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sneg55
new-project

Full project bootstrap - interviews the developer (name, description, stack, components), then scaffolds directory structure, CLAUDE.md, config files, hooks, skills, and first commit.

Overview

Publishersneg55
Repositoryagent-starter
Skill namenew-project
Stars
74
Forks
4
Bundled files
Instructions only
LicenseMIT
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 sneg55 on GitHub. Read the source before you install it.

Installation

Install the New Project 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/sneg55/agent-starter/tree/main/skills/new-project
  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/sneg55/agent-starter.git /tmp/agent-starter
mkdir -p .claude/skills
cp -r /tmp/agent-starter/skills/new-project .claude/skills/new-project
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable New Project 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 New Project 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 New Project 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.

New Project Bootstrap

Use when starting a new project from scratch. Scaffolds a complete AI-friendly project following the agent-starter patterns: feature-based directory structure, CLAUDE.md with memory taxonomy, config files, optional hooks and skills, first commit.

For existing projects, use /adopt-project instead.

Phase 0: Detect what's already installed

Hooks and skills install system-wide under ~/.claude/, so they're shared across every project. Detect them first and never ask about components that are already present. Run:

bash
# Hooks: install.sh stamps this file with the installed version
HOOKS_VER=$( [ -f ~/.claude/hooks/.agent-starter-version ] && cat ~/.claude/hooks/.agent-starter-version || echo "" )
HOOKS_N=$( ls ~/.claude/hooks/*.sh 2>/dev/null | wc -l | tr -d ' ' )

# Skills: the starter skills this bootstrap installs
for s in commit commit-push-pr simplify remember dream new-project adopt-project reflect; do
  [ -d ~/.claude/skills/$s ] && echo "skill:$s present" || echo "skill:$s missing"
done
echo "hooks: version ${HOOKS_VER:-none}, $HOOKS_N scripts"

Interpret the output:

  • Hooks installed if .agent-starter-version exists (or hook scripts are found). Record the stamped version.
  • Skills installed per directory listed as present.

Carry this into the interview and scaffold: only ask about, and only install, what's missing. If a stamped hooks version is present but older than the repo VERSION (checked in Phase 1 once you have the repo path), note that an update is available and offer to re-run install.sh (idempotent) - don't force it.

Phase 1: Interview

Ask these questions one at a time before taking any action:

  1. Project name - what is the name of the project?
  2. Description - one sentence describing what it does.
  3. Tech stack - language, framework, package manager (e.g. "TypeScript, Next.js, pnpm").
    • Tailwind design-system lint - ask this follow-up only when the stack is TypeScript/JavaScript with a UI framework (React, Next.js, Remix, Vite + React): "Does the project use Tailwind v4, and should I add @shadcn/lint (blocks raw palette colors, arbitrary values, inline styles, unknown classes, and restyling design-system components via className)? yes/no". Record the answer; it drives the optional block in Phase 2 step 3. Skip the question for non-UI stacks.
  4. Optional components - ask only about what Phase 0 reported as missing. If hooks and all skills are already installed, skip this question entirely - state what was detected ("Hooks v0.4.4 and all 8 skills already installed system-wide, skipping") and move on. Otherwise offer the missing set:
    • Hooks (auto-enforce file size limits, lint-on-save, silent-error and dangerous-command blocking, codebase health checks at ~/.claude/hooks/)
    • Skills (commit, commit-push-pr, simplify, remember, dream, new-project, adopt-project, reflect at ~/.claude/skills/)
    • Both
    • Neither
  5. Repo path - what is the local path to the agent-starter repo? (e.g. ~/code/agent-starter). Always required: the CLAUDE.md template, foundation templates, and lint configs are all copied from the repo. (Hooks and skills also install from here when selected and not already present.)

Do not proceed past this step until you have all answers.

Phase 2: Scaffold

Execute these steps in order.

