teach
Skill1 starsChanged 3 months agoMITView on GitHub
Teach a concept or skill through a plain explanation, worked example, active recall, and bounded practice. Use when the user asks to learn, understand, practise, study, or be quizzed—not for a quick reference answer alone.
193 other projects use a version of this.
Adopted by
Most recently taken up by
- Yeachan-Heo/oh-my-claude-sisyphustheir own version, first seen Nov 8, 2026
- xiaoxiaosrm/dsh-mattpocock-skillstheir own version, first seen Nov 8, 2026
- caidanw/skillstheir own version, first seen Nov 8, 2026
- Yeachan-Heo/oh-my-claudecodetheir own version, first seen Nov 8, 2026
- The-Vibe-Company/quivrtheir own version, first seen Nov 8, 2026
- GrowthX-Club/teachtheir own version, first seen Nov 8, 2026
Used with
Projects with it also use setup-pstack, principle-explain-the-number 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.
bnemaSkillsetup-pstack
Configure which Pi models pstack uses per role. Detects available provider/model specs and writes pstack's user configuration. Use for /setup-pstack, "configure pstack models", or changing pstack model choices.
Also in 22 projects that use this
ianclearySkillprinciple-explain-the-number
Apply before you trust, report, or act on a number you measured: a speedup, a regression, a throughput, a latency, or an eval result. Find what limits it, and rule out that it measured something other than the work you think.
Also in 25 projects that use this
jaydubya818Skillpoteto-mode
Use when non-trivial work should follow the smallest rigorous Jstack workflow.
Also in 27 projects that use this
eryzerzSkillmake-bot-ui
Use when building a custom UI (page, dashboard, buttons) that should wake a Grok Bot over a webhook, when the user must provide a webhook sender key, or when exposing that UI on Tailscale.
Also in 17 projects that use this
jaydubya818Skillprinciple-never-block-on-the-human
Apply when safe reversible implementation details can proceed inside scope.
Also in 36 projects that use this
ianclearySkillpoteto-help
Guides users through pstack setup, /poteto-mode, and picking the skill, playbook, or principle for a task. Type /poteto-help with a question.
Also in 12 projects that use this
- +6 more from jaydubya818
Other versions193 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 193
- mattpocock/skills★ 309ksame name
- Yeachan-Heo/oh-my-claude-sisyphus★ 41ksame name
- Yeachan-Heo/oh-my-claudecode★ 41ksame name
- QuivrHQ/quivr★ 40ksame name
- The-Vibe-Company/quivr★ 40ksame name
- GreyDGL/PentestGPT★ 16ksame name
- ArcReel/ArcReel★ 6.3ksame name
- vinvcn/mattpocock-skills-zh-CN★ 5.5ksame name
- withcoral/coral★ 4.9ksame name
- davidondrej/skills★ 4.3ksame name
183 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 repository24 other files it gives its agents.
- AGENTS.mdAGENTS.md
- architectureSkill
- browser-automationSkill
- cli-designSkill
- debugSkill
- experimentSkill
- gauntlet-loopSkill
- get-it-doneSkill
- grillingSkill
- handoffSkill
- implementSkill
- merge-conflictsSkill
- office-filesSkill
- planSkill
- project-contextSkill
- quick-modeSkill
- releaseSkill
- researchSkill
- reviewSkill
- skill-designSkill
- testSkill
- triageSkill
- wait-whatSkill
- writingSkill
The file
We split this skill into the rules it gives an agent
8 rules. 0 are common, 8 are distinctive, and 0 are very specific to this project.
0
Common
Most of the 161 edited versions we read keep these.
8
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 8
Use ASD-STE100-inspired short, active sentences, ISO 704-inspired stable terms and Diátaxis organisation when useful, without claiming …
- Distinctive: line 12
Path: Use a Diátaxis tutorial when useful.
- Distinctive: line 15
Mechanism: Use a Feynman-style explanation: familiar words, a plain mechanism and one concrete example explaining its key step.
- Distinctive: line 17
Example: Before unsupported novice or unfamiliar work, show a worked example.
- Distinctive: line 21
Retention: Use retrieval questions and spaced follow-up only when retention beyond the immediate task is a goal.
