eli5
Skill29 starsChanged 8 months agoMITView on GitHub
Explain something to someone who knows nothing about it.
66 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- Suge8/friedbuntheir own version, first seen Nov 8, 2026
- GeiserX/sstacktheir own version, first seen Nov 8, 2026
- dzhng/jevgreptheir own version, first seen Nov 7, 2026
- GeiserX/agent-skillstheir own version, first seen Nov 6, 2026
- GeiserX/claude-skillstheir own version, first seen Nov 6, 2026
- ahmadrosid/nakamatheir own version, first seen Nov 5, 2026
Used with
Projects with it also use close-spec, design-with-images and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
dzhngSkillclose-spec
When a spec under specs/<feature>/ is done shipping (a write-spec build, or any planned task that produced a spec), archive it to specs/done/ and rewrite it from a build-plan into a durable rationale — the why, the principles, the invariants — pointing back to the real code for the how. Use when implementation has landed and the plan no longer matches what shipped, or the user says a feature/spec is finished. Pairs with [write-spec](../write-spec/SKILL.md) (the plan this closes) and [review](../review/SKILL.md) (run before closing).
Also in 5 projects that use this
dzhngSkilldesign-with-images
Explore UI and visual design with image generation, then iterate the real implementation against the user-selected concept. Use when brainstorming visual directions, offering mockup variants, or implementing an approved generated design; do not stop at the mockups or the first code approximation.
Also in 5 projects that use this
transitive-bullshitSkillcompare-screenshots
Compare screenshots against the intended design, distinguishing approved references from historical baselines. Use for iterative implementation matching, before/after visual review, objective image telemetry, or checking a lone capture for flat, empty, or badly framed content.
Also in 6 projects that use this
LucasMatuszewskiSkillaudit-agents
Audit and maintain agent configuration files (.claude/agents, AGENTS.md, CLAUDE.md, agent-memory). Checks for duplicates, outdated info, naming conflicts, wrong technical facts, and files over 200 lines. Fixes all issues and commits.
Also in 5 projects that use this
wolverin0Skillaudit-decisions
Standardize remediation decisions, baseline-policy entries, and legal-review banners for accepted, deferred, or policy-blocked audit findings.
Also in 4 projects that use this
rhnfzlSkillexplore-unknowns
Walk the user through mapping the unknowns of a task before, during, and after they build it, and hand them a four-quadrant map (settled ground, open decisions, taste, and landmines) they keep. Reach for this eagerly whenever a request is ambiguous or underspecified, the codebase or domain is unfamiliar, the user will "know it when they see it", a reference implementation must be understood before porting, a build-queue or architecture-changing task is about to start, a mid-build deviation needs capturing, or a finished change needs buy-in or verified understanding before merge. Trigger even when the skill is not named: "do a blindspot pass", "find my unknown unknowns", "interview me about this change", "brainstorm the approach for a task I am about to build", "help me scope this", "what am I missing here", "plan this before I build", "I know nothing about X in this codebase". When a territory profile is present it reads memory and the graph first and feeds the map into the build pipeline; without one it degrades to a plain general map. Not for trivial or mechanical tasks with clear acceptance criteria, single-fact lookups, pure debugging of a known symptom, or pure code review, those have their own tools. Do not use it to run the build itself; the map is the deliverable and implementation remains a separate task, whether it has not started or is already underway.
Also in 5 projects that use this
- +5 more from dzhng
Other versions66 projects use a version of this.
Word for word · 0
None found.
Edited · 1
- stevepolitodesign/skills★ 10100% same
Wrote their own version · 65
- advaitpaliwal/feynman★ 10ksame name
- companion-inc/feynman★ 10ksame name
- getcompanion-ai/feynman★ 10ksame name
- cloudflare/cloudflare-docs★ 5.4ksame name
- anthropics/claude-plugins-community★ 4.8ksame name
- dzhng/jevgrep★ 3.2ksame name
- coldteadotai/pr-lens★ 2.4ksame name
- dzhng/skills★ 1.5ksame name
- DreambigOu/ELI5★ 1.4ksame name
- ahmadrosid/nakama★ 786same name
55 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository14 other files it gives its agents.
- ask-claudeSkill
- commitSkill
- diff-explainerSkill
- domain-modelSkill
- implement-with-tddSkill
- multi-lens-reviewSkill
- preparatory-refactorSkill
- prSkill
- risk-scoreSkill
- rubber-duckSkill
- shipSkill
- sliceSkill
- traceSkill
- understandSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 2 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 50 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 45
The words: Every term a newcomer would bounce off, and what each means _in this repo_, which is usually narrower than in general.
- Distinctive: line 97
Don't end on an offer of further services.
“Common” is measured: kept by at least 6 in 10 of the 50 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
ELI5
The user has no foothold. /understand questions them about a model they already
hold; here there is no model to question, and asking produces a guess you then have to
correct. So read the thing, then explain it — plainly, concretely, once.
Two ways this fails. You explain it in the vocabulary of the thing itself ("the reconciler converges the cluster toward desired state"), which only reads to someone who already understands it. Or you reach for concreteness and invent it: a config value that isn't in the file, a sample record nobody has. The invented one is worse, because it's memorable, wrong, and this reader has nothing to catch it with.
1. Find the thing
The target is $ARGUMENTS, or ask. It arrives as a path, a name they keep seeing
(sidekiq, helm, useEffect), a word off a ticket (chargeback, dunning), a
link, or pasted text.
