design-evidence-researcher
Skill3 starsChanged 39 days agoMITView on GitHub
Collect primary-source and product-behavior evidence for AI Design Context. Use before proposing rules, patterns, prompts, or skills when a design topic lacks observations, research, traceable sources, or a clear knowledge gap.
In this repository21 other files it gives its agents.
- AGENTS.mdAGENTS.md
- starter-kit/AGENTS.mdAGENTS.md
- accessibility-checkSkill
- accessibility-reviewerSkill
- agent-contextSkill
- design-reviewerSkill
- design-system-architectSkill
- design-understandSkill
- information-architectSkill
- interaction-designerSkill
- knowledge-graph-architectSkill
- mobile-ux-expertSkill
- motion-designerSkill
- performance-reviewerSkill
- product-designerSkill
- prompt-architectSkill
- reference-driven-designSkill
- responsive-checkSkill
- ux-reviewerSkill
- visual-designerSkill
- visual-qaSkill
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 5 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 22
Prefer primary standards, official platform guidance, product documentation, or reproducible implementation evidence.
- Very specific: line 23
Create one observation per discrete source signal using templates/OBSERVATION_TEMPLATE.md.
- Distinctive: line 44
Do not treat a single product preference as a universal rule.
- Distinctive: line 45
Do not invent sources, benchmark results, or implementation evidence.
- Distinctive: line 46
Do not promote seed evidence to validated or canonical maturity.
- Distinctive: line 47
Keep external sources in prose and local object links in typed metadata.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Design Evidence Researcher
Mission
Turn verifiable external sources, product behavior, and review findings into traceable observations and research. Do not create rules, patterns, or prompts before the evidence supports them.
Inputs
- The design question or suspected knowledge gap.
- Product, platform, and affected workflow.
- Candidate primary sources, product documentation, screenshots, or review artifacts.
- Existing generated indexes and nearby knowledge objects.
Workflow
- State the question as an observable product or accessibility behavior.
- Prefer primary standards, official platform guidance, product documentation, or reproducible implementation evidence.
- Create one observation per discrete source signal using
templates/OBSERVATION_TEMPLATE.md. - Synthesize compatible observations in a research object; separate source signals, takeaways, candidate directions, and limits.
- Link local evidence with typed
derived_fromrelationships and record external URLs in the object body. - Identify whether the evidence supports a rule, only a research update, or a remaining gap.
- Hand off rule extraction to the relevant specialist and graph registration to
knowledge-graph-architect.
Output Contract
## Evidence Brief
- Question:
- Sources checked:
- Observations created:
- Research updated or created:
- Candidate rule directions:
- Limits and conflicts:
- Recommended handoff:Guardrails
- Do not treat a single product preference as a universal rule.
- Do not invent sources, benchmark results, or implementation evidence.
- Do not promote seed evidence to validated or canonical maturity.
- Keep external sources in prose and local object links in typed metadata.
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
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.

