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Course Storytelling

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ericrisco
course-storytelling

Use when lesson or course content is correct but forgettable and a concept has to LAND: profiles the learner, breaks the blocking false belief, then rebuilds it as epiphany story → named model → grounded analogy → proof → so-what. NOT outcomes, assessment or module order (that is `course-builder`), NOT slide visuals (that is `presentations`).

Overview

Publisherericrisco
Repositoryrsc-harness
Skill namecourse-storytelling
Stars
239
Forks
24
Bundled files
7
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 7 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ericrisco on GitHub. Read the source before you install it.

Installation

Install the Course Storytelling AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/ericrisco/rsc-harness/tree/main/skills/course-storytelling
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ericrisco/rsc-harness.git /tmp/rsc-harness
mkdir -p .claude/skills
cp -r /tmp/rsc-harness/skills/course-storytelling .claude/skills/course-storytelling
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Course Storytelling in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Course Storytelling on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Course Storytelling is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Course Storytelling — Make the Teaching Land

Take a concept the student would forget and turn it into one they can't unhear. Profile the learner first, then run every concept through the Expert Secrets machine: epiphany story → named model → grounded analogy → proof → do-this-now → the so-what.

This skill owns the teaching narrative: extracting what a course actually teaches, finding where it stays abstract, and rebuilding each concept so the realization happens in the student, emotionally, not just on the slide. It borrows Russell Brunson's Expert Secrets frameworks as a teaching methodology (this is method, not text reproduction).

Boundaries: course-builder decides what the course must prove — outcomes, assessment, module order — and hands you the skeleton; this skill makes each concept inside it land. presentations turns the landed lesson into a deck, design owns the pixels, marketing owns the words that sell the course, and a content-audit/review-content pass diagnoses an existing lesson (run it first, bring its findings here — that pass audits, this one rebuilds).

Teaching ≠ selling. Brunson's frameworks here serve comprehension and retention. The "sale" you're closing is belief in the idea and trust in the teacher — never bolt a pitch onto a lesson.

Learner grounding (hard gate — read this first)

Never reframe teaching without a complete learner + audience profile. Teaching into a void defaults to your AI-median explainer voice — abstract, jargon-true, emotionally dead. An incomplete profile is a hard STOP, not a warning, because everything downstream (which false belief to break, which analogy lands) is derived from it.

  1. Locate the profile. Read the root CLAUDE.md, follow its ## Knowledge map pointer to 02-DOCS/wiki/index.md, and look for the entry into 02-DOCS/wiki/teaching/ (the harness Karpathy-wiki convention: compiled articles in 02-DOCS/wiki/teaching/, raw user-pasted material in 02-DOCS/raw/teaching/). No CLAUDE.md, no index entry, or a pointer that goes nowhere = ABSENT.
  2. Check completeness against the checklist in references/learner-grounding.md: the LEARNER (level, prior knowledge, pains, desires, current false beliefs, what they DO after), the AUDIENCE (same as the buyer? live vs recorded? size? context?), the target TRANSFORMATION (one result, before→after), and constraints/format. Any empty dimension = INCOMPLETE.
  3. If ABSENT or INCOMPLETE, STOP and interview with the batched question script in references/learner-grounding.md — one focused batch at a time, wait, persist, continue. Then write the profile as wiki articles under 02-DOCS/wiki/teaching/ (learner.md, audience.md, transformation.md, false-beliefs.md, constraints.md, index.md), save pasted transcripts/outlines/slides verbatim under 02-DOCS/raw/teaching/ and link them from each article's > Raw: line, index the profile in 02-DOCS/wiki/index.md, and ensure root CLAUDE.md carries the short pointer to that index (create it if absent; additive only). Article format and the exact CLAUDE.md snippet → references/learner-grounding.md.
  4. Only then proceed, citing which articles you used ("grounded in 02-DOCS/wiki/teaching/learner.md and false-beliefs.md") so every reframing is traceable to a real learner, not an imagined one.

Sole exception: if the user explicitly says "skip the profile, just rough one concept", produce a clearly-labelled DRAFT (ungrounded — not learner-checked) and still recommend running the gate before anything ships.

The teaching workflow (one pass)

Run in order. Each step feeds the next; skipping one shows up as a flat lesson downstream.

