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Research-to-scene architecture, reader co-creation, allegory, punctuation rhythm, endings, and authorship authenticity.
デフォルトでは、最初にソースを確認する Prompt が選択されています。直接コマンドに切り替えるか、ローカルコピーをダウンロードすることもできます。
インストールを決める前に、SKILL.md と SkillsMP に表示されている付属ファイルをお読みください。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
直接コマンドでは確認用 Prompt が省略されます。実行前にソースを確認してください。
npx skills add https://github.com/Farrice/mes-knowledge-base --skill yann-martel-storytelling-masteryコマンドは1行のまま表示されます。コピー前に横へスクロールして全体を確認してください。
ローカルで確認しますか？SkillsMP が現在取得できるファイルをダウンロードできます。
SKILL.md を表示中
| name | Yann Martel: Storytelling Mastery |
| description | Research-to-scene architecture, reader co-creation, allegory, punctuation rhythm, endings, and authorship authenticity. |
| version | 1.0 |
| format | completion-engine |
| workflows | 12 |
A story is prepared like a journey, written like a discovery, and finished like a question the reader can keep carrying.
| # | Workflow | Produces | Use When |
|---|---|---|---|
| 01 | Envelope Architecture Builder | Research-to-scene envelope map | You have notes, facts, or fragments but no story path |
| 02 | Co-Creation Gap Editor | Restraint edit and reader-work map | A draft explains too much or feels over-supplied |
| 03 | Scene Card Orchestration | Scene deck with movement and surprise | You need to turn material into scenes |
| 04 | Satisfying Mysterious Ending | Ending design with closure and afterglow | The piece ends flat, too neatly, or too abruptly |
| 05 | Animal Allegory Translator | Animal or mask-based allegory route | A heavy subject needs distance and entry |
| 06 | Ordinary Vessel Pressure Test | Character-vessel design | The character must carry extraordinary pressure |
| 07 | Punctuation Rhythm Score | Sentence tempo and punctuation edit | Prose feels monotone, breathless, or choppy |
| 08 | Rule Break Calibration | Deliberate experiment plan | You want to break form without losing the reader |
| 09 | Genre Contract Mapper | Reader-expectation contract | A story mixes genre, literary, or product forms |
| 10 | Sublime Question Engine | Moral and spiritual question map | A piece needs awe, depth, or a larger question |
| 11 | Authenticity Boundary Audit | AI/human authorship trust audit | You need to know whether AI help damages sincerity |
| 12 | Gift Release Review System | Launch and review detachment protocol | You are preparing to publish or share personal work |
| Martel Workflow | Stack With | Result |
|---|---|---|
| Envelope Architecture Builder | Wright Thompson | Research fragments become a central human story |
| Co-Creation Gap Editor | Ocean Vuong | Restraint plus perceptual charge |
| Scene Card Orchestration | Eric Roth | Scene order with cinematic movement |
| Satisfying Mysterious Ending | Mitch Albom | Accessible emotional closure with lingering question |
| Animal Allegory Translator | Donald Miller | Heavy brand education made simpler without becoming shallow |
| Punctuation Rhythm Score | Fareed Zakaria | Clear argument with better breath and tempo |
| Authenticity Boundary Audit | Lulu Cheng Meservey | Founder voice that preserves trust |
Long-Form Story Build
/martel-envelope -> /martel-scenes -> /martel-cocreation -> /martel-punctuation -> /martel-ending
Heavy Topic Allegory
/martel-sublime -> /martel-animal-allegory -> /martel-vessel -> /martel-ending
AI-Era Human Voice
/martel-authenticity -> /martel-cocreation -> /martel-punctuation -> /martel-gift-release
extractions/yann-martel/transcript.txtextractions/yann-martel/extraction-report.md12 deterministic practitioner prompts — each carries an Output Contract, Output Skeleton, and Quality Gate. When a deliverable matches one, Read it and honor its contract instead of improvising the output shape.
skills/yann-martel-storytelling-mastery/references/prompts-v2/animal-allegory-route.mdskills/yann-martel-storytelling-mastery/references/prompts-v2/authenticity-boundary-audit.mdskills/yann-martel-storytelling-mastery/references/prompts-v2/co-creation-gap-edit.mdskills/yann-martel-storytelling-mastery/references/prompts-v2/envelope-architecture-map.mdskills/yann-martel-storytelling-mastery/references/prompts-v2/genre-contract-map.mdskills/yann-martel-storytelling-mastery/references/prompts-v2/gift-release-protocol.mdskills/yann-martel-storytelling-mastery/references/prompts-v2/ordinary-vessel-character-sheet.mdskills/yann-martel-storytelling-mastery/references/prompts-v2/punctuation-rhythm-edit.mdskills/yann-martel-storytelling-mastery/references/prompts-v2/rule-break-calibration-plan.mdskills/yann-martel-storytelling-mastery/references/prompts-v2/satisfying-mysterious-ending-design.mdskills/yann-martel-storytelling-mastery/references/prompts-v2/scene-card-deck.mdskills/yann-martel-storytelling-mastery/references/prompts-v2/sublime-question-depth-map.mdThe /generate front door — in-house, pay-as-you-go creative generation (Higgsfield replacement). One command for image, video, and audio: routes each request to the right model recipe (skills/generate/models/*.json), defers to binding creative_router lanes (people → fal-people, style-family → fantastic-posters; Higgsfield fully retired 2026-08-06), quotes paid video before running, honors prompt-level budgets ("total budget $3"), runs comparison batches across models, logs every prompt beside its asset, and auto-refreshes the Asset Command Center (/assets-board). Use when the user says "generate", "make an image/video/voiceover", "create ads/assets/creative", names a model (recraft, kling, seedance, nano banana, gpt image), or asks for a multi-model comparison. Source: RoboNuggets 9C4TRbucmhQ, rebuilt on our fal-first stack.
The Edit Bay — in-house conversational video studio (VOX-style explainers, documentaries, shorts, LinkedIn video). Transcript-driven cutting, B-roll ladder, motion graphics as code, captions, music, publish-ready packages — all agent-operated, free-first. Use when Farrice says "edit this video/footage", "make an explainer/documentary/short", "cut this recording", "add B-roll/captions/music", "turn this essay/post into a video", or any video production ask. Front door for three modes: talking-head, VO-only, zero-camera (his recorded VO + assembled visuals — NO voice clone, NO TTS narration, his ruling 2026-08-06). Source: Brad Bonanno agentic edit pipeline (extractions/brad-bonanno-edit-bay/), rebuilt on the house stack: WhisperX local + edit_bay.py ffmpeg assembly + HyperFrames/Remotion graphics + /generate (fal) — NO Higgsfield (retired 2026-08-06).
Architects technical explainer videos using Brad Bonanno's structural patterns — survives short attention spans, communicates complete systems (not just teasers), and functions as a channel-building artifact (one video pulls subscribers, not just views). Use when planning a long-form technical explainer (5-20 min) for YouTube, structuring an explanation of a complex system the user knows but can't teach yet, balancing depth vs accessibility for a technical audience, or building an evergreen video meant to compound subscriber growth over years rather than spike then die. Trigger proactively whenever the user says "explainer video", "technical explainer", "how do I explain X", "long-form YouTube", "evergreen video", or has a complex system that needs to land with a non-expert. For Instagram-format shareworthy content use brock-johnson-shareworthy-content; for short-form video patterns use a TikTok/Reels-specific skill.
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