agent-interface-design
Skill0 starsChanged 4 months agoMITView on GitHub
Design tools, scripts, and CLIs that an agent will call, so the interface teaches its own use instead of a wall of prose and examples. Use when building an MCP server or tool definition, writing an agent-facing script, or when an agent keeps misusing a tool it already has.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- thewyattbrocato/design-and-copy-skillstheir own version, first seen Nov 8, 2026
- Neeeophytee/finding-unknowns-skillsword for word, first seen Sep 9, 2026
Other versions2 projects use a version of this.
Word for word · 1
- Neeeophytee/finding-unknowns-skills★ 339100% same
Edited · 0
None found.
Wrote their own version · 1
- thewyattbrocato/design-and-copy-skills★ 2same 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 repository138 other files it gives its agents.
- AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- .cursor/rules/context-budget.mdcCursor rule
- .cursor/rules/delegation-law.mdcCursor rule
- .cursor/rules/harness-doctrine.mdcCursor rule
- .cursor/rules/verification-law.mdcCursor rule
- agentloop-coreSkill
- agent-loopSkill
- blindspot-passSkill
- brainstorm-prototypesSkill
- change-quizSkill
- conductor-planSkill
- context-auditSkill
- context-compactSkill
- context-surgeonSkill
- contrastingSkill
- deployment-auditSkill
- doctorSkill
- harness-designSkill
- humaniseSkill
- implementation-notesSkill
- implementation-planSkill
- interview-meSkill
- no-ai-slopSkill
- optional-ponytailSkill
- opus-promptingSkill
- persistent-memorySkill
- pev-cycleSkill
- pitch-packagerSkill
- progressive-disclosureSkill
- quality-composeSkill
- reference-huntSkill
- seo-copywritingSkill
- ship-gateSkill
- subagent-swarmSkill
- ui-ux-auditSkill
- warroom-councilSkill
- writer-verifierSkill
- agent-interface-designSkill
- agentloop-coreSkill
- agent-loopSkill
- blindspot-passSkill
- brainstorm-prototypesSkill
- change-quizSkill
- conductor-planSkill
- context-auditSkill
- context-compactSkill
- context-surgeonSkill
- contrastingSkill
- deployment-auditSkill
- doctorSkill
- harness-designSkill
- humaniseSkill
- implementation-notesSkill
- implementation-planSkill
- interview-meSkill
- no-ai-slopSkill
- optional-ponytailSkill
- opus-promptingSkill
- persistent-memorySkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
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 17
Put behavioral instruction in the tool's own description, at the point of use, and only there.
- Distinctive: line 18
Treat the urge to add a usage example as a diagnostic: it usually means a parameter is underspecified.
- Distinctive: line 26
Never redesign a signature without first finding every existing caller.
≈ “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
Agent interface design
Examples teach one path and quietly fence off the others: shown three ways to call a tool, a model tends to produce those three. A well-designed interface teaches the whole space at once. The parameters say what is possible, the description says what is expected, and there is very little left to write.
Steps
- Find out how the tool is actually being misused before redesigning it. Read transcripts, logs, or the user's complaint. Misuse is an interface symptom first and a documentation symptom second, and the fix is usually a rename or a type, not a paragraph.
- Push meaning into the parameters:
- Enumerate instead of accepting free text. A status of
pending | in_progress | completedteaches the whole state machine without a sentence of prose. - Name for intent rather than implementation, so the right call is the one that reads correctly.
- Make invalid states unrepresentable wherever the type system allows it. A parameter that cannot express a mistake needs no warning about that mistake.
- Enumerate instead of accepting free text. A status of
- Put behavioral instruction in the tool's own description, at the point of use, and only there. The same guidance restated in a global preamble is how a codebase grows contradictions.
- Treat the urge to add a usage example as a diagnostic: it usually means a parameter is underspecified. Fix the interface first. Keep an example only for a format that genuinely cannot be guessed, such as a bespoke query syntax.
- Decide what is resident and what is discoverable. Tools needed on most turns belong in context; tools needed rarely should be findable on demand so they cost nothing until they're wanted.
- Finish by naming the mistake the design still permits, and say whether it is cheap enough to live with or needs an explicit guardrail.
Guardrails
- A description that has to explain what a parameter means is a parameter that needs a better name.
- Irreversible and high-stakes operations are the exception to all of the above: there, explicit constraint and confirmation beat elegance.
- Never redesign a signature without first finding every existing caller.
- Terseness is not the goal; expressiveness is. Cutting a description that carried real behavior is a worse outcome than a description that ran long.
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.

