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Process Design

CommunityPopular
cbrock84
process-design

Designs, documents, and fixes operational processes — mapping the current state, finding where work actually stalls, redesigning the flow, and building controls that hold. Use this when the same failure keeps recurring, when a handoff between teams is unreliable, when onboarding a repeated task, when work takes far longer than the work itself, or when deciding whether to automate, standardize, or eliminate a process.

Overview

Publishercbrock84
Repositoryheadcount
Skill nameprocess-design
Stars
2K
Forks
316
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 cbrock84 on GitHub. Read the source before you install it.

Installation

Install the Process Design 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/cbrock84/headcount/tree/main/plugins/operations/skills/process-design
  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/cbrock84/headcount.git /tmp/headcount
mkdir -p .claude/skills
cp -r /tmp/headcount/plugins/operations/skills/process-design .claude/skills/process-design
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Process Design 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 Process Design 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 Process Design 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.

Process design

Map what happens, not what is supposed to happen

Follow a real instance end to end and record every step, handoff, wait, and rework loop. Talk to the people doing it, who will describe several steps that exist nowhere in the documentation and one or two that everyone has quietly stopped doing.

Then measure two things:

  • Touch time — how long the work actually takes.
  • Elapsed time — how long it takes to get through.

The gap between them is the process. In most broken processes, work is waiting more than ninety percent of the time, which means speeding up the work changes almost nothing. Attack the waits.

Find the real constraint

One step governs throughput. Improving anything else produces inventory in front of the constraint and no more output. Find it: the step with a queue in front of it.

Common constraints that are not the obvious step: a single approver, a specialist everything routes through, a system that only one team can access, and a batch cycle that makes everything wait for the weekly run.

Redesign

In this order, because the order is the leverage:

  1. Eliminate. Does this step need to exist? Many exist to catch a failure that a different fix would prevent entirely.
  2. Simplify. Fewer handoffs, fewer approvals, fewer systems. Every handoff is a place work stops.
  3. Standardize. One way of doing it, written down, with the decision rules explicit.
  4. Automate. Last. Automating an unexamined process makes a bad process faster and much harder to change.

Push approval to the lowest level that can be accountable, and set thresholds so routine cases do not queue behind exceptional ones.

Make it hold

A documented process that relies on discipline degrades within a quarter. Build the control into the system: required fields, blocking gates, defaults that are correct, automated handoffs.

Never fix a recurring failure with a reminder. If people are forgetting a step, the system permits forgetting it. Fix that.

Sources

references/sources.md in this skill lists the outside authorities that settle the questions here — what each one is authoritative for, and what you may do with it. Check them before answering on anything they cover, and cite what you used. Most are free to read and not free to reproduce; the use note on each is binding.

Never

  • Redesign from the documented process. Map what people actually do first.
  • Optimize a step that is not the constraint. Everything you speed up ahead of it just queues.
  • Add an approval to prevent a failure that happened once.
  • Hand over a process with no owner and no measure. It reverts within a quarter.

Return contract

Current state with elapsed and touch time, the constraint and its evidence, the redesign, what it costs to implement, and the measure that will show it worked.

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 Process Design AI skill do?

Designs, documents, and fixes operational processes — mapping the current state, finding where work actually stalls, redesigning the flow, and building controls that hold. Use this when the same failure keeps recurring, when a handoff between teams is unreliable, when onboarding a repeated task, when work takes far longer than the work itself, or when deciding whether to automate, standardize, or eliminate a process.

Why use Process Design on TypingMind?

Because you install it once and use it with any model. Process Design 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 Process Design in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/cbrock84/headcount/tree/main/plugins/operations/skills/process-design. 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 Process Design?

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 Process Design?

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

Is the Process Design AI skill free?

Yes. It is published on GitHub by cbrock84 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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