Read and manage daplug configuration from CLAUDE.md using <daplug_config> blocks, with legacy fallback and migration support.
Reads and manages daplug configuration from CLAUDE.md using <daplug_config> blocks, with legacy fallback and migration support.
/plugin marketplace add cruzanstx/daplug/plugin install daplug@cruzanstxThis skill is limited to using the following tools:
scripts/config.pytests/test_config_reader.pyCentralized configuration reader/migrator for daplug settings stored in <daplug_config> blocks inside CLAUDE.md. Provides backwards compatibility with legacy plaintext settings and safe migrations.
<daplug_config>
preferred_agent: codex
worktree_dir: .worktrees/
llms_txt_dir: /storage/projects/docker/llms_txt
ai_usage_awareness: enabled
cli_logs_dir: ~/.claude/cli-logs/
</daplug_config>
PLUGIN_ROOT=$(jq -r '.plugins."daplug@cruzanstx"[0].installPath' ~/.claude/plugins/installed_plugins.json)
CONFIG_READER="$PLUGIN_ROOT/skills/config-reader/scripts/config.py"
python3 "$CONFIG_READER" get preferred_agent
python3 "$CONFIG_READER" dump --json
python3 "$CONFIG_READER" dump --env
python3 "$CONFIG_READER" status
python3 "$CONFIG_READER" status --json
python3 "$CONFIG_READER" check-legacy
# Project and user
python3 "$CONFIG_READER" migrate --all
# Project only
python3 "$CONFIG_READER" migrate --project
# User only
python3 "$CONFIG_READER" migrate --user
# Project scope
python3 "$CONFIG_READER" set worktree_dir ".worktrees/" --scope project
# User scope
python3 "$CONFIG_READER" set preferred_agent "codex" --scope user
Activates when the user asks about AI prompts, needs prompt templates, wants to search for prompts, or mentions prompts.chat. Use for discovering, retrieving, and improving prompts.
Search, retrieve, and install Agent Skills from the prompts.chat registry using MCP tools. Use when the user asks to find skills, browse skill catalogs, install a skill for Claude, or extend Claude's capabilities with reusable AI agent components.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.