ai-prompt-manager
Expert assistant for managing AI prompts, features, and configuration in the KR92 Bible Voice AI system. Use when creating AI prompts, configuring AI features, managing prompt versions, setting up AI bindings,...
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Expert assistant for managing AI prompts, features, and configuration in the KR92 Bible Voice AI system. Use when creating AI prompts, configuring AI features, managing prompt versions, setting up AI bindings,...
Expert assistant for testing the embeddable Bible widget functionality in the KR92 Bible Voice project. Use when creating widget tests, validating embed API responses, testing reference formats, checking audio...
Expert assistant for diagnosing and fixing Strong's concordance issues in the Raamattu Nyt project. Use when (1) debugging infinite loops or performance issues with Strong's lookups, (2) validating lexicon data...
Expert assistant for keeping documentation synchronized with code changes in the KR92 Bible Voice project. Use when updating API docs, maintaining architecture diagrams, syncing README, updating CLAUDE.MD, or g...
Expert assistant for creating and maintaining admin panel pages in the KR92 Bible Voice project. Use when creating admin pages, building admin components, integrating with admin navigation, or adding admin feat...
Implements the Ralph-loop pattern for iterative agent work using an orchestrator + fresh worker subagent + judge loop. Use when the user wants "keep iterating until it's done", retries until tests pass, or stru...
Save current conversation to persistent memory. Use when user says "save this", "remember this", "store this for later", or wants to preserve context for future sessions.
Generate daily standup notes from memory. Use when user says "standup", "daily report", "what did I work on", "summarize my day", or needs work summary.
List, create, or manage memory spaces. Use when user says "show my spaces", "create a space", "organize my memories", or wants to manage categorization.
Retrieve health history for informed decisions. Use when discussing medications, supplements, skincare, diet, fitness, or any health-related product evaluation.
Search and retrieve from memory. Use when user asks about past conversations, "what did we discuss", "find my notes about", "remember when", or needs historical context.
Implements concise, streamlined Python code matching exact architect specifications. Use when writing Python code, creating modules, or when the user asks to implement features in Python.
Provides concise, focused code reviews matching exact task complexity requirements. Use when reviewing code quality, security, or when the user asks for code review.
Designs concise, streamlined backend systems matching exact task requirements. Use when planning APIs, data models, system architecture, or when the user requests backend design work.
Debug PDF text extraction issues. Use when parser is producing wrong data, missing units, or garbled text from a PDF.
Understand data structures in the GCACW parser pipeline (raw tables, parsed units, web JSON). Use when debugging data issues, understanding field mappings between stages, checking column configurations, or inve...
Parse a new GCACW game PDF to extract scenario data. Use when adding a new game to the roster generator, extracting units from PDF tables, or setting up scenario names.
Regenerate web JSON data after parser changes. Use after modifying parse_raw_tables.py, game_configs.json, or convert_to_web.py, or when data needs refreshing.
Extract unit counter images from VASSAL game modules (.vmod files) for roster generation. Use when adding counter images to a game, setting up image mappings for units, or troubleshooting missing/mismatched uni...
Comprehensive code review using senior developer standards (YAGNI, DRY, avoiding god classes, data-driven architecture)
Code quality and CI requirements. Auto-triggered when discussing commits, PRs, or quality.
Optimize Claude prompts for clarity and effectiveness. Use when creating, refining, or reviewing commands, agents, skills, or system prompts.
Frontend/backend API contract definitions. Use for defining API endpoints, Pydantic to TypeScript mapping, schema validation, error responses, and pagination contracts.
Generate test boilerplate from code or specs. Use for creating new tests, setting up test files, pytest fixtures, page objects, and E2E test scaffolding.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.