Ticket Up logo

Ticket Up

Community
doodledood
ticket-up

Author self-sufficient Tickets in the project's store from a finished Manifest, a direct work request, an open question, or follow-up findings from another Ticket. A Manifest becomes one coherent Shaped Ticket by default; split it by Deliverable only when the caller explicitly wants delegation or parallel pickup. Use when creating Tickets, ticketing up a plan, recording follow-up work, or handing work to a teammate, agent, or later session.

Overview

Publisherdoodledood
Repositorymanifest-dev
Skill nameticket-up
Stars
77
Forks
10
Bundled files
6
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.

  • 6 bundled files

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

  • Open source

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

Installation

Install the Ticket Up 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/doodledood/manifest-dev/tree/main/claude-plugins/manifest-dev/skills/ticket-up
  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/doodledood/manifest-dev.git /tmp/manifest-dev
mkdir -p .claude/skills
cp -r /tmp/manifest-dev/claude-plugins/manifest-dev/skills/ticket-up .claude/skills/ticket-up
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ticket Up 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 Ticket Up 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 Ticket Up 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.

ticket-up

ticket-up is the single Ticket-authoring boundary. It shapes prose, applies the convention, deduplicates, and renders the result through the project's configured venue.

Read references/TICKET_CONVENTION.md before emitting. It defines the unit, kinds, anatomy, lifecycle, and priority every venue must preserve.

Resolve the input and Ticket units

Accept any of these inputs:

  • a finished Manifest;
  • a direct work request that should enter the store;
  • one or more questions that need separate management;
  • findings discovered while running a source Ticket, with that source identified.

Without explicit input, use a recent Manifest only when the conversation already establishes it as the intended source; otherwise ask what should become a Ticket.

One Ticket represents one independently schedulable lifecycle. Bundle work that shares one outcome and would be assigned, prioritized, and closed together. Split only where separate ownership, priority, blocking, or closure has real value. Do not turn every Deliverable, question, or minor finding into a Ticket.

Whether to split is one question; where the cut falls is another, and the second is answered the same way whatever the input was. Every Shaped Ticket a split produces is a slice someone can exercise end-to-end on its own — run, read, or otherwise judged in the situation it is for, not merely inspected as present. A Ticket cut along an implementation layer ("the schema", "the endpoints", "the screen") has nothing to run, so its definition of done falls back to checking that something exists and whoever picks it up cannot tell whether the work helped. Re-cut work that arrives framed in layers instead of passing the layers through; renaming a layer does not re-cut it, and a requested layer cut settles scope, not where the cuts fall, so keeping its layers is never a user's call: its scope is kept and its layers re-cut. A Question Ticket is outside this — an investigation has no slice to run, and its done is the answer recorded.

Manifest input defaults to one Shaped Ticket for the whole Manifest. Its Deliverables remain an internal execution and verification structure. Split into one Ticket per Deliverable only when the caller explicitly asks for delegation or parallel pickup. Existing Deliverable boundaries are the smallest allowed split: if one is too large, or is a layer rather than something exercisable end to end, amend the Manifest rather than shipping a unit that cannot be judged end to end.

Question input gets a separate Question Ticket only when the question needs its own lifecycle. A question that the current work can answer, or that merely records an execution choice, stays inside the containing Ticket. Related questions managed together become one Question Ticket. An explicit request to track or delegate a question establishes that separate lifecycle.

Follow-up input remains distinct from the source obligation. Current-scope work stays on the source Ticket; a blocker to its definition of done escalates it. Search the effort's open set first, fold the finding into an existing Ticket when it already covers the work, and group related new findings before authoring. Every emitted follow-up links back to its source and carries the same effort membership unless the finding genuinely belongs elsewhere.

Translate knowledge, not machinery

Preserve the assignment and authority with the useful product intent: whose progress matters, in what circumstances, the alternatives and trade-offs, and what is observed versus assumed. Do not reduce an inquiry's answer or a Manifest to a list of tasks and checks.

