1328 hand-tested AI prompts across image, video, and music — each with full context, variables, and a sample output. Content is authored in Traditional Chinese; the UI here is English.
Paste in a long thread that's been forwarded among many people and gone back and forth a dozen times, and the AI identifies who's asking for what, which parts actually concern you, and who to reply to (and who not to) — plus a reply draft in a tone that fits Taiwanese workplace norms and a heads-up on any political risk.
Use this right after any speech-to-text tool: paste the transcript and get a formal record, a list of decisions, an action-item table with "Owner/Deadline/Dependencies," and a 3-line summary for people who missed the meeting. It handles transcription typos and mixed Chinese-English text, flags any deadline that wasn't actually stated as "to be confirmed," and doesn't make things up.
GitHub's official open-source tool for Spec-Driven Development. Using /speckit.specify → /plan → /tasks → /implement, it turns a vague requirement into an executable specification end to end, then has the AI generate code from that spec — fixing the unpredictability of 'vibe coding.'
A first-draft Product Requirements Document: a 3-sentence problem statement → 5 user stories → an API contract → success metrics. A spec engineers can start building from immediately.
Built for freelancers, founders, and PMs. Uses a one-question-at-a-time dialogue instead of a fill-in-the-blank template to draw out genuine reflection.
For product managers and founders. Strips the noise out of multiple interviews and extracts the shared patterns and pain points.
Condenses a long meeting transcript into three tiers: decisions, action items, and open questions.
Give it a topic, length, and platform, and it instantly produces a storyboard plus prompts ready to feed straight into Sora or Runway.