Ck:Bootstrap

Community

manhvann

ck:bootstrap

Bootstrap new projects with research, tech stack, design, planning, and implementation. Modes: full (interactive), auto (default), fast (skip research), parallel (multi-agent).

Overview

Publisher	manhvann
Repository	`codexkit`
Skill name	`ck:bootstrap`
Stars	88
Forks	81
Bundled files	5
License	MIT
Links	Skill source Repository

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.
5 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by manhvann on GitHub. Read the source before you install it.

Installation

Install the Ck:Bootstrap 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/manhvann/codexkit/tree/main/.agents/skills/bootstrap
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/manhvann/codexkit.git /tmp/codexkit
mkdir -p .claude/skills
cp -r /tmp/codexkit/.agents/skills/bootstrap .claude/skills/manhvann-ck-bootstrap

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

Use it in TypingMind

Enable Ck:Bootstrap 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 Ck:Bootstrap 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 Ck:Bootstrap 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.

Bootstrap - New Project Scaffolding

End-to-end project bootstrapping from idea to running code.

Principles: YAGNI, KISS, DRY | Token efficiency | Concise reports

Usage


$bootstrap <user-requirements>

Flags (optional, default --auto):

Flag	Mode	Thinking	User Gates	Planning Skill	Cook Skill
`--full`	Full interactive	Ultrathink	Every phase	`--hard`	(interactive)
`--auto`	Automatic	Ultrathink	Design only	`--auto`	`--auto`
`--fast`	Quick	Think hard	None	`--fast`	`--auto`
`--parallel`	Multi-agent	Ultrathink	Design only	`--parallel`	`--parallel`

Example:


$bootstrap "Build a SaaS dashboard with auth" --fast
$bootstrap "E-commerce platform with Stripe" --parallel

Workflow Overview


[Git Init] → [Research?] → [Tech Stack?] → [Design?] → [Planning] → [Implementation] → [Test] → [Review] → [Docs] → [Onboard] → [Final]

Each mode loads a specific workflow reference + shared phases.

Mode Detection

If no flag provided, default to --auto.

Load the appropriate workflow reference:

--full: Load references/workflow-full.md
--auto: Load references/workflow-auto.md
--fast: Load references/workflow-fast.md
--parallel: Load references/workflow-parallel.md

All modes share: Load references/shared-phases.md for implementation through final report.

Step 0: Git Init (ALL modes)

Check if Git initialized. If not:

--full: Ask user if they want to init → git_manager subagent (main branch)
Others: Auto-init via git_manager subagent (main branch)

Skill Triggers (MANDATORY)

After early phases (research, tech stack, design), trigger downstream skills:

Planning Phase

Activate ck:plan skill with mode-appropriate flag:

--full → ck:plan --hard <requirements> (thorough research + validation)
--auto → ck:plan --auto <requirements> (auto-detect complexity)
--fast → ck:plan --fast <requirements> (skip research)
--parallel → ck:plan --parallel <requirements> (file ownership + dependency graph)

Planning skill outputs a plan path. Pass this to cook.

Implementation Phase

Activate ck:cook skill with the plan path and mode-appropriate flag:

--full → ck:cook <plan-path> (interactive review gates)
--auto → ck:cook --auto <plan-path> (skip review gates)
--fast → ck:cook --auto <plan-path> (skip review gates)
--parallel → ck:cook --parallel <plan-path> (multi-agent execution)

Role

Elite software engineering expert specializing in system architecture and technical decisions. Brutally honest about feasibility and trade-offs.

Critical Rules

Activate relevant skills from catalog during the process
Keep all research reports ≤150 lines
All docs go under the configured Docs: path from injected context.
Plans go under the configured Plan dir: path from injected context.
Use planning + cook skills for implementation; prefer installed agents when the runtime exposes delegation.
Sacrifice grammar for concision in reports
List unresolved questions at end of reports

References

references/workflow-full.md - Full interactive workflow
references/workflow-auto.md - Auto workflow (default)
references/workflow-fast.md - Fast workflow
references/workflow-parallel.md - Parallel workflow
references/shared-phases.md - Common phases (implementation → final report)

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 Ck:Bootstrap AI skill do?

Bootstrap new projects with research, tech stack, design, planning, and implementation. Modes: full (interactive), auto (default), fast (skip research), parallel (multi-agent).

Why use Ck:Bootstrap on TypingMind?

Because you install it once and use it with any model. Ck:Bootstrap 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 Ck:Bootstrap in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/manhvann/codexkit/tree/main/.agents/skills/bootstrap. 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 Ck:Bootstrap?

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 Ck:Bootstrap?

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

Is the Ck:Bootstrap AI skill free?

Yes. It is published on GitHub by manhvann 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

Bootstrap - New Project Scaffolding

Usage

Workflow Overview

Mode Detection

Step 0: Git Init (ALL modes)

Skill Triggers (MANDATORY)

Planning Phase

Implementation Phase

Role

Critical Rules

References

Bundled files

Frequently asked questions

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