PinguApps publishes skills that guide AI agents through software delivery, from turning plans and specs into Linear milestones and tracer-bullet tickets, to implementing a single issue on a branch through to a reviewed GitHub pull request. Their most popular skills also cover looping through a Linear backlog with parallel subagents in isolated worktrees, finishing PRs by resolving conflicts and fixing CI failures, and writing agent-facing documents such as skills and AGENTS.md files.
Skills
10 skills · MIT
Complete Work Implement the work supplied alongside this skill on a new branch, commit incrementally, verify th…
Create Pr Create a GitHub pull request using the repository's PR template or the standard categorisation an…
Finish Pr Finish the GitHub pull request attached to the current branch; resolve merge conflicts, diagnose…
Implement Task Linear Implement one Linear issue through complete-work's branch-to-PR workflow, with upfront clarificat…
Loop Work Loop through a Linear team's project backlog, delegate independently actionable tickets to subage…
Plan Cycle Fill the next Linear cycle or top up the current cycle with a realistic, dependency-aware workloa…
Test Changes Explain how to manually inspect and test the work just completed in this conversation, using Powe…
To Linear Break a plan, spec, referenced issue, or current conversation into approved Linear milestones and…
To Spec Local Wrap the installed to-spec skill to synthesize an in-repository Markdown specification that can b…
Writing For Agents Writing documents for agents.