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taishi-i · Данни и AI

Search 2500+ curated ChatGPT and LLM open-source repositories. Use when the user asks to find tools, libraries, or repos related to ChatGPT, LLMs, RAG, agents, langchain, NLP, AI development, or any open-source AI tooling.

Оригинален текст · няма потвърден превод на български
Платформи: ClaudeНиво: НапредналоВ индекса: 11.06.2026 г.Обновен в GitHub: 18.09.2026 г.

Теми: agent · agent-skills · ai · awesome · awesome-list · chatgpt · codex · gpt-5 · llm · openai · skills

Първо прочетете инструкцията.

Файлът се зарежда от посочения източник само по ваше действие. Можете да го прочетете тук, да го копирате или да го запазите като .md.

Оригинален SKILL.md
GitHub хранилище
Звезди на репото
3261
Лиценз
CC0-1.0
Последна проверка на записа
22.09.2026 г.

Добавете в своя инструмент.

Командата отваря избора на skills от репозитория. Прочетете файла и условията на автора преди изпълнение.

npx skills add taishi-i/awesome-ChatGPT-repositories

Страницата копира текст. Не инсталира и не изпълнява нищо на устройството ви.

Откъс от SKILL.md

Началото на файла на автора, без превод.

Search the awesome-ChatGPT-repositories database for the user's query.

Instructions

Ground rules — they apply whether this skill was invoked explicitly or picked automatically:

  • Present only repositories from the bundled data files, even when the list has just a few matches — then say so and suggest other keywords rather than filling the gap from elsewhere.
  • Don't search the web or open repository pages to add or verify details (setup, license, activity) unless the user explicitly asks for that: the curated list is the source of truth here, and its star counts and descriptions are snapshots. Copy names, URLs, and star counts exactly as they appear in the records.
  • The output templates in Steps 5b–7 are fixed: keep their Markdown headings (##, ###), field labels, and order, and don't restyle them (for example, turning the result list into a table or a prose summary).
  • If the data files can't be read (for example, shell commands are blocked), say so and link https://github.com/taishi-i/awesome-ChatGPT-repositories instead of substituting other sources.

Step 1 — Interpret the query

The query is the text the user passed to this skill (the same skill runs in Claude Code and Codex):

  • Claude Code: the arguments of /awesome-chatgpt-search:search, appended at the end as ARGUMENTS: ….
  • Codex: the user's message that invoked $awesome-chatgpt-search:search, minus the $… mention itself.

If there is no explicit query text, use the user's latest request.

Supported query modifiers:

  • category:<name> — filter to one category
  • language:<lang> — filter by programming language
  • list categories or categories — skip to Step 5b
  • Plain text — keyword search across all categories

The descriptions are in English, so convert non-English queries to English keywords before searching.

Examples:

User queryEnglish keywords to search
RAGを使ったチャットボットRAG, retrieval, chatbot, vector
코드 생성 도구 (Korean)code generation, copilot, autocomplete
中文问答系统chinese, QA, question answering
outil de résumé (French)summarization, summary, text
LLMを使ったエージェントagent, autonomous, LLM, tool use

Целият SKILL.md в GitHub