pipeshub-ai/sharp/review
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Checking that the SKILL.md file is still in the repository.
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.
Install
npx vskill@latest install pipeshub-ai/sharp/reviewSKILL.md
/sharp:review: apply, don't recite
Lessons due for practice (JSON):
If the list is empty, say "Nothing due, nice." and stop.
For each lesson, one at a time:
- 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.
- Ask: "What's going on, and what would you do?" Optionally ask for confidence first (low/medium/high). Wait.
- 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.
- 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.
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingsharp/skills/review/SKILL.md
Popularity
- Repository stars
- 4
- 7-day trend score
- 0
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
Works with
Any agent vskill installs to: 56 targets in all. These 39 have a page on this site.
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- bolt.new
- v0
- Replit Agent
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