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Todo Tracker

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jdrhyne
todo-tracker

Persistent TODO scratch pad for tracking tasks across sessions. Use when the user asks to add, list, complete, remove, or summarize tasks in a portable workspace Markdown file. Uses stable task IDs and exact matching; heartbeat reporting is opt-in and count-only.

Overview

Publisherjdrhyne
Repositoryagent-skills
Skill nametodo-tracker
Stars
240
Forks
30
Bundled files
2
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.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

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

Installation

Install the Todo Tracker 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.
  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/jdrhyne/agent-skills.git /tmp/agent-skills
mkdir -p .claude/skills
cp -r /tmp/agent-skills/clawdbot/todo-tracker .claude/skills/todo-tracker
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Todo Tracker 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 Todo Tracker 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 Todo Tracker 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.

TODO Tracker

Maintain a portable Markdown task file without a service or database. Use the bundled script for every operation; do not edit task lines with ad hoc regex commands.

Runtime requirements: Bash and standard awk, cp, chmod, mkdir, mktemp, and mv utilities. Tasks are stored in a user-configurable local Markdown file.

File and Script

  • TODO_FILE selects the task file. Default: TODO.md in the current workspace.
  • Always invoke the bundled script through {baseDir} so execution does not depend on the current directory.
  • Read operations do not create a file.
  • Writes use an adjacent lock, atomic same-directory renames, mode 600, and a recoverable previous-state backup at ${TODO_FILE}.bak.
  • ${TODO_FILE}.next-id is an adjacent mode-600 monotonic ID counter. Keep it with the task file when moving or restoring the tracker; backup rotation must not replace or delete it.
bash
TODO_FILE="$PWD/TODO.md" bash "{baseDir}/scripts/todo.sh" list

Do not use a machine-specific path. Quote TODO_FILE, IDs, and item text.

Stable Identity

New tasks receive monotonic IDs such as T000001. Task text is matched literally and exactly, never as a regex or substring.

  • Under the same writer lock, the script bootstraps the counter from the current task file, ${TODO_FILE}.bak, and any valid existing counter. It reserves and atomically persists the next counter value before publishing a task-file mutation, so a crash may create an ID gap but cannot reuse an ID.
  • Only the structured ID field immediately after a task checkbox participates in counter bootstrapping. ID-looking text inside a task title remains literal task content and never advances the counter.
  • A missing counter is created safely on the next write. A corrupt, symbolic-link, non-regular, or non-0600 counter fails closed; do not delete or reset it to bypass the check.
  • Prefer an ID for done and always use an ID for approved removal.
  • An exact-text target must match one task only.
  • Duplicate open task text is rejected.
  • An ambiguous exact-text target is rejected and the script reports the matching IDs.
  • On the first operation that must resolve or mutate a legacy file, task lines without IDs are assigned deterministic IDs under the writer lock and the migration is persisted atomically; the original remains in the backup. A removal preview can trigger this recoverable metadata migration even though it removes no task.

Commands

Read

bash
TODO_FILE="$PWD/TODO.md" bash "{baseDir}/scripts/todo.sh" list
TODO_FILE="$PWD/TODO.md" bash "{baseDir}/scripts/todo.sh" list high
TODO_FILE="$PWD/TODO.md" bash "{baseDir}/scripts/todo.sh" summary

If the file does not exist, list reports that fact and summary returns zero counts. Neither creates state.

Add

bash
TODO_FILE="$PWD/TODO.md" bash "{baseDir}/scripts/todo.sh" add high "Review launch checklist"

Priority must be high, medium, or low. Capture the returned stable ID.

Complete

bash
TODO_FILE="$PWD/TODO.md" bash "{baseDir}/scripts/todo.sh" done T000001

Exact text is accepted only when it identifies one open task. Completion preserves the stable ID and moves the task to Done.

Remove

Removal is destructive and requires an exact preview plus action-time approval.

  1. Resolve and preview without removing the task. For a legacy file, this first operation may atomically persist stable IDs and the adjacent monotonic counter before returning the preview. The pre-migration file remains in ${TODO_FILE}.bak, and no task is removed:

    bash
    TODO_FILE="$PWD/TODO.md" bash "{baseDir}/scripts/todo.sh" remove "exact task text"

    The command exits without removal and prints the exact stable ID. Repeating the operation uses the persisted ID rather than migrating or advancing the counter again.

  2. Show the user that ID and task text. Ask for approval to remove that exact task.

  3. Only after approval, run the command contract naming and confirming the same ID:

    bash
    TODO_FILE="$PWD/TODO.md" bash "{baseDir}/scripts/todo.sh" remove T000001 --confirm T000001

Never infer approval from a partial name, prior unrelated removal, or a bulk request. Remove tasks one exact stable ID at a time.

Heartbeat

Heartbeat access is off by default. Enable it only when the user explicitly opts in by configuring TODO_HEARTBEAT_ENABLED=1 for that heartbeat workflow.

bash
TODO_FILE="$PWD/TODO.md" TODO_HEARTBEAT_ENABLED=1 \
  bash "{baseDir}/scripts/todo.sh" heartbeat

Heartbeat output contains counts only: total, high, medium, low, and stale. It never prints task titles or notes. Do not create a schedule merely because this skill is installed.

File Format

markdown
# TODO Tracker

*Last updated: 2026-08-29*

## 🔴 High Priority
- [ ] [T000001] Review launch checklist (added: 2026-08-29)

## 🟡 Medium Priority

## 🟢 Nice to Have

## ✅ Done
- [x] [T000002] Verify release notes (done: 2026-08-29)

If a write fails because the lock exists, do not remove the lock while another process may be active. Investigate the writer and retry only after the lock is known to be stale.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Todo Tracker AI skill do?

Persistent TODO scratch pad for tracking tasks across sessions. Use when the user asks to add, list, complete, remove, or summarize tasks in a portable workspace Markdown file. Uses stable task IDs and exact matching; heartbeat reporting is opt-in and count-only.

Why use Todo Tracker on TypingMind?

Because you install it once and use it with any model. Todo Tracker 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 Todo Tracker in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/jdrhyne/agent-skills/tree/main/clawdbot/todo-tracker. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Todo Tracker?

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 Todo Tracker?

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

Is the Todo Tracker AI skill free?

Yes. It is published on GitHub by jdrhyne 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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