1. Create directory structure

bash
mkdir -p <project-name>/src/features
mkdir -p <project-name>/src/services
mkdir -p <project-name>/src/utils
mkdir -p <project-name>/src/types
mkdir -p <project-name>/src/constants
mkdir -p <project-name>/src/schemas
mkdir -p <project-name>/src/entrypoints
mkdir -p <project-name>/src/migrations
mkdir -p <project-name>/tests
mkdir -p <project-name>/docs
mkdir -p <project-name>/scripts

Design principle: organize by feature, not by technical layer. Each feature gets its own directory under src/features/ with ALL related files (implementation, types, constants, validation, tests). Keep files under 200 lines each. Shared type definitions go in src/types/ to break import cycles. Named constants go in src/constants/ (no magic strings anywhere).

2. Generate CLAUDE.md

Copy the canonical template - do not inline or hand-write it, so it never drifts from templates/CLAUDE.md (which carries the Memory System, Git Safety, Implementation Notes, and Self-improvement loop sections):

bash
cp <repo-path>/templates/CLAUDE.md <project-name>/CLAUDE.md

Then fill in the ## Project-Specific Instructions section at the bottom:

**Project:** <project-name>
**Description:** <project-description>

3. Create config files

.gitignore at <project-name>/.gitignore:

node_modules/
dist/
.env
*.log
.DS_Store
.cache/
coverage/
CLAUDE.local.md

.env.example at <project-name>/.env.example:

# Required environment variables - copy to .env and fill in values

README.md at <project-name>/README.md:

markdown
# <project-name>

<project-description>

## Getting Started

<!-- Add setup instructions here -->

CLAUDE.local.md at <project-name>/CLAUDE.local.md (gitignored above - personal, machine-local instructions that never get committed):

markdown
# Personal Instructions (local only)

<!-- Your personal preferences for this project. Not committed. -->

.claude/rules/ - modular instruction files the agent loads alongside CLAUDE.md. Create the directory and the apply-on-touch pattern index, which is the same file /adopt-project writes (Tier 4):

bash
mkdir -p <project-name>/.claude/rules

Write <project-name>/.claude/rules/starter-patterns.md:

markdown
# Starter patterns - apply on touch

Apply these when already editing the relevant code. Never as a bulk refactor.

- Editing a file over 300 lines -> split per the file-size hook's suggestions
  (types / constants / validation / utils).
- Touching a `throw` / `raise` site -> route it through the error registry
  (`guides/error-id-registry.md`).
- Changing a fallible function's signature -> consider returning a Result
  (`guides/discriminated-union-results.md`).
- Touching an env read -> move it behind the env boundary
  (`guides/zod-at-the-boundary.md`).
- Adding a long-running operation -> thread cancellation through it
  (`guides/abort-signal-threading.md`).
- Adding a new tool -> use the directory-per-tool layout
  (`guides/tool-authoring-pattern.md`).

Optionally also create topic stubs (testing.md, git-workflow.md, code-style.md, security.md) per templates/NEW_PROJECT_PROMPT.md - offer these but don't force them.

Lint configs - if the stack is TypeScript/JavaScript:

bash
cp <repo-path>/templates/biome.jsonc <project-name>/biome.jsonc
cp <repo-path>/templates/eslint.config.mjs <project-name>/eslint.config.mjs
cd <project-name> && npm i -D @biomejs/biome eslint typescript-eslint eslint-plugin-import \
  eslint-plugin-sonarjs eslint-plugin-security eslint-plugin-eslint-comments

Tailwind design-system lint (opt-in, only if the Phase 1 follow-up was yes):

bash
cp <repo-path>/templates/eslint.shadcn.mjs <project-name>/eslint.shadcn.mjs
cd <project-name> && npm i -D @shadcn/lint

Then wire the fragment into eslint.config.mjs: add import shadcnRules from './eslint.shadcn.mjs' next to the other imports and ...shadcnRules, as the last entry of the tseslint.config(...) call. Set settings.shadcn.ui in the fragment to the project's component import prefix (@/components/ui is the shadcn default) and the **/components/ui/** override to the directory that owns the components. @shadcn/lint needs ESLint 9.30+ and Tailwind v4; it finds the theme without a components.json, so shadcn/ui itself is not required.

