Reborn Forge

SKILL.md

name: reborn-master-prompt-generator
version: 2.3.0
description: |
  Meta-skill that generates a niche-locked master prompt for AI video creation
  given a NICHE, YOUTUBE_URL, and INCLUDE_SCRIPT toggle (yes/no). 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 with 35 sections (or 36 if INCLUDE_SCRIPT=yes, adding the
  SCRIPT-TO-SCENES PIPELINE). The pipeline auto-converts script → seconds →
  scene count → image count using floor(seconds/8) for scenes and scenes+1 for
  chained-frame images. Output 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

How to invoke

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.

Canonical output sections (35 or 36)

Section count depends on INCLUDE_SCRIPT:

• INCLUDE_SCRIPT = no → 35 sections (no PIPELINE section)
• INCLUDE_SCRIPT = yes → 36 sections (PIPELINE inserted at #31)

The generated master prompt MUST contain, in order:

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 matches INCLUDE_SCRIPT — full/minimal if yes, text-only/silent if no)
26. LIGHTING SYSTEM
27. COLOR GRADING LOCK
28. IMAGE QUALITY SYSTEM
29. MASTER IMAGE TEMPLATE (includes Character Lock: field)
30. CHARACTER / SUBJECT CONTINUITY (always present; method = midjourney_cref / flux_lora / kling_first_last_frame / runway_references / sora_storyboard / veo_image_condition / none)
31. SCRIPT-TO-SCENES PIPELINE (only if INCLUDE_SCRIPT = yes — 7-step math: script → seconds → scenes → images, chained-frame pairing, proportional section distribution)
32. SCENE SYSTEM (JSON schema with valid placeholder syntax + worked example)
33. OUTPUT CONTROL (script-first batched if INCLUDE_SCRIPT=yes; direct image+JSON emission if no)
34. FAILSAFE
35. STYLE LOCK
36. END OF PROMPT marker

If INCLUDE_SCRIPT = no, skip section 31 entirely (the count drops to 35 and #32 becomes the new #31).

INCLUDE_SCRIPT toggle (CRITICAL — required input)

The user MUST specify whether the niche needs voiceover narration:

• yes — niche needs continuous narration (history, lore, mystery, educational, "what happened to", documentaries, biographies). The master prompt's downstream behavior is: write script first → ask user for VO length → compute scenes/images → emit batches.
• no — niche is purely visual (mansion / hotel restoration, watch / car detailing, ASMR-craft, aesthetic loops, satisfying transformations). The master prompt skips script entirely and emits image prompts + scene JSON directly.

If the user does not specify INCLUDE_SCRIPT, the generator ASKS before producing anything else. It never defaults silently.

Niche-family default suggestions (used only when user explicitly asks "what should I pick?"):

• History / lore / mystery / educational / mythology → yes
• Restoration / craft / ASMR / aesthetic loops → no
• Travel / food / fashion cinematic → either, ask user

Script-to-scenes pipeline math (when INCLUDE_SCRIPT=yes)

The generated master prompt enforces this exact 7-step flow at runtime:

1. Emit script as text (no images, no JSON yet)
2. Ask user: "What is your target voiceover length in MINUTES?"
3. TOTAL_SECONDS = VO_MINUTES × 60
4. SCENE_COUNT = floor(TOTAL_SECONDS / SCENE_DURATION) — default SCENE_DURATION = 8s
5. IMAGE_COUNT = SCENE_COUNT + 1 — chained-frame motion (Sora 2 override: IMAGE_COUNT = SCENE_COUNT)
6. Pair scenes: Scene N uses Image N (start) + Image N+1 (end). Image N+1 is also Image N+1 of the next scene — same image, no jump cuts.
7. Distribute scenes across script sections proportionally; emit prompts in 2-section batches with STOP between.

Worked example: 8-min history video → 480 sec → 60 scenes → 61 images.

Numbering consistency rule (CRITICAL)

Every emitted master prompt picks ONE numbering scheme and applies it everywhere:

• Scheme A (Section-aligned, 1-indexed): Section 1 = cold open, Section N = coda. Used for fixed-arc niches.
• Scheme B (Process-aligned, 0-indexed): Stage 0 = before state, Stage N = final reveal. Used for transformation niches.
• HIGH RETENTION SYSTEM, STAGES, PACING, AUDIO, LIGHTING, SCRIPT, and PIPELINE all reference the same scheme.

Character continuity (CRITICAL when named subjects exist)

If the niche features named figures or recurring focal objects, the master prompt MUST emit tool-specific lock syntax:

• Midjourney v7: --cref <URL> --cw 100
• Flux 1.1 Pro: <lora:name_v1:0.85>
• Kling 2.5: first-frame pinning
• Runway Gen-4: @reference_name tags
• Sora 2: storyboard character cards
• VEO 3.1: image_condition parameter

If no named subjects exist, the section still appears with method: none.

Quality gates

• INCLUDE_SCRIPT confirmed by user (never silently defaulted)
• Numbering consistent across all sections (no mixed Section/Stage indexing)
• 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
• MODE matches INCLUDE_SCRIPT (full/minimal vs text-only/silent)
• Character / Subject Continuity: explicit method + tool-specific syntax in MASTER IMAGE TEMPLATE
• Scene JSON: valid syntax (parses as JSON), filled fields, worked example with real values
• Pipeline section emitted IFF INCLUDE_SCRIPT=yes (no stub if no)
• If pipeline emitted: all 7 steps, worked example, SCENE_DURATION + Sora overrides, ≥ 5 anti-fails
• OUTPUT CONTROL reflects mode (script-first vs direct-emission)
• Lighting system: progresses across stages
• FAILSAFE: ≥ 8 niche-specific rules + character lock failures + pipeline anti-fails (if applicable)
• Style Lock: focal length + grade + tones specified
• Length: ≥ 1800 words (≥ 2100 if INCLUDE_SCRIPT=yes)
• Zero unfilled {placeholders} in final output

Special commands (post-generation)

• 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
• flip include_script — toggle INCLUDE_SCRIPT and regenerate SCRIPT WRITING + PIPELINE sections
• flip numbering — switch between Scheme A (Section-aligned) and Scheme B (Process-aligned)
• flip character lock to {midjourney_cref|flux_lora|kling_first_last_frame|runway_references|sora_storyboard|veo_image_condition|none} — regenerate CHARACTER CONTINUITY with that method

Safety / scope

• 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.