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jcmrs

jcmrs

5 Skills published on GitHub.

Procedural Memory System

This skill should be used when the user asks to "reflect on patterns", "generate rules from sessions", "consolidate memory", "analyze session patterns", "learn procedures and workflows", "create procedural knowledge", or mentions memory consolidation, process learning, or long-term knowledge retention. Provides systematic extraction of procedures, processes, and workflows from conversational history with automatic rule generation.

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documentation-query

Access official collaboration platform documentation organized by platform components, protocols, and core competencies. Use when user asks about platform capabilities, how the framework works, or when Claude Code needs to reference architecture, implementation patterns, or best practices to answer questions accurately.

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Profile Creator

Knowledge engineering pipeline that transforms messy human intent and repository analysis into living operational domain profiles

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Running Log

Persistent schema-driven running log with three-component architecture - quick-capture ideas, AI auto-detection, and backlog review librarian

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Semantic Translation

This skill should be used when the user uses ambiguous terminology like "make it talk", "we need an api", "make it portable", "check for gaps", asks meta-questions like "am I making sense?", "does this make sense?", mentions being a "non-technical user", uses vague action verbs ("make it work", "do the thing"), mixes domain languages, uses invented terms, or when detecting semantic drift between human natural language and technical precision. Provides semantic translation, disambiguation, and domain knowledge mapping across Autogen, Langroid, MCP (Model Context Protocol), UTCP (Universal Tool Calling Protocol), FastAPI, Git/Gitflow, SRE (Site Reliability Engineering), and Memory Graphs domains. Bridges the gap between user intent and technical specificity through ontological translation.

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