Roadmap Task Flow

Community

shiquda

roadmap-task-flow

Captures, enriches, tags, and prioritizes roadmap tasks. Use when the user wants to note work quickly, add missing task details, organize a backlog, or reprioritize an existing list of tasks.

Overview

Publisher	shiquda
Repository	`roadmap-skill`
Skill name	`roadmap-task-flow`
Stars	82
Forks	9
Bundled files	2
License	MIT
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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by shiquda on GitHub. Read the source before you install it.

Installation

Install the Roadmap Task Flow 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.
https://github.com/shiquda/roadmap-skill/tree/main/skills/roadmap-task-flow
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/shiquda/roadmap-skill.git /tmp/roadmap-skill
mkdir -p .claude/skills
cp -r /tmp/roadmap-skill/skills/roadmap-task-flow .claude/skills/roadmap-task-flow

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

Use it in TypingMind

Enable Roadmap Task Flow 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 Roadmap Task Flow 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 Roadmap Task Flow 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.

Roadmap Task Flow

Use this skill for backlog-oriented task work.

Scope

This skill handles:

quick task capture
task detail enrichment
task listing and backlog review
task tagging and batch reprioritization

Keep the unit of work as tasks in a list or backlog.

This skill does not handle planning graphs or focused task-subset workspaces. Route those requests to roadmap-planning-views.

Recommended workflow

Identify the target project from the conversation or current context.
Prefer curated prompt workflows when they match the request.
Read project or task resources when more context is needed before changing state.
Fall back to direct task and tag tools for precise updates.
Keep task status, priority, and tags aligned with the real plan after making changes.

Prompt-first defaults

Use quick-capture for fast idea-to-task capture.
Use add-task-details when a task needs richer description, acceptance criteria, or execution detail.
Use auto-prioritize when the user wants the backlog reordered.
Use suggest-tasks when the user asks what to do next.

References

Workflow boundaries: references/workflow-boundaries.md
MCP mapping: references/mcp-mapping.md

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 Roadmap Task Flow AI skill do?

Captures, enriches, tags, and prioritizes roadmap tasks. Use when the user wants to note work quickly, add missing task details, organize a backlog, or reprioritize an existing list of tasks.

Why use Roadmap Task Flow on TypingMind?

Because you install it once and use it with any model. Roadmap Task Flow 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 Roadmap Task Flow in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/shiquda/roadmap-skill/tree/main/skills/roadmap-task-flow. 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 Roadmap Task Flow?

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 Roadmap Task Flow?

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

Is the Roadmap Task Flow AI skill free?

Yes. It is published on GitHub by shiquda 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Roadmap Task Flow

Scope

Recommended workflow

Prompt-first defaults

References

Bundled files

Frequently asked questions

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