A Ticket is a contract with a stranger who may not have manifest-dev. Rewrite the source into the convention's anatomy rather than excerpting it. Could a competent stranger holding only this Ticket understand why the work exists, know its bounds, avoid its traps, and judge it done? Manifest-dev vocabulary in an emitted Ticket fails that test.

For Manifest input, translate the full coherent outcome into one Ticket. Problem and Goal become Why; Appetite and Out of bounds become Scope; all applicable Global Invariants become plain Rules that must hold; risks and assumptions become Watch out for; the Initial Approach remains optional advice; every Deliverable and gate contributes to one plain-prose Definition of done. Gate kinds, codes, and evaluator instructions stay behind.

In explicit split mode, apply the same translation to each Deliverable and copy every applicable Global Invariant into every Ticket. A Deliverable that is a layer rather than something exercisable end-to-end is amended in the Manifest first, per the cut rule above. Do not emit the Manifest's ceiling invariant as a rule; its substance already lives in each Ticket's Scope.

Auto grant

Apply the convention's Auto criterion: every decision needed for this assignment's completion is settled or delegated, and the grantor chooses to trust unattended execution. A retained acceptance keeps Auto off even when direction and implementation decisions are delegated.

Two grantors exist. A person grants: directly authoring here, or explicitly reviewing and authorizing Auto for the Ticket here. orchestrate --autonomous grants too: it invokes this skill for a Ticket an agent wrote — a debt Ticket it authored, or a follow-up a run wrote — and grants only where the criterion above holds. Record the grantor with the grant, as the venue renders it, so a person can tell an orchestrate grant from their own and withdraw it.

A follow-up gets Auto only from one of those grants at this boundary. Without one it carries no Auto, whatever its source carries. The run that found the work never grants it, and merely invoking run-ticket manually on a source is not a grant for follow-ups discovered inside that run. Shaped never implies Auto.

Type, dependencies and deferral

Give each Ticket one type from the store vocabulary when one fits, otherwise none. For one-Ticket Manifest mode, use the chief nature of the complete work. In explicit split mode, type each Deliverable separately. Type never grants execution authority.

Encode Depends on: only when one Ticket's outcome is required to do or judge another. Preferred order is not a dependency. A follow-up that is merely related links to its source without blocking on it; add an edge only when the structural need exists.

When the work is to wait until something holds in the world rather than until another Ticket closes — a number crossing a line, a release shipping, a date passing — write the convention's Revisit when line: the condition and where it is read, as the venue maps it. Name a source a picker can read, such as a dashboard, a file, a release page or a date; a condition no picker can read keeps the Ticket in front of the person on every pick. A deferral is never a Depends on: entry, and a preferred order is never a deferral.

Choose and render the venue

Read references/STORE_CONFIG.md and resolve the venue, reusing existing choices. Then read its venue reference and render the Tickets through that mapping. Configuration alone creates no work; this invocation's authoring assignment supplies the scope.

Report

Present what was authored in a short table: ID, title, kind, type, Auto and its grantor, dependencies, and any Revisit when condition, plus where each Ticket landed. In Manifest mode, state whether the default coherent unit or explicit Deliverable split was used. In follow-up mode, include source links and which findings were grouped or deduplicated.

Gotchas

  • A gate may name evaluator machinery a stranger cannot use. Translate its substance into observable done prose.
  • A list of small questions is not automatically a list of Question Tickets. The lifecycle test comes first.

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 Ticket Up AI skill do?

Author self-sufficient Tickets in the project's store from a finished Manifest, a direct work request, an open question, or follow-up findings from another Ticket. A Manifest becomes one coherent Shaped Ticket by default; split it by Deliverable only when the caller explicitly wants delegation or parallel pickup. Use when creating Tickets, ticketing up a plan, recording follow-up work, or handing work to a teammate, agent, or later session.

Why use Ticket Up on TypingMind?

Because you install it once and use it with any model. Ticket Up 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 Ticket Up in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/doodledood/manifest-dev/tree/main/claude-plugins/manifest-dev/skills/ticket-up. 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 Ticket Up?

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 Ticket Up?

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

Is the Ticket Up AI skill free?

Yes. It is published on GitHub by doodledood 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.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