Agent skill

Init Project

by flonat in flonat/flonat-research

Bootstrap a new research project. An agent skill from flonat/flonat-research.

MITAuto-check passedDevelopment

Install Init Project

skills CLI
$ npx skills add flonat/flonat-research --skill init-project -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install flonat/flonat-research init-project --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/flonat/flonat-research.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/init-project .claude/skills/init-project && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
init-project
GitHub stars
145
Token cost
~929 tokens
SKILL.md length
236 words
Files
1
Skills in repo
83
Repo updated
First seen
Licence
MIT

At a glance

Bootstrap a new research project. An agent skill from flonat/flonat-research.

  • Works in 5 steps: Interview → Scaffold → Populate Files → …
  • Tasks that involve Project scaffolding
  • SKILL.md covers Protocol and Output
  • Calls git

What it does

Init Project is an agent skill from flonat/flonat-research. Bootstrap a new research project. Interview for details, scaffold directory structure, create Overleaf symlink, initialise git, and create project context files.

Its SKILL.md is about 930 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Project scaffolding, LaTeX and Git workflow. It works with Git. The repository describes itself as: Shareable Claude Code + Codex infrastructure for PhD researchers — skills, agents, hooks, and rules for academic workflows. The licence is MIT.

When your agent uses it

  • Tasks that involve Project scaffolding
  • Tasks that involve LaTeX
  • Tasks that involve Git workflow

Example prompts

  • “/init-project”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Bash(mkdir*), Bash(ln*), Bash(git*), Bash(ls*), Read, Write, Edit, Glob, Grep, AskUserQuestion

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Interview
  2. Scaffold
  3. Populate Files
  4. Git & Symlinks
  5. Context Update

What it can do on your machine

Read from SKILL.md and the folder at commit da27600. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash(mkdir*)
    • Bash(ln*)
    • Bash(git*)
    • Bash(ls*)
    • Read
    • Write
    • Edit
    • Glob
    • Grep
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Init Project loads about 929 tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 236 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~44
When it runs · the whole SKILL.md, loaded when a task matches
~929

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from flonat/flonat-research at commit da27600, republished under its MIT licence (© flonat). 236 words, ~929 tokens.

Download SKILL.mdSave it as .claude/skills/init-project/SKILL.md (or your agent's skills folder).
name
init-project
description
Bootstrap a new research project. Interview for details, scaffold directory structure, create Overleaf symlink, initialise git, and create project context files.
allowed-tools
Bash(mkdir*), Bash(ln*), Bash(git*), Bash(ls*), Read, Write, Edit, Glob, Grep, AskUserQuestion
argument-hint
(no arguments — starts an interview)

Init Project — Research Project Scaffolder

Interactive project setup: answer questions, get a ready-to-use research project directory.

Protocol

Phase 1: Interview

Ask the user these questions using AskUserQuestion (adapt based on what's already known):

  1. Project name — short name for the directory (e.g., nudge-experiment)
  2. Paper title — working title for the paper
  3. Research question — one sentence
  4. Target journal/venue — where you plan to submit
  5. Co-authors — names and affiliations (if any)
  6. Parent directory — where to create the project (default: ~/Research/)
  7. Overleaf path — path to Overleaf-synced directory for symlink (optional)
  8. Methodology — experimental, observational, theoretical, simulation, mixed
Phase 2: Scaffold

Create the directory structure:

<project-name>/
├── CLAUDE.md               # Project-specific Claude instructions
├── README.md               # Project overview
├── MEMORY.md               # Knowledge base (seeded with template)
├── paper/                  # → Overleaf symlink (or empty dir)
├── code/
│   ├── python/             # Python scripts
│   └── R/                  # R scripts
├── data/
│   ├── raw/                # Original data (never modified)
│   └── processed/          # Cleaned/transformed data
├── results/                # Analysis outputs
├── figures/                # Generated figures
├── docs/                   # Project documentation
├── correspondence/         # Referee reports, cover letters
│   └── referee2/           # Referee 2 agent reports
├── log/                    # Session logs
│   └── plans/              # Saved plans
└── .gitignore
Phase 3: Populate Files

CLAUDE.md — project-specific instructions:

  • Paper title and research question
  • Co-authors and target venue
  • Methodology and key conventions
  • Pointer to project context files

