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Project Initializer

Community
DemonDamon
project-initializer

Initializer agent for the project-level harness — turn a spec or issue into feature_list.json, init.sh, verify.yaml, and an initial commit.

Overview

PublisherDemonDamon
RepositoryAgenticX
Skill nameproject-initializer
Stars
608
Forks
68
Bundled files
Instructions only
LicenseApache-2.0
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 DemonDamon on GitHub. Read the source before you install it.

Installation

Install the Project Initializer 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/DemonDamon/AgenticX/tree/main/agenticx/skills/bundled/project-initializer
  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/DemonDamon/AgenticX.git /tmp/AgenticX
mkdir -p .claude/skills
cp -r /tmp/AgenticX/agenticx/skills/bundled/project-initializer .claude/skills/project-initializer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Project Initializer 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 Initializer 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 Initializer 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.

Project Initializer

Use exactly once per project, when session_mode == feature_loop and .agx/project/ does not yet exist (system prompt will say "Initializer 阶段").

Inputs

  • A spec markdown, GitHub issue, or natural-language feature description.
  • The repo root (workspace_dir or first non-default taskspace).

Steps

  1. Read the spec end-to-end. Use file_read if the user pointed at a file, otherwise capture the user's message as the source of truth.
  2. Decompose into ≥ 5 deliverables. Each feature must:
    • have a stable id (kebab-case, ≤ 32 chars),
    • be independently mergeable (its commit can land on main without breaking others),
    • declare 1–3 concrete acceptance_criteria (observable behavior, not implementation steps),
    • declare depends_on only for hard ordering constraints,
    • get an integer priority (lower = sooner; reserve 100 for "later").
  3. Call project_init with the full feature list. The tool writes feature_list.json, seeds status.json with phase=initialize, and drops template init.sh + verify.yaml.
  4. Customize init.sh via bash_exec (or file_write with the diff path = .agx/project/init.sh):
    • install language runtime / package manager dependencies,
    • apply migrations / generate seed data,
    • must be idempotent (running twice on the same machine should not break anything).
  5. Customize verify.yaml with the project's real test/lint commands. Keep the bootstrap step that runs init.sh.
  6. Smoke-run with verify_run (no feature_id) to confirm the initial gate is green on a clean checkout.
  7. Commit the harness files via bash_exec:
    git add .agx/project init.sh verify.yaml
    git commit -m "chore(project): initialize harness with N features"
    Keep this commit small — only harness files, no business code.
  8. Append a closing progress note with progress_append (e.g. "[initialize-done] commit=<sha> features=N") and tell the user the project is ready for a Coding session.

Forbidden

  • Editing business code in this session.
  • Selecting or completing a feature — that is the Coding phase's job.
  • Hardcoding secrets in init.sh or verify.yaml.

Frequently asked questions

What does the Project Initializer AI skill do?

Initializer agent for the project-level harness — turn a spec or issue into feature_list.json, init.sh, verify.yaml, and an initial commit.

Why use Project Initializer on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/DemonDamon/AgenticX/tree/main/agenticx/skills/bundled/project-initializer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Project Initializer?

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 Initializer?

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

Is the Project Initializer AI skill free?

Yes. It is published on GitHub by DemonDamon 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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