hacktivist123

hacktivist123 / agent-session-resume

Public

Cross-agent session resume skill for Claude Code, Codex, Antigravity, and OpenCode.

53
1
100% credibility
Found Apr 26, 2026 at 52 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A skill package that helps AI coding assistants resume previous work sessions by summarizing completed tasks and identifying next steps.

How It Works

1
😩 Frustrated by lost progress

You're using AI helpers for coding projects but keep having to repeat all the details each time you switch or continue.

2
🔍 Find the resume helper

You discover a simple skill that lets any AI coding helper pick up exactly where the last one stopped.

3
Add it to your AI tool
🛒
Tool's built-in store

Search for it in your tool's add-ons area and install with a tap.

📥
Quick folder copy

Download the skill files and drop them into your tool's special folder.

4
💬 Tell AI to resume

In your chat with the AI, just say 'resume the previous session' or name the old notes file.

5
📖 AI reviews old work

The AI quickly reads the past session, sums up what's finished, partly done, or still needed.

6
🚀 Picks up right away

Your AI starts on the very next task, skipping all the done parts for smooth progress.

✅ Finish faster together

Your coding project moves forward without wasted repeats, feeling organized and efficient.

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Star Growth

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AI-Generated Review

What is agent-session-resume?

This Python skill lets you resume AI coding sessions across agents like Claude Code, Codex, Antigravity, and OpenCode, pulling context from prior transcripts or handoffs to avoid redoing work. It reconstructs goals, sorts tasks into DONE, PARTIALLY DONE, or NOT DONE, and picks up from the first unfinished step—perfect for cross-agent handoffs where context would otherwise vanish. Invoke it with simple commands like `/agent-session-resume` to get a summary, status breakdown, and next action.

Why is it gaining traction?

It stands out with cross-agent compatibility, handling session resumes from diverse outputs without custom tweaks per tool. Developers dig the structured workflow that enforces reading full context first, cutting hallucinations and duplicates—unlike raw prompts that make agents guess history. Easy installs via plugin marketplaces or CLI keep friction low.

Who should use this?

Backend devs iterating on repos with Claude Code then switching to Codex for refactors. AI workflow tinkerers bouncing between Antigravity and OpenCode who hate recapping sessions. Teams doing agent handoffs in Python projects needing reliable resume points.

Verdict

Grab it if you're in the multi-agent game—solid docs, validators, and fixture tests show care despite 37 stars and 1.0% credibility score signaling early maturity. Worth a test install for cross-agent Python coding flows, but watch for broader adoption.

(178 words)

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