update

feat: Add frontend-design plugin to marketplace

.claude-plugin/marketplace.json

@@ -90,6 +90,17 @@
       },
       "source": "./plugins/learning-output-style",
       "category": "learning"
+    },
+    {
+      "name": "frontend-design",
+      "description": "Create distinctive, production-grade frontend interfaces with high design quality. Generates creative, polished code that avoids generic AI aesthetics.",
+      "version": "1.0.0",
+      "author": {
+        "name": "Prithvi Rajasekaran & Alexander Bricken",
+        "email": "prithvi@anthropic.com"
+      },
+      "source": "./plugins/frontend-design",
+      "category": "development"
     }
   ]
 }

CHANGELOG.md

@@ -1,5 +1,45 @@
 # Changelog
 
+## 2.0.37
+
+- Fixed how idleness is computed for notifications
+- Hooks: Added matcher values for Notification hook events
+- Output Styles: Added `keep-coding-instructions` option to frontmatter
+
+## 2.0.36
+
+- Fixed: DISABLE_AUTOUPDATER environment variable now properly disables package manager update notifications
+- Fixed queued messages being incorrectly executed as bash commands
+- Fixed input being lost when typing while a queued message is processed
+
+## 2.0.35
+
+- Improve fuzzy search results when searching commands
+- Improved VS Code extension to respect `chat.fontSize` and `chat.fontFamily` settings throughout the entire UI, and apply font changes immediately without requiring reload
+- Added `CLAUDE_CODE_EXIT_AFTER_STOP_DELAY` environment variable to automatically exit SDK mode after a specified idle duration, useful for automated workflows and scripts
+- Migrated `ignorePatterns` from project config to deny permissions in the localSettings.
+- Fixed messages returning null `stop_reason` and `stop_sequence` values
+- Fixed menu navigation getting stuck on items with empty string or other falsy values (e.g., in the `/hooks` menu)
+
+## 2.0.34
+
+- VSCode Extension: Added setting to configure the initial permission mode for new conversations
+- Improved file path suggestion performance with native Rust-based fuzzy finder
+- Fixed infinite token refresh loop that caused MCP servers with OAuth (e.g., Slack) to hang during connection
+- Fixed memory crash when reading or writing large files (especially base64-encoded images)
+
+## 2.0.33
+
+- Native binary installs now launch quicker.
+- Fixed `claude doctor` incorrectly detecting Homebrew vs npm-global installations by properly resolving symlinks
+- Fixed `claude mcp serve` exposing tools with incompatible outputSchemas
+
+## 2.0.32
+
+- Un-deprecate output styles based on community feedback
+- Added `companyAnnouncements` setting for displaying announcements on startup
+- Fixed hook progress messages not updating correctly during PostToolUse hook execution
+
 ## 2.0.31
 
 - Windows: native installation uses shift+tab as shortcut for mode switching, instead of alt+m

README.md

@@ -14,10 +14,28 @@ Claude Code is an agentic coding tool that lives in your terminal, understands y
 
