Agent skill

Agent Interface Design

by Neeeophytee in Neeeophytee/finding-unknowns-skills

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.

MITAuto-check passedAI & LLM Engineering

Install Agent Interface Design

skills CLI
$ npx skills add Neeeophytee/finding-unknowns-skills --skill agent-interface-design -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install Neeeophytee/finding-unknowns-skills agent-interface-design --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/Neeeophytee/finding-unknowns-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-interface-design .claude/skills/agent-interface-design && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-interface-design
GitHub stars
343
Token cost
~650 tokens
SKILL.md length
369 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 6 steps: Find out how the tool is actually being… → Push meaning into the parameters → Put behavioral instruction in the tool's… → …
  • Building an MCP server
  • SKILL.md covers Steps and Guardrails
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agent Interface Design is an agent skill from Neeeophytee/finding-unknowns-skills. 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.

Its SKILL.md is about 650 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in AI & LLM Engineering, covering API design and Structured output and tool calling. It works with Model Context Protocol. The repository describes itself as: 14 installable skills for Claude Code, OpenAI Codex, and Hermes: find unknowns, clarify requirements, manage context, test assumptions, and verify bug fixes with regression… The licence is MIT.

When your agent uses it

  • Building an MCP server
  • Tool definition
  • Writing an agent-facing script
  • An agent keeps misusing a tool it already has

Example prompts

  • “/agent-interface-design”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Find out how the tool is actually being misused before redesigning it. Read transcripts, logs, or the user's complaint. Misuse is an…
  2. Push meaning into the parameters
  3. Put behavioral instruction in the tool's own description, at the point of use, and only there. The same guidance restated in a global…
  4. Treat the urge to add a usage example as a diagnostic: it usually means a parameter is underspecified. Fix the interface first. Keep an…
  5. Decide what is resident and what is discoverable. Tools needed on most turns belong in context; tools needed rarely should be findable on…
  6. Finish by naming the mistake the design still permits, and say whether it is cheap enough to live with or needs an explicit guardrail.

What it can do on your machine

Read from SKILL.md and the folder at commit ca5696a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent Interface Design loads about 650 tokens when it runs. Until then it costs about 74 tokens; SKILL.md has 369 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~74
When it runs · the whole SKILL.md, loaded when a task matches
~650

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from Neeeophytee/finding-unknowns-skills at commit ca5696a, republished under its MIT licence (© Neeeophytee). 369 words, ~650 tokens.

Download SKILL.mdSave it as .claude/skills/agent-interface-design/SKILL.md (or your agent's skills folder).
name
agent-interface-design
description
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.

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

  1. 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.
  2. Push meaning into the parameters:
    • Enumerate instead of accepting free text. A status of pending | in_progress | completed teaches 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.
  3. 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.
  4. 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.
  5. 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.
  6. Finish by naming the mistake the design still permits, and say whether it is cheap enough to live with or needs an explicit guardrail.
Show full SKILL.md (72 more words)Show less

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.

© Neeeophytee, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/agent-interface-design of Neeeophytee/finding-unknowns-skills.

Open the folder on GitHubat commit ca5696a

Compare with similar skills

Agent Interface Design next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agent Interface Design compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Interface Design this skillNeeeophytee/finding-unknowns-skills343—~650Automated safety check: PassMIT
Agent Protocolborghei/Claude-Skills881—~1.6kAutomated safety check: PassMIT
Ax Gendosco/aithy107—~5.4kAutomated safety check: PassApache-2.0
Agent Tool Builderomer-metin/skills-for-antigravity162—~705Automated safety check: PassApache-2.0
MCP Server Builder with mcp-usemcp-use/mcp-use11k—~923Automated safety check: PassApache-2.0
Perfupraullenchai/Rapid-MLX3.9k—~1.6kAutomated safety check: NotesCustom licence

Similar skills

  • Agent Protocol

    borghei/Claude-Skills

    Design AI agent communication protocols: MCP tool schemas, A2A, function calling, and inter- agent messaging.

    881 GitHub stars~1.6k tokensUpdated today
    AI & LLM EngineeringAuto-check passed
  • Ax Gen

    dosco/aithy

    This skill helps an LLM generate correct AxGen code using @ax-llm/ax.

    107 GitHub stars~5.4k tokensUpdated 1 mo ago
    AI & LLM EngineeringAuto-check passed
  • Agent Tool Builder

    omer-metin/skills-for-antigravity

    Tools are how AI agents interact with the world. An agent skill from omer-metin/skills-for-antigravity.

