Init Project Light

SkillDev tools

Bootstrap a lightweight project with minimal guidance, context, and repository structure. Use when a small non-research project needs durable AI collaboration without the full research or course scaffold. Not for formal research projects; use $init-project-research.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Init Project Light skill

What this skill tells your AI

The instructions your AI receives, as published by flonat/flonat-research in skills/init-project-light/SKILL.md and read by ahel’s review.

Lightweight project bootstrapper for small projects that do not need a full research-project scaffold.

When to Use

  • Small document collections (proposals, applications, meeting notes)
  • One-off or short-lived projects
  • Projects without a code pipeline or Overleaf link
  • When the user says "set up something light", "quick init", "organise this folder"
  • Any project that does not warrant the installation's full research-project initializer

When NOT to Use — Escalate to a full research-project initializer

  • Research papers targeting a journal or conference
  • Projects with code, data, or computational pipelines
  • Anything that needs Overleaf, git, or a vault atlas entry

Phase 1: Scan

Read everything already in the directory before asking questions.

  1. List all files and folders (excluding .claude/, .DS_Store)
  2. Read text files (.md, .tex, .bib, .txt) to understand content — respect file size (skip files > 500 lines, note them)
  3. Build a mental model: what is this project, what's the main output, who's involved?

Goal: Minimise interview questions by inferring answers from existing files.


Phase 2: Interview (2-3 questions max)

Use the available structured-question mechanism. Only ask what you couldn't infer from Phase 1.

Pick from these (skip any you can already answer):

  1. What is this project? — one sentence (e.g., "PhD research proposal for [University]")
  2. What's the main output? — document, application, collection of notes, etc.
  3. Anyone else involved? — names and roles if relevant

If Phase 1 gave you enough, confirm your understanding instead of asking:

"From the files, this looks like [X]. The main output is [Y]. Correct?"


Phase 3: Create CLAUDE.md

Follow the lean-guidance-files rule. Include only:

  1. Project overview — 2-3 sentences from interview/scan
  2. People — if collaborators/supervisors exist
  3. Directory structure — compact tree of what exists
  4. Conventions — only if detectable (e.g., LaTeX compilation, bibliography style)
  5. Key context — anything a future session needs to know immediately

Do NOT include:

  • Detailed literature notes or reference lists
  • Action items or timelines (those go to vault)
  • Anything that duplicates global rules

Phase 4: Organise (suggest, don't force)

Based on what's in the directory, suggest lightweight organisation. Present options and wait for approval.

Standard suggestions

FolderWhen to suggest
to-sort/Multiple unsorted documents exist
docs/Reference materials, guidelines, or background reading present
archive/Old versions or abandoned drafts detected

Rules

  • Never create more than 2-3 folders — this is a light project
  • Never move files without explicit approval
  • If the existing structure already makes sense, say so and skip this phase
  • If there's a .claude/settings.local.json, leave it. If not, create one with standard permissions.

Standard permissions (.claude/settings.local.json)

{
  "permissions": {
    "allow": [
      "Bash(latexmk *)",
      "Bash(ls:*)",
      "Bash(mkdir:*)",
      "Bash(tree:*)",
      "Edit",
      "Glob",
      "Grep",
      "Read",
      "Write"
    ],
    "deny": []
  }
}

Only create if missing. Never overwrite existing permissions.


Phase 5: Confirmation

Short report:

Set up lightweight project: <name>

Created:
  - CLAUDE.md
  - [any folders created]
  - [.claude/settings.local.json if created]

Skipped (use an installed full research-project initializer if needed later):
  - Git, Overleaf, vault atlas, code scaffold

Cross-References

SkillRelationship
Installed full research-project initializerEscalate to this for full research projects
update-project-docRun later to refresh CLAUDE.md if the project grows

Signals

GitHub stars
133
Forks
24
Last commit
Aug 2026
Advanced
Catalog kind
skill
Gateway key
init-project-light
Source
github.com/flonat/flonat-research