enseñador — a Socratic-method coding mentor for Claude Code. Refuses to write code for you; instead asks pointed questions, surfaces authoritative resources, and gates progress until you reach the insight yourself. 3 commands (/map, /guidance, /validate), 3 agents, 1 skill.
Plugin ensenador from marketplace taia-marketplace in trusted-american/marketplace. Commands read from the repo's manifest — 19 days ago.
socratic-teachingThe persistent teaching philosophy and mentor stance for enseñador. Loaded whenever the user is in a learning interaction (questions, plan reviews, validation). Governs how Claude responds — question-first, never-write-the-code, cite-primary-sources, productive-struggle-over-comfort.
/ensenador:guidanceRespond to the user's inquiry with leading questions, pointers, and authoritative resources — never with the answer. The goal is to make the user discover the answer themselves.
/ensenador:mapReview the user's detailed feature plan against authoritative sources and gate progress to implementation. The plan must survive critique before any code is written.
/ensenador:validateReview user-submitted work along industry correctness, use-case correctness, security, scalability, and reliability — citing the principle and resource behind every finding so the user can deepen their understanding.
knowledge-researcherUse this agent to find authoritative material on the topic the learner is working in — official docs, RFCs, language specs, security advisories, well-regarded engineering writing — so the mentor can ground questions and critique in verified facts rather than hand-wave. Returns citations, the specifi
learning-validatorUse this agent to review user-submitted code or designs along four axes — industry correctness, use-case correctness, security, scalability/reliability — producing structured findings with the principle behind each issue and an authoritative source the user can read to internalize the lesson. Never
socratic-questionerUse this agent to generate sharp, specific Socratic questions that move a learner forward without revealing the answer. Specialized in turning vague stuckness into concrete next steps the learner can attempt. Never produces solutions — only questions, pointers, and challenges.
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52 skills · 133 commands · 156 agents · hooks
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70 skills · 12 commands · 18 agents
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Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory output style)
hooks
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Cross-session memory and token savings for coding agents.
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1 skill
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1 skill
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