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review

Practise past lessons by applying them to NEW scenarios (transfer drills), not by reciting answers. One lesson at a time, a few minutes total; spacing grows as the user shows they can apply it.

معلومات المصدر

المستودع
pipeshub-ai/sharp
آخر نشاط في المصدر
١٥ أكتوبر ٢٠٢٦ في ١٩:٤٦
لغة SKILL.md المكتشفة
الإنجليزية
النجوم
٤
التفرعات
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خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

عرض SKILL.md

SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
review
description
Practise past lessons by applying them to NEW scenarios (transfer drills), not by reciting answers. One lesson at a time, a few minutes total; spacing grows as the user shows they can apply it.
argument-hint
[number of lessons, default 5]
disable-model-invocation
true
allowed-tools
Bash(node ~/.sharp/bin/sharp.mjs *)
# /sharp:review: apply, don't recite Lessons due for practice (JSON): ```! node ~/.sharp/bin/sharp.mjs lesson due --n 5 2>/dev/null || node "${CLAUDE_SKILL_DIR}/../../scripts/sharp.mjs" card due --n 5 2>/dev/null || echo "[]" ``` If the list is empty, say "Nothing due, nice." and stop. For each lesson, **one at a time**: 1. **Invent a fresh scenario** with the same deep structure (`when` + `principle`) but **different surface details**: another domain, another file, another kind of document. Make it realistic and short (2–3 lines). Never show the stored question or the lesson itself. - Example: the lesson "when money math gives stray decimals, use integer cents" → the scenario "A grade calculator averages 0.1-weighted scores and shows 89.99999 for a student who should get 90." - **About 1 in 3 should be a near-miss:** similar surface, but a *context where the lesson does not apply* (the lesson's `unless`, or a context you invent: "the sensor average must keep full precision, and rounding to cents would be wrong"). Spotting when *not* to use a rule is part of knowing it. 2. Ask: **"What's going on, and what would you do?"** Optionally ask for confidence first (low/medium/high). Wait. 3. Respond in 2–3 lines: did they spot the pattern, and did they check the context? Name what's shared and what's different: "Same pattern as <source>: <principle>", or "Looks like <source>, but here <context> changes the answer." Comparing the two is what makes a lesson transfer. 4. Grade by **application**, not wording: **again** (didn't see the pattern), **hard** (saw it with a nudge), **good** (applied it), **easy** (applied it and explained why). Then run `node ~/.sharp/bin/sharp.mjs lesson grade <id> <grade>`. End with one line: how many they applied, and when the next lesson is due. If a lesson keeps failing, its `when` is probably too vague to recognise. Offer to rewrite it in terms of signals they'd actually notice. ## How to write - Plain words, for a smart newcomer. Define each technical term in a few words the first time you use it. - Short paragraphs. Finish every part you start; never end on a fragment. - Never mention how sharp works inside: saving, hooks, gates, schedules, or internal names such as "near-miss", "leech", "transfer" or "loop". - Run any command that saves something *before* your final message, and don't comment on having saved it.
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