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Agent skill

AI Fomo Init

by vincelele in vincelele/ai-fomo-skills

Initialize a personal AI FOMO workspace and Personal Alignment Layer.

MITAuto-check passed

Install AI Fomo Init

skills CLI
$ npx skills add vincelele/ai-fomo-skills --skill ai-fomo-init -a claude-code

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

GitHub CLI
$ gh skill install vincelele/ai-fomo-skills ai-fomo-init --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/vincelele/ai-fomo-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai-fomo-init .claude/skills/ai-fomo-init && 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
ai-fomo-init
GitHub stars
248
Token cost
~946 tokens
SKILL.md length
507 words
Files
51 (incl. assets)
Skills in repo
3
Repo updated
First seen
Licence
MIT

At a glance

Initialize a personal AI FOMO workspace and Personal Alignment Layer.

  • Works in 2 steps: Profile Brief → Targeted QA
  • The user wants to set up an anti-AI-FOMO system
  • SKILL.md covers Purpose, Use When, Do Not Use When and Core Workflow, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

AI Fomo Init is an agent skill from vincelele/ai-fomo-skills. Initialize a personal AI FOMO workspace and Personal Alignment Layer. Use when the user wants to set up an anti-AI-FOMO system, create a source intelligence workspace, configure long-term AI interests, define information value standards, or generate starter workspace templates for AI information judgment.

Its SKILL.md is about 950 tokens, which your agent loads only when the skill is triggered. The skill folder holds 59 other files, including assets (for example `agents/openai.yaml`, `assets/starter-workspace/AGENTS.md` and `assets/starter-workspace/config/README.md`).

The repository describes itself as: Personal superalignment skills for turning AI information overload into reusable knowledge, signals, and digests. The licence is MIT.

When your agent uses it

  • The user wants to set up an anti-AI-FOMO system
  • Create a source intelligence workspace
  • Configure long-term AI interests
  • Define information value standards

Example prompts

  • “/ai-fomo-init”

Workflow steps

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

  1. Profile Brief
  2. Targeted QA

What it can do on your machine

Read from SKILL.md and the folder at commit 2401c6e. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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

AI Fomo Init loads about 946 tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 507 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~946

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 vincelele/ai-fomo-skills at commit 2401c6e, republished under its MIT licence (© vincelele). 507 words, ~946 tokens.

Download SKILL.mdSave it as .claude/skills/ai-fomo-init/SKILL.md (or your agent's skills folder). This skill also uses 50 other files; get the full folder from GitHub.
name
ai-fomo-init
description
Initialize a personal AI FOMO workspace and Personal Alignment Layer. Use when the user wants to set up an anti-AI-FOMO system, create a source intelligence workspace, configure long-term AI interests, define information value standards, or generate starter workspace templates for AI information judgment.

AI FOMO Init

Purpose

Create a local Personal Alignment Layer and starter workspace. This skill aligns the agent before any source is summarized, collected, or filed.

Use When

Use this skill when the user asks to:

  • set up AI FOMO
  • initialize a personal AI alignment workspace
  • create an anti-FOMO knowledge workspace
  • configure what AI information is worth attention
  • generate starter folders and templates

Do Not Use When

Do not use this skill to:

  • summarize a specific source
  • collect from a source
  • write wiki/sources
  • generate a digest from existing material

Use ai-fomo-sources for source intake and ai-fomo for judgment and filing.

Core Workflow

  1. Choose or confirm the target workspace path.
  2. Ask the user for a profile brief: resume, bio, portfolio, LinkedIn-style summary, project history, or free-form notes.
  3. Extract a first-pass alignment map from the profile brief.
  4. Ask targeted QA to fill only the gaps that matter for AI information filtering.
  5. Copy the starter workspace from assets/starter-workspace/ if the user wants files created.
  6. Write confirmed alignment context into self-context/.
  7. Mark weak inferences as draft or pending confirmation.
  8. End with a short alignment contract summary for the user to review.

Two-Stage Alignment Intake

Stage 1: Profile Brief

Invite the user to provide one or more of:

  • resume or CV
  • personal bio
  • project list
  • portfolio notes
  • work history
  • current goals
  • examples of AI content they found valuable or useless

From this, extract only tentative alignment signals:

  • role and current work
  • long-term themes
  • recurring decisions
  • technical or product interests
  • likely source preferences
  • possible downrank patterns

Do not treat these as final until confirmed.

Show full SKILL.md (241 more words)Show less
Stage 2: Targeted QA

Ask a small number of focused questions to close gaps. Prefer 3 to 7 questions.

