Agent skill

Expertreview

by jtenniswood in jtenniswood/esphome-media-player

Provide an expert codebase review for this repository. An agent skill from jtenniswood/esphome-media-player.

Custom licenceAuto-check passedDevelopment

Install Expertreview

skills CLI
$ npx skills add jtenniswood/esphome-media-player --skill expertreview -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jtenniswood/esphome-media-player expertreview --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jtenniswood/esphome-media-player.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/expertreview .claude/skills/expertreview && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
expertreview
GitHub stars
234
Token cost
~1.9k tokens
SKILL.md length
832 words
Files
1
Skills in repo
8
Repo updated
First seen
Licence
Custom licence

At a glance

Provide an expert codebase review for this repository. An agent skill from jtenniswood/esphome-media-player.

  • Works in 6 steps: Establish Project State → Map the Product and Architecture → Evaluate Consistency and Quality → …
  • The user says /expertreview
  • SKILL.md covers Overview, Review Principles, Workflow and Output Format
  • Calls git

What it does

Expertreview is an agent skill from jtenniswood/esphome-media-player. Provide an expert codebase review for this repository. Use when the user says "/expertreview", asks for an expert review, wants refactoring or codebase improvement recommendations, wants consistency and quality assessed, or asks how to reduce duplication, improve component use, preserve the end-user experience, and keep upgrades cleanly migratable.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering UX design and Refactoring. The repository describes itself as: Touch screen display for showing cover artwork from any Home Assistant media entity.

When your agent uses it

  • The user says /expertreview
  • Asks for an expert review
  • Wants refactoring
  • Codebase improvement recommendations

Example prompts

  • “/expertreview”
  • “/expertreview”

Workflow steps

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

  1. Establish Project State
  2. Map the Product and Architecture
  3. Evaluate Consistency and Quality
  4. Validate Before Recommending
  5. Add Risk Controls for Large Changes
  6. Prioritize

What it can do on your machine

Read from SKILL.md and the folder at commit 8ab172b. 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

    Shell commands in SKILL.md call:

    • git

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

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    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

Expertreview loads about 1.9k tokens when it runs. Until then it costs about 91 tokens; SKILL.md has 832 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~91
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

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

Auto-check passed

The automated check found no risky patterns in SKILL.md.

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 832 words (~1,864 tokens).

“Review the codebase as a senior product-minded engineer. Produce a ranked list of recommendations to improve maintainability, consistency, component reuse, quality, and upgrade safety without changing the current end-user experience. Recommendations should be direct and appropriately bold: if the structure…”

— opening of SKILL.md by jtenniswood, Custom licence
name
expertreview

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/expertreview of jtenniswood/esphome-media-player.

Open the folder on GitHubat commit 8ab172b

Used in 2 other repositories

We found 2 copies of this SKILL.md (exact, near-identical or edited) in other folders. This page covers the copy in jtenniswood/esphome-media-player, which our catalogue first saw on October 7, 2026.

Compare with similar skills

Expertreview next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Expertreview compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Expertreview this skilljtenniswood/esphome-media-player234—~1.9kAutomated safety check: PassCustom licence
MCP Refactoringadeze/raindrop-mcp188—~972Automated safety check: PassMIT
Component Refactoringlangflow-ai/langflow155k—~3.5kAutomated safety check: PassMIT
Trimtola-rs/tola-ssg178—~2.9kAutomated safety check: PassMIT
Extension Reviewervicinaehq/extensions156—~1.1kAutomated safety check: PassNone
Component RefactoringPageAI-Pro/ralph-loop315—~1.8kAutomated safety check: PassMIT

Similar skills

  • MCP Refactoring

    adeze/raindrop-mcp

    Refactoring MCP Tools for Better LLM Integration and Usability

    188 GitHub stars~972 tokensUpdated 2 mo ago
    DevelopmentAuto-check passed
  • Component Refactoring

    langflow-ai/langflow

    Refactor high-complexity React components in Langflow frontend.

    155k GitHub stars~3.5k tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Trim

    tola-rs/tola-ssg

    Shrink code, tests, comments, and docs to what carries meaning — delete dead paths, redundant states, and refactor-dragging tests outright, then hold the survivors to the four bars.

    178 GitHub stars~2.9k tokensUpdated 2 days ago
    DevelopmentAuto-check passed
  • Extension Reviewer

    vicinaehq/extensions

    Review Vicinae extensions for publication in the official store, or prepare an extension for submission.

