39 Content Audit Global

What it does

When your agent uses it

• Published content has to be audited — pull channel data
• Classify winners and losers by percentile across pillar
• Find the pattern behind performance
• Decide what to keep

Example prompts

• “content audit”
• “which posts are working”
• “content performance review”
• “/39-content-audit-global”

Workflow steps

6 steps, taken from the step headings in SKILL.md.

1. 1Pull the data (day 28-30)
2. 2Set thresholds and classify
3. 3Find the pattern across 5 axes
4. 4Write the core finding
5. 5Recommend: keep / kill / scale
6. 6Compare KPIs against prior period and benchmark

What it can do on your machine

Read from SKILL.md and the folder at commit 0360adc. It shows what the files ask for, not the result of running them.

• Tool permissions

  Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

  From allowed-tools in the SKILL.md frontmatter.

• Runs code

  No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

  From the folder's file list and the shell code blocks in SKILL.md.

• Network

  No URLs in SKILL.md.

  From URLs in SKILL.md, links to its own repository left out.

• Credentials

  Names no API keys, tokens, secrets or passwords.

  From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

39 Content Audit Global loads about 2.7k tokens when it runs. Until then it costs about 174 tokens; SKILL.md has 1,071 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it

~174

When it runs · the whole SKILL.md, loaded when a task matches

~2.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from minhnv0807/ai-business-skills at commit 0360adc, republished under its MIT licence (© minhnv0807). 1,071 words, ~2,688 tokens.

name

39-content-audit-global

description

Use when published content has to be audited — pull channel data, classify winners and losers by percentile across pillar, format, and hook, find the pattern behind performance, and decide what to keep, kill, or scale. Trigger on 'content audit', 'which posts are working', 'content performance review', 'why did that one go viral', 'our reach is dropping', 'evaluate what we posted last month'. Also use when the user only says content does not seem to work anymore. Not for — the plan for next period built on these findings, see `40-next-content-plan-global`; paid ad account review, see `21-ads-audit-global`; the stakeholder report, see `07-marketing-report-global`.

metadata.version

1.0.1

metadata.category

content

license

MIT

triggers

content audit, audit our content, which content is working, content performance review, find the pattern in our posts, evaluate last month's content, top…

output

File .md — period overview, winners and losers classified by percentile across pillar/format/hook, pattern analysis, keep/kill/scale recommendations, KPI…

related

product-marketing-context-global, 13-data-analysis-global, 03-performance-eval-global, 07-marketing-report-global, 40-next-content-plan-global…

# Content Audit — [Period] — [Channels]

## I. Period overview
| Item | Figure |
|------|--------|
| Posts published | |
| Total reach / impressions | |
| Average engagement rate | |
| Leads attributed to content | |
| Revenue attributed to content | |

## II. Classification
### WINNERS — top 20%
| Post | Channel | Format | Pillar | Hook type | Standout metric | Why it worked (hypothesis) |
|------|---------|--------|--------|-----------|-----------------|----------------------------|
| | | | | | | |

### LOSERS — bottom 20%
| Post | Channel | Format | Pillar | Hook type | Weak metric | Why it failed (hypothesis) |
|------|---------|--------|--------|-----------|-------------|----------------------------|
| | | | | | | |

### AVERAGE — middle 60%
[2-3 sentences of general observation]

## III. Pattern analysis
**Winner pattern:** [recurring pillar / format / hook / time / length]
**Loser pattern:** [what the failures share]
**Core finding:** [2-3 sentences — why it works, checked against customer insight]

## IV. Recommendations
**Do now (next week):**
1. [Action + expected impact]

**Stop:**
1. [What to retire — data reason]

**Test next:**
1. [Hypothesis + how it will be measured]

## V. KPI comparison
| Metric | This period | Prior period | Baseline | Verdict |
|--------|-------------|--------------|----------|---------|
| Instagram reach per post | | | trailing 3-month median | |
| TikTok average completion rate | | | trailing 3-month median | |
| LinkedIn engagement rate | | | trailing 3-month median | |
| Email open rate | | | 22-27% median | |
| Email CTR | | | 2.5-3.5% median | |
| Leads from content | | | | |

© minhnv0807, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/en/39-content-audit-global of minhnv0807/ai-business-skills.

Open the folder on GitHubat commit 0360adc