Is the Analyze Content Performance skill free?

Yes. The skill itself is free from techwolf-ai/ai-first-toolkit. SkillProof publishes the install command and an independent test verdict at no cost.

What is the Analyze Content Performance SkillProof Score?

7.2/10 — installs cleanly 3/5, triggers reliably 5/5, output vs. baseline 8/10, docs & honesty 2/5.

How do I install Analyze Content Performance?

Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.

Can I use Analyze Content Performance with Cursor, Copilot, Gemini CLI, Codex or other AI tools?

The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.

Analyze Content Performance

Tiers published LinkedIn posts by engagement and extracts which hooks, lengths, and topics work.

by techwolf-ai · techwolf-ai/ai-first-toolkit

Works with setup

Install — copy the command Download source ↗

Test report

Verdict: Works with setup
Score: 7.2/10
Tested: Jul 13, 2026
Environment: Claude Code 2.x (agent harness)
Upstream re-checked: Aug 10, 2026 · a62082c

Fed it 6 synthetic posts: it correctly tiered them by reaction count and flagged personal-anecdote and surprising-data hooks as the winning pattern, with an explicit correlation-is-not-causation caveat a baseline skipped — but step 1 of its own workflow, ./scripts/print-published.sh, doesn't exist anywhere in the skill's own folder; it's only generated when the separate setup-content-studio skill scaffolds a full content-studio repo, something this SKILL.md never mentions.

Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works

Installs cleanly 3/5
Triggers reliably 5/5
Output vs. baseline 8/10
Docs & honesty 2/5

What Analyze Content Performance does

Reads a content-studio repo's published posts, buckets them into high/medium/low engagement tiers, and correlates hook style, word count, and topic against reaction counts to produce concrete content recommendations with a correlation-not-causation caveat. Triggers on requests to review post performance, find what's resonating, or plan future content around data. It's a companion to the setup-content-studio and write-linkedin-post skills in the same plugin, not a standalone tool — installed alone its workflow references a script that doesn't exist yet.

How to install Analyze Content Performance

git clone https://github.com/techwolf-ai/ai-first-toolkit
cd ai-first-toolkit
mkdir -p ~/.claude/skills
cp -r plugins/content-studio/skills/analyze-performance ~/.claude/skills/analyze-performance

Skills live in ~/.claude/skills/ (global) or .claude/skills/ (per-project). Restart Claude Code after installing.

Commands — how to trigger Analyze Content Performance

/analyze-performance Tiers published LinkedIn posts by engagement and extracts which hooks, lengths, and topics work.

It also activates on plain-language prompts like these:

Look at our published LinkedIn posts and tell me which hooks perform best
Bucket these posts by engagement and find what topics are resonating
Analyze our post history and recommend what to write based on the data

Frequently asked questions

Is the Analyze Content Performance skill free?: Yes. The skill itself is free from techwolf-ai/ai-first-toolkit. SkillProof publishes the install command and an independent test verdict at no cost.
Does Analyze Content Performance work with Claude Code?: We tested it with Claude Code 2.x (agent harness) on Jul 13, 2026. Verdict: Works with setup. Fed it 6 synthetic posts: it correctly tiered them by reaction count and flagged personal-anecdote and surprising-data hooks as the winning pattern, with an explicit correlation-is-not-causation caveat a baseline skipped — but step 1 of its own workflow, ./scripts/print-published.sh, doesn't exist anywhere in the skill's own folder; it's only generated when the separate setup-content-studio skill scaffolds a full content-studio repo, something this SKILL.md never mentions.
What is the Analyze Content Performance SkillProof Score?: 7.2/10 — installs cleanly 3/5, triggers reliably 5/5, output vs. baseline 8/10, docs & honesty 2/5.
How do I install Analyze Content Performance?: Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
Can I use Analyze Content Performance with Cursor, Copilot, Gemini CLI, Codex or other AI tools?: The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.