Animal Spy Cams – Wild Life Unfiltered · Open Skill 公开技能

Animal Spy Cams – Wild Life Unfiltered

Animal Spy Cams – Wild Life Unfiltered 🐒📸 Welcome to a world where animals become cameramen and humans become the stars of their recordings! 🐒🐱🦜 Discover a unique series of AI-generated videos in which curious monkeys, clever cats, playful squirrels, and other amazing animals use tiny cameras to capture funny, surprising, emotional, and unforgettable human activities from their own perspective. 🎥 What You'll Discover: - 🐒 Monkeys filming funny human behaviour. - 🐱 Cats capturing everyday life from their point of view. - 🦜 Birds recording surprising moments from above. - 🐿️ Squirrels and other animals exploring the human world. - 😂 Funny reactions, unexpected discoveries, and entertaining adventures. - ❤️ Heartwarming stories of humans helping animals and nature. 🌿 Every episode brings a new adventure, a fresh perspective, and a surprising story! Our videos combine cinematic visuals, realistic animal behaviour, creative storytelling, and engaging sound effects to bring these imaginative adventures to life. 📌 Subscribe and join the adventure! Discover how the world might look through the curious eyes of animals. ⚠️ This channel features fictional, AI-generated entertainment. The scenes are imaginative creations, not genuine hidden-camera recordings. They watch. They film. They tell the story! 🐾📹

@talimanzoor

Custom

6 0 3

https://d7qlwi7tl2u27.cloudfront.net/skill-covers/prod/2535178/2026-10-18/rf6qsq5f.png

---

allowed-tools:
  - generate_image
  - generate_video
  - generate_tts
  - generate_music
  - mix_clips
  - create_document
  - update_document
  - get_document
  - memory_whoami
  - memory_query
  - memory_store
  - memory_forget
---

# Animal Spy Cams – Wild Life Unfiltered

## When to use
- User wants a new episode of the Animal Spy Cams series (animals secretly filming humans with tiny cameras).
- User says "Create Episode 1", "Next Episode", "Monkey Camera", "Cat Camera", "Funny Human Habits", "Emotional Episode", "Urdu Voice-over", "Create Thumbnail".
- User wants to revise/regenerate an episode, change the narration language, or continue the series.

## Reference files
- `references/characters.md`: The animal cameramen bible (appearance, personality, camera gear, filming style). Read before generating any character reference image or scene.
- `references/episode-ideas.md`: The 8 core episode ideas plus how to invent fresh ones. Read when picking/creating an episode.
- `references/format.md`: The YouTube output package (title, 3s hook, scene prompts, voiceover script, thumbnail prompt, description, hashtags) and the scene-by-scene template. Read before writing the plan.

## Steps
1. First use `write_todos` to list the steps and update it as you progress.
2. Query memory (`memory_query`) for the user's saved preferences (narration language, favorite animal cameraman, last episode made) and `memory_whoami` for identity. Use them to tailor the episode.
3. Pick the animal cameraman and episode (from `references/episode-ideas.md` or a fresh idea). Read `references/characters.md` for that animal's consistent look/gear/style.
4. Write the episode plan as a document (`create_document`, `entity_type='scripts'`, name="Episode N – <title> plan"): title, 3-second hook, 3–5 scenes (~10s each, total 30–60s), each with scene number/duration, detailed visual prompt, animal+human actions, camera perspective/movement, narration line, ambient sound/SFX, and transition. Also write the voiceover script, thumbnail prompt, description, and hashtags per `references/format.md`. Show the plan to the user for approval before generating media.
5. Generate the animal cameraman character reference image(s) with `generate_image` (`model='t2i'`, `orientation='portrait'`, `entity_type='characters'`, name = animal name). Keep the same character across all scenes/episodes.
6. For each scene, generate the video with `generate_video` (`model='ref2v'`, `input_urls=[character reference image]`, `orientation='portrait'`, `resolution='720P'`, `entity_type='storyboard_videos'`, name="Scene N – <title>"). Prompt must describe the POV/close-up/wide shot, animal+human action, camera shake, autofocus, and lighting.
7. Generate the narration voiceover with `generate_tts` (`model='tts.design'`, `voice_instruction` in English describing a warm documentary narrator voice, `entity_type='voiceovers'`, name="Episode N narration"). Use the language the user requested (English / Urdu / Roman Urdu).
8. Generate background music with `generate_music` (`model='music'`, `entity_type='music'`, name="Episode N music") — light comedic documentary score with ambient nature sounds.
9. Stitch the scene videos with `mix_clips` (`entity_type='final_videos'`, name="Episode N – <title> final"), adding the narration and music as audio tracks and burning in subtitles (English/Urdu/Roman Urdu) via `clips[].subtitles`.
10. Generate the thumbnail with `generate_image` (`model='t2i'`, `orientation='portrait'`, `entity_type='storyboard_images'`, name="Episode N thumbnail") from the thumbnail prompt.
11. Save the user's preferences to memory (`memory_store`): narration language, favorite animal, last episode number/title. On success, summarize the episode in natural language and call `set_guidance` to suggest next actions (e.g. "Next Episode", "Monkey Camera", "Urdu Voice-over").

## Notes
- Keep each animal cameraman's appearance, personality, camera gear, and filming style consistent across