Product Update Logger
Varnan-Tech/opendirectory
Tell the skill what your product shipped. An agent skill from Varnan-Tech/opendirectory.
Judge, summarize, create podcast learning notes, and file AI-related information through the user's Personal Alignment Layer.
Install AI Fomo
$ npx skills add vincelele/ai-fomo-skills --skill ai-fomo -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vincelele/ai-fomo-skills ai-fomo --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/vincelele/ai-fomo-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/ai-fomo .claude/skills/ai-fomo && rm -rf skills-srcUse ~/.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/
Install the "ai-fomo" agent skill from https://github.com/vincelele/ai-fomo-skills/tree/main/ai-fomo into .claude/skills/ai-fomo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-fomo", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/vincelele/ai-fomo-skills/tree/main/ai-fomoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add vincelele/ai-fomo-skills --skill ai-fomo -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vincelele/ai-fomo-skills ai-fomo --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vincelele/ai-fomo-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/ai-fomo .agents/skills/ai-fomo && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-fomo" agent skill from https://github.com/vincelele/ai-fomo-skills/tree/main/ai-fomo into .agents/skills/ai-fomo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-fomo", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vincelele/ai-fomo-skills --skill ai-fomo -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vincelele/ai-fomo-skills ai-fomo --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vincelele/ai-fomo-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/ai-fomo .cursor/skills/ai-fomo && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-fomo" agent skill from https://github.com/vincelele/ai-fomo-skills/tree/main/ai-fomo into .cursor/skills/ai-fomo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-fomo", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/vincelele/ai-fomo-skills.git --path ai-fomo--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add vincelele/ai-fomo-skills --skill ai-fomo -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vincelele/ai-fomo-skills ai-fomo --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vincelele/ai-fomo-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/ai-fomo .gemini/skills/ai-fomo && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-fomo" agent skill from https://github.com/vincelele/ai-fomo-skills/tree/main/ai-fomo into .gemini/skills/ai-fomo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-fomo", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install vincelele/ai-fomo-skills ai-fomoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add vincelele/ai-fomo-skills --skill ai-fomo -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vincelele/ai-fomo-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/ai-fomo .github/skills/ai-fomo && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-fomo" agent skill from https://github.com/vincelele/ai-fomo-skills/tree/main/ai-fomo into .github/skills/ai-fomo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-fomo", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vincelele/ai-fomo-skills --skill ai-fomo -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vincelele/ai-fomo-skills ai-fomo --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vincelele/ai-fomo-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/ai-fomo .opencode/skills/ai-fomo && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-fomo" agent skill from https://github.com/vincelele/ai-fomo-skills/tree/main/ai-fomo into .opencode/skills/ai-fomo/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-fomo", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ai-fomo- GitHub stars
- 248
- Token cost
- ~1.2k tokens
- SKILL.md length
- 568 words
- Files
- 7 (incl. references, assets)
- Skills in repo
- 3
- Repo updated
- First seen
- Licence
- MIT
At a glance
Judge, summarize, create podcast learning notes, and file AI-related information through the user's Personal Alignment Layer.
- Works in 3 steps: self-context/index.md if it exists → relevant self-context/preferences/*… → wiki/index.md when existing knowledge…
- The user sends AI articles
- SKILL.md covers Purpose, Use When, Do Not Use When and Required Context, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
AI Fomo is an agent skill from vincelele/ai-fomo-skills. Judge, summarize, create podcast learning notes, and file AI-related information through the user's Personal Alignment Layer. Use when the user sends AI articles, changelogs, docs, X threads, GitHub repos, videos, podcasts, podcast transcripts, raw notes, asks whether AI content is worth reading or listening to, asks for a learning note that can replace listening to a podcast, asks what podcast segments are worth hearing, asks whether content should be kept or should go into wiki, should become a signal, or…
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 9 other files, including reference files and assets (for example `agents/openai.yaml`, `assets/podcast-learning-note.template.md` and `references/alignment-rubric.md`).
