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pipeshub-ai/sharp

Dernière activité source enregistrée
Catalogue SkillsMP mis à jour
skills collectés
14
Étoiles GitHub
4
Forks GitHub
0

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Skills dans ce dépôt

classification en attente

Affichage de 14 skills collectés sur 14.

métier
non classé
description

Write a Change Brief, a compact 6 Ws summary (What, Why, Who, Where, When, How) with the change's Impact and one insight worth remembering, after completing a substantial change or when the user asks what changed, for a PR description, or for the impact of a…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Offer or run 1-3 short retrieval questions about work just completed (why it works, what-if, where to look if it broke), grade the user's answers kindly, and save the reusable rule as a lesson that comes back when a similar situation appears. Use when sharp's…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Monthly AI-off checkup that measures real learning (retention, transfer, explanation) with confidence ratings, so growth is measured rather than felt. About 10 minutes.

Langue du texte source : anglais

mis à jour
métier
non classé
description

Decision journal and retrospectives. Lists one-way door decisions the user made, and replays ones that are due for review (what we expected vs what happened) to build calibrated judgment.

Langue du texte source : anglais

mis à jour
métier
non classé
description

Feynman technique. The user explains a topic, change, or decision in their own words; Claude finds the gaps, errors, and fuzzy parts without rewriting the explanation for them.

Langue du texte source : anglais

mis à jour
métier
non classé
description

Personal growth plan. Shows the user's growth map (topics they're learning, what's mature, what keeps slipping), sets focus areas for deliberate practice, sets a mentor, and drafts an optional note to share with that mentor.

Langue du texte source : anglais

mis à jour
métier
non classé
description

Fast, durable learning of a topic, tool, codebase area or concept using proven techniques (80/20 mental model, contrast pairs, predict-the-output drills, worked-to-faded examples, bug autopsies, three-level explanations, codebase tours). Saves the key rules…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Show or change sharp's coaching mode (off, light, coach, learn), its detail level (brief, standard, full), or pause coaching with ship mode for a few hours.

Langue du texte source : anglais

mis à jour
métier
non classé
description

Use before any irreversible or hard-to-reverse action or decision, so a human makes the call. Covers deleting data, destructive migrations, force-pushing shared branches, production deploys, publishing packages, sending messages to customers or outsiders,…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Explain reasoning from first principles in plain words after resolving a conflict (merge conflicts, contradictory requirements, sources that disagree, competing debugging hypotheses, stakeholder trade-offs) or after giving a non-trivial recommendation, answer…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Private reliance mirror. Summarizes how the user worked with AI over the last week (task types, coaching skipped, one-way doors, how well lessons transfer, lessons that keep slipping) and suggests one concrete habit for next week.

Langue du texte source : anglais

mis à jour
métier
non classé
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.

Langue du texte source : anglais

mis à jour
métier
non classé
description

Two-minute guided tour of the latest change so the user understands what changed and why, not just that it works. Before/after behaviour on a concrete example, the few lines that matter and why each exists, a predict-then-reveal question, and an optional…

Langue du texte source : anglais

mis à jour
métier
non classé
description

Before solving a debugging, design, or unfamiliar-topic task for a user in sharp coach or learn mode, ask for their own quick guess or approach first (generation effect), then solve and compare. Use when sharp's prompt hook suggests it, or when the user says…

Langue du texte source : anglais

mis à jour
Affichage de 14 skills collectés sur 14.

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