A path is the thing. A name or a word gets looked for in this repo first — manifests,
config, grep -ri — since the version this codebase uses beats the general one, which
covers ten features they'll never touch. Not here at all? Say so in one line, explain
it in general, and skip the trace agent below; there's nothing for it to read.
A directory: pick its entry point and say that's what you took. Don't ask what they already know or what they mean to do with it — questions are what they came here to be spared.
2. Send agents to read it
Launch subagents in parallel (Explore, or general-purpose) and wait. Three angles,
one agent each:
- What it's for. What job this does for a person, who that person is, and what visibly breaks if it vanishes. Tell the agent to answer without using the thing's own vocabulary, or it hands back the README's first paragraph.
- One real trace. A single instance start to finish, in order, with the branch at
each step and what happens when it fails — real route, real config value, a row from
seeds or fixtures, a real filename, cited
file:line. This is what step 4 draws. - The words. Every term a newcomer would bounce off, and what each means in this repo, which is usually narrower than in general.
Tell each that "I couldn't find a real example" is an acceptable answer, or an agent with no way to come back empty manufactures one that reads exactly like a real one. If the trace does come back empty, say so in the explanation — a gap you name costs less than a plausible value you filled it with.
Then open the files behind the claims you're about to assert, because a citation you took on trust is how you confidently explain a function that doesn't exist. If you had to skim, name what you couldn't verify — that's theirs to know. How the answer got made isn't, at either end of it.
3. Explain it
Lead with the job. "This decides who gets charged and when," before any mechanism. Mechanism has nowhere to attach yet.
Then a simple analogy, right after the job: one comparison from everyday life that a kid would follow. Keep both free of file, class and code names — even the file they asked about — since a path is jargon to this reader until the analogy has given it somewhere to land. A job queue is the ticket rail in a restaurant kitchen — the waiter clips the order up and walks away, and a cook pulls it down when free. Map its pieces onto the real ones and carry it through the drawing's values, then say where it breaks if the gap will bite them. One analogy, not a string of them. If they ask for no analogies, or for a different framing, do what they asked.
Anchor the mechanism to something they already have: elsewhere in this same repo,
then the stack they already work in (CLAUDE.md and the rest of the repo say which).
The second rung is the one that gets skipped — "this file is that stack's router" lands
where first principles don't.
Say the plain version first and the real name once, after, so they can go search for it: "the server kills the process when the machine runs low on memory; the logs call that evicted."
Show real values. ORDERS_PER_PAGE = 25, so page 3 starts at order 51.
Draw it — step 4. Not optional.
Stop at roughly thirty lines of prose plus the drawings. Past that you've started teaching the subsystem, and completeness is what loses this reader. The bar is that they could describe the thing to a coworker in two sentences.
Name the holes — what recon couldn't reach, what the code doesn't answer. A hole you name is one they can go ask a person about.
Last pass before you send, and it's the one that matters most: reread hunting for words that only land for someone who already knows this thing. Gloss each in place or cut it. Read the labels inside your drawings too — a term in the picture is the one they can't skip past, and it's where this pass usually misses. "Basically", "simply", "just" and "under the hood" mark a sentence you didn't finish writing — finish it. Don't end on an offer of further services.
4. Draw it
At least one drawing, every time. Plain text, in the chat, built from the trace agent's values. If you can't find a shape worth drawing, you don't understand it yet — go back to the trace rather than writing another paragraph.
Order — what happens, then what. Draw the failure branches; a happy path alone is the version that leaves them stuck at 2am. Elapsed time goes on the arrows, never on a scale, which would lie about the spacing.
POST /webhooks/stripe
|
v
verify signature --- bad --> 400, nothing else runs
|
good
v
enqueue ChargeSucceeded --3s--> worker marks invoice #4821 paidBoundary — where each part runs, and what crosses. For anyone meeting an unfamiliar stack this is usually the drawing that unlocks it.
browser | server
-------------------------+---------------------------
app/page.tsx renders | auth.ts holds the secret
click "Sign in" ------- | ---> POST /api/auth/signin
| sends back: a cookie, no tokenChange — what goes in, what comes out. Two columns of real values beat any sentence describing the transformation.
"123 Main St." --> "123 main st"
"123 main street" --> "123 main st"Structure — which nouns exist and how they hang together. This is the shape for explaining a domain, where there's no sequence to follow.
Subscriber --- has many ---> Invoice --- has one ---> Charge
|
+-- unpaid 30 days --> "in dunning"Containment — what wraps what. Nested boxes, the one that stops a stack of wrappers being magic.
+-- your call to getActivities() -----------------+
| +-- retry wrapper, 3 attempts ---------------+ |
| | +-- fetch() to strava.com/api/v3 -------+ | |Choices — how similar things differ. A table, with the columns that actually differ and nothing else.
Four rules hold these up:
- Real labels from their repo. "Service A" and "Service B" draw the category, not their system — the same picture would be true of any app.
- Same values as the prose. Numbers in the drawing and numbers in the text come from the one trace. Two versions of the same number is worse than neither.
- One idea per drawing. A legend means it's two drawings. Keep anything you drew by hand under about seventy characters wide, since a wrapped diagram in a terminal is noise; a table wraps on its own and is measured in columns instead — three or four.
- One line under it naming the surprising part — "nothing after the signature check runs." Never restate what the picture already said.
5. After
Answer follow-ups straight, and go read if you don't know. Never bluff here; everywhere else the user catches a wrong answer, and this one can't.
Want it deeper on one piece? That's another pass of this skill on a smaller target, not
a licence to switch into the vocabulary you spent step 3 avoiding. Don't quiz them —
being tested is /understand, and it's worth mentioning only if they ask what's next.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

