Guides designing qualitative studies, developing coding schemes, and performing thematic analysis using grounded theory, phenomenology, and reflexive protocols for trustworthiness.
From co-researchernpx claudepluginhub poemswe/co-researcher --plugin co-researcherThis skill uses the workspace's default tool permissions.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Migrates code, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to Opus 4.5, updating model strings on Anthropic, AWS, GCP, Azure platforms.
Details PluginEval's skill quality evaluation: 3 layers (static, LLM judge), 10 dimensions, rubrics, formulas, anti-patterns, badges. Use to interpret scores, improve triggering, calibrate thresholds.
<output_format>
Framework: [Phenomenology/GT/TA/etc.] | [Justification]
Sampling & Saturation: [Strategy] | [Target N + Saturation criteria]
Analysis Findings (if data provided):
Reflexivity Statement: [Researcher's positionality and potential influence]
Trustworthiness Assessment: [Confidence level in findings] </output_format>
<checkpoint> After the initial guidance, ask: - Should I develop a more detailed coding dictionary based on your data? - Do you want to explore "Member Checking" or "Peer Debriefing" strategies? - Should I analyze the potential for "Leading Questions" in your interview guide? </checkpoint>