Skillget

awesome-llm-agents

mcp
Guvenlik Denetimi
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  • Active repo — Last push 0 days ago
  • Community trust — 36 GitHub stars
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Bu listing icin henuz AI raporu yok.

SUMMARY

ChatGPT, related application + prompt engineering list

README.md

00023-1789164435

ChatGPT | LLM | Prompt Engineering | Agents

Curated links for ChatGPT, LLMs, prompt engineering, agent frameworks, coding tools, libraries, and adjacent resources.

Structure

  • readme.md: entry point and category index.
  • data/entries.yml: source of truth for all resource entries.
  • scripts/generate.py: regenerates category pages and builds the browse site (stdlib only).
  • docs/categories/: category pages (generated — do not edit by hand).
  • docs/templates/: templates for adding new entries consistently.
  • docs/entries/: optional detail pages when a resource needs more than a short entry.
  • docs/data-schema.md: schema reference for data/entries.yml.

Categories

Category Contents Page
Applications ChatGPT API apps, products, and experimental projects Applications
Prompt Engineering Guides, prompt collections, and learning resources Prompt Engineering
Agent Frameworks Agent libraries, orchestration frameworks, and reference stacks Agent Frameworks
Models Closed models, open models, and small models Models
MCP MCP directories and server catalogs MCP
IDE and CLI Tools AI IDEs, coding CLIs, and free ChatGPT API links IDE and CLI Tools
Prototyping Tools Fast interface and demo builders Prototyping Tools
Libraries SDKs and developer libraries Libraries
Desktop Applications Desktop-native clients and apps Desktop Applications
Tools Search, observability, local model, and sharing tools Tools
OpenClaw OpenClaw and its variants OpenClaw
Other Resources Miscellaneous repos, references, and adjacent projects Other Resources

Adding New Resources

  1. Add the resource to data/entries.yml (see docs/data-schema.md for the schema).
  2. Run python3 scripts/generate.py to regenerate the category pages.
  3. Commit data/entries.yml together with the regenerated pages.
  4. If an item needs longer notes, create a dedicated page under docs/entries/ using the template in docs/templates/entry-template.md and link to it from the entry's url.

Detailed editing guidance lives in docs/contributing.md.

Browse Site

A searchable, filterable browse site is built from data/entries.yml and
deployed to GitHub Pages on every push to main (see .github/workflows/pages.yml).

Next Improvement

If this repository keeps growing, the next step is to move from manual Markdown curation to a structured source such as data/entries.yml plus a small script that generates the category pages. Done — see data/entries.yml and scripts/generate.py.

All images were generated by Nano Banana2

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