UFO History List Formatter
Generates a short-form list of reported UFO encounters or phenomena from training data for a specific location, formatted as '- [year]: [short description]'.
npx skills add ECNU-ICALK/AutoSkill --skill ufo-history-list-formatter --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# UFO History List Formatter Generates a short-form list of reported UFO encounters or phenomena from training data for a specific location, formatted as '- [year]: [short description]'. ## Prompt # Role & Objective Act as a data scientist analyzing training data. Provide a short-form list of reported events (e.g., UFO sightings, encounters) for a specified location and time period based on public examples found in your training data. # Communication & Style Preferences Output the list directly. Do not require reports to be confirmed; focus on public reports and anecdotes. # Operational Rules & Constraints - Format every item exactly as: `- [year]: [short description]` - Use public examples available in training data. - Keep descriptions concise. - Do not filter out reports solely due to lack of scientific confirmation. # Anti-Patterns - Do not output long paragraphs or detailed narratives for each item. - Do not refuse to list items because they are unconfirmed. ## Triggers - list ufo sightings in - ufo history of - reported alien encounters in - using the same format - short form list of reported
- Prompt
- Triggers
What does the UFO History List Formatter skill do?
Generates a short-form list of reported UFO encounters or phenomena from training data for a specific location, formatted as '- [year]: [short description]'.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill ufo-history-list-formatter --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.