    156 GitHub stars~1.1k tokensUpdated yesterday
    DevelopmentAuto-check passed
  • Component Refactoring

    PageAI-Pro/ralph-loop

    Refactor high-complexity React components in frontend. An agent skill from PageAI-Pro/ralph-loop.

    315 GitHub stars~1.8k tokensUpdated 1 mo ago
    DevelopmentAuto-check passed
  • Ostack

    mr-daedalium/ostack-saas

    Fast headless browser for QA testing and site dogfooding. An agent skill from mr-daedalium/ostack-saas.

    114 GitHub stars~6.1k tokensUpdated 6 mo ago
    DevelopmentAuto-check: notes

More from jtenniswood/esphome-media-player

All 8 skills in this repo
  • Cleanup Complete Branches

    jtenniswood/esphome-media-player

    Clean up completed Git branches and worktrees for this repository, both locally and on GitHub.

    234 GitHub stars~670 tokensUpdated 1 mo ago
    Auto-check passed
  • Compile

    jtenniswood/esphome-media-player

    Test compile ESPHome firmware for all devices using Docker and fix any YAML or configuration errors until every device compiles successfully.

    234 GitHub stars~779 tokensUpdated 1 mo ago
    Auto-check passed
  • Expert Reset

    jtenniswood/esphome-media-player

    Reimagine this repository from first principles using the current product and user experience as the target.

    234 GitHub stars~1.9k tokensUpdated 1 mo ago
    Auto-check passed
  • Flash Devices

    jtenniswood/esphome-media-player

    Flash ESPHome firmware to physical EspControl devices. An agent skill from jtenniswood/esphome-media-player.

    234 GitHub stars~1.1k tokensUpdated 1 mo ago
    Auto-check passed
  • PR Review

    jtenniswood/esphome-media-player

    Address GitHub pull request feedback for this repository. An agent skill from jtenniswood/esphome-media-player.

    234 GitHub stars~1.4k tokensUpdated 1 mo ago
    Auto-check passed
  • Release

    jtenniswood/esphome-media-player

    Create and publish a new GitHub release for this repository, then verify that the related GitHub Actions firmware release build starts.

    234 GitHub stars~1.3k tokensUpdated 1 mo ago
    Auto-check passed

Questions about Expertreview

What does Expertreview do?

Provide an expert codebase review for this repository. An agent skill from jtenniswood/esphome-media-player. Expertreview is an agent skill from jtenniswood/esphome-media-player. Provide an expert codebase review for this repository.

When should I use Expertreview?

Expertreview fits situations like: the user says /expertreview; asks for an expert review; wants refactoring; codebase improvement recommendations.

How do I install Expertreview in Claude Code?

Run `npx skills add jtenniswood/esphome-media-player --skill expertreview -a claude-code`. Or copy the skill folder (.agents/skills/expertreview in jtenniswood/esphome-media-player) into .claude/skills/expertreview in your project. Claude Code loads it when a task matches its description.

How do I install Expertreview in Codex?

Run `npx skills add jtenniswood/esphome-media-player --skill expertreview -a codex`. Or copy the skill folder (.agents/skills/expertreview in jtenniswood/esphome-media-player) into .agents/skills/expertreview in your project. Codex loads it when a task matches its description.

Can I use Expertreview in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jtenniswood/esphome-media-player --skill expertreview -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/expertreview, .gemini/skills/expertreview, .github/skills/expertreview and .opencode/skills/expertreview in your project.

What does Expertreview need to run?

Going by SKILL.md and its folder, Expertreview needs the command-line tools its instructions call (git).

Does Expertreview access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Expertreview safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Expertreview use?

Expertreview has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Expertreview use?

About 1.9k tokens (SKILL.md is roughly 7.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Expertreview?

Skills that share tags, products or a category with Expertreview: MCP Refactoring (adeze/raindrop-mcp, 188 stars), Component Refactoring (langflow-ai/langflow, 155k stars), Trim (tola-rs/tola-ssg, 178 stars) and Extension Reviewer (vicinaehq/extensions, 156 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Expertreview?

jtenniswood (a GitHub user) maintains it in jtenniswood/esphome-media-player, which has 234 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on August 20, 2026.

Source: jtenniswood/esphome-media-player on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.