 1. Install Claude Code:
 
-```sh
+**MacOS/Linux:**
+```bash
+curl -fsSL https://claude.ai/install.sh | bash
+```
+
+**Homebrew (MacOS):**
+```bash
+brew install --cask claude-code
+```
+
+**Windows:**
+```powershell
+irm https://claude.ai/install.ps1 | iex
+```
+
+**NPM:**
+```bash
 npm install -g @anthropic-ai/claude-code
 ```
 
+NOTE: If installing with NPM, you also need to install [Node.js 18+](https://nodejs.org/en/download/)
+
 2. Navigate to your project directory and run `claude`.
 
 ## Plugins

plugins/code-review/commands/code-review.md

@@ -1,27 +1,31 @@
 ---
-allowed-tools: Bash(gh issue view:*), Bash(gh search:*), Bash(gh issue list:*), Bash(gh pr comment:*), Bash(gh pr diff:*), Bash(gh pr view:*), Bash(gh pr review:*), Bash(gh pr list:*)
+allowed-tools: Bash(gh issue view:*), Bash(gh search:*), Bash(gh issue list:*), Bash(gh pr comment:*), Bash(gh pr diff:*), Bash(gh pr view:*), Bash(gh pr list:*)
 description: Code review a pull request
+disable-model-invocation: false
 ---
 
 Provide a code review for the given pull request.
 
 To do this, follow these steps precisely:
 
-1. Use an agent to check if the pull request (a) is closed, (b) is a draft, (c) does not need a code review (eg. because it is an automated pull request, or is very simple and obviously ok), or (d) already has a code review from you from earlier. If so, do not proceed.
-2. Use another agent to give you a list of file paths to (but not the contents of) any relevant CLAUDE.md files from the codebase: the root CLAUDE.md file (if one exists), as well as any CLAUDE.md files in the directories whose files the pull request modified
-3. Use an agent to view the pull request, and ask the agent to return a summary of the change
-4. Then, launch 4 parallel agents to independently code review the change. The agents should do the following, then return a list of issues and the reason each issue was flagged (eg. CLAUDE.md adherence, bug, historical git context, etc.):
-   a. Agents #1 and #2: Independently audit the changes to make sure they compily with the CLAUDE.md
-   b. Agent #3: Read the file changes in the pull request, then do a shallow scan for obvious bugs. Avoid reading extra context beyond the changes, focusing just on the changes themselves. Focus on large bugs, and avoid small issues and nitpicks. Ignore likely false positives.
-   c. Agent #5: Read the git blame and history of the code modified, to identify any bugs in light of that historical context
-5. For each issue found in #4, launch a parallel agent that takes the PR, issue description, and list of CLAUDE.md files (from step 2), and returns a score to indicate the agent's level of confidence for whether the issue is real or false positive. To do that, the agent should score each issue on a scale from 0-100, indicating its level of confidence. For issues that were flagged due to CLAUDE.md instructions, the agent should double check that the CLAUDE.md actually calls out that issue specifically. The scale is (give this rubric to the agent verbatim):
+1. Use a Haiku agent to check if the pull request (a) is closed, (b) is a draft, (c) does not need a code review (eg. because it is an automated pull request, or is very simple and obviously ok), or (d) already has a code review from you from earlier. If so, do not proceed.
+2. Use another Haiku agent to give you a list of file paths to (but not the contents of) any relevant CLAUDE.md files from the codebase: the root CLAUDE.md file (if one exists), as well as any CLAUDE.md files in the directories whose files the pull request modified
+3. Use a Haiku agent to view the pull request, and ask the agent to return a summary of the change
+4. Then, launch 5 parallel Sonnet agents to independently code review the change. The agents should do the following, then return a list of issues and the reason each issue was flagged (eg. CLAUDE.md adherence, bug, historical git context, etc.):
+   a. Agent #1: Audit the changes to make sure they compily with the CLAUDE.md. Note that CLAUDE.md is guidance for Claude as it writes code, so not all instructions will be applicable during code review.
+   b. Agent #2: Read the file changes in the pull request, then do a shallow scan for obvious bugs. Avoid reading extra context beyond the changes, focusing just on the changes themselves. Focus on large bugs, and avoid small issues and nitpicks. Ignore likely false positives.
+   c. Agent #3: Read the git blame and history of the code modified, to identify any bugs in light of that historical context
+   d. Agent #4: Read previous pull requests that touched these files, and check for any comments on those pull requests that may also apply to the current pull request.
+   e. Agent #5: Read code comments in the modified files, and make sure the changes in the pull request comply with any guidance in the comments.
+5. For each issue found in #4, launch a parallel Haiku agent that takes the PR, issue description, and list of CLAUDE.md files (from step 2), and returns a score to indicate the agent's level of confidence for whether the issue is real or false positive. To do that, the agent should score each issue on a scale from 0-100, indicating its level of confidence. For issues that were flagged due to CLAUDE.md instructions, the agent should double check that the CLAUDE.md actually calls out that issue specifically. The scale is (give this rubric to the agent verbatim):
