vincelele/ai-fomo-skills/ai-fomo-sources
Claude Code and agent skill by vincelele/ai-fomo-skills
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Checking that the SKILL.md file is still in the repository.
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.
Install
npx vskill@latest install vincelele/ai-fomo-skills/ai-fomo-sourcesSKILL.md
AI FOMO Sources
Purpose
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 When
Use this skill when the user asks to:
- connect a source
- configure source registry
- collect new source material
- create raw snapshots
- add Feishu, Notion, GitHub, X, RSS, YouTube, podcast, podcast comments, transcript, changelog, or web sources
Do Not Use When
Do not use this skill to:
- judge whether a source is high value
- write
wiki/sources - update
themesordossiers - generate signals or digests
Use ai-fomo for judgment after raw material exists.
Core Workflow
- Confirm the target AI FOMO workspace.
- Identify the source type and required access method.
- If the source is supported by
scripts/import_source.py, directly import it. - Use
references/source-connectors.mdwhen connector-specific guidance is needed. - Prefer preview or dry-run before bulk writes.
- Store credentials outside committed files.
- Write source material only to
raw/inbox/by default. - Preserve source metadata: URL, title, author, source type, published time, collected time, and dedupe key when known.
- Report what was collected and what still needs authentication or manual review.
Direct Import Runtime
Use scripts/import_source.py for supported sources:
Use --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.
Fallback Strategy
Direct import is the default. If a source is unsupported:
- create a manual raw snapshot from user-provided content, export, notes, or URL metadata
- add a registry entry only if the user explicitly wants to track the source long term
- hand off to
ai-fomofor judgment
Do not turn fallback setup into a long onboarding survey.
Raw Snapshot Requirements
Each raw snapshot should be traceable and minimally structured:
- source name and source id
- source type
- original URL or stable reference
- title
- author or publisher when known
- published date when known
- collected timestamp
- content or excerpt permitted by the source boundary
- metadata needed for later judgment
Credential Rules
- Use environment variables or ignored local files for credentials.
- Never commit tokens, cookies, or access keys.
- Create
.env.examplewith empty variable names only. - If a credential was committed, tell the user it must be rotated before public release.
Handoff
After collection, tell the user that ai-fomo should be used to judge whether the raw material deserves knowledge work.
References
- Use
references/source-connectors.mdfor source-type recipes. - Use
references/xiaoyuzhou-account.mdfor Xiaoyuzhou bridge install, login, subscribed inbox import, comments, and transcription.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingai-fomo-sources/SKILL.md
Popularity
- Repository stars
- 247
- Repository forks
- 1
- 7-day trend score
- 28
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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