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mastering-confluence

92.0
A

Comprehensive Confluence documentation management. Use when asked to "upload to Confluence", "download Confluence pages", "convert Markdown to Wiki Markup", "sync documentation to Confluence", "search Confluence", "create Confluence page", "update Confluence page", "export Confluence", "publish to Confluence", or "Confluence CQL query". Handles Wiki Markup conversion, Mermaid/PlantUML diagrams, image handling, large document uploads without size limits, and Git-to-Confluence sync with mark CLI.

#references#Wiki#Wiki Markup#guide.md#Markdown#agentic-skill#convert Markdown#Comprehensive Confluence

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Installation for Agentic Skill

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skilz install SpillwaveSolutions/mastering-confluence-agent-skill/mastering-confluence
skilz install SpillwaveSolutions/mastering-confluence-agent-skill/mastering-confluence --agent opencode
skilz install SpillwaveSolutions/mastering-confluence-agent-skill/mastering-confluence --agent codex
skilz install SpillwaveSolutions/mastering-confluence-agent-skill/mastering-confluence --agent gemini

First time? Install Skilz: pip install skilz

Works with 22+ AI coding agents

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Extract and copy to ~/.claude/skills/ then restart Claude Desktop

1. Clone the repository:
git clone https://github.com/SpillwaveSolutions/mastering-confluence-agent-skill
2. Copy the agent skill directory:
cp -r mastering-confluence-agent-skill ~/.claude/skills/

Need detailed installation help? Check our platform-specific guides:

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Agentic Skill Details

Type
Other
Meta-Domain
N/A
Primary Domain
N/A
Market Score
92.0

Agent Skill Grade

A
Score: 92/100 Click to see breakdown

Score Breakdown

Spec Compliance
15/15
PDA Architecture
27/30
Ease of Use
22/25
Writing Style
9/10
Utility
18/20
Modifiers: +1

Areas to Improve

  • File is 135 lines but lacks table of contents for navigation
  • Sample testing document section is quite long with redundant demonstration

Recommendations

  • Add trigger phrases to description for discoverability
  • Add table of contents for files over 100 lines

Graded: 1/18/2026

Developer Feedback

I took a look at your mastering-confluence skill and wanted to share some thoughts.

Links:

The TL;DR

You're at 92/100, solid A territory. This is based on Anthropic's agent skill best practices. Your strongest area is Spec Compliance (15/15) — the YAML frontmatter is clean and your trigger phrases cover a ton of Confluence workflows. Weakest spot is Utility (18/20), mostly because some feedback loops and constraint documentation could be tighter.

What's Working Well

  • Spec compliance is chef's kiss — Your SKILL.md frontmatter is pristine: valid YAML, correct naming conventions, and those trigger phrases (upload, download, convert, sync, search, CQL) are doing real work for discoverability. Someone searching for "convert Markdown to Wiki Markup" will find this.

  • PDA architecture is excellent — You kept SKILL.md lean at ~220 lines, then split the deep stuff into 10 focused reference files (wiki_markup_guide.md, cql_reference.md, troubleshooting_guide.md, etc.). That's the right move for token economy. Layered structure scored 9/10 for exactly this reason.

  • Practical problem-solving — You're directly addressing a real MCP pain point: the API size limits on uploads and downloads. Providing the mark CLI workaround, script templates, and dry-run verification steps means people can actually use this, not just read about it.

  • Command examples are substantial — The conversion matrices, checklist format, and grep-friendly structure in upload/download guides show you thought about how people actually use these tools.

The Big One

Your reference files over 100 lines lack table of contents. Specifically, cql_reference.md is 135 lines but jumps straight to "## Basic Syntax" without navigation anchors. When someone's looking for "how to filter by label" or "date range queries," they're doing Ctrl+F instead of jumping to a section.

Fix: Add a ## Contents section at the top of cql_reference.md and any reference over 100 lines. Takes 5 minutes, +1 point. Example:

## Contents
- [Basic Syntax](#basic-syntax)
- [Field References](#field-references)
- [Operators](#operators)
- [Examples](#examples)

Same applies to conversion_guide.md if it's borderline.

Other Things Worth Fixing

  1. Trim conversion_guide.md examples — The sample testing document section (around lines 660-720) is doing heavy lifting with full multi-section examples. You could trim to a single focused example or reference a separate examples file. Reclaims some token budget without losing clarity. -1 point writing style penalty here.

  2. Metadata description length — You've got solid triggers but the description could be tighter. Current is doing good work, but if you're submitting elsewhere, "Convert between Markdown and Wiki Markup, upload/download pages, embed Mermaid diagrams, search with CQL" is punchier than the current form.

  3. Workflow step numbering — Most checklists are numbered, but some guides use narrative flow instead of explicit steps. Standardize on numbered steps (1, 2, 3) throughout for consistency. Makes it easier to reference "Step 4" in support.

Quick Wins

  • Add TOC to reference files >100 lines (+1 point) — cql_reference.md at minimum
  • Trim verbose examples in conversion_guide.md — reclaim tokens, cleaner examples
  • Standardize step numbering across all workflow guides — consistency win
  • Consider metadata tightening — punch up the description for other platforms

You're already at production-ready territory. These fixes push you from A to A+ without major rework.


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AI-Detected Topics

Extracted using NLP analysis

references Wiki Wiki Markup guide.md Markdown agentic-skill convert Markdown Comprehensive Confluence Markup mcp Confluence claude-code-skill

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