Megaphone Release
Kuberwastaken/megaphone
Prepare, validate, publish, and verify Megaphone releases. An agent skill from Kuberwastaken/megaphone.
Configure AI information sources and collect traceable raw snapshots for an AI FOMO workspace.
$ npx skills add vincelele/ai-fomo-skills --skill ai-fomo-sources -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vincelele/ai-fomo-skills ai-fomo-sources --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-sources .claude/skills/ai-fomo-sources && 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-sources" agent skill from https://github.com/vincelele/ai-fomo-skills/tree/main/ai-fomo-sources into .claude/skills/ai-fomo-sources/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-fomo-sources", 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-fomo-sourcesType 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-sources -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vincelele/ai-fomo-skills ai-fomo-sources --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-sources .agents/skills/ai-fomo-sources && 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-sources" agent skill from https://github.com/vincelele/ai-fomo-skills/tree/main/ai-fomo-sources into .agents/skills/ai-fomo-sources/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-fomo-sources", 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-sources -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vincelele/ai-fomo-skills ai-fomo-sources --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-sources .cursor/skills/ai-fomo-sources && 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-sources" agent skill from https://github.com/vincelele/ai-fomo-skills/tree/main/ai-fomo-sources into .cursor/skills/ai-fomo-sources/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-fomo-sources", 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-sources--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-sources -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vincelele/ai-fomo-skills ai-fomo-sources --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-sources .gemini/skills/ai-fomo-sources && 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-sources" agent skill from https://github.com/vincelele/ai-fomo-skills/tree/main/ai-fomo-sources into .gemini/skills/ai-fomo-sources/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-fomo-sources", 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-fomo-sourcesInstalls 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-sources -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-sources .github/skills/ai-fomo-sources && 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-sources" agent skill from https://github.com/vincelele/ai-fomo-skills/tree/main/ai-fomo-sources into .github/skills/ai-fomo-sources/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-fomo-sources", 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-sources -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-sources --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-sources .opencode/skills/ai-fomo-sources && 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-sources" agent skill from https://github.com/vincelele/ai-fomo-skills/tree/main/ai-fomo-sources into .opencode/skills/ai-fomo-sources/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-fomo-sources", 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.
ai-fomo-sourcesConfigure AI information sources and collect traceable raw snapshots for an AI FOMO workspace.
AI Fomo Sources is an agent skill from vincelele/ai-fomo-skills. Configure AI information sources and collect traceable raw snapshots for an AI FOMO workspace. Use when the user wants to add feeds, docs, X accounts, GitHub repos, YouTube videos, podcasts, podcast comments, audio transcripts, changelogs, RSS sources, or other source connectors. This skill handles source intake only and should not judge or file knowledge.
Its SKILL.md is about 1.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 12 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `assets/manual-raw-snapshot.template.md` and `assets/source-registry.example.yaml`).
It sits in Development, covering Podcasting and Changelog and release notes. It works with GitHub and YouTube. The repository describes itself as: Personal superalignment skills for turning AI information overload into reusable knowledge, signals, and digests. The licence is MIT.
9 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 2401c6e. It shows what the files ask for, not the result of running them.
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.
Ships 2 files in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
xiaoyuzhoufm.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
X_BEARER_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
AI Fomo Sources loads about 1.2k tokens when it runs, and up to ~4.3k if it reads all its reference files. Until then it costs about 94 tokens; SKILL.md has 428 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.
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); the scripts in this folder are not scanned.
The full file from vincelele/ai-fomo-skills at commit 2401c6e, republished under its MIT licence (© vincelele). 428 words, ~1,240 tokens.
.claude/skills/ai-fomo-sources/SKILL.md (or your agent's skills folder). This skill also uses 8 other files; get the full folder from GitHub.Connect AI-related information sources and write traceable raw snapshots into raw/. This skill handles intake only. It must not decide long-term value.
Use this skill when the user asks to:
Do not use this skill to:
wiki/sourcesthemes or dossiersUse ai-fomo for judgment after raw material exists.
scripts/import_source.py, directly import it.references/source-connectors.md when connector-specific guidance is needed.raw/inbox/ by default.Use scripts/import_source.py for supported sources:
python scripts/import_source.py --workspace /path/to/workspace official-page --url https://example.com/changelog
python scripts/import_source.py --workspace /path/to/workspace rss --url https://example.com/feed.xml
python scripts/import_source.py --workspace /path/to/workspace github-repo --repo owner/name
python scripts/import_source.py --workspace /path/to/workspace github-trending --language python --since daily --limit 10
python scripts/import_source.py --workspace /path/to/workspace xiaoyuzhou-episode --url https://www.xiaoyuzhoufm.com/episode/episode_id
python scripts/import_source.py --workspace /path/to/workspace x-user --handle OpenAIUse --dry-run first when importing a new source. x-user requires an X API bearer token in X_BEARER_TOKEN or a custom env var.
