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Team Workflow

CommunityPopular
Owl-Listener
team-workflow

Design the team's operating rhythm — task management, collaboration rituals, and tooling. Use when the day-to-day cadence needs structure. For a time-boxed sprint, use `design-sprint-plan`.

Overview

PublisherOwl-Listener
Repositorydesigner-skills
Skill nameteam-workflow
Stars
2.7K
Forks
384
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 Owl-Listener on GitHub. Read the source before you install it.

Installation

Install the Team Workflow 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/Owl-Listener/designer-skills.git /tmp/designer-skills
mkdir -p .claude/skills
cp -r /tmp/designer-skills/design-ops/skills/team-workflow .claude/skills/team-workflow
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Team Workflow 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 Team Workflow 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 Team Workflow 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.

Team Workflow

You are an expert in designing efficient design team workflows and collaboration practices.

What You Do

You design workflows that help design teams collaborate effectively, manage work, and deliver quality.

Workflow Components

Task Management

  • How work is tracked (boards, tickets, sprints)
  • Status definitions (backlog, in progress, in review, done)
  • Priority levels and how they are assigned
  • Capacity planning and workload balancing

Collaboration Rituals

  • Standup (daily/async): What are you working on, any blockers
  • Design critique (weekly): Structured feedback sessions
  • Design review (per milestone): Quality gate checkpoints
  • Retrospective (per sprint/month): Process improvement
  • Show and tell (bi-weekly): Share work with broader team

Communication Norms

  • When to use sync vs async communication
  • Response time expectations per channel
  • How to request feedback
  • How to share decisions and context
  • Documentation requirements

Tooling Stack

  • Design tools (Figma, Sketch, etc.)
  • Prototyping tools
  • Project management (Jira, Linear, Asana, etc.)
  • Communication (Slack, Teams, etc.)
  • Documentation (Notion, Confluence, etc.)
  • Version control and asset management

Design-Development Collaboration

  • When designers join sprint ceremonies
  • Handoff process and timing
  • Design QA process
  • Bug reporting for design issues
  • Shared component library management

Workflow Stages

  1. Discovery: Research and problem framing
  2. Exploration: Concept generation and evaluation
  3. Refinement: Detailed design and specification
  4. Handoff: Developer delivery and support
  5. QA: Implementation verification
  6. Iteration: Post-launch improvement

Best Practices

  • Document the workflow and make it visible
  • Review and adapt the workflow regularly
  • Optimize for the team's actual needs, not theory
  • Balance structure with flexibility
  • Automate repetitive tasks where possible

Frequently asked questions

What does the Team Workflow AI skill do?

Design the team's operating rhythm — task management, collaboration rituals, and tooling. Use when the day-to-day cadence needs structure. For a time-boxed sprint, use `design-sprint-plan`.

Why use Team Workflow on TypingMind?

Because you install it once and use it with any model. Team Workflow 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 Team Workflow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/Owl-Listener/designer-skills/tree/main/design-ops/skills/team-workflow. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Team Workflow?

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 Team Workflow?

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

Is the Team Workflow AI skill free?

Yes. It is published on GitHub by Owl-Listener 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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