ericosiu

Content Eval

Open-source AI marketing skills — growth experiments, sales pipeline, content ops, outbound, SEO, and finance automation

ericosiu 2,537 543 Updated 1mo ago

Resources

3
GitHub

Install

npx skillscat add ericosiu/ai-marketing-skills/content-eval

Install via the SkillsCat registry.

SKILL.md

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

Format Count Details
YouTube Long-form (10-20 min) 8-10 ideas Deep dives, screen recordings, frameworks
YouTube Shorts (<60 sec) 8-10 ideas One punch, one insight, one hook
X / LinkedIn Articles 5-7 ideas Manifesto-style, data-heavy, contrarian takes

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

# Expert Lens
1 Viral Hook Expert Curiosity gap, scroll-stopping power, title strength
2 Algorithm Expert CTR potential, watch time, search demand, recommendation likelihood
3 Founder Brand Strategist Pillar alignment, authenticity to founder's voice/experience
4 B2B Buyer Persona Expert Would a CMO/VP/CEO watch and want what you're selling?
5 Content Differentiation Expert Is anyone else making this? Unique angle?
6 Short-form Adaptation Expert Can it clip into 3+ viral Shorts? Quotable moments?
7 Debate/Engagement Expert Comments, shares, disagreements potential

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:

Week Focus Typical content
Week 1 Low effort, high impact Shorts that can ship same day, reaction clips
Week 2 Medium effort, highest ceiling Long-form with screen recordings, tutorials
Week 3 High effort, strategic anchors Articles, manifesto pieces, deep-dive frameworks
Week 4 Compounding content Reference pieces, reaction content, series starters

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

File Purpose When to read
references/pillars.md Messaging pillar definitions Step 3 (idea generation)
references/panel.md 7-expert panel with scoring criteria Step 4 (scoring)
references/competitors.md YouTube competitor channel sets Step 2 (competitive scan)
references/voice-rules.md Content voice/style rules Step 3 (idea generation)