    162 GitHub stars~705 tokensUpdated 8 mo ago
    AI & LLM EngineeringAuto-check passed
  • Builds, modifies, debugs, migrates and verifies TypeScript MCP servers and MCP Apps with the mcp-use framework, treating the installed package's types as the source of truth.

    11k GitHub stars~923 tokensUpdated today
    Agent WorkflowsAuto-check passed
  • Perfup

    raullenchai/Rapid-MLX

    Autonomous performance optimization: research, PoC, benchmark, implement, review, PR

    3.9k GitHub stars~1.6k tokensUpdated today
    AI & LLM EngineeringAuto-check: notes
  • Tool Use Data Synthesis

    sunny-glow/Auto-BenchMax

    Synthesize training data for ANY tool-use / agentic benchmark, in ANY repo.

    1.3k GitHub stars~3.3k tokensUpdated 2 mo ago
    AI & LLM EngineeringAuto-check passed

More from Neeeophytee/finding-unknowns-skills

All 14 skills in this repo
  • Assumption Test

    Neeeophytee/finding-unknowns-skills

    Test a consequential technical assumption with a small, falsifiable experiment before committing to an approach.

    343 GitHub stars~631 tokensUpdated 10 days ago
    Auto-check passed
  • Blindspot Pass

    Neeeophytee/finding-unknowns-skills

    Surface the user's unknown unknowns before work starts. An agent skill from Neeeophytee/finding-unknowns-skills.

    343 GitHub stars~482 tokensUpdated 10 days ago
    Auto-check passed
  • Brainstorm Prototypes

    Neeeophytee/finding-unknowns-skills

    Generate several genuinely different throwaway variations (designs, approaches, drafts) for the user to react to.

    343 GitHub stars~492 tokensUpdated 10 days ago
    Auto-check passed
  • Change Quiz

    Neeeophytee/finding-unknowns-skills

    After a working session, produce a report on what changed plus a quiz the user must pass before merging.

    343 GitHub stars~532 tokensUpdated 10 days ago
    Auto-check passed
  • Context Audit

    Neeeophytee/finding-unknowns-skills

    Audit the instructions an agent already carries — CLAUDE.md, AGENTS.md, skills, tool descriptions — for contradictions, over-constraint, and duplication, then propose a cut list.

    343 GitHub stars~779 tokensUpdated 10 days ago
    Auto-check passed
  • Implementation Notes

    Neeeophytee/finding-unknowns-skills

    Keep a running implementation-notes.md during a build, logging every deviation from the plan and every discovered edge case.

    343 GitHub stars~474 tokensUpdated 10 days ago
    Auto-check passed

Questions about Agent Interface Design

What does Agent Interface Design do?

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. Agent Interface Design is an agent skill from Neeeophytee/finding-unknowns-skills. 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.

When should I use Agent Interface Design?

Agent Interface Design fits situations like: building an MCP server; tool definition; writing an agent-facing script; an agent keeps misusing a tool it already has.

How do I install Agent Interface Design in Claude Code?

Run `npx skills add Neeeophytee/finding-unknowns-skills --skill agent-interface-design -a claude-code`. Or copy the skill folder (skills/agent-interface-design in Neeeophytee/finding-unknowns-skills) into .claude/skills/agent-interface-design in your project. Claude Code loads it when a task matches its description.

How do I install Agent Interface Design in Codex?

Run `npx skills add Neeeophytee/finding-unknowns-skills --skill agent-interface-design -a codex`. Or copy the skill folder (skills/agent-interface-design in Neeeophytee/finding-unknowns-skills) into .agents/skills/agent-interface-design in your project. Codex loads it when a task matches its description.

Can I use Agent Interface Design in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add Neeeophytee/finding-unknowns-skills --skill agent-interface-design -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-interface-design, .gemini/skills/agent-interface-design, .github/skills/agent-interface-design and .opencode/skills/agent-interface-design in your project.

What does Agent Interface Design need to run?

SKILL.md names no scripts, command-line tools or credentials: Agent Interface Design is instructions for the agent only.

Does Agent Interface Design access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agent Interface Design safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agent Interface Design use?

Agent Interface Design is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Interface Design use?

About 650 tokens (SKILL.md is roughly 2.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agent Interface Design?

Skills that share tags, products or a category with Agent Interface Design: Agent Protocol (borghei/Claude-Skills, 881 stars), Ax Gen (dosco/aithy, 107 stars), Agent Tool Builder (omer-metin/skills-for-antigravity, 162 stars) and MCP Server Builder with mcp-use (mcp-use/mcp-use, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Interface Design?

Neeeophytee (a GitHub user) maintains it in Neeeophytee/finding-unknowns-skills, which has 343 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on September 28, 2026.

Source: Neeeophytee/finding-unknowns-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.