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autodesign

Name: autodesign
Author: hironow

By hironow

Autonomous web design exploration plugin. Iteratively explores design variations under quality constraints using git-based keep/revert cycles, inspired by autoresearch.

npx claudepluginhub hironow/dotfiles --plugin autodesign

Popularity

Stars

Med: 0·Avg: 285

Installs

Med: 0·Avg: 1

What's Inside

Agents1

designer

/designer

Use this agent when running autonomous design exploration iterations that modify target web artifacts, evaluate against quality constraints, and keep or revert based on composite score. This agent handles a single exploration cycle independently. <example> Context: The user has set up a design config and wants to start exploring. user: "Start exploring design variations for the dashboard" assistant: "I'll launch the designer agent to begin the autonomous design exploration." <commentary> The user wants autonomous design exploration. The designer agent handles the hypothesize-modify-evaluate-decide cycle independently. </commentary> </example> <example> Context: A design exploration loop is in progress and the user wants to continue. user: "Keep exploring more design variations" assistant: "I'll spawn the designer agent to run the next exploration iteration." <commentary> Continuing an existing exploration loop. The designer reads current state from git and design-results.tsv to pick up where it left off. </commentary> </example> <example> Context: The user wants to try a specific design idea within the loop. user: "Try changing the color scheme to a dark palette" assistant: "I'll launch the designer agent with that specific hypothesis." <commentary> User provides a specific hypothesis. The designer implements, evaluates, and decides keep/revert based on the result. </commentary> </example>

Skills4

analyze-results

/analyze-results

Analyze results from an autodesign exploration loop. This skill should be used when the user asks to "analyze design results", "show design progress", "summarize design exploration", "what designs worked", "design statistics", "which exploration axis performed best", or needs to review the results from design-results.tsv.

design-loop

/design-loop

Core methodology reference for the autodesign keep/revert cycle. This skill provides the rules, decision logic, and error recovery patterns for the autonomous loop — not the top-level entry point (use /design for that). Applicable when the user asks about "autodesign pattern", "keep/revert logic", "design decision criteria", "design exploration strategy", "run keep/revert design optimization", or needs guidance on how the autonomous explore-evaluate-decide cycle works internally.

design

/design

This skill should be used when the user asks to "start design exploration", "run autonomous design", "explore design variations", "optimize my design", "begin design loop", "run autodesign", or needs to start or resume an autonomous web design exploration loop. This is the top-level entry point that orchestrates setup and loop execution. For internal keep/revert methodology, see the design-loop skill.

setup-design

/setup-design

This skill should be used when the user asks to "set up a design experiment", "initialize a design exploration", "create design config", "prepare design branch", or needs to configure the autodesign environment before starting an autonomous design exploration loop.

Hooks1

Event Hooks

File writes

1 hook across 1 event

Stats

Version0.2.0

LanguagePython

Stars0

MaintenanceGood

LicenseMIT

Last CommitMar 21, 2026

AddedMar 25, 2026

Actions

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Available In

hironow-plugins

Safety Signals

Caution

Modifies files

Hook triggers on file write and edit operations

Uses power tools

Uses Bash, Write, or Edit tools

README

dotfiles

My configuration for Zsh, Mise, Just, and more.

Installation

Requires curl and git.

bash -c "$(curl -fsSL https://raw.githubusercontent.com/hironow/dotfiles/main/install.sh)"

[!NOTE]
Mac, Linux, Windows(WSL内Linux)へ対応

usage

# just (task runner)
just help

just sync-agents-preview
just sync-agents

just update-all
just dump

# diagnostics
just self-check
# run with quick validate tests (needs Docker)
just self-check with_tests=1
just doctor
just validate-path-duplicates

# uv on mise
mx uv sync

# just on mise
mx just --list

# mise env
mx dotenvx run -- mise set
# mise env with github credentials (use gh extension)
gh do -- mise set

# set env by dotenvx (encrypted)
mx dotenvx set HELLO World
# set env by mise (plain, unencrypted)
mx mise set WORLD=hello

tests (docker required)

