git:20260425.071417c to git:20260425.c1242ff

87 added, 75 removed. Audit A to C.

- ---

- name: reborn-history

- description: Generate Tim-Reborn-style grimdark AI history videos in English. Three-phase pipeline (Script → Image Prompts → Scene JSONs) producing cinematic 8–18 min YouTube longforms or 60s Shorts. Engineered for ASMR-tier sleep-listen retention, citation-grade historical accuracy, and Midjourney v7 + Kling 2.5 + ElevenLabs v3 + VEO 3.1 production stack. Optional locales include Hindi (Urdu-leaning Hindustani). Trigger when user says "reborn history", "AI history video", "grimdark history", "history reconstruction", "plague video", "fallen empire video", or invokes /reborn-history.

- license: MIT

- ---

- # Reborn History — Claude Code Skill

- Cinematic AI-history video generation system. Reverse-engineered from Tim - Reborn History (`@Tim_Reborn_History`), reference video *The Bubonic Plague in the 1300s* (`X-UgHOce2kk`).

- **Default language:** English (general). **Optional locales:** Hindi (Urdu-leaning Hindustani).

- ## When to use

- - User asks for an AI-history YouTube video

- - Topic is dark/grimdark: plague, war, atrocity, fall-of-empire, lost civilization, disaster

- - Format is faceless, narrated, cinematic, 8–18 min longform OR 60s Short

- - Target stack: Midjourney v7 / Flux 1.1 Pro + Kling 2.5 / Runway Gen-4 / VEO 3.1 + ElevenLabs v3 + CapCut/Premiere

- ## Pipeline

- Three phases. One input.

- | Phase | Output | Tool consumes |

- |-------|--------|---------------|

- | 1 | Script (markdown, scene-by-scene VO + SFX + visual seed) | ElevenLabs (VO), `tools/_build.py` (PDF) |

- | 2 | Image prompts (one per scene, era-locked, anti-anachronism) | Midjourney v7 / Flux 1.1 Pro / Nano Banana |

- | 3 | Scene JSONs (camera + motion + audio + continuity locks) | Kling 2.5 Master / Runway Gen-4 / VEO 3.1 |

- ## How to invoke

- 1. Pick prompt by language + format:

- - **English grimdark longform (DEFAULT)** → [`prompts/MASTER-PROMPT-REBORN-ENGLISH.md`](./prompts/MASTER-PROMPT-REBORN-ENGLISH.md)

- - English/Hindi grimdark Short (9:16, 60s) → [`prompts/MASTER-PROMPT-SHORT-HINDI.md`](./prompts/MASTER-PROMPT-SHORT-HINDI.md)

- - Hindi grimdark longform (Urdu-leaning) → [`prompts/MASTER-PROMPT-REBORN-HINDI.md`](./prompts/MASTER-PROMPT-REBORN-HINDI.md)

- - Hindi golden-hour longform → [`prompts/MASTER-PROMPT-LONG-HINDI.md`](./prompts/MASTER-PROMPT-LONG-HINDI.md)

- 2. Copy the fenced master-prompt block, paste into Claude/GPT/Gemini.

- 3. Fill INPUT (TOPIC, ERA, GEOGRAPHY, DURATION, NARRATOR, KEY FIGURES).

- 4. Receive Phase 1 (Script). Then `phase 2` (Image prompts), then `phase 3` (Scene JSONs).

- ## Inputs

+ # SKILL.md

- ```

- TOPIC: <event/era> — e.g. "Bubonic Plague 1347 Europe"

- ERA: <verified dates> — e.g. "1347–1351 CE"

- GEOGRAPHY: <route> — e.g. "Messina → Genoa → Marseille → Paris"

- DURATION: 8 | 12 | 18 min — longform; 45 | 60 sec for Short

- NARRATOR: <ElevenLabs voice>— e.g. "Adam (British-RP somber)" / "Daniel" / "Brian"

- KEY FIGURES: <optional> — verified historical individuals

+ ```yaml

+ name: reborn-master-prompt-generator

+ version: 2.1.0

+ description: |

+ Meta-skill that generates a niche-locked master prompt for AI video creation

+ given a NICHE and a reference YOUTUBE_URL. Runs a 5-agent reverse-engineering

+ pipeline (Niche Intelligence → Video Analysis → Pattern Engine → Prompt

+ Architect → Output Compiler) and emits a single paste-and-run master prompt

+ conforming to a 34-section canonical structure including a SCRIPT WRITING

+ SYSTEM section with mode-based narration (full / minimal / text-only / silent),

+ register lock, hook formula, retention mechanics, and cue notation. The output

+ prompt is topic-agnostic within the niche and reusable across an entire channel.

+ inputs:

+ - NICHE (required)

+ - YOUTUBE_URL (required)

+ - TARGET_TOOL (optional, default VEO3)

+ - DURATION (optional, default longform)

+ - LANGUAGE (optional, default English)

+ - EXTRA_NOTES (optional)

+ outputs:

+ - master_prompt (markdown, 1500+ words, 33 sections)

