vim-snipplr


Ⅰ. 插件描述

frontend for

Ⅱ. 基本信息

创建日期:  2010-07-07
使用用户:  1
Github星:  3
插件作者:  t9md jp

Ⅲ. 安装方法

使用Vundle管理器安装

在你的.vimrc下添加:
Plugin '/vim-snipplr'
… 然后在Vim中运行以下命令:
:source %
:PluginInstall

对于Vundle版本 < 0.10.2,请用上面的Bundle替换Plugin。

使用NeoBundle管理器安装

在你的.vimrc下添加:
NeoBundle '/vim-snipplr'
… 然后在Vim中运行以下命令:
:source %
:NeoBundleInstall

使用VimPlug管理器安装

在你的.vimrc下添加:
Plug '/vim-snipplr'
… 然后在Vim中运行以下命令:
:source %
:PlugInstall

使用Pathogen管理器安装

在终端中运行以下命令:
cd ~/.vim/bundle
git clone https://github.com/vim-scripts/vim-snipplr

Ⅳ. 文档说明

snipplr.vim

Snipplr.vim is frontend for http://www.snipplr.com/
You can open your favoritted snippet or get snippet you specified by ID or URL.
Require Ruby to work(not require +ruby feature).
Currently work on *nix only.

INSTALL

    cp plugin/snipplr.vim $HOME/.vim/plugin/
    cp syntax/snipplrlist.vim $HOME/.vim/syntax/
    copy bin/snipplr.rb to one of the directory in $PATH

SETUP

Create account on http://www.snipplr.com/
You can find API KEY at buttom of "Setting" page.

then save API KEY as ~/.snipplr/api_key

GLOVAL VARIABLE

You can exclusively set path for snipplr.rb in .vimrc

    let g:snipplr_rb = '$HOME/.vim/bundle/snipplr/bin/snipplr.rb'

Command

snipplr.rb save snippets once get as ~/.snipplr/db.yml.
You can avoid cache with exlamation(!) version command.

SnipplrGet

In opend snippet buffer you can use 'i' to view informatin about that snippet.

    :SnipplrGet 1234
    :SnipplrGet http://snipplr.com/view/1234/sample

SnipplrList

    :SnipplrList
    :SnipplrList!

SnipplrFind

To this comman work, you have to install fuzzyfinder

    :SnipplrFind
    :SnipplrFind!

KeyMapping Example

    nnoremap <silent> <Space>sl :<C-u>SnipplrFind<CR>
    nnoremap <silent> <Space>sr :<C-u>SnipplrFind!<CR>

TODO

parametarize cache dir and api_key location etc..  
query with metadata(tag, user.. etc)  
post snippet from vim buffer  
more informative syntax highlight with predefined keyword for lang name  
dynamically change window height for snipplr list  
merge more than one cache data to one cache(which is comvenient for  
   collabolate with coworker  

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