devallibus

devallibus / shiplog

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SUPERCHARGE AI-assisted development by using Git. Cross-model review gates, evidence-linked closure, verification profiles, model-tier routing, artifact envelopes, and provenance signing — all from a single skill for Claude Code, Codex, and Cursor.

ai-agent-skill ai-coding claude claude-code claude-skill
14
1
100% credibility
Found Mar 16, 2026 at 14 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

Shiplog is a companion tool for AI coding assistants that records brainstorms, decisions, discoveries, and progress into persistent notes within a project's shared online workspace.

How It Works

1
📰 Discover shiplog

While chatting with your AI coding helper about building software, you learn about shiplog, a way to make sure great ideas and decisions stick around forever.

2
🔗 Add shiplog to your helper

You simply tell your AI assistant to include shiplog, connecting it to your project so it can start remembering everything.

3
💭 Brainstorm a new feature

You discuss a cool idea like better login security with your AI, and shiplog saves the full plan, options considered, and next steps as a permanent note in your project.

4
🚀 Start building

You ask shiplog to begin work on that plan, and it creates a cozy, isolated space just for this task where you and your AI can focus without distractions.

5
📖 Code and capture discoveries

As you make changes and uncover surprises or better ways, shiplog quietly notes the reasons why, what you tried, and lessons learned, keeping the full story alive.

6
📤 Finish and share the story

When ready, you tell shiplog to wrap up, and it builds a complete timeline of your journey to share safely with others or pick up later.

🔍 Your project remembers everything

Now, anytime you need to recall a past idea, decision, or what happened next, you can search your project's log and jump right back in, feeling confident and organized.

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AI-Generated Review

What is shiplog?

Shiplog turns GitHub into a persistent memory layer for AI-assisted coding with Claude Code, Codex, and Cursor. It captures brainstorms as issues, spins up isolated worktree branches for tasks, adds context-aware commits, and builds PRs with full journey timelines—solving the stateless amnesia of AI sessions where yesterday's decisions vanish. Install via `npx skills add devallibus/shiplog --skill shiplog` using just the gh CLI; it's shell-based for cross-platform use.

Why is it gaining traction?

It stands out with cross-model review gates that block self-reviews, provenance signing on artifacts like "Authored-by: claude/opus", and model-tier routing for handing off between reasoning-heavy and fast impl models. Quiet mode keeps team PRs clean while dumping full shiplog tracking into a hidden branch. Slash commands like `/shiplog plan` or `/shiplog pr` supercharge ai-assisted workflows without workflow overhaul.

Who should use this?

Solo devs or OSS maintainers relying on Claude, Codex, or Cursor for code who juggle sessions and models. Ideal for ai-assisted teams needing evidence-linked closure on issues and verifiable handoffs, like prototyping auth flows or refactoring with stacked PRs.

Verdict

Worth trying for Claude Code users frustrated by lost context—strong docs and AI endorsements show thoughtful design despite 13 stars and 1.0% credibility score. Early-stage with no tests visible, so test on side projects first before production.

(198 words)

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