  1. Ground. Pass the gate above. Load learner, audience, transformation, false beliefs, constraints from 02-DOCS/wiki/teaching/ and cite them.
  2. Analyze the content. Ingest the material; extract the concept list AND the existing narrative spine; map the ungrounded / jargon-heavy / story-less gaps. → references/course-analysis.md.
  3. Set the Big Domino. Name the one belief per module that makes everything else fall, and sequence concepts to build toward it — not every lesson is equally important. → references/brunson-frameworks.md, references/course-analysis.md.
  4. Per concept, find the false belief the learner holds (vehicle / internal / external) and the epiphany that breaks it. Break it before teaching: a lesson landing on an unbroken false belief bounces off. → references/brunson-frameworks.md.
  5. Run the landing recipe for each concept: hook → epiphany-bridge story → named mental model → grounded analogy → proof/demo → application (do-this-now) → so-what. Every concept gets all seven; a concept with no story is forgotten by tomorrow, and one with no so-what is trivia. → references/concept-landing-recipe.md.
  6. Name the models. Engineer a sticky, ownable name + a concrete analogy for each — an unnamed idea can't be repeated, so it can't be retained, and an abstraction with no analogy from the learner's own world is a defect. → references/mental-models.md.
  7. Rewrite the narrative spine. Resequence the whole module/course as a belief-building arc (the Hero's Two Journeys), not a topic dump. → references/brunson-frameworks.md, references/course-analysis.md.
  8. Run the QA gate (below) and scripts/verify.sh. Fix every flag or justify it.

Throughout: tell the epiphany as a journey so the student arrives at the insight rather than being handed the conclusion, explain it in the student's vocabulary instead of the discipline's, and never invent proof — if a demo, result, metric or credential wasn't supplied by the user, mark it [[NEEDS PROOF]] and ask.

The Expert Secrets toolkit (applied to teaching)

These are the frameworks you run each concept through. Full templates, scripts, and worked teaching examples → references/brunson-frameworks.md. Source-confirmed sequence and naming via Brunson's Expert Secrets (see citations in that reference).

  • The Epiphany Bridge. Tell the story of how you (or a relatable character) first realized this — so the student feels the same realization rather than being told the conclusion. Beats: backstory → the desire → the wall (the struggle) → the epiphany (the "aha") → the new opportunity → the result/transformation. Emotion first, mechanics second.
  • The three false beliefs. Before a student adopts a concept they must drop the belief blocking it. There are exactly three kinds, each broken by its own epiphany story:
    • Vehicle — "this approach/tool/method won't work (for this)."
    • Internal — "even if it works, I can't do it."
    • External — "even if I can, something outside me (time, boss, budget, the system) will stop me."
  • The Big Domino. The single belief that, if installed, makes every downstream concept fall on its own. Name it per module; aim the whole arc at knocking it over.
  • Named mental models. Every concept gets a short, ownable name + a concrete analogy so the student can carry it, repeat it, and reuse it. (→ references/mental-models.md)
  • The Hero's Two Journeys. The outer journey (the skill/result) runs alongside the inner journey (the identity shift). Teach both; the inner journey is what makes them love the teacher.
  • The Attractive Character. The teacher persona that earns trust: a relatable backstory, admitted flaws, parables, and polarity (a clear point of view). Students bond to a character, not a curriculum.
  • Story-selling, grounded. Ground abstractions to earth with concrete analogies/metaphors from the learner's world, "explain it like their day", and future-pacing so the idea becomes tangible enough to click emotionally.

Analyze the course content

Before reframing you must see what's there. Ingest the material and produce three artifacts — full method, extraction prompts and the gap-map template → references/course-analysis.md:

  1. Concept inventory — every distinct idea the material teaches, in teaching order, with a one-line "what the student should be able to DO after this".
  2. Existing narrative spine — the throughline already present (if any): where it hooks, where it goes flat, whether it builds belief or just stacks topics.
  3. Gap map — per concept, flag no-story, unnamed, no-analogy, jargon-dense, no-application, no-so-what, belief-not-broken. These flags drive the rework and mirror exactly what scripts/verify.sh greps for.
text
GAP MAP (one row per concept)
concept            | has story? | named? | analogy? | jargon | application? | so-what? | false belief targeted
-------------------+------------+--------+----------+--------+--------------+----------+----------------------
"idempotency"      | no         | no     | no       | HIGH   | no           | no       | (none) -> internal
"retry w/ backoff" | partial    | no     | weak     | MED    | yes          | no       | vehicle

The landing recipe (per-concept output)

This is the deliverable for every concept. Seven beats, in order. Full template + a fully worked Before→After example → references/concept-landing-recipe.md.

