analyze-performance SKILL.md skillA
analyze-performance from techwolf-ai/ai-first-toolkit is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add techwolf-ai/ai-first-toolkit/analyze-performance@git:20260305.f09c96aPins git:20260305.f09c96a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- techwolf-ai/ai-first-toolkit
- Path
plugins/content-studio/skills/analyze-performance/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260305.f09c96a, committed Mar 5, 2026
- Size
- 2,754 bytes
- Repository stars
- 139
- License
- MIT
Analyze engagement patterns across published posts to identify what works. Use when asked to review performance, find successful patterns, or optimize future content.
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
# Analyze Content Performance Identify patterns in high-performing posts to inform future content strategy. ## Process 1. Run `./scripts/print-published.sh linkedin-post` to read all published LinkedIn posts 2. Extract posts that have engagement data (engagement.reactions, engagement.views, etc.) 3. Analyze patterns across high-performing vs low-performing posts ## Analysis Dimensions ### Hook Analysis - What hook styles correlate with higher engagement? - Personal anecdote vs company experience vs surprising data vs news hook? - First 210 characters (LinkedIn cutoff) - what patterns work? ### Content Characteristics - Word count vs engagement correlation - Use of concrete examples vs abstract concepts - Presence of frameworks or mental models - Use of lists/structure vs flowing narrative ### Topic Analysis - Which tags correlate with higher engagement? - Which themes resonate most? - Timing patterns (if publishedDate available) ### Structural Patterns - Opening style (question, statement, story) - Closing style (call-to-action, reflection, question) - Paragraph length and density ## Performance Tiers Categorize posts by reaction count: …
Read the whole file at its exact version.
How to install
mdr add techwolf-ai/ai-first-toolkit/analyze-performance@sha256:80946a9e0b2dfd7eThe line at the top of this page pins the label git:20260305.f09c96a, 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_mqyxp3vokwzbrkhi)
3 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Mar 5, 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 (2754 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
techwolf-ai/ai-first-toolkit · 139 stars · license MIT · pushed 2026-09-29 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_mqyxp3vokwzbrkhi GET https://markdownregistry.com/api/v1/resolve?ref=techwolf-ai/ai-first-toolkit/analyze-performance GET https://markdownregistry.com/api/v1/blob/80946a9e0b2dfd7e2d44ce1902b15113b391802ac915c5a71419f0aef97adc0d
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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