Question areas:

  • what decisions the user wants AI information to improve
  • which AI topics are high priority now
  • which topics are interesting but lower priority
  • what kinds of content waste the user's time
  • what sources they trust or distrust
  • how aggressive the agent should be about skipping material
  • what output style is most useful

Do not ask a long onboarding survey. The goal is enough alignment to start, then improve through feedback.

Personal Alignment Layer

The minimum layer should answer:

  • who the agent is serving
  • what the user is building, studying, or deciding
  • which AI themes are high priority
  • which content types should be downranked
  • what counts as high-signal information
  • how feedback should change future filtering

If the user provides too little information, ask concise follow-up questions instead of overfitting.

Output Contract

When initialization finishes, report:

  • workspace path
  • files created or updated
  • confirmed alignment facts from the profile brief and QA
  • draft assumptions still requiring user review
  • next recommended action: connect sources or process the first source

Safety Rules

  • Do not write credentials into the workspace.
  • Do not copy private examples into templates.
  • Do not infer sensitive personal context unless explicitly provided.
  • Do not assume the user's interests match the author's interests.
  • Do not treat one-time task goals as long-term preferences.
  • Do not turn resume details into public examples or shareable templates.

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

Files

SKILL.md and 50 other files (assets) in ai-fomo-init of vincelele/ai-fomo-skills.

  • SKILL.md
  • agents/openai.yaml
  • assets/starter-workspace/.gitignore
  • assets/starter-workspace/AGENTS.md
  • assets/starter-workspace/config/README.md
  • assets/starter-workspace/config/source-registry.yaml
  • assets/starter-workspace/digests/README.md
  • assets/starter-workspace/digests/daily/.gitkeep
  • assets/starter-workspace/digests/podcasts/.gitkeep
  • assets/starter-workspace/digests/templates/daily-digest.template.md
  • assets/starter-workspace/digests/templates/weekly-digest.template.md
  • assets/starter-workspace/digests/weekly/.gitkeep
  • … and 39 more

Open the folder on GitHubat commit 2401c6e

Compare with similar skills

AI Fomo Init 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.

AI Fomo Init compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
AI Fomo Init this skillvincelele/ai-fomo-skills248—~946Automated safety check: PassMIT
Initasgeirtj/system_prompts_leaks69k—~5.5kAutomated safety check: PassCC0-1.0
Initasgeirtj/system_prompts_leaks69k—~602Automated safety check: PassCC0-1.0
Initbrycewang-stanford/Auto-Empirical-Research-Skills4.6k—~596Automated safety check: NotesCustom licence
Ccs Alignthedotmack/claude-mem99k—~6.1kAutomated safety check: PassApache-2.0
Swarm Initruvnet/ruflo74k—~319Automated safety check: PassMIT

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  • AI Fomo Sources

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Questions about AI Fomo Init

What does AI Fomo Init do?

Initialize a personal AI FOMO workspace and Personal Alignment Layer. AI Fomo Init is an agent skill from vincelele/ai-fomo-skills. Initialize a personal AI FOMO workspace and Personal Alignment Layer.

When should I use AI Fomo Init?

AI Fomo Init fits situations like: the user wants to set up an anti-AI-FOMO system; create a source intelligence workspace; configure long-term AI interests; define information value standards.

How do I install AI Fomo Init in Claude Code?

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

How do I install AI Fomo Init in Codex?

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

Can I use AI Fomo Init 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 vincelele/ai-fomo-skills --skill ai-fomo-init -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-fomo-init, .gemini/skills/ai-fomo-init, .github/skills/ai-fomo-init and .opencode/skills/ai-fomo-init in your project.

What does AI Fomo Init need to run?

SKILL.md names no scripts, command-line tools or credentials: AI Fomo Init is instructions for the agent only.

Does AI Fomo Init access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is AI Fomo Init 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 AI Fomo Init use?

AI Fomo Init 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 AI Fomo Init use?

About 946 tokens (SKILL.md is roughly 3.8k 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 AI Fomo Init?

Skills that share tags, products or a category with AI Fomo Init: Init (asgeirtj/system_prompts_leaks, 69k stars), Init (asgeirtj/system_prompts_leaks, 69k stars), Init (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars) and Ccs Align (thedotmack/claude-mem, 99k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains AI Fomo Init?

vincelele (a GitHub user) maintains it in vincelele/ai-fomo-skills, which has 248 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on May 29, 2026.

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