本文へ移動
cccskills
無料GitHub で公開

plugin-directory-listing-writer

Use when a validated ChatGPT/Codex Plugin needs accurate Plugin Directory fields, discovery metadata, starter prompts, and reviewer-facing listing details grounded in the packaged product.

インストール方法を見る

含まれるファイル(1)

  • SKILL.md4.4 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Plugin Directory Listing Writer

Turn the exact Plugin artifact into clear public listing metadata. Treat listing copy as product metadata that affects both user understanding and model discovery.

Authority and freshness

Re-check the current official OpenAI Plugin submission, packaging, metadata, and guideline pages before finalizing a public listing. Portal fields and limits can change. Current official documentation overrides remembered limits and examples.

Required listing pack

Prepare these fields when the current portal requires them:

  • Name
  • Subtitle / short description
  • Description / long description
  • Category
  • Developer name / verified developer identity
  • Website URL
  • Customer support URL
  • Privacy policy URL
  • Terms of Service URL
  • Version
  • Package name
  • Capabilities
  • logo asset
  • starter prompts
  • availability notes when relevant
  • release notes

Use build_directory_pack.py to extract package-backed fields and expose missing portal-only material. Do not silently invent missing publisher or legal information.

Writing rules

Name

Use the customer-facing product or workflow name. Do not expose internal repository slugs unless they are already the public brand.

Subtitle

Describe the plain user function in one short line. Prefer a direct verb or outcome. Keep it within the current portal limit; when the form specifies 30 characters, enforce 30 characters rather than relying on a looser package limit.

Avoid claims such as "best", "perfect", "revolutionary", or unverifiable performance language.

Description

Explain:

  1. what users can do with the Plugin
  2. which repeatable workflows it covers
  3. what external data/actions it needs, if any
  4. material boundaries users should understand

Write from observable packaged behavior. Do not convert implementation detail into customer value claims.

Developer identity

The developer name must match the verified individual or business identity selected in the OpenAI Platform submission flow. Never infer a legal publisher name from a GitHub username, repository owner, email domain, or package author field.

URLs

Require public, accurate URLs. The support, privacy, terms, and website pages must match the actual publisher and data handling. Missing URLs are blockers for submission readiness when the current portal requires them.

Capabilities

Use short user-facing capability statements. Each capability should describe meaningful work the Plugin can actually perform. Remove duplicates and internal mechanics.

Starter prompts

Create prompts for the highest-value workflows, not cosmetic variants of the same request. Include direct and indirect phrasing where helpful. Test them against the final Plugin.

Discovery evaluation

Build a golden prompt set before final metadata sign-off:

  • direct prompts that explicitly name the Plugin or workflow
  • indirect prompts that describe the desired outcome
  • negative prompts where the Plugin should not trigger

Record expected behavior for each prompt. Revise names/descriptions when recall or precision is poor rather than stuffing unrelated keywords into metadata.

Submission test material

When current OpenAI submission requirements call for reviewer test cases, prepare at least the required positive and negative cases. As of the 2026-08-22 baseline used by this repository, the official portal asks for at least five positive and three negative cases. Re-check before every submission.

Each positive case should state:

  • user prompt
  • expected Skill/tool/workflow behavior
  • expected result shape
  • fixture or account data required

Each negative case should state:

  • prompt/scenario
  • expected refusal, clarification, or fallback
  • why the Plugin should not complete the action

Output

Produce a directory pack with:

  • source commit/ref and version
  • exact field values
  • character-count checks where applicable
  • asset paths
  • starter prompts
  • golden prompt evaluation set
  • reviewer tests
  • missing publisher/legal information
  • claims that still need evidence
  • status: listing_ready or not_ready

Hand the pack to submission-pack-builder. Listing readiness is not submission, approval, or publication.

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

Use when an existing repository contains agents, prompts, workflows, playbooks, commands, or Skills and you need to identify which capabilities are worth converting into a ChatGPT/Codex Plugin.

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。

imMamdouhaboammar/chatgpt-codex-plugin-autopilot622026年9月10日 更新

Use when converting an agentic repository into a ChatGPT/Codex Plugin or when building, repairing, validating, packaging, submitting, publishing, or auditing an existing Plugin.

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。

imMamdouhaboammar/chatgpt-codex-plugin-autopilot622026年9月10日 更新

Use when a ChatGPT/Codex Plugin workflow needs to inspect, search, modify, or verify files in the host workspace using the safest native tools available.

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。

imMamdouhaboammar/chatgpt-codex-plugin-autopilot622026年9月10日 更新

Use when a ChatGPT/Codex Plugin needs a production-ready visual identity and SVG logo system that clearly expresses the Plugin's job across light and dark surfaces.

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。

imMamdouhaboammar/chatgpt-codex-plugin-autopilot622026年9月10日 更新

Use when a set of candidate Skills or app capabilities is technically valid but still needs to become a clear, useful ChatGPT/Codex Plugin that people can understand, discover, and invoke for real work.

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。

imMamdouhaboammar/chatgpt-codex-plugin-autopilot622026年9月10日 更新

Use when a ChatGPT/Codex Plugin workflow needs deterministic computation, file processing, repository checks, package inspection, or other work that should be actually executed with host-native Python instead of answered from unverified reasoning.

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。

imMamdouhaboammar/chatgpt-codex-plugin-autopilot622026年9月10日 更新

imMamdouhaboammar のスキルをすべて見る

このスキルの問題を報告する