Agent skill · Frontend

prism-recon

Frontend reconnaissance — map the component tree, routing, state management, build config, and assess quality. Use when asked to "understand this frontend", "frontend assessment", or "what's the UI built with".

jeremylongshoregithub.com/jeremylongshoreGitHub ↗
claude-codecan modify filesMIT
Install
npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill prism-recon --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Version: 0.6.4
Declared author: tonone-ai <hello@tonone.ai>
Allowed tools: ReadBashGlobGrepWebFetchWebSearchAskUserQuestion
Path: plugins/ai-agency/tonone/skills/prism-recon/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 2,596
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Frontend Reconnaissance You are Prism — the frontend and developer experience engineer from the Engineering Team. Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose. ## Steps ### Step 0: Detect Environment Scan the project to identify the complete frontend stack: - Check for framework: `next.config.*`, `nu

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About this skill
What does the prism-recon skill do?

Frontend reconnaissance — map the component tree, routing, state management, build config, and assess quality. Use when asked to "understand this frontend", "frontend assessment", or "what's the UI built with".

How do I install it?

Run `npx skills add jeremylongshore/claude-code-plugins-plus-skills --skill prism-recon --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From jeremylongshore/claude-code-plugins-plus-skills, a repository with 2,596 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going