If the stack is Python:

bash
cp <repo-path>/templates/ruff.toml <project-name>/ruff.toml
cp <repo-path>/templates/pyrightconfig.json <project-name>/pyrightconfig.json
cd <project-name> && uv add --dev ruff pyright   # or: python -m pip install ruff pyright

See guides/lint-rules-for-ai.md for what the rules catch. Skip for other stacks.

4. Copy foundation templates (TypeScript/JavaScript or Python)

Reference: guides/error-id-registry.md, guides/zod-at-the-boundary.md, guides/large-codebase-best-practices.md

These are the "create from day one" foundation files (see templates/NEW_PROJECT_PROMPT.md -> Foundation Files): a centralized env boundary, a numbered error registry, and an output truncator. Copy them for the matching stack and adapt import paths to the layout.

If the stack is TypeScript/JavaScript:

bash
cp <repo-path>/templates/env.ts <project-name>/src/utils/env.ts
cp <repo-path>/templates/errorIds.ts <project-name>/src/constants/errorIds.ts
cp <repo-path>/templates/truncate-for-context.ts <project-name>/src/utils/truncate-for-context.ts

If the stack is Python:

bash
cp <repo-path>/templates/env.py <project-name>/src/utils/env.py
cp <repo-path>/templates/error_ids.py <project-name>/src/constants/error_ids.py
cp <repo-path>/templates/truncate_for_context.py <project-name>/src/utils/truncate_for_context.py

Skip for other stacks (Rust, Go, etc.) - point the developer at the guides above to build equivalents.

5. Install hooks (if selected and not already installed)

Skip if Phase 0 detected hooks already installed and the stamped version matches the repo VERSION - they're system-wide, so they already cover this project. If installed but stale, offer to update by re-running the installer (it's idempotent). Otherwise run it now.

The installer copies the hooks (and lib/) to ~/.claude/hooks/, stamps the installed version, and merges the hook wiring into ~/.claude/settings.json with jq. Existing entries are preserved and re-running never duplicates anything - do not hand-edit the JSON:

bash
bash <repo-path>/install.sh

Hook behavior (wired by default):

  • check-file-size.sh - runs after every Write/Edit. Blocks (exit 2) files over 300 lines; warns over 200 lines. Skips .md, .json, .yaml. Override per project with .harness/file-size.conf.
  • lint-on-edit.sh - Biome + ESLint on save for JS/TS; ruff check + format for Python.
  • check-silent-errors.sh - blocks writes that introduce swallowed exceptions.
  • block-dangerous-commands.sh - blocks force-push, git reset --hard, recursive rm on //~, before they run.
  • rm-scope-guard.py - blocks any rm whose targets escape the working directory, and allows the rest. Complements the hook above, which only catches the catastrophic roots.
  • check-codebase-health.sh - runs at session start. Reports files over 500 lines that need splitting. Silent when healthy.
  • worktree-session-prompt.sh - at session start, says whether this is the shared main checkout or a linked worktree, and has Claude ask before editing the shared one. Two agents in one checkout is how a branch flip silently reverts a peer's edits.
  • worktree-exit-offer.sh - on Stop, offers to leave the worktree once it is clean and fully pushed, which is the one moment exiting loses nothing.
  • suggest-loop-improvements.sh - when you run /loop, proposes 2-3 tighter drop-in rewrites (explicit success criteria, stop condition, scope, verification) and lets you pick one via an interactive menu. Scoped to /loop only (client-side commands like /goal run before Claude's turn, so they can't be gated).

Requires jq and python3.

Optional: --with-read-guard also wires track-reads.sh + require-read-before-edit.sh. Recent Claude Code versions enforce read-before-edit natively, so only add it for older versions. --with-comment-guard blocks edits that add comments or docstrings; --with-em-dash-guard blocks em dashes in .md/.mdx/.markdown. Both are house style rather than correctness rules, so ask before wiring them.

