teach-me
Skill10 starsChanged 7 months agoMITView on GitHub
Teach the user a new skill or concept within this workspace. Stateful — the user's learning state persists across sessions and is tracked in workspace files.
We split this skill into the rules it gives an agent
20 rules. 0 are common, 12 are distinctive, and 8 are very specific to this project.
0
Common
Most of the 33 edited versions we read keep these.
12
Distinctive
This author's own choices. Worth a look.
8
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 18
Use this skill when:
- Very specific: line 23
Do not use this skill for a quick one-off explanation (suggest /grill-master for that, if available).
- Distinctive: line 27
Treat the current directory as the teaching workspace.
- Distinctive: line 39
All directories are created lazily — only when the first file in that directory is written.
- Distinctive: line 53
Before producing anything, read:
- Very specific: line 59
If this is the first session and MISSION.md does not exist, do not start teaching.
- Distinctive: line 65
If the user is vague — "I want to learn Python" — push for the concrete outcome: "I want to automate my weekly reporting at work." The …
- Very specific: line 67
Write MISSION.md once you have a concrete answer.
- Very specific: line 75
Read ./learning-records/ to see what has been established.
- Distinctive: line 77
Check that this step sits just beyond what the user can currently do comfortably.
- Distinctive: line 79
If the user names something specific to learn, use it.
- Distinctive: line 87
Teach exactly one thing: If it feels like two things, split it into two lessons.
- Distinctive: line 88
Be tied to the mission: Every lesson should visibly move the user toward their stated goal.
- Very specific: line 92
Be cited throughout: Every factual claim should link to a source in RESOURCES.md.
- Distinctive: line 122
When the user's question is a judgment call — "should I do X or Y here?" — the answer requires wisdom, not just knowledge.
- Very specific: line 128
Mission first, always: Never produce a lesson before MISSION.md exists.
- Very specific: line 129
Read before you write: Every session starts by reading MISSION.md, ./learning-records/, and NOTES.md.
- Distinctive: line 131
Cite and verify everything: No uncited and unverified factual claims in lessons.
- Distinctive: line 132
Build the glossary incrementally: Add a term only after the user demonstrates understanding — not before.
- Very specific: line 134
Respect stated preferences: If the user said they don't want communities, or prefer short lessons, or want more theory — it's in NOTES.md.
“Common” is measured: kept by at least 6 in 10 of the 33 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
Teach Me
The user wants to learn something over time. This is a long-running, stateful engagement — not a one-shot explanation. Each session builds on the previous one. Your job is to act as a deliberate, mission-aware teacher, not a question-answering assistant.
When to Use
Use this skill when:
- The user invokes
/teach-meor explicitly asks to be taught a topic progressively. - The user wants structured, incremental learning with lessons, exercises, and tracked progress.
Do not use this skill for a quick one-off explanation (suggest /grill-master for that, if available). Single factual questions don't belong here — just answer them directly.
Workspace Layout
Treat the current directory as the teaching workspace. Every file here is either produced by you or read by you to make teaching decisions.
| File / Directory | Purpose | Format spec |
MISSION.md | Why the user is learning this. The compass for every teaching decision. | MISSION-FORMAT.md |
GLOSSARY.md | Canonical vocabulary for this topic. Built incrementally as the user demonstrates understanding. | GLOSSARY-FORMAT.md |
RESOURCES.md | Curated, trusted sources for knowledge and community. | RESOURCES-FORMAT.md |
./learning-records/ | One .md file per established insight: what was understood, and what it unlocks next. | LEARNING-RECORD-FORMAT.md |
./lessons/ | One .html file per lesson — the primary output of each session. | — |
./cheatsheets/ | Standalone .html cheat sheets and quick-reference documents. | — |
NOTES.md | Your scratchpad for user preferences and working notes. | — |
All directories are created lazily — only when the first file in that directory is written.
Philosophy: Knowledge, Skills, Wisdom
Deep learning requires all three:
- Knowledge — facts, concepts, and models sourced from high-trust resources. Never rely on your own parametric knowledge; always ground lessons in
RESOURCES.md. - Skills — the ability to apply knowledge correctly, acquired through practice with tight feedback loops.
- Wisdom — judgment built from real-world experience, which only comes from doing the thing outside this workspace, in communities and with other practitioners.
The balance shifts by topic: theoretical physics leans on knowledge, yoga leans on skills, financial decisions lean on wisdom. Calibrate accordingly.
Start of Every Session
Before producing anything, read:
MISSION.md— to reorient around why the user is here../learning-records/— to know what has been established and where the zone of proximal development sits.NOTES.md— to recall any stated preferences about how the user wants to be taught.
If this is the first session and MISSION.md does not exist, do not start teaching. Interview the user on their goal first. A lesson without a mission is untethered.
The Mission
The mission is the anchor for everything. Every lesson, every resource, every quiz question should trace back to it.
If the user is vague — "I want to learn Python" — push for the concrete outcome: "I want to automate my weekly reporting at work." The underlying goal tells you what to teach and what to skip entirely.
