agentic-ux
Skill1 starsChanged 2 months agoMITView on GitHub
Design understandable, controllable, and trustworthy human-agent experiences. Use for copilots, tool-calling agents, generated artifacts, background work, approvals, multi-agent systems, persistent memory, streaming, or long-running workflows.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- carlosvin/tanstack-fullstack-ai-templatetheir own version, first seen Oct 13, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- carlosvin/tanstack-fullstack-ai-template★ 3same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository34 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- accessibility-auditSkill
- benchmarkSkill
- capability-routerSkill
- codex-adapterSkill
- context-handoffSkill
- create-prdSkill
- creative-direction-sprintSkill
- decompose-prdSkill
- design-criticSkill
- design-engineering-qualitySkill
- design-intakeSkill
- design-opsSkill
- design-system-auditSkill
- design-systemSkill
- design-tokensSkill
- discoverSkill
- harness-evolutionSkill
- interaction-designSkill
- loop-engineeringSkill
- parallel-planSkill
- performance-uxSkill
- polishSkill
- product-design-routerSkill
- project-onboardingSkill
- research-ledgerSkill
- responsive-auditSkill
- security-gateSkill
- self-improvement-loopSkill
- specialist-routerSkill
- strategizeSkill
- token-auditSkill
- user-needsSkill
The file
We split this skill into the rules it gives an agent
1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Do not default to a chat box.
≈ “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
Agentic UX
Do not default to a chat box. Define:
- what the agent knows, plans, is doing, and has changed;
- idle, planning, queued, running, streaming, tool, approval, interrupted, partial, failed, retrying, complete, and handoff states;
- user control: edit plan, approve, deny, pause, interrupt, undo, retry, correct;
- trust: provenance, citations, confidence boundaries, permissions, previews, irreversible-action warnings, and memory visibility;
- artifacts, background work, notifications, collaboration, and recovery.
Minimize anthropomorphism that obscures system state. Show enough process for users to predict consequences without dumping raw reasoning or logs. Test partial success and loss-of-connection paths, not only the ideal completion.
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.