README.md — human-readable overview:

  • Project title and description
  • Directory structure explanation
  • How to compile the paper
  • Co-author information

MEMORY.md — seeded with research project template:

  • Notation Registry (empty)
  • Estimand Registry (empty)
  • Key Decisions (empty)
  • Citations (empty)
  • Anti-Patterns (empty)
  • Code Pitfalls (empty)

.gitignore — standard research project ignores:

  • Build artifacts (out/, *.aux, *.log)
  • Data files (data/raw/*.csv, data/raw/*.xlsx)
  • Python/R artifacts (__pycache__/, .Rhistory)
  • OS files (.DS_Store)
  1. Overleaf symlink — if a path was provided:
    bash
    ln -s /path/to/overleaf/dir paper
  2. Git init — initialise the repository:
    bash
    git init
    git add .
    git commit -m "Initial project scaffold"
Phase 5: Context Update

Update the central context library:

  1. Add the project to .context/projects/_index.md
  2. Create .context/projects/papers/<project-name>.md with metadata

Output

Print a summary of what was created:

Project created: ~/Research/<project-name>/
  Directories: 12
  Files: 4 (CLAUDE.md, README.md, MEMORY.md, .gitignore)
  Overleaf: linked / not configured
  Git: initialised with initial commit

Next steps:
  1. Start writing in paper/ (or link Overleaf)
  2. Add code to code/python/ or code/R/
  3. Run session-log when you finish working

© flonat, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/init-project of flonat/flonat-research.

Open the folder on GitHubat commit da27600

Compare with similar skills

Init Project next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Init Project compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Init Project this skillflonat/flonat-research145—~929Automated safety check: PassMIT
degit Project ScaffoldingRich-Harris/degit7.9k—~534Automated safety check: PassMIT
Light Project StructureLight0305/Light-skills640—~3kAutomated safety check: NotesMIT
Project Initializationpavel-molyanov/molyanov-ai-dev296—~1.1kAutomated safety check: NotesMIT
Setup Gitprobabl-ai/skills135—~1.4kAutomated safety check: NotesBSD-3-Clause
Flowfile Failure ArchaeologyEdwardvaneechoud/Flowfile370—~7.5kAutomated safety check: PassMIT

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Works with

Questions about Init Project

What does Init Project do?

Bootstrap a new research project. An agent skill from flonat/flonat-research. Init Project is an agent skill from flonat/flonat-research. Bootstrap a new research project.

When should I use Init Project?

Init Project fits situations like: tasks that involve Project scaffolding; tasks that involve LaTeX; tasks that involve Git workflow.

How do I install Init Project in Claude Code?

Run `npx skills add flonat/flonat-research --skill init-project -a claude-code`. Or copy the skill folder (skills/init-project in flonat/flonat-research) into .claude/skills/init-project in your project. Claude Code loads it when a task matches its description.

How do I install Init Project in Codex?

Run `npx skills add flonat/flonat-research --skill init-project -a codex`. Or copy the skill folder (skills/init-project in flonat/flonat-research) into .agents/skills/init-project in your project. Codex loads it when a task matches its description.

Can I use Init Project in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add flonat/flonat-research --skill init-project -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/init-project, .gemini/skills/init-project, .github/skills/init-project and .opencode/skills/init-project in your project.

What does Init Project need to run?

Going by SKILL.md and its folder, Init Project needs the command-line tools its instructions call (git). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Bash(mkdir*), Bash(ln*), Bash(git*), Bash(ls*), Read, Write, Edit, Glob, Grep, AskUserQuestion.

Does Init Project access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Init Project safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Init Project use?

Init Project is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Init Project use?

About 929 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Init Project?

Skills that share tags, products or a category with Init Project: degit Project Scaffolding (Rich-Harris/degit, 7.9k stars), Light Project Structure (Light0305/Light-skills, 640 stars), Project Initialization (pavel-molyanov/molyanov-ai-dev, 296 stars) and Setup Git (probabl-ai/skills, 135 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Init Project?

flonat (a GitHub user) maintains it in flonat/flonat-research, which has 145 GitHub stars. The repository holds 83 skills in this directory. The repository was last updated on September 29, 2026.

Source: flonat/flonat-research on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.