Twg Responsibility Routing logo

Twg Responsibility Routing

Organization
zenobi-us
twg-responsibility-routing

Use with root `twg` to route owners, subject-matter experts, maintainers, reviewers, approvers, decision authorities, Heads of Engineering, or escalation paths for a topic, area, ask, project, service, or component.

Overview

Publisherzenobi-us
Repositorydotfiles
Skill nametwg-responsibility-routing
Stars
67
Forks
6
Bundled files
1
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.

  • 1 bundled files

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

  • Open source

    Published by zenobi-us on GitHub. Read the source before you install it.

Installation

Install the Twg Responsibility Routing 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/zenobi-us/dotfiles.git /tmp/dotfiles
mkdir -p .claude/skills
cp -r /tmp/dotfiles/files/devtools/agent/bundles/developer/skills/atlassian/twg-responsibility-routing .claude/skills/twg-responsibility-routing
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Twg Responsibility Routing 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 Twg Responsibility Routing 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 Twg Responsibility Routing 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.

twg-responsibility-routing

Use the root twg skill. Use this workflow to answer “who should I involve, why them, and in what role?” Do not assume a broad topic is an exact product.

CLI launcher fallback

Run twg <command>. On shell command not found, use $HOME/.local/bin/twg (macOS/Linux) / $env:LOCALAPPDATA\Programs\twg\bin\twg.exe (PowerShell), then tell user to add that directory to PATH. Do not treat auth or command errors as PATH failures.

Classify The Role

Keep these roles distinct:

  • Declared owner: formally accountable for an entity or area.
  • Operational owner or maintainer: responsible for current delivery or operation.
  • Expert: has source-backed depth in one workstream.
  • Reviewer or consulted party: evaluates or advises but may not decide.
  • Approver or decision authority: can authorize the specific ask or decision.
  • Escalation or Head of Engineering contact: leads the responsible engineering organization or can route an unresolved ask.
  • Informed stakeholder: affected by the decision but not responsible for it.

Resolve Scope Before People

For a fuzzy topic or area, compare one bounded twg search "<topic>" --app confluence pass with one bounded twg work search "<topic>" pass. Group same-named results into distinct initiative, platform, domain, feature, and team clusters. Hydrate 2-5 central charters, roadmaps, services, projects, or active workstreams before ranking people. If the sources disagree, show the alternative scopes or ask the user.

For a stable project, goal, component, service, work item, page, or repository, use that reference directly.

Find Responsibility And Authority

  • Use twg responsibility get <reference> for declared owners, teams, maintainers, approvers, reviewers, or escalation roles.
  • Use twg responsibility infer <reference> only when declared responsibility is missing or the user asks for evidence-based candidates. Preserve confidence, reason codes, evidence window, and declared-versus-observed status.
  • Infer primarily from scoped search, declared roles, and hydrated work evidence. Org data is optional; do not block or weaken the workflow merely because it is unavailable.
  • When org data is connected and a candidate leader or manager is known, prefer the narrowest useful tree: org-tree for hierarchy, work-tree for cross-surface breadth, workitem-tree for Jira work, or pr-tree for PR authorship/review. Tree counts help validate reach and organizational scope; they do not by themselves prove expertise, ownership, or approval authority.
  • For an approval ask, inspect the artifact that defines the decision: project or goal ownership, Jira workflow/approver fields, charter, decision record, or accountable team. State separately who can recommend, who must be consulted, and who can approve. Never promote an active contributor into an approver.
  • For escalation, give the nearest verified owner first. Add the engineering leader only when the owner is missing, blocked, cross-team, or the ask needs organizational authority.

Use twg-context-discovery only when relationship or dependency expansion is needed after the scope and people roles are established. It is not the default route for a responsibility question.

Evidence And Output

Strong evidence includes explicit ownership, accountable roles, workflow authority, charter/roadmap leadership, service ownership, sustained decisions, or repeated central contributions. Profile text, org proximity, one document, raw activity, or a self-authored update is weak evidence by itself.

For topic/SME maps, return at most five workstreams and one primary expert per workstream unless the user asks for more. Name an overall owner only with cross-workstream evidence. For approval or escalation asks, return the proposed contact, role, scope, evidence, confidence, why they are appropriate, and a suggested question or reach-out. State when authority is unconfirmed.

Stop when another search would not change scope, role, authority, escalation, confidence, or the recommended contact.

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 Twg Responsibility Routing AI skill do?

Use with root `twg` to route owners, subject-matter experts, maintainers, reviewers, approvers, decision authorities, Heads of Engineering, or escalation paths for a topic, area, ask, project, service, or component.

Why use Twg Responsibility Routing on TypingMind?

Because you install it once and use it with any model. Twg Responsibility Routing 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 Twg Responsibility Routing in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/zenobi-us/dotfiles/tree/master/files/devtools/agent/bundles/developer/skills/atlassian/twg-responsibility-routing. 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 Twg Responsibility Routing?

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 Twg Responsibility Routing?

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

Is the Twg Responsibility Routing AI skill free?

Yes. It is published on GitHub by zenobi-us 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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