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To Tickets

Community
JasonxzWen
to-tickets

Load when an accepted specification must be decomposed into dependency-aware, project-owned implementation slices without creating a new tracker or publishing remote issues by default.

Overview

PublisherJasonxzWen
Repositoryharness-hub
Skill nameto-tickets
Stars
71
Forks
0
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 JasonxzWen on GitHub. Read the source before you install it.

Installation

Install the To Tickets 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/JasonxzWen/harness-hub.git /tmp/harness-hub
mkdir -p .claude/skills
cp -r /tmp/harness-hub/skills/to-tickets .claude/skills/to-tickets
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable To Tickets 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 To Tickets 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 To Tickets 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.

To Tickets

Convert an accepted specification into the fewest independently verifiable execution slices the project can actually own. This Skill decomposes work; it does not become a task tracker, scheduler, or implementation workflow.

Choose The Existing Owner

Write into the existing project task, issue, or plan convention when one exists and the user authorized local mutation. If no durable project convention exists, use the existing .harness-hub/state/current-task.md as the local fallback when available.

If neither exists, return the proposed decomposition to the main Agent without creating a storage system. Do not create .harness-hub/tasks/, a new registry, or hidden run state.

Remote publication requires explicit authorization. Do not create, label, assign, comment on, or close remote issues merely because a decomposition is ready.

Decompose Vertically

Start with one vertical tracer-bullet that crosses the real user or caller path and proves the architecture. Each subsequent slice must deliver observable behavior or unlock a named dependent slice.

For every slice record:

  • outcome and accepted spec anchors
  • included behavior and explicit non-goals
  • touched public seam or integration path
  • deterministic acceptance evidence
  • blocking edges to other slices
  • risks or decisions that prevent safe execution

Avoid layer tickets such as “build database,” “build API,” and “build UI” when none is independently useful or verifiable.

Order By Dependency

Build only the dependency graph needed for execution. The current frontier is the set of slices whose blocking edges are already resolved. Prefer a wide frontier of independent slices after the tracer bullet rather than a false serial chain.

Use expand/contract only when a broad refactor genuinely requires a compatibility window; otherwise change the direct path once. Do not invent adapters or migration stages for hypothetical consumers.

Handoff

Return:

text
TRACER BULLET
- smallest end-to-end proof

CURRENT FRONTIER
- independently executable slices

WAITING
- slice -> unresolved blocking edge

ACCEPTANCE
- exact project-defined evidence per slice

The main Agent owns slice implementation, integration, and user reporting. Native Subagents may perform only bounded, independent, read-only investigation, review, or verification under the Host and project contracts.

Frequently asked questions

What does the To Tickets AI skill do?

Load when an accepted specification must be decomposed into dependency-aware, project-owned implementation slices without creating a new tracker or publishing remote issues by default.

Why use To Tickets on TypingMind?

Because you install it once and use it with any model. To Tickets 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 To Tickets in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/JasonxzWen/harness-hub/tree/main/skills/to-tickets. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use To Tickets?

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 To Tickets?

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

Is the To Tickets AI skill free?

Yes. It is published on GitHub by JasonxzWen 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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