- Distinctive: line 26
When the requested teaching artifact is an agent-facing procedure, apply the same mechanism, chunking, and worked-example methods.
- Distinctive: line 32
Use BCP 14 only for normative force.
- Distinctive: line 33
Before risky work, warn, add any needed hold point and verify the safe state.
“Common” is measured: kept by at least 6 in 10 of the 161 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
Communication kernel
Number ordered actions; group long lists without hiding required items. After interruption or task change, restore relevant completed/current/pending state, not repetitive status each turn. Preserve language, exact tokens, formats, permissions and evidence. Never invent estimates or diagnose readers. Show verified outcomes and factual errors; give a concrete next action only if work remains. Trusted root AGENTS.md governs when loaded; otherwise use this standalone fallback. Never claim root activation without evidence.
Use ASD-STE100-inspired short, active sentences, ISO 704-inspired stable terms and Diátaxis organisation when useful, without claiming formal conformance.
Lead with the answer or learning goal. Use only necessary detail. Omit routine Summary headings and closing recaps; place an optional, useful TL;DR first.
For substantial learning, apply CAST UDL Guidelines 3.0, the IES Organizing Instruction and Study practice guide, and established cognitive-load, worked-example, self-explanation, and retrieval-practice research in proportion to the task.
- Goal. State the learning goal. Infer prior knowledge safely from context. Distinguish immediate success, retention, transfer or their combination.
- Path. Use a Diátaxis tutorial when useful. Give a small map, then one guided chunk at a time. Connect new ideas to known ideas and concrete examples.
- Load. Signal structure, segment difficult material and remove irrelevant detail. Keep explanations beside the supported step or example.
- Mechanism. Use a Feynman-style explanation: familiar words, a plain mechanism and one concrete example explaining its key step. Preserve technical distinctions that change the result.
- Example. Before unsupported novice or unfamiliar work, show a worked example. Ask one short self-explanation question about its key step.
- Practice. Progress from a worked example to guided practice and one independent transfer task. Correct the smallest misunderstanding first; adapt support to observed performance.
- Alternatives. Offer another representation or path only when it removes a real learner barrier.
- Retention. Use retrieval questions and spaced follow-up only when retention beyond the immediate task is a goal.
- Next exercise. End substantive instruction with one useful exercise. Include the key takeaway only if not already clear; do not repeat an opening recap. For a quick explanation, answer directly and stop. Match depth to the learner's question and observed need. Do not force a quiz, full course, or unnecessary prerequisites. Concise delivery does not excuse shallow preparation or inaccurate explanation. During a short recall or quiz turn, ask or correct directly without forced headings. For a substantial lesson chunk or final synthesis, use headings only when they improve navigation and add distinct value.
Explain instructions to an agent reader
When the requested teaching artifact is an agent-facing procedure, apply the same mechanism, chunking, and worked-example methods. Name the input, action, expected result, and failure branch from the source. Explain why a difficult step satisfies the rule. Do not replace the rule with its example. Apply the main procedure's learner-practice steps when the requested goal is learning, retention, or transfer. An execution procedure does not justify interrupting the human user with a quiz, creating a course, or requiring another skill to load. Preserve explicit mandates, terms, links, source references, and exceptions when you explain them. User-facing:
- Report the supported result, next action or blocker, fresh verification, material uncertainty and remaining user action. Omit routine tool narration and praise.
- State verified failure and evidenced responsibility directly. Correct actual agent errors or give the next safe action.
- Preserve facts, negation, uncertainty, evidence limits, permissions, quotations, requested voice and exact artefact formats.
- Use BCP 14 only for normative force. Important requirements name one actor, action and observable check; do not invent mandates from advice.
- Before risky work, warn, add any needed hold point and verify the safe state. State the expected result, failure sign and recovery. Explain difficult mechanisms simply; use compliant/noncompliant contrasts only when helpful.
- For measurable work with a defensible total, show a named 20-cell ASCII bar, rounded down from processed items, separately from the verdict. Processed does not mean passed. Otherwise report the phase and evidence. Avoid surprise scope and leave the result usable or resumable.
Does it work?
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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.

