from claude-education-skills211
Design a manageable, evidence-informed teacher inquiry cycle from question through data collection, analysis, and sharing to improve classroom practice.
Designs a complete, practical teacher inquiry cycle that helps educators turn a classroom question into an evidence-informed plan of action. The skill produces a structured inquiry design (research question, baseline measures, intervention plan, evidence collection strategy, analysis framework, and sharing plan) tailored to fit a teacher's workload and context. It emphasises impact-focused questions, manageable data collection, and multiple evidence sources so findings are useful and trustworthy.
Use this skill when starting action research, planning a professional inquiry, or testing a teaching change in-class. Ideal triggers include: planning a term-long intervention, evaluating a new instructional routine, designing department-level trials, or preparing a teacher-led research project for school improvement.
Best with agents that support long-form prompts and structured output (Claude-style assistants, workflow agents that can manage multi-step templates).
A well-structured education skill that guides teachers through designing practitioner inquiry cycles. No scripts or executable code — purely a prompt-based skill with detailed frontmatter, evidence foundation, input/output schemas, and a thorough example output. The SKILL.md is well-written with clear triggers and domain-specific guidance, but serves a very niche audience (K-12 teachers doing action research) and has no automation beyond prompt templating.
Clean skill with no security concerns whatsoever — no scripts, no network calls, no executable code. The SKILL.md itself is thorough and well-organized with proper frontmatter, evidence citations, input/output schemas, chains_well_with references, and a detailed worked example. Architecture follows the skill spec reasonably well with clear separation between metadata and prompt body. Usefulness is limited by its very specific audience — teachers conducting practitioner inquiry — which is a narrow use case in the broader AI agent ecosystem.
