content-retro SKILL.md skillA
content-retro from cgallic/kai-cmo-harness is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add cgallic/kai-cmo-harness/content-retro@git:20260722.89c15c2Pins git:20260722.89c15c2 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- cgallic/kai-cmo-harness
- Path
legacy/content-retro/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260722.89c15c2, committed Jul 22, 2026
- Size
- 4,746 bytes
- Repository stars
- 60
- License
- a license file GitHub does not identify
Analyze content performance patterns. Extract what works (hook types, formats, personas). Auto-update learned defaults so future content improves.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# /content-retro — The CMO's Feedback Loop
Analyze what's working across your published content. Extract winner patterns and auto-update the system's learned defaults so future content improves without manual tuning.
This is the skill that closes the loop. Everything upstream — `/content-brief`, `/content-write`, `/content-gate` — reads the defaults this skill updates.
## Preamble
```bash
source "$(dirname "$0")/../lib/preamble.sh"
```
## The Skill
### Step 1: Load Performance Data
Read `~/.kai-marketing/content-log.jsonl` and filter for pieces with `performance_30d` set (not null).
If fewer than 5 graded pieces exist, tell user: "Need 5+ graded pieces for reliable pattern extraction. You have {N}. Run `/content-report` to grade pending pieces, or publish more content."
### Step 2: Pattern Analysis
Analyze the graded pieces for statistical patterns. For each dimension, compare winner rates:
**Dimensions to analyze:**
- **Hook type**: Which hook types (curiosity gap, social proof, pain agitate, contrarian, data-led) produce more winners?
- **Format**: Which formats (blog, linkedin, email, etc.) perform best?
- **Persona**: Which personas produce winners?
…Read the whole file at its exact version.
How to install
mdr add cgallic/kai-cmo-harness/content-retro@sha256:94350e2d3c62e8b6The line at the top of this page pins the label git:20260722.89c15c2, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_wlob4algenvr4fa7)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Jul 22, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (4746 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
cgallic/kai-cmo-harness · 60 stars · license a license file GitHub does not identify · pushed 2026-11-01 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_wlob4algenvr4fa7 GET https://markdownregistry.com/api/v1/resolve?ref=cgallic/kai-cmo-harness/content-retro GET https://markdownregistry.com/api/v1/blob/94350e2d3c62e8b6f3cd35f5ea6402eebfd71ef01844bc7a33d80a4c0cccda5c
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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