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Plan, run, and record source-grounded literature or web research for the dissertation, with search questions, source screening, evidence boundaries, citation readiness, and knowledge-base updates.
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
Design and review active learning implementation support for university teachers, including classroom activity structures, preparation workflow, student participation, assessment alignment, and AI-agent support points.
Turn dissertation evidence into an AI agent design specification for supporting active learning implementation, including user scenarios, functions, interaction flow, boundaries, failure modes, and design rationale.
Synthesize confirmed co-design, design-elicitation, prototype-feedback, or participant-generated design outputs into requirements, design principles, prototype changes, participant contribution maps, and design decision logs.
Design specifications for dissertation figures such as conceptual frameworks, concept-card/interview process diagrams, AI-agent workflow diagrams, adoption-condition models, and findings maps.
Maintain a lightweight dissertation research wiki with project memory, literature notes, methodology decisions, supervisor feedback, design rationale, and open questions.
Audit an AI agent prototype or design concept for usability, pedagogical fit, teacher feedback, active learning support, evidence quality, and next design iterations.
| name | dissertation-research-search-protocol |
| description | Plan, run, and record source-grounded literature or web research for the dissertation, with search questions, source screening, evidence boundaries, citation readiness, and knowledge-base updates. |
Use this skill when searching, screening, or synthesizing literature, websites, LMS/module sources, supervisor resources, policy guidance, or other external sources for the dissertation.
Turn broad research needs into a traceable source workflow. This skill adapts the ECC deep-research idea to dissertation work: split the search, verify sources, separate evidence from inference, and update the local knowledge base.
Before searching, define:
If the task needs current or exact external information, browse and cite sources. Prefer primary sources, official policy pages, publisher pages, DOI records, module pages, and peer-reviewed articles.
Use these default clusters unless the user narrows the scope:
For each source, record:
METADATA VERIFIED, ABSTRACT REVIEWED, FULL TEXT REVIEWED, WEBSITE REVIEWED, or NEEDS VERIFICATIONUse CONTEXTUAL SOURCE / NOT PEER REVIEWED for websites or supervisor resources that help thinking but should not support formal empirical claims.
INFERENCE label.confirmed information, interpretation, and next search needed.dissertation-learning-loop after useful new sources are screened so reusable knowledge reaches the source register, literature map, Obsidian, or open-question list.Update these when useful:
knowledge-base/SOURCE_REGISTER.mdknowledge-base/ACADEMIC_SEARCH_LOG.mdresearch-wiki/LITERATURE_MAP.mdresearch-wiki/OPEN_QUESTIONS.md<OBSIDIAN_VAULT_PATH>/03_Literature/Sources/Use this compact structure:
结论:
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Search scope:
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Confirmed sources:
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Useful but limited sources:
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Evidence boundary:
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Next reading:
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