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atlassian-mcp

Integrates with Atlassian products to manage project tracking and documentation via MCP protocol. Use when querying Jira issues with JQL filters, creating and updating tickets with custom fields, searching or editing Confluence pages with CQL, managing sprints and backlogs, setting up MCP server authentication, syncing documentation, or debugging Atlassian API integrations.

70

Quality

85%

Does it follow best practices?

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SKILL.md
Quality
Evals
Security

Quality

Content

78%Weight 40%Scale 1-5

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

The body is well-structured and actionable with concrete examples and a clean reference table, satisfying the destructive/batch validation requirement. Improvements would be adding an explicit fix-retry feedback loop and a concrete tool-call implementation example.

Suggestions

Add an explicit validate-fix-retry feedback loop to the Core Workflow (e.g., 'if the maxResults=1 probe fails, fix the JQL/CQL and re-probe before full execution') to lift workflow_clarity.

Show a concrete MCP tool-call implementation snippet with error handling instead of only listing it in the Output Templates.

Trim the 'When to Use This Skill' list to avoid duplicating the frontmatter description's triggers, improving token efficiency.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence, avoiding concept over-explanation, but the 'When to Use This Skill' list partially duplicates the description's triggers and could be tightened.

4 / 5

Actionability

Provides copy-paste-ready JQL, CQL, and MCP server JSON config, but the 'Tool call implementation with error handling' is only described in the Output Templates list rather than shown as concrete code.

4 / 5

Workflow Clarity

A clear 6-step Core Workflow with explicit validation checkpoints ('validate with maxResults=1', 'read-only probe before any write or bulk operation'), but it lacks an explicit validate-fix-retry feedback loop for error recovery.

4 / 5

Progressive Disclosure

SKILL.md is a clear overview with a well-signaled Reference Guide table pointing one level deep to five real bundle files, each with a 'Load When' cue, making navigation easy.

5 / 5

Total

17

/

20

Passed

Description

92%Weight 40%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 is well-crafted: third-person voice, concrete action list, explicit 'Use when' triggers, and a distinct Atlassian/MCP niche. Minor gains are possible by adding a few more natural synonyms such as 'wiki' or 'boards'.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions — 'querying Jira issues with JQL filters', 'creating and updating tickets with custom fields', 'searching or editing Confluence pages with CQL', 'managing sprints and backlogs' — with comprehensive coverage of the skill's capabilities.

5 / 5

Completeness

Clearly answers 'what' ('Integrates with Atlassian products to manage project tracking and documentation via MCP protocol') and 'when' with an explicit 'Use when...' clause enumerating concrete trigger phrases.

5 / 5

Trigger Term Quality

Strong natural terms users would say (Jira, Confluence, JQL, CQL, sprints, backlogs, tickets), but a few natural synonyms such as 'wiki' or 'boards' are missing, placing it just below the comprehensive anchor.

4 / 5

Distinctiveness Conflict Risk

A clear Atlassian/MCP niche with distinct product- and query-language triggers (Jira, Confluence, JQL, CQL) makes conflict with other skills minimal.

5 / 5

Total

19

/

20

Passed

Validation

100%

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

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
Jeffallan/claude-skills
Reviewed

Table of Contents

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