Workflow

Community

brianlovin

workflow

Workflow orchestration for complex coding tasks. Use for ANY non-trivial task (3+ steps or architectural decisions) to enforce planning, subagent strategy, self-improvement, verification, elegance, and autonomous bug fixing. Triggers: multi-step implementation, bug fixes, refactoring, architectural changes, or any task requiring structured execution.

Overview

Publisher	brianlovin
Repository	`agent-config`
Skill name	`workflow`
Stars	370
Forks	31
Bundled files	Instructions only
Links	Skill source Repository Homepage

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 brianlovin on GitHub. Read the source before you install it.

Installation

Install the Workflow AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/brianlovin/agent-config.git /tmp/agent-config
mkdir -p .claude/skills
cp -r /tmp/agent-config/skills/workflow .claude/skills/workflow

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable 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 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 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.

Workflow Orchestration

1. Plan Mode Default

Enter plan mode for ANY non-trivial task (3+ steps or architectural decisions)
If something goes sideways, STOP and re-plan immediately — don't keep pushing
Use plan mode for verification steps, not just building
Write detailed specs upfront to reduce ambiguity

2. Subagent Strategy

Use subagents liberally to keep main context window clean
Offload research, exploration, and parallel analysis to subagents
For complex problems, throw more compute at it via subagents
One task per subagent for focused execution

3. Self-Improvement Loop

After ANY correction from the user: update tasks/lessons.md with the pattern
Write rules for yourself that prevent the same mistake
Ruthlessly iterate on these lessons until mistake rate drops
Review lessons at session start for relevant project

4. Verification Before Done

Never mark a task complete without proving it works
Diff behavior between main and your changes when relevant
Ask yourself: "Would a staff engineer approve this?"
Run tests, check logs, demonstrate correctness

5. Demand Elegance (Balanced)

For non-trivial changes: pause and ask "is there a more elegant way?"
If a fix feels hacky: "Knowing everything I know now, implement the elegant solution"
Skip this for simple, obvious fixes — don't over-engineer
Challenge your own work before presenting it

6. Autonomous Bug Fixing

When given a bug report: just fix it. Don't ask for hand-holding
Point at logs, errors, failing tests — then resolve them
Zero context switching required from the user
Go fix failing CI tests without being told how

Task Management

Plan First: Write plan to tasks/todo.md with checkable items
Verify Plan: Check in before starting implementation
Track Progress: Mark items complete as you go
Explain Changes: High-level summary at each step
Document Results: Add review section to tasks/todo.md
Capture Lessons: Update tasks/lessons.md after corrections

Core Principles

Simplicity First: Make every change as simple as possible. Impact minimal code.
No Laziness: Find root causes. No temporary fixes. Senior developer standards.
Minimal Impact: Changes should only touch what's necessary. Avoid introducing bugs.

Frequently asked questions

What does the Workflow AI skill do?

Why use Workflow on TypingMind?

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

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

Which AI models can use 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 Workflow?

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

Is the Workflow AI skill free?

It is published on GitHub by brianlovin. Check the repository for licensing terms. 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Workflow Orchestration

1. Plan Mode Default

2. Subagent Strategy

3. Self-Improvement Loop

4. Verification Before Done

5. Demand Elegance (Balanced)

6. Autonomous Bug Fixing

Task Management

Core Principles

Frequently asked questions

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