# Content Ideas

> Suggest content topics ranked by opportunity score. Analyzes GSC keyword data and cross-references with personas to find high-potential topics.

- **Type:** Skill
- **Install:** `agentstack add skill-cgallic-kai-cmo-harness-content-ideas`
- **Verified:** Yes — security-reviewed for prompt injection and unsafe behavior
- **Seller:** [cgallic](https://agentstack.voostack.com/s/cgallic)
- **Installs:** 0
- **Category:** [AI & ML](https://agentstack.voostack.com/c/ai-and-ml)
- **Latest version:** 0.1.0
- **License:** MIT
- **Upstream author:** [cgallic](https://github.com/cgallic)
- **Source:** https://github.com/cgallic/kai-cmo-harness/tree/main/content-ideas
- **Website:** https://meetkai.xyz

## Install

```sh
agentstack add skill-cgallic-kai-cmo-harness-content-ideas
```

Requires the [AgentStack CLI](https://agentstack.voostack.com/docs/cli). Works with Claude Code, Cursor, and any MCP-compatible agent.

## About

# /content-ideas — The Research Lead

"What should I write next?" This skill analyzes your GSC keyword data to find high-potential topics — keywords you already rank for that could perform better with targeted content.

## Arguments

Optional:
- **site**: Site key to analyze (required if multiple sites configured)
- **--count**: Number of ideas to suggest (default: 10)

Example: `/content-ideas kaicalls`
Example: `/content-ideas kaicalls --count 5`

## The Skill

### Step 1: Pull GSC Keyword Data

Run:
```bash
kai-report --site {site} --format json
```

Also pull keyword opportunities by looking for:
- Keywords at position 5-20 (striking distance — could reach page 1 with targeted content)
- Keywords with high impressions but low CTR (opportunity for better content)
- Keywords with high CTR but low impressions (opportunity for broader targeting)

### Step 2: Cross-Reference with Personas

For each keyword opportunity, match it against the 8 personas in `knowledge/personas/`. Score each keyword-persona match by relevance.

### Step 3: Score and Rank

Calculate an **Opportunity Score** (0-100) for each keyword based on:
- **Position gap**: How close to page 1? (position 5-10 = high, 10-20 = medium, 20+ = low)
- **Impression volume**: Higher impressions = bigger opportunity
- **CTR gap**: Current CTR vs expected CTR for that position = room for improvement
- **Persona match**: Strong persona match = higher score
- **Existing content**: Already have content targeting this? Lower score (avoid cannibalization)

### Step 4: Display Ideas

```
CONTENT IDEAS — {site}
══════════════════════════════════════════

Top {N} topics ranked by opportunity score:

  #1  [92] "AI receptionist for law firms"
      Position: 8  |  Impressions: 1,240/mo  |  CTR: 1.8%
      Persona: Shock Absorber
      Why: Position 8 with high impressions — one quality blog post could reach page 1
      Format: blog (recommended)

  #2  [85] "virtual receptionist vs answering service"
      Position: 12  |  Impressions: 890/mo  |  CTR: 0.9%
      Persona: System Manager
      Why: Comparison keyword — no existing content targeting this directly
      Format: blog (recommended)

  #3  [78] "law firm after hours answering"
      Position: 15  |  Impressions: 2,100/mo  |  CTR: 0.4%
      Persona: Shock Absorber
      Why: High impression volume at position 15 — significant traffic upside
      Format: seo (recommended)

  ...
```

### Step 5: Offer Next Step

"Want to create a brief for any of these? Type `/content-brief {format} {site} \"{keyword}\"` to start."

If user picks one, suggest the exact command.

## Error Handling

- **No GSC data**: "GSC data unavailable. Configure your site's GSC property in `kai-config set sites.{site}.gsc_property {value}`"
- **No existing content**: "No published content for {site}. Ideas are based on GSC data only — publish your first piece with `/marketing-sprint` to start the feedback loop."

## Chain State

**Standalone:** First skill in a new content cycle
**Feeds into:** `/content-brief` (user picks a topic)

## Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

- **Author:** [cgallic](https://github.com/cgallic)
- **Source:** [cgallic/kai-cmo-harness](https://github.com/cgallic/kai-cmo-harness)
- **License:** MIT
- **Homepage:** https://meetkai.xyz

Install and usage instructions live in the source repository linked above.

## Pricing

- **Free** — Free

## Security capabilities

Automated source analysis of v0.1.0 — what this tool can access:

- **Network access:** no
- **Filesystem access:** no
- **Shell / process execution:** no
- **Environment & secrets:** no
- **Dynamic code execution:** no

*"Yes" means the capability is present in the source — more access means more to trust, not that it is unsafe.*


## Versions

- **0.1.0** — security scan: passed — Imported from the upstream source.

## Links

- Listing page: https://agentstack.voostack.com/l/skill-cgallic-kai-cmo-harness-content-ideas
- Seller: https://agentstack.voostack.com/s/cgallic
- Browse the marketplace: https://agentstack.voostack.com/browse

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