    a. 0: Not confident at all. This is a false positive that doesn't stand up to light scrutiny, or is a pre-existing issue.
    b. 25: Somewhat confident. This might be a real issue, but may also be a false positive. The agent wasn't able to verify that it's a real issue. If the issue is stylistic, it is one that was not explicitly called out in the relevant CLAUDE.md.
    c. 50: Moderately confident. The agent was able to verify this is a real issue, but it might be a nitpick or not happen very often in practice. Relative to the rest of the PR, it's not very important.
    d. 75: Highly confident. The agent double checked the issue, and verified that it is very likely it is a real issue that will be hit in practice. The existing approach in the PR is insufficient. The issue is very important and will directly impact the code's functionality, or it is an issue that is directly mentioned in the relevant CLAUDE.md.
    e. 100: Absolutely certain. The agent double checked the issue, and confirmed that it is definitely a real issue, that will happen frequently in practice. The evidence directly confirms this.
 6. Filter out any issues with a score less than 80. If there are no issues that meet this criteria, do not proceed.
-7. Finally, comment back on the pull request with a list of issues you found. When writing your comment, keep in mind to:
+7. Use a Haiku agent to repeat the eligibility check from #1, to make sure that the pull request is still eligible for code review.
+8. Finally, use the gh bash command to comment back on the pull request with the result. When writing your comment, keep in mind to:
    a. Keep your output brief
    b. Avoid emojis
    c. Link and cite relevant code, files, and URLs
@@ -31,26 +35,29 @@ Examples of false positives, for steps 4 and 5:
 - Pre-existing issues
 - Something that looks like a bug but is not actually a bug
 - Pedantic nitpicks that a senior engineer wouldn't call out
-- Issues that a linter will catch (no need to run the linter to verify)
-- General code quality issues (eg. lack of test coverage, general security issues), unless explicitly required in CLAUDE.md
+- Issues that a linter, typechecker, or compiler would catch (eg. missing or incorrect imports, type errors, broken tests, formatting issues, pedantic style issues like newlines). No need to run these build steps yourself -- it is safe to assume that they will be run separately as part of CI.
+- General code quality issues (eg. lack of test coverage, general security issues, poor documentation), unless explicitly required in CLAUDE.md
 - Issues that are called out in CLAUDE.md, but explicitly silenced in the code (eg. due to a lint ignore comment)
+- Changes in functionality that are likely intentional or are directly related to the broader change
+- Real issues, but on lines that the user did not modify in their pull request
 
 Notes:
 
+- Do not check build signal or attempt to build or typecheck the app. These will run separately, and are not relevant to your code review.
 - Use `gh` to interact with Github (eg. to fetch a pull request, or to create inline comments), rather than web fetch
 - Make a todo list first
 - You must cite and link each bug (eg. if referring to a CLAUDE.md, you must link it)
-- For your comment, follow the following format precisely (assuming for this example that you found 3 issues):
+- For your final comment, follow the following format precisely (assuming for this example that you found 3 issues):
 
 ---
 
-## Code review
+### Code review
 
 Found 3 issues:
 
 1. <brief description of bug> (CLAUDE.md says "<...>")
 
-<link to file and line with full sha1 + line range for context, eg. https://github.com/anthropics/claude-code/blob/1d54823877c4de72b2316a64032a54afc404e619/README.md#L13-L17>
+<link to file and line with full sha1 + line range for context, note that you MUST provide the full sha and not use bash here, eg. https://github.com/anthropics/claude-code/blob/1d54823877c4de72b2316a64032a54afc404e619/README.md#L13-L17>
 
 2. <brief description of bug> (some/other/CLAUDE.md says "<...>")
 
@@ -70,14 +77,15 @@ Found 3 issues:
 
 ---
 
-## Auto code review
+### Code review
 
 No issues found. Checked for bugs and CLAUDE.md compliance.
 
-## 🤖 Generated with [Claude Code](https://claude.ai/code)
+🤖 Generated with [Claude Code](https://claude.ai/code)
 
 - When linking to code, follow the following format precisely, otherwise the Markdown preview won't render correctly: https://github.com/anthropics/claude-cli-internal/blob/c21d3c10bc8e898b7ac1a2d745bdc9bc4e423afe/package.json#L10-L15
   - Requires full git sha
+  - You must provide the full sha. Commands like `https://github.com/owner/repo/blob/$(git rev-parse HEAD)/foo/bar` will not work, since your comment will be directly rendered in Markdown.
   - Repo name must match the repo you're code reviewing
   - # sign after the file name
   - Line range format is L[start]-L[end]

plugins/explanatory-output-style/hooks-handlers/session-start.sh

@@ -1,4 +1,4 @@
-#!/bin/bash
+#!/usr/bin/env bash
 
 # Output the explanatory mode instructions as additionalContext
 # This mimics the deprecated Explanatory output style

plugins/frontend-design/README.md

@@ -0,0 +1,31 @@
+# Frontend Design Plugin
+
+Generates distinctive, production-grade frontend interfaces that avoid generic AI aesthetics.
+
+## What It Does
+
