agentleFS
henrique-simoeshenrique-simoes/Istara/skills/develop/concept-testing/SKILL.md

concept-testing

Skill15 starsChanged 46 days agoMITView on GitHub

Structure concept test protocols, analyze reactions, preference rankings.

The file

Files
SKILL.md

Concept Testing

Structure concept test protocols, analyze reactions, preference rankings.

Phase

Double Diamond: Develop

Type

Mixed research method

Workflow

  1. Plan — Generate a research plan with objectives, methods, and timeline
  2. Execute — Process input data (files, context) through the analysis
  3. Validate — Self-check findings against sources, score confidence
  4. Report — Structured output with nuggets, facts, insights, recommendations

Input

  • Project files (PDF, DOCX, TXT, CSV, MD)
  • Project and company context (auto-loaded)
  • User instructions and task context

Output

  • Nuggets with source references
  • Facts verified against evidence
  • Insights with confidence scoring
  • Actionable recommendations with priority/effort ratings

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.