+ entrypoint: META-PROMPT.md

+ license: MIT

```

- ## Constraints (anti-fail)

+ ---

- - **Anachronism kill list**: plague-doctor beak mask pre-1619, eyeglasses pre-1286, printed books pre-1440, gunpowder cannon pre-1340, Yersinia pestis as period name (named 1894).

- - **Pacing lock**: 4–6 sec/shot longform, 1.5–2.5 sec Shorts. Hold 12–25s on hero stills.

- - **Audio lock**: VO 125–140 wpm; music −20 LUFS under VO; first 8 sec silent.

- - **Color lock**: crushed black + cool blue-grey + desaturated mid-greens + 55% saturation + heavy 16mm grain + FilmConvert Nostalgic LUT.

- - **Composition signature (Tim Reborn)**: low-angle + over-shoulder POV + dirty foreground (hood, hand, banner edge).

- - **Continuity lock**: 50-word character description reused VERBATIM across scenes.

+ ## How to invoke

- ## Output deliverables

+ 1. Open `META-PROMPT.md`. Copy the entire file.

+ 2. Paste into Claude / GPT-5 / Gemini.

+ 3. Append your INPUT block at the bottom.

+ 4. Submit. Receive the master prompt.

- - `SCRIPT-<topic>-REBORN.md`

- - `IMAGE-PROMPTS-<topic>-REBORN.md`

- - `SCENES-<topic>-REBORN.json`

- - PDF via `python tools/_build.py`

+ ## Canonical output sections (34)

- ## Skill files

+ The generated master prompt MUST contain, in order:

- - [`prompts/`](./prompts/) — four master prompts (English-Reborn DEFAULT, Hindi-Reborn, Hindi-Long, Hindi-Short)

- - [`reference/`](./reference/) — 5-agent pipeline outputs: niche intelligence, video analysis, pattern engine, prompt architect, output compiler, Tim Reborn deep research

- - [`examples/`](./examples/) — sample INPUT blocks

- - [`tools/_build.py`](./tools/_build.py) — markdown → PDF builder

+ 1. Header line (`You are an AI system specialized in...`)

+ 2. PRIMARY OBJECTIVE (PRIORITY ORDER)

+ 3. INPUT SYSTEM

+ 4. DESIGN AUTONOMY RULE

+ 5. HIGH RETENTION SYSTEM

+ 6. VISUAL HOOK RULE

+ 7. VARIATION ENGINE

+ 8. SECTION GENERATION SYSTEM

+ 9. STRUCTURE / WORLD CONSISTENCY

+ 10. SPATIAL / TEMPORAL CONTINUITY

+ 11. CAMERA SYSTEM

+ 12. CONTINUITY RULE

+ 13. NO REGRESSION RULE

+ 14. OBJECT / ELEMENT PERSISTENCE

+ 15. {NICHE_PROCESS} STAGES

+ 16. MICRO-STAGE DETAIL SYSTEM

+ 17. {KEY_COMPLETION} RULE

+ 18. SYMMETRY / BALANCE RULE

+ 19. STAGE RULES

+ 20. PROGRESS RULE

+ 21. {NICHE_KEY_MOMENT} RULE

+ 22. TRANSITION SYSTEM

+ 23. PACING

+ 24. AUDIO SYSTEM

+ 25. **SCRIPT WRITING SYSTEM** (always present; MODE = full-narration / minimal-narration / text-only / silent)

+ 26. LIGHTING SYSTEM

+ 27. COLOR GRADING LOCK

+ 28. IMAGE QUALITY SYSTEM

+ 29. MASTER IMAGE TEMPLATE

+ 30. SCENE SYSTEM (JSON schema)

+ 31. OUTPUT CONTROL

+ 32. FAILSAFE

+ 33. STYLE LOCK

+ 34. END OF PROMPT marker

- ## Cost + time per video

+ ## Quality gates

- |------|---------|------|------|

- | Low | Midjourney Basic + Kling 2.5 std + ElevenLabs Creator | $35–48 | 6 hrs |

- | Mid | Midjourney Std + Kling 2.5 Master + Runway Gen-4 hero + ElevenLabs Pro | $70–110 | 8 hrs |

- | Premium | Midjourney Pro + Kling 2.5 Master + VEO 3.1 + ElevenLabs voice clone | $130–190 | 10 hrs |

+ - Variation engine: ≥ 4 axes × ≥ 5 variants

+ - Stage progression: ≥ 6 niche-specific stages

+ - Audio system: maps SFX + music + VO to every stage

+ - **Script Writing System: explicit MODE, full register lock, second-by-second hook formula, ≥ 4 retention mechanics, cue notation reference, closing formula, ≥ 6 anti-fail rules, worked output example**

+ - Lighting system: progresses across stages

+ - FAILSAFE: ≥ 8 niche-specific rules

+ - Style Lock: focal length + grade + tones specified

+ - Length: ≥ 1800 words (script section adds ~300 words to baseline)

+ - Zero unfilled `{placeholders}` in final output

- ## Continuation commands

+ ## Special commands (post-generation)

- `phase 2` · `phase 3` · `rebuild scene N` · `variant` (4-axis reroll) · `next episode` · `convert to short` · `extend to 18 min`

+ - `show phase 1..5` — emit the internal agent output for that phase

+ - `variant` — regenerate only the VARIATION ENGINE section with different axes/values

+ - `tighten` — reduce output by 30–40% (keep rules, drop examples)

+ - `loosen` — expand examples and edge cases by 30–40%

+ - `script only` — emit only the SCRIPT WRITING SYSTEM section

+ - `flip mode to {full-narration|minimal-narration|text-only|silent}` — regenerate SCRIPT WRITING SYSTEM with that mode

- ## License

+ ## Safety / scope

- MIT. Free for commercial use. Attribution appreciated.

+ - Does not generate scripts, images, or videos itself — only the master prompt.

+ - Does not fetch external URLs autonomously beyond what the host model supports. If URL fetch fails, will request manual paste of title + transcript + first-30s frame description.

+ - No fabricated observations: if the reference video cannot be analyzed, the agent halts and asks the user.