--- name: storytelling slug: storytelling version: 1.0.0 description: Craft clear, emotionally resonant stories with audience-first framing, narrative arc control, and channel-specific rewrites. homepage: https://clawic.com/skills/storytelling changelog: Initial release with audience framing, story arc diagnostics, and channel-specific rewrite playbooks. metadata: clawdbot: emoji: 📖 requires: bins: [] config: - ~/Clawic/data/storytelling/ os: - darwin - linux - win32 displayName: Storytelling --- ## Setup On first use, read `setup.md` to align activation behavior, current storytelling goal, and audience context without delaying the immediate task. ## When to Use User needs to explain, persuade, or teach through narrative and wants a story that is coherent, specific, and emotionally engaging. Use this skill for product stories, founder narratives, case studies, speeches, long-form writing, and short content adaptations. ## Architecture Memory lives in `~/Clawic/data/storytelling/`. See `memory-template.md` for baseline structure. ```text ~/Clawic/data/storytelling/ |-- memory.md # Audience profile, active narrative goals, and constraints |-- story-bank.md # Reusable stories, scenes, and proof points |-- messaging-pillars.md # Core themes, promises, and supporting evidence `-- edit-log.md # Draft iterations, decisions, and what changed ``` ## Quick Reference Load only the smallest file needed to solve the current bottleneck. | Topic | File | |-------|------| | Setup and activation behavior | `setup.md` | | Memory structure and status model | `memory-template.md` | | Arc design and narrative sequencing | `story-arc-map.md` | | Scene construction and detail layering | `scene-design.md` | | Format-specific adaptations and compression | `rewrite-modes.md` | | Voice calibration and consistency checks | `voice-consistency.md` | ## Data Storage Local notes in `~/Clawic/data/storytelling/` may include: - audience assumptions, emotional target, and success criteria - bank of anecdotes, examples, and proof artifacts - draft variants, edit decisions, and rejected directions - reusable hooks, openings, transitions, and closings ## Core Rules ### 1. Anchor Every Story to One Audience Outcome Define one concrete outcome before drafting: - understand a complex idea - believe a claim - make a decision - remember a key message If the desired audience shift is not explicit, the story drifts into pleasant but ineffective prose. ### 2. Build a Causal Arc, Not a Topic List Force each section to answer one of these transitions: - context -> tension - tension -> decision - decision -> action - action -> result If two consecutive sections do not have a causal bridge, add one or remove one section. ### 3. Use Specific Evidence at the Point of Highest Skepticism Place proof where disbelief is most likely: - before major claims - after bold promises - inside turning points Evidence can be data, concrete examples, constraints, trade-offs, or observed outcomes. Generic claims without proof collapse trust. ### 4. Control Emotional Pace with Scene Density Alternate tight scenes and high-level summaries: - tight scene for empathy and credibility - summary passage for speed and direction Overusing scenes slows momentum. Overusing summaries removes emotional impact. ### 5. Separate Drafting from Judgment Run two explicit passes: - pass A: generate material without heavy self-editing - pass B: cut, reorder, and sharpen for clarity Mixing ideation and critique in one pass usually creates safe, flat narratives. ### 6. Adapt Format Without Losing Core Story Logic For every channel version, preserve: - core conflict - key decision - core proof - final implication Short formats require compression, not simplification into vague slogans. ### 7. End with a Single Clear Action or Reflection Close with one explicit endpoint: - what to do next - what to believe now - what to watch for A strong ending turns narrative quality into practical impact. ## Storytelling Traps - Opening with background before stakes -> audience attention drops before the story starts. - Adding too many subplots -> the central message becomes untraceable. - Using abstract adjectives instead of concrete moments -> no mental image, low recall. - Explaining every detail chronologically -> pacing slows and key turning points disappear. - Rewriting tone without rechecking logic -> polished text with broken argument flow. - Ending with broad inspiration only -> no decision, no behavior change, no result. ## Security & Privacy Data that leaves your machine: - none by default from this instruction set - only user-approved outbound requests when the user explicitly asks for external research Data that stays local: - storytelling context and iterative notes under `~/Clawic/data/storytelling/` - draft structure choices and narrative experiments This skill does NOT: - request secrets, passwords, or private credentials - make hidden network calls - perform irreversible actions automatically ## Scope This skill ONLY: - structures narrative strategy for clarity, persuasion, and memorability - improves story logic, evidence placement, pacing, and adaptation - supports iterative drafting with explicit quality checks This skill NEVER: - fabricate facts or testimonials - claim outcomes that evidence cannot support - replace domain review when factual or legal accuracy is required ## Related Skills More Clawic skills, get them at https://clawic.com/skills/ (install if the user confirms): - `writing` - Improve writing quality with clearer structure and stronger revision passes. - `content-marketing` - Connect stories to audience segments, funnel stages, and distribution plans. - `storybook` - Create consistent narrative components for UI and product communication flows. - `history` - Build context-rich historical narratives with chronology and source-aware framing. - `youtube-video-transcript` - Turn transcript material into tighter narrative scripts and summaries. ## Feedback - If useful, star it: https://clawic.com/skills/storytelling - Latest version: https://clawic.com/skills/storytelling --- Source attribution: clawic Original project: https://github.com/clawic/skills/blob/f825206afbf1c697202533a9187be68c7b697e0e/skills/storytelling/SKILL.md License: MIT License information: https://opensource.org/license/mit Original upstream instructions; downloaded from Mega AI Hub. ## Upstream license notice MIT License Copyright (c) 2026 Ivan G. Davila Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. # Mega AI Hub resource metadata Creator / publisher: clawic Original project: https://github.com/clawic/skills/blob/f825206afbf1c697202533a9187be68c7b697e0e/skills/storytelling/SKILL.md Attribution basis: Source repository record Fields of work: Content & Media, Marketing Roles: Brand Strategist, Content Marketer, Copywriter, Influencer Marketer, PR & Communications Specialties: Specialty not specified Tools: Storytelling Country applicability: Country not specified Classification basis: Source catalog labels Instruction SHA-256: cc1020ef2ab27ade81bebecbd0c35867697ff442fe41fd1086274beb924283d0