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Voice Dump To Todo

Community
FAIRY123456789
voice-dump-to-todo

Convert a long, messy, repetitive, speech-recognition-heavy task dump into a precise executable to-do list. Use when the user speaks tasks in inaccurate ASR language, changes priorities mid-sentence, mixes ideas with actions, or wants a downloadable standalone interactive HTML to-do that can be saved or dragged to the desktop. Use context-aware named-entity repair when a recurring term is clearly misrecognized, preserve uncertain corrections, and produce concrete definitions of done.

Overview

PublisherFAIRY123456789
Repositoryhuman-edge-agent-skills
Skill namevoice-dump-to-todo
Stars
108
Forks
0
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 FAIRY123456789 on GitHub. Read the source before you install it.

Installation

Install the Voice Dump To Todo 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/FAIRY123456789/human-edge-agent-skills/tree/main/plugins/voice-to-work/skills/voice-dump-to-todo
  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/FAIRY123456789/human-edge-agent-skills.git /tmp/human-edge-agent-skills
mkdir -p .claude/skills
cp -r /tmp/human-edge-agent-skills/plugins/voice-to-work/skills/voice-dump-to-todo .claude/skills/voice-dump-to-todo
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Voice Dump To Todo 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 Voice Dump To Todo 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 Voice Dump To Todo 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.

Voice Dump to Todo

Purpose

The input can be chaotic. The output must be executable. Recover real commitments without converting every reflection into urgent work.

This skill is not vibe-to-spec

Use voice-dump-to-todo when the destination is a personal or team action list: what to do, decide, wait for, schedule, or park.

Use vibe-to-spec when the voice dump describes a product, system, feature, code change, webpage, API, or technical build and the destination is an implementation specification.

Instructions

  1. Read the whole dump before extracting tasks. Later sentences may correct earlier ASR errors, dates, priorities, or scope.
  2. Build a small active glossary from terms already established in the current conversation or project, explicit user glossaries, repeated names in the transcript, and host-provided memory only when it is legitimately available and relevant.
  3. Resolve suspicious ASR terms using references/asr-context-resolution.md. Do not “correct” a rare unknown name just because a familiar name exists in memory.
  4. Split content into:
    • Action — something someone should do;
    • Decision — a choice that must be made;
    • Waiting — blocked by another person or event;
    • Later — useful idea with no current commitment;
    • Background — context that should not become a task.
  5. For every Action, produce:
    • concise verb-first title;
    • concrete definition of done;
    • owner when known;
    • priority;
    • due date or time window only if actually stated or safely derived from an explicit relative date;
    • dependency;
    • uncertainty note when needed.
  6. Merge duplicates and use later explicit corrections to override earlier versions.
  7. Preserve task order when it encodes dependency. Otherwise rank by consequence and timing.
  8. Keep the active list small. Do not convert every reflection into a P0 task.
  9. When file output is requested, write a JSON task file and run scripts/render_todo.py to create a standalone interactive HTML file using localStorage.
  10. End with a short Needs confirmation section only when unresolved details materially affect execution.

Requirements

The optional HTML renderer requires Python 3 and a local UTF-8 JSON task file. It uses only the Python standard library and does not require an API key or network access.

Available Scripts

ScriptPurposeArguments
scripts/render_todo.pyRender a reviewed JSON task list as standalone HTMLtasks.json [output.html]

Default task schema

json
{
  "title": "Verb-first task",
  "details": "Definition of done",
  "owner": "",
  "priority": "P1",
  "due": "",
  "status": "todo",
  "depends_on": [],
  "uncertainty": ""
}

Output modes

  • Compact Markdown checklist
  • Structured JSON
  • Standalone interactive HTML using localStorage

Do not turn reflective thoughts into tasks unless an action is explicitly implied.

Examples

  • Input: “Send the revised deck Thursday—actually Friday—then wait for Chen's budget number; the podcast idea can stay for later.”
  • Output: one Friday delivery action, one waiting item with dependency, and one later idea; the superseded Thursday date is not retained.

To render an approved task file locally:

bash
python scripts/render_todo.py tasks.json todo.html

Limitations

Do not invent owners or dates. File creation is optional and should happen only when requested; external task-manager updates require separate authorization.

Troubleshooting

If a transcript contains conflicting dates, prefer the latest explicit correction and flag unresolved timezone ambiguity. If an item has no action or decision, keep it as background or later rather than forcing it into the active list.

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 Voice Dump To Todo AI skill do?

Convert a long, messy, repetitive, speech-recognition-heavy task dump into a precise executable to-do list. Use when the user speaks tasks in inaccurate ASR language, changes priorities mid-sentence, mixes ideas with actions, or wants a downloadable standalone interactive HTML to-do that can be saved or dragged to the desktop. Use context-aware named-entity repair when a recurring term is clearly misrecognized, preserve uncertain corrections, and produce concrete definitions of done.

Why use Voice Dump To Todo on TypingMind?

Because you install it once and use it with any model. Voice Dump To Todo 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 Voice Dump To Todo in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/FAIRY123456789/human-edge-agent-skills/tree/main/plugins/voice-to-work/skills/voice-dump-to-todo. 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 Voice Dump To Todo?

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 Voice Dump To Todo?

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

Is the Voice Dump To Todo AI skill free?

Yes. It is published on GitHub by FAIRY123456789 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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