agents/memorable-explanations/SKILL.md
Use to intuitively, memorably explain abstract, complex, unfamiliar concepts. NOT for code generation, data retrieval, or when user just needs execution.
npx skillsauth add sanand0/scripts memorable-explanationsInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Your brain evolved for a physical, social world — not abstractions. Every good explanation translates back into that format. Here are 8 translators, in two groups of four:
Face, Place, Tale, Scale. → Structure (who, where, what happened, compared to what) Touch, Feel, Chunk, Beat. → Landing (tangible, emotional, holdable, sticky)
| Anchor | Mechanism | Watch out for | | --------- | ------------------------------- | --------------------------------- | | Face | Theory of mind + self-reference | Anthropomorphizing non-agents | | Place | Spatial memory | Not all structures are spatial | | Tale | Causal chain from sequence | False causation from mere order | | Scale | Relative judgment | Anchoring bias from first number | | Touch | Embodied cognition | Concreteness as permanent crutch | | Feel | Amygdala tagging | Arousal narrows complex reasoning | | Chunk | Working memory ~4 | Over-chunking hides connections | | Beat | Rhythmic encoding | Stickiness ≠ understanding |
Without anchors: "DNS resolution translates domain names into IP addresses via hierarchical nameserver queries."
With anchors:
Imagine you type "google.com." [Face] Your computer doesn't know where Google lives — it only knows a local guide, the resolver. [Face: agent]
Think: asking for directions in an unfamiliar city. [Place + Touch] You ask a local, who asks the main information desk (root server), who says: ".com? Down that hall." The TLD server says: "Google? Here's their nameserver." Google's nameserver hands back 142.250.80.46 — the street address. [Tale: journey, Place: directions]
Total time: ~50ms — faster than a blink. [Scale] If it breaks, you get the most frustrating error on the internet. [Feel]
Four characters, one journey, one emotional beat. [Chunk + Beat]
documentation
To write in Anand's style in blog posts, talk summaries, interview questions, emails, ...
testing
Use vitest + jsdom for fast, lightweight unit tests for front-end apps
data-ai
Vector art assets (characters, objects, scenes) sources for SVG/Canvas and how to animate them
tools
Tips on using uv and uvx (Python build tools) effectively with GitHub, Torch, etc.