# run all sandbox tests
just test

# run by pytest marker (install/validate/versions/deploy/check)
just test-mark marker=validate

# verify install.sh (docker required)
just test-install

install options

# full install
bash ./install.sh

# lightweight (skip heavy tools)
INSTALL_SKIP_HOMEBREW=1 INSTALL_SKIP_GCLOUD=1 INSTALL_SKIP_ADD_UPDATE=1 bash ./install.sh

setup for https localhost

# check A record for localhost -> 127.0.0.1
dig localhost.hironow.dev

# create/update cert for https
sudo certbot certonly --manual --preferred-challenges dns -d localhost.hironow.dev --config-dir ${config_root}/private/certificates

# check simple-server for https localhost
cd tools/simple-server
sudo mise x -- go run main.go

Tools

Tools: Collection of utility scripts and tools (e.g., RTTM converter, simple server).

references

mcp setup

claude mcp add -s user chrome-devtools bunx chrome-devtools-mcp@latest
claude mcp add -s user -t http deepwiki https://mcp.deepwiki.com/mcp

# latest documentation MCP per user
claude mcp add -s user -t http bun https://bun.com/docs/mcp
claude mcp add -s user -t http cloudflare https://docs.mcp.cloudflare.com/mcp
claude mcp add -s user -t http vercel https://mcp.vercel.com
claude mcp add -s user -t http livekit-docs https://docs.livekit.io/mcp
claude mcp add -s user -t http openai https://developers.openai.com/mcp
# -- Google Cloud: https://developers.google.com/knowledge/mcp#gcloud-cli
YOUR_PROJECT_ID=<your-project-id>
gcloud beta services mcp enable developerknowledge.googleapis.com --project=$YOUR_PROJECT_ID
# -- needs credentials setup
# gcloud auth login
# gcloud auth application-default login
gcloud services api-keys create --project=$YOUR_PROJECT_ID --display-name="DK API Key"
YOUR_API_KEY=<your-keyString>
claude mcp add google-dev-knowledge -s user -t http https://developerknowledge.googleapis.com/mcp --header "X-Goog-Api-Key: $YOUR_API_KEY"
# -- AWS: https://awslabs.github.io/mcp/servers/aws-knowledge-mcp-server/
claude mcp add -s user -t http aws-knowledge-mcp-server https://knowledge-mcp.global.api.aws
# -- k6: https://grafana.com/docs/k6/latest/release-notes/v1.6.0/#introducing-mcp-k6-ai-assisted-k6-script-writing-mcp-k6
claude mcp add --scope=user --transport=stdio k6 -- docker run --rm -i grafana/mcp-k6

# specific (needs copy for other agents' directory) per project
claude mcp add -s project -t http jaeger http://localhost:16687/mcp

MCP catalog refs.

skill setup

justfile経由で CLAUDE_CONFIG_DIR を切り替えつつ操作できる:

just skills ls                # デフォルトconfigでスキル一覧
just skills add <repo> --all  # スキル追加
just env=a skills ls -g       # ~/.claude-work-a 向け
just env=b skills ls -g       # ~/.claude-work-b 向け
just env=c skills ls -g       # ~/.claude-work-c 向け
just env=d skills ls -g       # ~/.claude-work-d 向け
just env=p skills ls -g       # ~/.claude (personal) 向け

just skills add vercel-labs/agent-skills
just skills add modelcontextprotocol/ext-apps
just skills add wandb/skills
just skills add https://github.com/googleworkspace/cli
# browser: https://github.com/vercel-labs/agent-browser?tab=readme-ov-file#agentsmd--claudemd
just skills add vercel-labs/agent-browser

Skill catalog refs.

https://skills.sh/

git setup

# avoid merge commits when pulling
git config --global pull.rebase true

win setup (WSL)

View full README on GitHub

autodesign

Popularity

What's Inside

Confidence

README

dotfiles

Installation

usage

tests (docker required)

install options

setup for https localhost

Tools

references

mcp setup

skill setup

git setup

win setup (WSL)

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git setup

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