues.md` for fetching issue details, which is a reasonable one-level-deep reference. However, no bundle files are provided to verify this reference exists, and the bulk of the content (the entire template) is inline when it could be a separate template file. The organization is flat rather than well-structured.

2 / 3

Total

7

/

12

Passed

Description

32%

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 too brief and lacks both detailed capability listing and explicit trigger guidance. While it identifies a recognizable domain (GitHub issues → technical specs), it doesn't provide enough information for Claude to confidently select this skill over others in a large skill library. Adding concrete actions and a 'Use when...' clause would significantly improve it.

Suggestions

Add a 'Use when...' clause with trigger terms like 'when the user asks to turn a GitHub issue into a spec', 'implementation plan', 'tech spec', 'design document'.

List specific concrete actions the skill performs, e.g., 'Parses issue requirements, identifies acceptance criteria, outlines architecture decisions, and produces a structured technical specification document'.

Include common keyword variations users might use: 'spec', 'tech spec', 'design doc', 'issue analysis', 'implementation plan', 'feature specification'.

DimensionReasoningScore

Specificity

Names the domain (GitHub issues, technical specifications) and describes two actions (analyze and create), but lacks detail on what the analysis entails or what the specification includes.

2 / 3

Completeness

Describes what the skill does at a high level but completely lacks a 'Use when...' clause or any explicit trigger guidance, which per the rubric caps completeness at 2, and the 'what' is also quite thin, warranting a 1.

1 / 3

Trigger Term Quality

Includes relevant terms like 'GitHub issue' and 'technical specification', but misses common variations users might say such as 'spec', 'design doc', 'issue breakdown', 'implementation plan', or 'tech spec'.

2 / 3

Distinctiveness Conflict Risk

The combination of GitHub issue analysis and technical specification creation is somewhat specific, but could overlap with general planning, project management, or code review skills without clearer boundaries.

2 / 3

Total

7

/

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.

Validation9 / 11 Passed

Validation for skill structure

CriteriaDescriptionResult

allowed_tools_field

'allowed-tools' contains unusual tool name(s)

Warning

frontmatter_unknown_keys

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

Warning

Total

9

/

11

Passed

Repository
NeoLabHQ/context-engineering-kit
Reviewed

Table of Contents

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