Entire is a new developer platform that hooks into your git workflow to capture AI agent sessions on every push, unifying your code with its context.
Entire is the author behind skills that let an AI agent research a codebase, trace why code looks the way it does, and walk through how a feature was built, all by reading the session history recorded alongside git commits. Their most popular skills cover searching recorded prompts and transcripts before reading source files, replaying a feature's checkpoints step by step, turning past sessions into reusable skills, and handing work off between agents.
Skills
12 skills · 239 stars · MIT
Address Findings Address the review findings posted on an Entire trail: fetch the trail's open findings, fix the c…
Explain Explains the intent behind source code by finding original session transcripts.
Recall Use when the user describes a task and wants to know whether something similar has been done befo…
Replay Use when the user wants to step through a feature's checkpoints chronologically, pausing at each…
Review Review code changes on the current branch using checkpoint transcript context to understand devel…
Search Use when the user asks to research, investigate, look into, dig into, or search for anything — a…
Session Crosslink Use when an agent session ran outside the repo whose commits should record it — e.g.
Session Handoff Use when the user wants to continue work from one agent in another agent, inspect recent sessions…
Session To Skill Use when the user wants to turn one or more Entire-tracked sessions, checkpoints, or repeated age…
Teach Use when a developer wants a topic-focused guided lesson built from canonical checkpoints, not a…
Using Entire Use as the FIRST action on any research, investigation, or codebase-understanding request — "rese…
What Happened Explain why code looks the way it does by tracing the latest change for a file range or pasted sn…