performance-auditor

Expert assistant for monitoring and optimizing performance in the KR92 Bible Voice project. Use when analyzing query performance, optimizing database indexes, reviewing React Query caching, monitoring AI call costs, or identifying N+1 queries. Helps diagnose slow operations across database, frontend, and AI systems.

الانتقال إلى التثبيت

المستودع: Spectaculous-Code/raamattu-nyt
آخر نشاط في المصدر: ٢٨ يوليو ٢٠٢٦ في ٠٦:٤٢
لغة SKILL.md المكتشفة: الإنجليزية
النجوم: ٠
التفرعات: ٠

خيارات التثبيت

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

التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.

يتجاوز الأمر المباشر Prompt المخصّص للمراجعة. افحص المصدر قبل تشغيله.

npx skills add https://github.com/Spectaculous-Code/raamattu-nyt --skill performance-auditor

يبقى الأمر في سطر واحد. مرّر أفقيًا لمراجعته كاملًا قبل النسخ.

تفضّل نسخة محلية؟ نزّل الملفات المتاحة حاليًا لدى SkillsMP.

مراجعة ملفات المصدر

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

مستكشف الملفات

9 ملفات

SKILL.md

تعليمات المصدر · معاينة للقراءة فقط

العودة إلى البحث العودة إلى التثبيت

docs-updater

Keeps documentation synchronized with code: API/architecture docs, README, CLAUDE.md, the AI index manifest (Docs/ai-index/manifest.yml — domains, task_playbooks, generated catalogues), ASCII flow diagrams, feature/system explanations, and reporting changes to the Obsidian vault. Use when (1) updating or generating docs, (2) updating the AI index / manifest ("ai index", "päivitä manifesti", "add domain/task playbook", "regenerate catalog"), (3) drawing ASCII flow/workflow diagrams ("piirrä kaavio"), (4) explaining how something works ("miten toimii", "selitä arkkitehtuuri"), or (5) reporting to Obsidian ("vault", "raportoi obsidianiin").

2026-08-11

topic-manager

Manage biblical topics in Raamattu Nyt. Use for creating/editing topics + Finnish translations, topic relations (related/opposite/broader/narrower), validating FI translations & pronunciations (Voikko/Omorfi), reviewing qa_status='unchecked', bulk translation updates, aliases/synonyms, fixing mistranslated FI topic names, and the taxonomy tree (parent_id hierarchy, roots, orphans, cycles, re-parenting after merges). ALSO the structured topic schema (`structured_schema`): type templates, claims + sources, the async generation queue (/ohjaamo/topics/generation), draft review, and the Matthew Henry claim-verification pass — plus the PLANNED verse schema generated from Matthew Henry (design lives in Obsidian, not yet in code). ALSO the source corpora behind topic content — which reference work feeds which column, where the local files live (`Docs/data/`), and how to expand ISBE coverage without re-scraping. Triggers: aihe, topic, teema, taksonomia, hierarkia, alias, merge/yhdistäminen, aiheskeema, jae-skeema, str

2026-08-11

verse-topic-tagger

Analyse a Bible verse's topic areas and link verses to topics in Raamattu Nyt (bible_schema.topical_references — the jae↔aihe link table). Use for: (1) tagging a single verse/passage — given a reference, find/assign its topics and insert topical_references; (2) per-book/chapter COVERAGE scans for under-tagged verses; (3) junk/QA CLEANUP of bad references (over-wide range refs, cluster bleed, wrong scope); (4) SOURCE-based rematch from easton_articles / smiths_articles to topical_references. Triggers: "tägää jae", "liitä jae aiheeseen", "jakeen aihealueet", "analysoi jakeen aiheet", "aihekattavuus", "topical_references", "roskaviite", "junk ref", "cluster bleed", "coverage gap", "Easton/Smith rematch", "verse topic tagging". Also owns (5) the VERSE SCHEMA (jae-skeema) — Matthew Henry turned into a structured Finnish exposition per outline point, and the verification of its claims against the bounded English source; triggers: "jae-skeema", "jakeiden skeema", "Matthew Henry", "rakenteinen suomennos", "structured

2026-08-11

عرض الكل من هذا المستودع

name	performance-auditor
description	Expert assistant for monitoring and optimizing performance in the KR92 Bible Voice project. Use when analyzing query performance, optimizing database indexes, reviewing React Query caching, monitoring AI call costs, or identifying N+1 queries. Helps diagnose slow operations across database, frontend, and AI systems.