6. Install skills (if selected and not already installed)

Copy only the skills Phase 0 reported as missing. Skills are system-wide, so any already present already cover this project - leave them as-is rather than overwriting (a blind cp -r would clobber local edits). The guard below copies each skill only when its directory is absent:

bash
mkdir -p ~/.claude/skills
for s in commit commit-push-pr simplify remember dream new-project adopt-project reflect; do
  [ -d ~/.claude/skills/$s ] || cp -r <repo-path>/skills/$s ~/.claude/skills/
done

To deliberately refresh an already-installed skill (e.g. after pulling a newer repo), copy that one explicitly: cp -r <repo-path>/skills/<name> ~/.claude/skills/.

Installed skills:

  • /commit - single well-crafted git commit with "why not what" message
  • /commit-push-pr - full workflow: branch, commit, push, create/update PR
  • /simplify - 3 parallel agents review your diff for reuse, quality, efficiency
  • /remember - review auto-memory and promote to CLAUDE.md or CLAUDE.local.md
  • /dream - memory consolidation: merge, prune, re-index memory files
  • /new-project - this skill (bootstrap a new project)
  • /adopt-project - apply these patterns to an existing codebase
  • /reflect - read ledger, cluster recurring mistakes, propose improvements

7. Initialize the self-improvement ledger

bash
mkdir -p <project-name>/.harness/reflections
touch <project-name>/.harness/reflections/.gitkeep
echo '.harness/ledger.jsonl' >> <project-name>/.gitignore

The enforcement hooks use hooks/lib/log-event.sh to append structured events to .harness/ledger.jsonl as the agent works. Run /reflect periodically: it reads the ledger via harness-ledger-stats.sh, clusters recurring mistakes, and proposes rule / threshold / ADR changes for your approval. See templates/CLAUDE.md → "Self-improvement loop".

8. Initialize git and first commit

bash
cd <project-name>
git init
git add .
git commit -m "$(cat <<'EOF'
Initial project scaffold

Bootstrapped using agent-starter patterns.
EOF
)"

Phase 3: Verify

Confirm each item before reporting done:

  • Project directory with feature-based structure (src/features, src/services, src/utils, src/types, src/constants, src/schemas, src/entrypoints, src/migrations, tests/, docs/, scripts/)
  • CLAUDE.md copied from templates/CLAUDE.md (not inlined) with project name and description filled in
  • .gitignore, .env.example, README.md, and CLAUDE.local.md present (CLAUDE.local.md gitignored)
  • .claude/rules/starter-patterns.md written
  • Lint configs copied + deps installed - biome.jsonc + eslint.config.mjs (TS/JS) or ruff.toml + pyrightconfig.json (Python); skipped for other stacks
  • eslint.shadcn.mjs copied, @shadcn/lint installed, and the fragment spread into eslint.config.mjs - only if the Tailwind follow-up was yes
  • Foundation templates copied - env boundary + error registry + truncator for the stack (TS or Python); skipped for other stacks
  • Hooks present in ~/.claude/hooks/ and configured in settings.json (installed now if selected, or already detected in Phase 0)
  • Skills present in ~/.claude/skills/ (missing ones installed if selected; already-present ones left as-is)
  • .harness/reflections/ created and .harness/ledger.jsonl added to .gitignore
  • reflect skill present at ~/.claude/skills/reflect
  • Initial git commit created

Allowed Tools

Read, Write, Edit, Bash, Glob

Frequently asked questions

What does the New Project AI skill do?

Full project bootstrap - interviews the developer (name, description, stack, components), then scaffolds directory structure, CLAUDE.md, config files, hooks, skills, and first commit.

Why use New Project on TypingMind?

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

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sneg55/agent-starter/tree/main/skills/new-project. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use New Project?

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 New Project?

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

Is the New Project AI skill free?

Yes. It is published on GitHub by sneg55 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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