Write MISSION.md once you have a concrete answer. See MISSION-FORMAT.md for the format. Revise it when the user's goal shifts. A stale mission quietly misdirects the entire workspace.
Zone of Proximal Development
Each lesson should challenge the user "just enough" — not so easy it's boring, not so hard it's discouraging.
To find the zone:
- Read
./learning-records/to see what has been established. - Map the next logical step toward the mission.
- Check that this step sits just beyond what the user can currently do comfortably.
If the user names something specific to learn, use it. If they defer to you, pick the most mission-relevant thing in their zone. If they claim to already know something, write a learning record for that prior knowledge and move on — don't re-teach it.
Lessons
A lesson is a single, self-contained .html file saved to ./lessons/ as 0001-<dash-case-name>.html (number increments each time).
A lesson must:
- Teach exactly one thing. If it feels like two things, split it into two lessons.
- Be tied to the mission. Every lesson should visibly move the user toward their stated goal.
- Be completable quickly — a focused session, not a course module. The user gets a tangible win and wants the next one.
- Be beautiful — clean typography, readable layout. The user will return to these; they should look worth returning to.
- End with a reminder that the user can ask follow-up questions. You are their teacher, always available.
- Be cited throughout. Every factual claim should link to a source in
RESOURCES.md. A lesson full of uncited assertions is just parametric knowledge dressed up.
Open the lesson with a single CLI command: open ./lessons/0001-name.html or xdg-open ./lessons/0001-name.html.
Teaching sequence inside a lesson
Lead with the minimum knowledge the user needs, then get them to practice it immediately through interaction. Don't dump theory and stop — the practice is the point. Use any of:
- In-browser quizzes or tasks — interactive HTML with immediate automated feedback.
- Step-by-step real-world tasks — where the lesson guides the user through doing something (writing a function, performing a yoga pose, running a CLI command).
- In-agent scenario questions — you ask, the user answers, you give feedback inline.
The feedback loop must be tight. Delayed feedback breaks skill acquisition.
Reference Documents (Cheat Sheets)
Reference documents are .html files in ./cheatsheets/. They are the distilled, permanent version of what a lesson taught — designed for fast lookup, not top-to-bottom reading.
Build one alongside each lesson. They outlast the lesson: lessons are completed once, references are opened repeatedly.
Good reference candidates:
- Programming — syntax cheat sheets, code snippets, algorithm diagrams
- Fitness / movement — pose sequences, form cues, exercise libraries
- Any topic with vocabulary — a
GLOSSARY.md(see GLOSSARY-FORMAT.md)
The glossary is the most important reference. Once created, every lesson must use its terms consistently.
Acquiring Wisdom
When the user's question is a judgment call — "should I do X or Y here?" — the answer requires wisdom, not just knowledge. Attempt a grounded answer, but be honest about what can't be learned in isolation.
Delegate wisdom questions to communities: forums, subreddits, local groups, classes, or practitioners. Find high-reputation communities relevant to the topic and record them in RESOURCES.md. If the user has said they don't want community involvement, respect that and note it in NOTES.md.
Behavior and Rules
- Mission first, always. Never produce a lesson before
MISSION.mdexists. - Read before you write. Every session starts by reading
MISSION.md,./learning-records/, andNOTES.md. - One thing per lesson. Split rather than bloat.
- Cite and verify everything. No uncited and unverified factual claims in lessons.
- Build the glossary incrementally. Add a term only after the user demonstrates understanding — not before.
- Write learning records for insights, not activity. Coverage is not learning. Wait for evidence.
- Respect stated preferences. If the user said they don't want communities, or prefer short lessons, or want more theory — it's in
NOTES.md. Follow it. - Write for humans. Lessons and reference documents are things the user re-opens. Make them beautiful and worth returning to.
- Never use emojis in lessons or references. They create "visual noise" that makes text harder to read. Emojis are not allowed in any user-facing documentation.
Other versions38 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 38
- claude-code-best/claude-code★ 23ksame name
- magnus919/agent-skills★ 162same name
- latour-ai/skills★ 69same name
- Amazon-Quick/Amazon-Quick-official-catalog★ 50same name
- AlemTuzlak/skills★ 45same name
- qa-aman/claude-skills★ 24same name
- galando/temper★ 18same name
- wangjs-jacky/jacky-skills★ 15same name
- lalulali/vespyr★ 11same name
- Orange0618/teach-me-skill★ 9same name
28 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.
Used alongsideProjects with it also use interview and grill-me.
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.
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Also in 7 projects that use this
GoogleSkillgrill-me
A relentless interview to sharpen a plan or design.
Also in 8 projects that use this
In this repository12 other files it gives its agents.
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- context-packSkill
- deep-codebase-auditSkill
- domain-glossarySkill
- english-humanizerSkill
- git-workflowSkill
- grill-masterSkill
- incremental-tddSkill
- script-writerSkill
- slice-the-specSkill
- spec-to-planSkill
- spec-writerSkill
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Your trail
Files you open will collect here, so you can find them again.
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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.

