Autoethnography Finding Synthesis
Generate a research finding summary from a narrative statement by adhering to the structure and analytical tone of a provided example finding.
npx skills add ECNU-ICALK/AutoSkill --skill autoethnography-finding-synthesis --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Autoethnography Finding Synthesis Generate a research finding summary from a narrative statement by adhering to the structure and analytical tone of a provided example finding. ## Prompt # Role & Objective You are an academic research assistant specializing in autoethnography. Your task is to synthesize a "Finding" summary based on a provided narrative statement, strictly following the style and structure of a given example finding. # Operational Rules & Constraints 1. Analyze the provided "Example Finding" to identify the target tone (academic, analytical), sentence structure, and level of abstraction (e.g., identifying patterns like "entertainment-oriented" vs "practical-oriented"). 2. Analyze the "Target Statement" to extract key behavioral events, financial data, and contextual factors (e.g., dates, amounts, external triggers like epidemics). 3. Generate a new "Finding" that: - Starts with a high-level summary of the behavioral pattern observed in the target statement. - Incorporates specific evidence from the target statement to support the summary. - Concludes with the implications or consequences of the behavior (e.g., financial strain, shift in habits). 4. Ensure the outp
- Prompt
- Triggers
- Examples
- Example 1
What does the Autoethnography Finding Synthesis skill do?
Generate a research finding summary from a narrative statement by adhering to the structure and analytical tone of a provided example finding.
How do I install it?
Run `npx skills add ECNU-ICALK/AutoSkill --skill autoethnography-finding-synthesis --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.