It sits in Media & Creative, covering Podcasting, Changelog and release notes and Social media posts. It works with GitHub. 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 sends AI articles
- Podcast transcripts
- Asks whether AI content is worth reading
- Asks for a learning note that can replace listening to a podcast
Example prompts
- “/ai-fomo”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- self-context/index.md if it exists
- relevant self-context/preferences/* files when needed
- wiki/index.md when existing knowledge may already cover the topic
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 loads about 1.2k tokens when it runs, and up to ~4.9k if it reads all its reference files. Until then it costs about 139 tokens; SKILL.md has 568 words of instructions outside code blocks.
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). 568 words, ~1,167 tokens.
Download SKILL.mdSave it as
.claude/skills/ai-fomo/SKILL.md (or your agent's skills folder). This skill also uses 6 other files; get the full folder from GitHub.- name
- ai-fomo
- description
- Judge, summarize, create podcast learning notes, and file AI-related information through the user's Personal Alignment Layer. Use when the user sends AI articles, changelogs, docs, X threads, GitHub repos, videos, podcasts, podcast transcripts, raw notes, asks whether AI content is worth reading or listening to, asks for a learning note that can replace listening to a podcast, asks what podcast segments are worth hearing, asks whether content should be kept or should go into wiki, should become a signal, or should update long-term preferences.
AI FOMO
Purpose
Turn AI information overload into personally aligned judgment. This skill should produce a decision, not just a summary.
Use When
Use this skill when the user:
- sends AI-related content or a link
- points to
raw/inbox/ - asks whether something is worth reading
- asks whether a podcast or video is worth listening to
- asks for a summary plus recommendation
- asks for a podcast learning note that can replace listening to the full episode
- asks whether something should go into wiki
- asks for signals or a digest from retained material
- gives feedback on filtering or summarization behavior
Do Not Use When
Do not use this skill for:
- initializing a new workspace; use
ai-fomo-init - connecting source APIs or feed collectors; use
ai-fomo-sources - non-AI content with no relation to the user's alignment layer
- generic summarization without value judgment
Required Context
Before judging material, read:
self-context/index.mdif it exists- relevant
self-context/preferences/*files when needed wiki/index.mdwhen existing knowledge may already cover the topic
If the Personal Alignment Layer is missing or too vague, ask for minimal clarification or recommend running ai-fomo-init.
Core Workflow
- Read the source content directly or read the provided raw snapshot.
- Read the Personal Alignment Layer.
- Use
references/alignment-rubric.mdfor value judgment. - Reply in chat with a complete but concise summary.
- Make a three-tier recommendation:
- write now: high quality, high relevance, durable judgment
- ask first: useful but uncertain
- skip: weak, generic, hype-heavy, or low relevance
- If writing files, use
references/filing-rules.md. - Always write or update
wiki/sourcesbefore checkingthemesordossiers. - Prefer updating existing
themesordossiersover creating new pages. - Only write
signalsordigestswhen the user asks or when the workflow explicitly calls for it. - Record feedback as long-term preference only when the user indicates it should persist.
Show full SKILL.md (266 more words)Show less
Podcast Learning Note Mode
Use this mode when the source is a podcast episode, video transcript, or long-form interview and the user wants to learn without listening end to end.
Before writing the note, read references/podcast-learning-note.md. Use assets/podcast-learning-note.template.md as the scaffold when creating a Markdown file.
Default output target:
digests/podcasts/YYYY-MM-DD-short-slug.md
The note must answer three decisions:
- What is this episode about, and is it worth continuing?
- If continuing, what does the full episode cover in a readable learning structure?
- If listening to the original, which segments are worth hearing and which can be skipped?
Keep podcast learning notes separate from durable source summaries. Use digests/podcasts/ for human-readable learning notes and wiki/sources/ for retained long-term knowledge.
Default Chat Output
For each source, include:
- what it is about
- main structure or claims
- durable mechanisms, constraints, or tradeoffs
- why it matters or does not matter for this user
- recommendation: write now, ask first, or skip
- proposed filing target when relevant
Judgment Rules
- Novelty is not importance.
- Hype is not signal.
