Fetch, compute, and format religious observance calendars for the three in-scope Abrahamic traditions of the Abrahamic Reference Engine: Judaism, Christianity, and Islam. Use this skill whenever an agent needs to retrieve religious holiday data, generate iCalendar (.ics) output, look up holiday descriptions for cross-tradition audiences, or produce a unified observance event list. Covers Hebcal API (Jewish), AlAdhan API (Islamic), TypeScript Computus algorithm (Christian -- Western and Orthodox), Wikipedia summary fetching for event descriptions, .ics file generation, emoji assignments, holiday filter lists, and session caching strategy. All data sources are free, public, and require no API key. Zero cost. MIT license. Also activate when a user asks to "add holidays to my calendar app", "download religious observances as .ics", "show Jewish/Islamic/Christian holidays for a year", or compute Easter dates -- including when they ask for "all three faiths" or any single tradition's observance list.
Fetch or integrate scripture passages from Judaism, Christianity, or Islam through the ARE free anonymous providers. Use for verse lookup, API endpoint and reference-format questions, translation IDs, normalization, attribution, error handling, fallback routing, or denomination-aware scripture UI work. Covers Sefaria, bible-api.com, Quran.com with AlQuran.cloud fallback, and LDS Standard Works routing. Never invent text or silently change translations.
Build, audit, and improve OpenAI Custom GPTs with production-grade methodology. Use this skill when the user asks to create, configure, test, evaluate, audit, improve, troubleshoot, compare, document, or package a Custom GPT or reusable ChatGPT workflow. Also use it for GPT Builder instructions, knowledge files, Actions, Apps/connectors, GPT Store readiness, Gemini Gem comparison, Copilot declarative-agent comparison, or conversion between Custom GPTs and Agent Skills.
Plan conversion of an existing Custom GPT into a portable Agent Skill. Use when a GPT already has instructions, knowledge files, actions, conversation starters, test prompts, or usage history and the user needs a capability map, semantic-loss analysis, reusable skill boundary, migration plan, or handoff to okhp3-skill-foundry.
Create governed FoundRy child repositories from Custom GPTs, Gemini Gems, Copilot agents, prompt bundles, Notion concepts, research notes, or prototype ideas. Use whenever the user wants to migrate an AI capability into GitHub, standardize a repo, create a child repo scaffold, or convert platform-specific AI work into a reusable capability package.
Use this skill whenever an agent needs to export, capture, ingest, summarize, route, deduplicate, or reconcile a conversation or content artifact into Notion. It guides connector-enabled agents through choosing a Notion page versus database destination, resolving a workspace-specific URL or ID, inspecting page content or data-source schema before writing, mapping thread metadata and reusable extracts, creating or updating records safely, and verifying the result. Trigger for ChatGPT, Claude, Perplexity, Copilot, Gemini, PDF, Markdown, transcript, knowledge-base, Notion API, Notion connector, page, database, data source, or thread-export requests, even when the user does not name this skill.
OverKill Hill P³ skill cataloger. Inventory and validate repository-local Agent Skills, then safely regenerate a marked README catalog and machine-readable catalog metadata. Use when asked to list, audit, version-check, validate, or refresh skills under .agents/skills/, or to index a distribution repository’s root family folders. Choose catalog mode for a project surface and explicit --full mode for a distribution index; use --check or --dry-run when no file changes are authorized.
OverKill Hill P³ Skill Foundry -- complete eight-phase methodology for creating, honing, and polishing production-quality Agent Skills. Activate when asked to create a new skill from scratch, hone or polish an existing skill, apply OKHP3 brand attribution, design live evals, run executor subagents for benchmarking, grade responses with evidence-anchored expectations, compute benchmark deltas, or iterate based on eval failures. Also activate when someone wants to turn a workflow into a distributable skill, needs to benchmark a skill's with-skill vs without-skill gap, wants a professional quality bar for a SKILL.md, or asks about the OKHP3 skill authoring process. This is the authoritative Foundry methodology for any skill creation or honing work in this repo -- use it even when the user just says "make a new skill" or "improve this skill" without mentioning the Foundry by name.