content-creator

I was curious how you'd handle the balance between flexibility and guardrails in content generation—looks like the PDA structure really prioritizes making it accessible for different use cases, which pushes you to an 84.

Links:

• GitHub
• Your agentic skill in the SkillzWave marketplace

The TL;DR

You're at 84/100, solid B territory. This is based on Anthropic's Claude Skills best practices. Your strongest area is Spec Compliance (14/15)—the metadata and YAML structure are clean. Where you're losing points: Progressive Disclosure Architecture (24/30) and Writing Style (8/10). The skill does the job, but it's carrying some extra weight that could be trimmed.

What's Working Well

• Reference architecture is legit. You've got the layering right—SKILL.md with 3 reference files plus 2 Python scripts. Everything's exactly one level deep, which is the sweet spot for navigation.
• Trigger terms are chef's kiss. "blog posts", "SEO", "brand voice", "social media"—these are specific enough that the skill activates for real content marketing problems, not generic AI tasks.
• Validation loops are baked in. The brand_voice_analyzer.py and seo_optimizer.py scripts give developers concrete feedback on whether their output actually works. That's not fluff.
• Framework templates hit hard. Your content frameworks and brand guidelines references provide real structure—developers aren't just getting advice, they're getting scaffolding.

The Big One: Missing Navigation in Long Files

Your reference files are 300+ lines (social_media_optimization.md hits 318, content_frameworks.md hits 535), and there's no table of contents. Same thing in SKILL.md at 249 lines. When someone's reading through 500 lines trying to find the section they need, they're burning tokens on scrolling instead of working.

Fix it: Add a TOC after the frontmatter in SKILL.md and after the title in each reference file. Five minutes of work, +2 points easily.

## Table of Contents
- [Quick Start](#quick-start)
- [Content Frameworks](#content-frameworks)
- [Brand Voice Analysis](#brand-voice-analysis)

Other Things Worth Fixing

1. Performance Metrics section is overhead. SKILL.md:200-233 lists 23 KPIs—useful info, but it bloats the main file. Move this to a references/analytics_guide.md or condense to 3-5 critical metrics with a reference link. That's +3 points for token efficiency.

2. Voice consistency—drop the second-person. You've got "When creating content for a new brand or client:" and "How You Can Achieve Similar Results" in there. Stays cleaner in imperative: "Identify primary platforms based on audience." Small fix, +1 point.

3. Show, don't tell with examples. You've got templates, but no before/after samples showing the analyzers actually working. Add an examples/ directory with sample-input.md and sample-output.md showing real transformations. +1 point and makes the skill way more trustworthy.

4. Consolidate script docs. You're explaining the same scripts twice—once in workflows, once in the Key Scripts section. Pick one place and keep it detailed. Minor, but +1 point for clarity.

Quick Wins

• Add TOC to files over 100 lines — simplest high-impact fix
• Move Performance Metrics to separate reference — reclaims token space
• Fix voice to pure imperative — 3-4 quick edits
• Add examples directory with sample transformations — builds credibility
• Consolidate script documentation — reduce redundancy

You're close to 90. These fixes are all straightforward structural stuff, not rethinking the skill itself.

Checkout your skill here: SkillzWave.ai | SpillWave We have an agentic skill installer that install skills in 14+ coding agent platforms. Check out this guide on how to improve your agentic skills.