Project Plan

OrganizationPopular

hashgraph-online

project-plan

Turn a product goal or feature request into a clear Agiflow project plan with small, testable tasks in Planning status. Use when starting a project, decomposing a feature, clarifying requirements, or converting an idea into an actionable backlog.

Overview

Publisher	hashgraph-online
Repository	`awesome-codex-plugins`
Skill name	`project-plan`
Stars	1.3K
Forks	360
Bundled files	Instructions only
License	Apache-2.0
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 hashgraph-online on GitHub. Read the source before you install it.

Installation

Install the Project Plan 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/hashgraph-online/awesome-codex-plugins/tree/main/plugins/AgiFlow/ai-plugin/skills/project-plan
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/AgiFlow/ai-plugin/skills/project-plan

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

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/hashgraph-online/awesome-codex-plugins.git /tmp/awesome-codex-plugins
mkdir -p .claude/skills
cp -r /tmp/awesome-codex-plugins/plugins/AgiFlow/ai-plugin/skills/project-plan .claude/skills/project-plan

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

Use it in TypingMind

Enable Project Plan 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 Project Plan 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 Project Plan 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.

Agiflow Project Plan

Create a focused near-term plan. Plan tasks first and leave work-unit creation to backlog grooming.

Workflow

Call get_current_scope and resolve the target project with list_projects when needed.
Call get_project_detail, list_project_statuses, and list_tasks to understand goals, configured statuses, and existing work.
Ask only the questions needed to resolve the intended outcome, users, scope, constraints, and definition of done.
Check for duplicate or overlapping tasks before proposing new ones.
Decompose the outcome into small vertical slices that can be completed and verified independently.
For each proposed task, include:
- Clear title
- Outcome-focused description
- At least two testable acceptance criteria
- Explicit in-scope and out-of-scope boundaries
- Priority and useful categorization tags
- Dependencies or sequencing notes when relevant
Present the complete task plan and request approval before writing.
After approval, use batch_create_tasks for multiple tasks or create_task for one task. Use the exact Planning status name returned by list_project_statuses.
Call list_tasks to verify the created tasks and report any per-item errors.

Planning Rules

Do not create work units in this workflow.
Do not promote tasks to Todo.
Prefer the smallest plan that delivers useful progress.
Split tasks that combine unrelated outcomes or cannot be verified independently.
Preserve existing work and avoid duplicates.

Response

Report created task titles, priorities, dependencies, and any tasks that still need user decisions. Recommend refine-task for ambiguous tasks or backlog-grooming when the Planning backlog is ready.

Frequently asked questions

What does the Project Plan AI skill do?

Why use Project Plan on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/hashgraph-online/awesome-codex-plugins/tree/main/plugins/AgiFlow/ai-plugin/skills/project-plan. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Project Plan?

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 Project Plan?

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

Is the Project Plan AI skill free?

Yes. It is published on GitHub by hashgraph-online under the Apache-2.0 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

Agiflow Project Plan

Workflow

Planning Rules

Response

Frequently asked questions

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