+Claude automatically uses this skill for frontend work. Creates production-ready code with:
+
+- Bold aesthetic choices
+- Distinctive typography and color palettes
+- High-impact animations and visual details
+- Context-aware implementation
+
+## Usage
+
+```
+"Create a dashboard for a music streaming app"
+"Build a landing page for an AI security startup"
+"Design a settings panel with dark mode"
+```
+
+Claude will choose a clear aesthetic direction and implement production code with meticulous attention to detail.
+
+## Learn More
+
+See the [Frontend Aesthetics Cookbook](https://github.com/anthropics/claude-cookbooks/blob/main/coding/prompting_for_frontend_aesthetics.ipynb) for detailed guidance on prompting for high-quality frontend design.
+
+## Authors
+
+Prithvi Rajasekaran (prithvi@anthropic.com)
+Alexander Bricken (alexander@anthropic.com)

plugins/frontend-design/skills/frontend-design/SKILL.md

@@ -0,0 +1,42 @@
+---
+name: frontend-design
+description: Create distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, or applications. Generates creative, polished code that avoids generic AI aesthetics.
+license: Complete terms in LICENSE.txt
+---
+
+This skill guides creation of distinctive, production-grade frontend interfaces that avoid generic "AI slop" aesthetics. Implement real working code with exceptional attention to aesthetic details and creative choices.
+
+The user provides frontend requirements: a component, page, application, or interface to build. They may include context about the purpose, audience, or technical constraints.
+
+## Design Thinking
+
+Before coding, understand the context and commit to a BOLD aesthetic direction:
+- **Purpose**: What problem does this interface solve? Who uses it?
+- **Tone**: Pick an extreme: brutally minimal, maximalist chaos, retro-futuristic, organic/natural, luxury/refined, playful/toy-like, editorial/magazine, brutalist/raw, art deco/geometric, soft/pastel, industrial/utilitarian, etc. There are so many flavors to choose from. Use these for inspiration but design one that is true to the aesthetic direction.
+- **Constraints**: Technical requirements (framework, performance, accessibility).
+- **Differentiation**: What makes this UNFORGETTABLE? What's the one thing someone will remember?
+
+**CRITICAL**: Choose a clear conceptual direction and execute it with precision. Bold maximalism and refined minimalism both work - the key is intentionality, not intensity.
+
+Then implement working code (HTML/CSS/JS, React, Vue, etc.) that is:
+- Production-grade and functional
+- Visually striking and memorable
+- Cohesive with a clear aesthetic point-of-view
+- Meticulously refined in every detail
+
+## Frontend Aesthetics Guidelines
+
+Focus on:
+- **Typography**: Choose fonts that are beautiful, unique, and interesting. Avoid generic fonts like Arial and Inter; opt instead for distinctive choices that elevate the frontend's aesthetics; unexpected, characterful font choices. Pair a distinctive display font with a refined body font.
+- **Color & Theme**: Commit to a cohesive aesthetic. Use CSS variables for consistency. Dominant colors with sharp accents outperform timid, evenly-distributed palettes.
+- **Motion**: Use animations for effects and micro-interactions. Prioritize CSS-only solutions for HTML. Use Motion library for React when available. Focus on high-impact moments: one well-orchestrated page load with staggered reveals (animation-delay) creates more delight than scattered micro-interactions. Use scroll-triggering and hover states that surprise.
+- **Spatial Composition**: Unexpected layouts. Asymmetry. Overlap. Diagonal flow. Grid-breaking elements. Generous negative space OR controlled density.
+- **Backgrounds & Visual Details**: Create atmosphere and depth rather than defaulting to solid colors. Add contextual effects and textures that match the overall aesthetic. Apply creative forms like gradient meshes, noise textures, geometric patterns, layered transparencies, dramatic shadows, decorative borders, custom cursors, and grain overlays.
+
+NEVER use generic AI-generated aesthetics like overused font families (Inter, Roboto, Arial, system fonts), cliched color schemes (particularly purple gradients on white backgrounds), predictable layouts and component patterns, and cookie-cutter design that lacks context-specific character.
+
+Interpret creatively and make unexpected choices that feel genuinely designed for the context. No design should be the same. Vary between light and dark themes, different fonts, different aesthetics. NEVER converge on common choices (Space Grotesk, for example) across generations.
+
+**IMPORTANT**: Match implementation complexity to the aesthetic vision. Maximalist designs need elaborate code with extensive animations and effects. Minimalist or refined designs need restraint, precision, and careful attention to spacing, typography, and subtle details. Elegance comes from executing the vision well.
+
+Remember: Claude is capable of extraordinary creative work. Don't hold back, show what can truly be created when thinking outside the box and committing fully to a distinctive vision.

plugins/learning-output-style/hooks-handlers/session-start.sh

@@ -1,4 +1,4 @@
-#!/bin/bash
+#!/usr/bin/env bash
 
 # Output the learning mode instructions as additionalContext
 # This combines the unshipped Learning output style with explanatory functionality