For Xiaoyuzhou bridge install/start, account login, subscribed inbox batch import, episode comments, and audio transcription, use scripts/xiaoyuzhou_account.py and read references/xiaoyuzhou-account.md.
python scripts/xiaoyuzhou_account.py --workspace /path/to/workspace install-bridge --dry-run
python scripts/xiaoyuzhou_account.py --workspace /path/to/workspace install-bridge --start
python scripts/xiaoyuzhou_account.py --workspace /path/to/workspace bridge-status
python scripts/xiaoyuzhou_account.py --workspace /path/to/workspace import-inbox --limit 30 --max-pages 3 --dry-run
python scripts/xiaoyuzhou_account.py --workspace /path/to/workspace import-comments --episode-id episode_id --include-replies --dry-run
python scripts/xiaoyuzhou_account.py --workspace /path/to/workspace transcribe-raw --raw-file /path/to/raw.md --dry-run
python scripts/xiaoyuzhou_account.py --workspace /path/to/workspace import-inbox --limit 10 --with-comments --with-transcripts --transcript-limit 3 --dry-runDirect import is the default. If a source is unsupported:
ai-fomo for judgmentDo not turn fallback setup into a long onboarding survey.
Each raw snapshot should be traceable and minimally structured:
.env.example with empty variable names only.After collection, tell the user that ai-fomo should be used to judge whether the raw material deserves knowledge work.
references/source-connectors.md for source-type recipes.references/xiaoyuzhou-account.md for Xiaoyuzhou bridge install, login, subscribed inbox import, comments, and transcription.© vincelele, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 8 other files (scripts, references, assets) in ai-fomo-sources of vincelele/ai-fomo-skills.
Open the folder on GitHubat commit 2401c6e
AI Fomo Sources 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 Sources this skillvincelele/ai-fomo-skills | 248 | — | ~1.2k | Automated safety check: Pass | MIT | |
| Megaphone ReleaseKuberwastaken/megaphone | 170 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Add Release HighlightsArcReel/ArcReel | 5.4k | — | ~194 | Automated safety check: Pass | AGPL-3.0 | |
| Cutting A ReleaseTriliumNext/Trilium | 38k | — | ~3.2k | Automated safety check: Pass | AGPL-3.0 | |
| Rea Changelog Updatemorluto/rea | 80k | — | ~1.9k | Automated safety check: Pass | MIT | |
| Mole CLI Release Flowtw93/Mole | 70k | — | ~2.6k | Automated safety check: Pass | GPL-3.0 |
Kuberwastaken/megaphone
Prepare, validate, publish, and verify Megaphone releases. An agent skill from Kuberwastaken/megaphone.
ArcReel/ArcReel
起草指定版本的版本亮点;确认后同步到 Changelog 与 GitHub Release,并推送 main. An agent skill from ArcReel/ArcReel.
TriliumNext/Trilium
A skill your agent uses when cutting, preparing, or debugging a Trilium release — bumping the monorepo version, tagging, or diagnosing a failed "Release" workflow run.
morluto/rea
Prepare or rewrite REA release changelogs and GitHub release notes from pinned Git history, with verified contributor thanks and Release Please synchronization.
tw93/Mole
Runbook for assessing and executing a Mole CLI release: distribution channels, pre-flight checks, capital-V tags, build artifacts and the handoff to curated release notes.
jamiepine/voicebox
Writes or refreshes the Unreleased section of CHANGELOG.md as a themed narrative built from the commits, PRs and diff since the last version tag.
vincelele/ai-fomo-skills
Judge, summarize, create podcast learning notes, and file AI-related information through the user's Personal Alignment Layer.
vincelele/ai-fomo-skills
Initialize a personal AI FOMO workspace and Personal Alignment Layer.
Categories
Configure AI information sources and collect traceable raw snapshots for an AI FOMO workspace. AI Fomo Sources is an agent skill from vincelele/ai-fomo-skills. Configure AI information sources and collect traceable raw snapshots for an AI FOMO workspace.
AI Fomo Sources fits situations like: the user wants to add feeds; podcast comments; audio transcripts; other source connectors.
Run `npx skills add vincelele/ai-fomo-skills --skill ai-fomo-sources -a claude-code`. Or copy the skill folder (ai-fomo-sources in vincelele/ai-fomo-skills) into .claude/skills/ai-fomo-sources in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vincelele/ai-fomo-skills --skill ai-fomo-sources -a codex`. Or copy the skill folder (ai-fomo-sources in vincelele/ai-fomo-skills) into .agents/skills/ai-fomo-sources in your project. Codex loads it when a task matches its description.
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-sources -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-sources, .gemini/skills/ai-fomo-sources, .github/skills/ai-fomo-sources and .opencode/skills/ai-fomo-sources in your project.
Going by SKILL.md and its folder, AI Fomo Sources needs Python for the scripts in its folder, the command-line tools its instructions call (python) and credentials named X_BEARER_TOKEN. Our summary lists: Python 3; A credential in X_BEARER_TOKEN.
SKILL.md names 1 domain. In commands or code: xiaoyuzhoufm.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
AI Fomo Sources is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.2k tokens (SKILL.md is roughly 5k 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 3.1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with AI Fomo Sources: Megaphone Release (Kuberwastaken/megaphone, 170 stars), Add Release Highlights (ArcReel/ArcReel, 5.4k stars), Cutting A Release (TriliumNext/Trilium, 38k stars) and Rea Changelog Update (morluto/rea, 80k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.