teach-me-nugget
Turn a concept just hit in live work into an immediately usable nugget — correct the user's guessed name, give the real terms of art, extract smells with…
Skill by ryangriffinau
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/ryangriffinau-teach-me-nugget
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/teach-me-nugget
What's inside
- Skill name
teach-me-nugget- Description
- Turn a concept just hit in live work into an immediately usable nugget — correct the user's guessed name, give the real terms of art, extract smells with concrete tests grounded in the incident's own numbers, and end on a one-line principle. Use when the user asks "what is this called?", guesses a name ("is this tree-shaking?"), or wants heuristics from a lesson just learned. Chat output only; deep study escalates to /teach.
- License
- MIT
- Instructions
- 65 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Teach Me Nugget
A **nugget** is the smallest teachable unit extractable from work that just
happened: the right name for the thing, how to smell it early, and one line to
keep. It is a fluency artifact — immediately usable, in-context — not a storage
artifact: it produces no files, no workspace, no curriculum. In /teach
vocabulary, a nugget builds fluency strength; storage strength is /teach's job,
and the escalation path between them is a single move — the user points /teach
at the nugget text.
The moment to fire: the user has just collided with a concept in live work they
can half-describe but not name — often mid-incident, right after the numbers
are on the table. Freshness is the whole leverage; a nugget written while the
user's own figures are still in front of them anchors where a textbook example
never will.
## Steps
1. **Correct the frame first.** If the user guessed a name ("is this a
tree-shaking issue?"), open by showing precisely why that name does or does
not fit, argued in the incident's own terms. The near-miss is the hook: the
gap between the guessed concept and the real one is the lesson. Done when
the guessed term has been explicitly accepted or rejected with a reason tied
to the incident.
2. **Name it.** Give the real terms of art — one to three, each with a
one-line definition. Terms must be searchable: the user should be able to
google them, or hand them to /teach, verbatim. If a concept has no
established name, say so and coin one, labeled as coined. Done when every
named term is either a recognized term of art or marked as coined.
3. **Ground it in their incident.** Every claim cites the actual numbers, file
paths, or code from the live work. The user's own figures (their 50×
amplification, their 61% fan-in) are the anchor; a hypothetical example is
a different, weaker nugget. Done when no claim in the nugget rests on an
invented example.
4. **Extract the smells.** A table, ordered by catch-rate: each row is a
smell, a concrete test anyone can run (a command, a threshold, a question),
and the reading from this incident. This is the actionable core — the user
should be able to apply a row to a different codebase tomorrow. Done when
every row's test is executable without this conversation as context.
5. **Compress to one line.** End with a single memorable principle that
carries the whole lesson — e.g. "if deleting an import would free
megabytes, the truth is stored in the wrong phase." If it needs two
sentences, it is two nuggets; pick the one the incident actually taught.
Done when the line stands alone without the table.
6. **Offer the knowledge-tree hook.** One sentence connecting the concept to a
fundamental the user already holds — the zone-of-proximal-development
anchor that lets them tie the nugget back to their core knowledge tree. If
no crisp connection exists, say that plainly: the inability to connect is
itself the signal, and the recommendation is then to escalate — point
/teach at this nugget for deep, stored study. Done when the nugget ends
with either a hook or an explicit escalation recommendation.
## Shape of the output
One chat reply, readable in one sitting: frame correction → names → grounded
evidence → smells table → one-liner → hook. The reply IS the nugget; the user
may later paste it into /teach as a mission seed, and nothing else needs to be
set up for that to work.From ryangriffinau/skills, MIT.
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Signals
- Stars
- 1
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 2, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/ryangriffinau/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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teach-me-nugget skill. Agent Mart. https://agentmart.dev/skills/ryangriffinau-teach-me-nugget (last updated 2026-10-24)