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agent-interface-design

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.

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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.

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.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Test a consequential technical assumption with a small, falsifiable experiment before committing to an approach. Use when a plan depends on uncertain runtime, integration, or data behavior that inspection alone cannot establish. Not for preference interviews or routine implementation.

日本語の概要は準備中です。原文の説明を表示しています。

Neeeophytee/finding-unknowns-skills3462026年9月28日 更新

Surface the user's unknown unknowns before work starts. Use when the user is entering an unfamiliar codebase area, an unfamiliar domain (design, video, infra), or explicitly asks for a "blindspot pass" or to find their "unknown unknowns."

日本語の概要は準備中です。原文の説明を表示しています。

Neeeophytee/finding-unknowns-skills3462026年9月28日 更新

Generate several genuinely different throwaway variations (designs, approaches, drafts) for the user to react to. Use when the user can only recognize what they want by seeing it — visual design, UX flows, naming, tone — or asks to brainstorm or prototype before building.

日本語の概要は準備中です。原文の説明を表示しています。

Neeeophytee/finding-unknowns-skills3462026年9月28日 更新

After a working session, produce a report on what changed plus a quiz the user must pass before merging. Use when the user asks "what did we actually do," wants to review a large change, or invokes a quiz before merge.

日本語の概要は準備中です。原文の説明を表示しています。

Neeeophytee/finding-unknowns-skills3462026年9月28日 更新

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. Use when an agent ignores its own instructions, when a CLAUDE.md has grown bloated, or when the user asks to audit or rightsize their agent context.

日本語の概要は準備中です。原文の説明を表示しています。

Neeeophytee/finding-unknowns-skills3462026年9月28日 更新

Keep a running implementation-notes.md during a build, logging every deviation from the plan and every discovered edge case. Use whenever implementing against an agreed plan or spec, especially in long autonomous sessions.

日本語の概要は準備中です。原文の説明を表示しています。

Neeeophytee/finding-unknowns-skills3462026年9月28日 更新

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