Project

Reverse Dependencies for pivotal-tracker

The projects listed here declare pivotal-tracker as a runtime or development dependency

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Automated release notes for apps hosted on pivotaltracker.com. Allows release notes to be generated for any project on pivotaltracker.com by retrieving the latest iteration for the specified project and displaying the completed features, bugs, and chores.
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Pivotal Reporter is a Rails Mountable Engine that injects a reporting overlay for rails applications that ties into PivotalTracker in order to provide in-app bug reporting and feature requests.
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Please see the README. This tool generates some reports that could be useful if you're managing a team of developers using Pivotal Tracker
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Create speedchart from pivotal tracker
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CLI for Pivotal Tracker powered by pivotal_tracker: jsmestad/pivotal-tracker
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A mash up of PivotalTracker and git that makes a one to one story to branch mapping a lot of fun. It also works nicely with the pt PivotalTracker commandline gem. When branches are named by the PivotalTracker story id ptb will will do a git branch and list each story id branch with status, title and link to the story.
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Simple way to log messages to Pivotal tracker stories
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A gem that provides workflow driven rake tasks for git QA branch management
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Perform a number of common post deployment tasks such as delivering pivotal stories, sending out a release email, notifying campfire.
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Project status for programmers
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Run story express at the end of your build to automatically deliver all the stories that passed the build.
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Run story guard before you release to make sure that all your work is ready (or at least know what's not done).
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Utility that will automate simple daily tasks developers perform like creating a Github pull request
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Custom Point Values for Pivotal Tracker
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`tp` is a dead simple command-line utility for importing story templates into Pivotal Tracker.
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This gem contains a set of tools and extensions that West Arete uses to report on Pivotal Tracker across all of its projects. Goals: * Extract the set of stories that are available to work on across all active projects * Validate stories in the backlog to ensure that they meet our standards * Report on completed iterations for billing and reporting purposes * Wedge the following additional information into each feature: * Risk * Price
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 Popularity
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There's a lot of open issues
Pivotal/Slack integration that sends a (daily) message of how long each user has worked on a pivotal task into a slack channel/room
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