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Shift Notes

Community
Archive228
shift-notes

Write and read the between-session handoff file so a fresh agent with no memory can pick up where the last one stopped without re-deriving context. Structured prose, not JSON — the model writes prose better.

Overview

PublisherArchive228
Repositoryloopkit
Skill nameshift-notes
Stars
755
Forks
124
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by Archive228 on GitHub. Read the source before you install it.

Installation

Install the Shift Notes AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/Archive228/loopkit/tree/main/skills/shift-notes
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/Archive228/loopkit.git /tmp/loopkit
mkdir -p .claude/skills
cp -r /tmp/loopkit/skills/shift-notes .claude/skills/shift-notes
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Shift Notes in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Shift Notes on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Shift Notes is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Shift Notes

The hard problem in long-running agents is not doing work in one session — it's bridging the context gap between sessions. Every fresh agent starts with zero memory. If it has to reconstruct project state from the code, it burns 5-10 minutes and a chunk of context before writing a line. If it has a well-shaped handoff file, that drops to 30-60 seconds.

That handoff file is claude-progress.txt (or equivalent). Prose, not JSON. The model writes prose more naturally, and the read is cheap.

The format — write into this shape

# Project: <name>
# Last updated: <ISO timestamp> by session <id>

## What's done
- <feature> [feature-list index: N]
- ...

## What's in progress
- <feature> [feature-list index: N]
  Status: <one paragraph — what works, what doesn't>
  Files touched this session: <list>
  Known open issues: <list>

## What's next (recommended)
- <feature> [feature-list index: N]
  Reason: <why this one>

## Notes for the next session
<free-form prose: gotchas, flaky tests, environment quirks>

Enforced softly by the prompt, not by validation. Free text is the point — the notes section is where the previous shift warns the next one about the thing that isn't captured anywhere else.

Writing the notes — at end of session

  • Move the completed feature from "in progress" to "done".
  • Recommend the next feature in "what's next" with a one-line reason (unblocks-N, low-risk, prerequisite-for-M).
  • Notes-for-next-session is the highest-leverage field. Use it for: flaky tests you hit, dependencies that surprised you, spec ambiguities you resolved one way (so the next agent doesn't re-litigate), env vars that need to be set.
  • Do not delete "done" entries. They're audit trail. If the section gets long, that's a signal to compact the whole notes file at v0.2 milestones, not to prune mid-project.

Reading the notes — at start of session

  • Read the whole file. It's small.
  • If shift notes and git log disagree, trust the git log. The notes can be truncated by a crashed session; the log can't. This is a load-bearing rule.
  • Cross-reference "what's done" against the feature list. If the notes claim done but the feature list says not-done, run broken-window-check.
  • Pick work from "what's next" unless it's stale (a new session already picked it).

Red flags

  • Notes rewritten every session from scratch. Lose history, lose audit trail. Append and edit in place, don't overwrite.
  • "What's done" section grows unboundedly. Fine up to ~40 entries. Past that, compact by feature milestone.
  • Ambiguous "in progress" prose. The next session will misread "the button is wired but the state doesn't refresh" as "done" if you write "button works". Be precise about what fails.
  • Notes drift out of sync with the feature list. Feature list is source of truth for pass/fail state; notes are the prose gloss. When they disagree, the list wins.
  • JSON handoff file. Tried and abandoned — the model wrote shorter, less useful notes when forced into JSON. Prose wins for prose.

What NOT to put in the notes

  • Full file contents. Reference paths, not blobs.
  • Chain-of-thought for the session. Compact it into a status line.
  • Anything that belongs in the feature list (pass/fail state) or in git (what changed).

Pairs with

  • broken-window-check — reads the "what's done" list to know what to smoke-test.
  • spec-first — the spec is the contract; the notes are the ledger against it.
  • context-budget — the notes are the compact recap the context-budget skill wants.

The shift-notes file is the memory of the project. Treat it as load-bearing.

Frequently asked questions

What does the Shift Notes AI skill do?

Write and read the between-session handoff file so a fresh agent with no memory can pick up where the last one stopped without re-deriving context. Structured prose, not JSON — the model writes prose better.

Why use Shift Notes on TypingMind?

Because you install it once and use it with any model. Shift Notes is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Shift Notes in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Archive228/loopkit/tree/main/skills/shift-notes. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Shift Notes?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Shift Notes?

As many as you like. As long as a model supports skills, you can use Shift Notes with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Shift Notes AI skill free?

Yes. It is published on GitHub by Archive228 under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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