text
LANDING RECIPE — <concept>
1. HOOK ............. the tension/question that makes them lean in (open a loop)
2. EPIPHANY STORY ... backstory -> desire -> wall -> epiphany -> new opportunity -> result
3. MENTAL MODEL .... the named, ownable idea (a label they can repeat)
4. GROUNDED ANALOGY  the concrete metaphor from THEIR world that makes it tangible
5. PROOF / DEMO .... show it working: a demonstration, before/after, or real receipt
6. APPLICATION ..... do-this-now: the smallest action that makes the idea theirs today
7. SO-WHAT ......... future-pace the payoff: what's now possible, why it mattered
text
Bad  (lecture)  — "Idempotency means an operation can be applied multiple times without
                   changing the result beyond the initial application."
Good (landed)   — HOOK: "Ever double-clicked 'Pay' and panicked you'd be charged twice?"
                  STORY: the night a retry double-charged 4,000 customers...
                  MODEL: 'The Elevator Button' — pressing it five times still calls one elevator.
                  ANALOGY: the button's already lit; more presses change nothing.
                  PROOF: same request ID sent 5x -> one charge (show the log).
                  APPLICATION: add an idempotency key to your next POST today.
                  SO-WHAT: you can now retry fearlessly — failures stop being scary."

Anti-patterns

Anti-patternReality / fix
"The concept is clear, it doesn't need a story"Clear ≠ memorable. No story = forgotten by tomorrow. Add an Epiphany Bridge beat.
"Naming it is cutesy / unnecessary"Unnamed ideas can't be repeated, so they aren't retained. Give it a sticky, ownable name.
"The definition IS the explanation"A definition is the destination; the student needs the journey to arrive there. Ground it with an analogy.
"My audience is technical, skip the analogy"Experts forgot they once didn't know. Analogy speeds the click for everyone; jargon density is a defect.
"I'll just tell them the insight"Told insight bounces off; arrived-at insight sticks. Make the realization happen in them.
"Teach the right way first, address doubts later"An unbroken false belief deflects the lesson. Break vehicle/internal/external before installing.
"Every lesson is equally important"No — one Big Domino per module makes the rest fall. Find it; aim the arc at it.
"End on the summary"Summaries are forgettable; future-paced so-whats are not. End on what's now possible.
"I'll invent a quick case study to prove it"Never. Stories must be true. Mark [[NEEDS PROOF]] and ask the user.
"Just teach the skill (outer journey)"The inner journey (identity shift) is why they love the teacher. Teach both.

Teaching QA gate ("did it land?")

Run before claiming done. scripts/verify.sh automates the greppable subset (read-only; warns by default, --strict to gate CI).

  • Learner + audience profile located, complete, and cited (which articles grounded this).
  • Big Domino named for the module; the arc is sequenced to knock it over.
  • Every concept has ≥1 story (Epiphany Bridge beat) — no no-story lessons.
  • Every concept has a named, ownable mental model.
  • Every abstraction has a concrete analogy from the learner's world.
  • The targeted false belief (vehicle / internal / external) is named and broken before the concept is installed.
  • Every concept ends with an application (do-this-now) and a so-what (future-paced payoff).
  • Jargon is glossed or grounded; no unexplained term-dumps.
  • The insight is arrived at, not stated; the realization happens in the student.
  • Both journeys present: the skill (outer) and the identity shift (inner).
  • No fabricated stories, proof, metrics, or credentials; gaps marked [[NEEDS PROOF]].
  • The reworked narrative spine builds belief, it doesn't just stack topics.

Project grounding (02-DOCS)

Beyond the gated learner profile, record the course teaching conventions at 02-DOCS/wiki/stack/course-storytelling.md (or alongside the profile under 02-DOCS/wiki/teaching/): the established narrative spine, the named mental models already coined, the Big Dominoes per module, and the teacher's Attractive Character. Recorded, not gated — update it as decisions are made, keep its entry current in 02-DOCS/wiki/index.md, read it first on every use, and keep every reframing consistent with it. The wiki convention itself belongs to ../harness/SKILL.md. If the project has no 02-DOCS layer, skip this silently and proceed with the in-session profile.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Course Storytelling AI skill do?

Use when lesson or course content is correct but forgettable and a concept has to LAND: profiles the learner, breaks the blocking false belief, then rebuilds it as epiphany story → named model → grounded analogy → proof → so-what. NOT outcomes, assessment or module order (that is `course-builder`), NOT slide visuals (that is `presentations`).

Why use Course Storytelling on TypingMind?

Because you install it once and use it with any model. Course Storytelling is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Course Storytelling in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ericrisco/rsc-harness/tree/main/skills/course-storytelling. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Course Storytelling?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Course Storytelling?

As many as you like. As long as a model supports skills, you can use Course Storytelling with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Course Storytelling AI skill free?

Yes. It is published on GitHub by ericrisco under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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