Ericosiu AI Marketing Skills Content Eval

name: content-eval description: >- Generate and score content ideas using an expert panel. Pulls from podcast transcripts, meeting notes, competitor analysis, and trending topics to produce a ranked content menu with production schedule. Use when asked to: "content eval", "score content ideas", "weekly content menu", "what should I film", "content ideas", "rate these video ideas".

Content Eval

Content ideation + expert panel scoring pipeline. Ingests raw material, generates ideas across your messaging pillars, scores them via a 7-expert panel, and outputs a ranked list with production schedule.

Step 1: Gather Raw Material

Collect signal from all available sources. Skip any source that's unavailable.

Podcast episodes

• Read recent episodes from your podcast transcript directory (last 7 days)
• Extract: topics covered, guest insights, audience questions, contrarian takes
• Note episode titles for dedup against new ideas

Meeting notes

• Check your meeting notes directory for recent notes
• Extract: client questions, recurring themes, interesting moments, pain points
• Focus on what your target buyers are actually asking about

Sales call insights

• Check your call recording platform data for recent calls
• Extract: objection patterns, recurring questions, competitor mentions
• Note what prospects are confused about or struggling with

Trending topics

• Note any topics the user mentions directly
• Check competitor scan results (Step 2) for trending formats/topics
• Look for news hooks or industry shifts you could react to

Step 2: Competitive Scan (if not provided)

If the user hasn't supplied competitive data, run a scan using your YouTube competitive analysis tool.

Channel sets are defined in references/competitors.md (same directory as this skill).

Analyze results

• Outlier videos: Identify any video with >2x the channel's average views
• Topic patterns: What subjects are multiple creators covering?
• Format patterns: What formats are performing (listicles, reactions, tutorials, story-driven)?
• Content gaps: Topics where NO competitor is covering something you could own
  • Especially gaps at the intersection of your unique expertise areas
  • Or gaps where you have unique data (revenue numbers, internal metrics, tool costs)

If your competitive analysis tool is not available, skip this step and note it was skipped.

Step 3: Generate Ideas

Generate 20-30 content ideas across three formats. Read references/pillars.md for pillar definitions and references/voice-rules.md for content voice rules.

Format targets

Pillar requirement

Every idea MUST connect to at least one pillar defined in references/pillars.md. Ideas that don't clearly serve a pillar get killed.

Idea format

Each idea needs:

• Title — specific, hook-driven, follows voice-rules.md
• Description — 1-2 sentences on the content and angle
• Format — Long-form / Short / Article
• Pillar(s) — which pillar(s) it serves
• Source signal — what raw material inspired it (podcast topic, competitor gap, client question, etc.)

Dedup check

• Check recent published content (last 30 days)
• If a similar angle was covered recently, either kill it or document a genuinely new hook
• Apply the dedup rule from references/voice-rules.md

Manual override

If the user passes specific ideas to score (e.g., "score these content ideas: [list]"), skip idea generation and go directly to Step 4 with the provided ideas.

Step 4: Expert Panel Scoring

Run each idea through the 7-expert panel defined in references/panel.md.

Panel summary

Scoring rules

• Each expert scores 0-100
• Pass threshold: 85+ average
• For each idea, output:
  • Average score across all 7 experts
  • PASS / FAIL
  • Top expert comment (the most insightful feedback)
  • Biggest weakness (the lowest-scoring dimension and why)

Output table per idea

### [Idea Title] — [Format]
**Pillar(s):** [pillar names]
**Description:** [1-2 sentences]

| Expert | Score | Comment |
|--------|-------|---------|
| Viral Hook | [score] | [one-line] |
| Algorithm | [score] | [one-line] |
| Brand Strategist | [score] | [one-line] |
| B2B Buyer | [score] | [one-line] |
| Differentiation | [score] | [one-line] |
| Short-form | [score] | [one-line] |
| Debate/Engagement | [score] | [one-line] |

**Average: [score] — [PASS / FAIL]**
**Top insight:** [best expert comment]
**Biggest weakness:** [lowest dimension + why]

Scoring integrity

• Be brutally honest. No grade inflation.
• Generic ideas that anyone could make should score <70 on Differentiation.
• Ideas without personal receipts/data should score <75 on Brand Strategist.
• If an idea is genuinely great, let it score high. The threshold exists so only the best survive.

Step 5: Rank and Schedule

Rank passing ideas

Sort all ideas scoring 85+ by average score, highest first.

Create 4-week production schedule

Assign passing ideas to weeks based on effort vs impact:

Kill list

List all ideas that scored <85 with:

• Title
• Average score
• Primary reason for failure (the expert dimension that killed it)

Step 6: Output

Create a document with the full results.

Document structure:

1. Executive Summary — Total ideas generated, pass rate, top 5
2. Competitive Gaps Found — What no one else is covering
3. Ranked Ideas (Passing) — Full scoring tables for each
4. 4-Week Production Schedule — Visual calendar layout
5. Kill List — Failed ideas with reasons
6. Raw Material Summary — Sources used (podcasts, meetings, calls, trends)

Optionally post a summary to your team channel with:

• Top 5 ideas (title, score, format, pillar)
• Competitive gaps found (2-3 bullets)
• Week 1 production schedule (what to film/write this week)
• Link to the full document

Reference Files