Loading...
Loading...
Found 6 Skills
Interactive hypothesis-driven debugging with documented exploration, understanding evolution, and analysis-assisted correction.
This skill should be used when engineering decisions are being made during code implementation. The Archivist enforces decision documentation as a standard practice, ensuring every engineering choice includes rationale and integrates with Architecture Decision Records (ADRs). Use when writing code that involves choosing between alternatives, selecting technologies, designing architectures, or making trade-offs.
Working memory management, context prioritization, and knowledge retention patterns for AI agents. Use when you need to maintain relevant context and avoid information loss during long tasks.
Review the current session for errors, issues, snags, and hard-won knowledge, then update the rules/ files (or AGENTS.md if no suitable rule file exists) with actionable learnings.
Persistent memory that survives across conversations. Automatically remembers important context (API specs, decisions, quirks, preferences) and saves session summaries. Searches past knowledge before starting new tasks. Responds naturally to phrases like "remember this", "what do you know about...", "save this session", or "what did we do last time". All local, zero network.
Teach Claude ANY topic - code libraries, APIs, concepts, tools, methodologies, or domains. Researches via web and docs, then retains knowledge as a permanent skill. Use when user says "/learn <topic>", "learn about X", "teach yourself Y", "become an expert on Z". Examples - "/learn stripe" for payments, "/learn GTD" for productivity, "/learn israeli-tax-law" for domain knowledge.