- Long content is not automatically worth filing.
- Long audio is not automatically worth listening to end to end.
- Good filing candidates change product, system, market, evaluation, or workflow judgment.
- If a source mainly reinforces an existing theme, update that theme rather than creating a new one.
- Do not create a new theme for a one-off concept.
- For podcasts, distinguish "worth reading the learning note", "worth selected listening", and "worth full listening".
References
- Use
references/alignment-rubric.mdfor judging value. - Use
references/filing-rules.mdbefore writing workspace files. - Use
references/podcast-learning-note.mdbefore writing podcast learning notes. - Use
references/examples.mdfor calibration or testing.
© 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 6 other files (references, assets) in ai-fomo of vincelele/ai-fomo-skills.
- SKILL.md
- agents/openai.yaml
- assets/podcast-learning-note.template.md
- references/alignment-rubric.md
- references/examples.md
- references/filing-rules.md
- references/podcast-learning-note.md
Open the folder on GitHubat commit 2401c6e
Compare with similar skills
AI Fomo 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Fomo this skillvincelele/ai-fomo-skills | 248 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Product Update LoggerVarnan-Tech/opendirectory | 674 | — | ~3.9k | Automated safety check: Pass | MIT | |
| ContentclawLeoYeAI/openclaw-master-skills | 2.2k | — | ~6.8k | Automated safety check: Notes | MIT | |
| Pull Request Explainer Videoheygen-com/hyperframes | 60k | 2 repos | ~8.4k | Automated safety check: Notes | Apache-2.0 | |
| PR To Videococo-research/coco | 513 | — | ~7.8k | Automated safety check: Notes | Custom licence | |
| ContentclawLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.4k | Automated safety check: Notes | MIT |
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More from vincelele/ai-fomo-skills
AI Fomo Sources
vincelele/ai-fomo-skills
Configure AI information sources and collect traceable raw snapshots for an AI FOMO workspace.
AI Fomo Init
vincelele/ai-fomo-skills
Initialize a personal AI FOMO workspace and Personal Alignment Layer.
Related
Works with
Categories
Questions about AI Fomo
What does AI Fomo do?
Judge, summarize, create podcast learning notes, and file AI-related information through the user's Personal Alignment Layer. AI Fomo is an agent skill from vincelele/ai-fomo-skills. Judge, summarize, create podcast learning notes, and file AI-related information through the user's Personal Alignment Layer.
When should I use AI Fomo?
AI Fomo fits situations like: the user sends AI articles; podcast transcripts; asks whether AI content is worth reading; asks for a learning note that can replace listening to a podcast.
How do I install AI Fomo in Claude Code?
Run `npx skills add vincelele/ai-fomo-skills --skill ai-fomo -a claude-code`. Or copy the skill folder (ai-fomo in vincelele/ai-fomo-skills) into .claude/skills/ai-fomo in your project. Claude Code loads it when a task matches its description.
How do I install AI Fomo in Codex?
Run `npx skills add vincelele/ai-fomo-skills --skill ai-fomo -a codex`. Or copy the skill folder (ai-fomo in vincelele/ai-fomo-skills) into .agents/skills/ai-fomo in your project. Codex loads it when a task matches its description.
Can I use AI Fomo 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 -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, .gemini/skills/ai-fomo, .github/skills/ai-fomo and .opencode/skills/ai-fomo in your project.
What does AI Fomo need to run?
SKILL.md names no scripts, command-line tools or credentials: AI Fomo is instructions for the agent only.
Does AI Fomo 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 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 use?
AI Fomo 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 use?
About 1.2k tokens (SKILL.md is roughly 4.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.8k tokens, read only when the agent opens those files.
What are the alternatives to AI Fomo?
Skills that share tags, products or a category with AI Fomo: Product Update Logger (Varnan-Tech/opendirectory, 674 stars), Contentclaw (LeoYeAI/openclaw-master-skills, 2.2k stars), Pull Request Explainer Video (heygen-com/hyperframes, 60k stars) and PR To Video (coco-research/coco, 513 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Fomo?
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.