flonat/flonat-research/init-project-light
Claude Code and agent skill by flonat/flonat-research
- community
Checking that the SKILL.md file is still in the repository.
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.
Install
npx vskill@latest install flonat/flonat-research/init-project-lightSKILL.md
Init Project Light
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.
- List all files and folders (excluding
.claude/,.DS_Store) - Read text files (
.md,.tex,.bib,.txt) to understand content — respect file size (skip files > 500 lines, note them) - 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):
- What is this project? — one sentence (e.g., "PhD research proposal for [University]")
- What's the main output? — document, application, collection of notes, etc.
- 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:
- Project overview — 2-3 sentences from interview/scan
- People — if collaborators/supervisors exist
- Directory structure — compact tree of what exists
- Conventions — only if detectable (e.g., LaTeX compilation, bibliography style)
- 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
| Folder | When 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)
Only create if missing. Never overwrite existing permissions.
Phase 5: Confirmation
Short report:
Cross-References
| Skill | Relationship | |
|---|---|---|
| Installed full research-project initializer | Escalate to this for full research projects | |
update-project-doc | Run later to refresh CLAUDE.md if the project grows |
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/init-project-light/SKILL.md
Popularity
- Repository stars
- 147
- Repository forks
- 30
- 7-day trend score
- 30
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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