Phoenix Server
Arize-ai/phoenix
Backend development guide for the Phoenix AI observability platform (Strawberry GraphQL, SQLAlchemy async, FastAPI).
Expert guidance for Django REST Framework class-based views using Classy DRF (https://www.cdrf.co).
$ npx skills add vintasoftware/django-ai-plugins --skill cdrf-expert -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install vintasoftware/django-ai-plugins cdrf-expert --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/vintasoftware/django-ai-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/cdrf-expert .claude/skills/cdrf-expert && rm -rf skills-srcUse ~/.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/
Install the "cdrf-expert" agent skill from https://github.com/vintasoftware/django-ai-plugins/tree/main/skills/cdrf-expert into .claude/skills/cdrf-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cdrf-expert", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/vintasoftware/django-ai-plugins/tree/main/skills/cdrf-expertType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add vintasoftware/django-ai-plugins --skill cdrf-expert -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install vintasoftware/django-ai-plugins cdrf-expert --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vintasoftware/django-ai-plugins.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/cdrf-expert .agents/skills/cdrf-expert && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cdrf-expert" agent skill from https://github.com/vintasoftware/django-ai-plugins/tree/main/skills/cdrf-expert into .agents/skills/cdrf-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cdrf-expert", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vintasoftware/django-ai-plugins --skill cdrf-expert -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install vintasoftware/django-ai-plugins cdrf-expert --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vintasoftware/django-ai-plugins.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/cdrf-expert .cursor/skills/cdrf-expert && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "cdrf-expert" agent skill from https://github.com/vintasoftware/django-ai-plugins/tree/main/skills/cdrf-expert into .cursor/skills/cdrf-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cdrf-expert", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/vintasoftware/django-ai-plugins.git --path skills/cdrf-expert--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add vintasoftware/django-ai-plugins --skill cdrf-expert -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install vintasoftware/django-ai-plugins cdrf-expert --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vintasoftware/django-ai-plugins.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/cdrf-expert .gemini/skills/cdrf-expert && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "cdrf-expert" agent skill from https://github.com/vintasoftware/django-ai-plugins/tree/main/skills/cdrf-expert into .gemini/skills/cdrf-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cdrf-expert", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install vintasoftware/django-ai-plugins cdrf-expertInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add vintasoftware/django-ai-plugins --skill cdrf-expert -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/vintasoftware/django-ai-plugins.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/cdrf-expert .github/skills/cdrf-expert && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "cdrf-expert" agent skill from https://github.com/vintasoftware/django-ai-plugins/tree/main/skills/cdrf-expert into .github/skills/cdrf-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cdrf-expert", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add vintasoftware/django-ai-plugins --skill cdrf-expert -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install vintasoftware/django-ai-plugins cdrf-expert --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/vintasoftware/django-ai-plugins.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/cdrf-expert .opencode/skills/cdrf-expert && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "cdrf-expert" agent skill from https://github.com/vintasoftware/django-ai-plugins/tree/main/skills/cdrf-expert into .opencode/skills/cdrf-expert/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cdrf-expert", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
cdrf-expertExpert guidance for Django REST Framework class-based views using Classy DRF (https://www.cdrf.co).
Cdrf Expert is an agent skill from vintasoftware/django-ai-plugins. Expert guidance for Django REST Framework class-based views using Classy DRF (https://www.cdrf.co). Use when selecting or debugging APIView, GenericAPIView, concrete generic views, mixin combinations, or ViewSet/GenericViewSet/ModelViewSet behavior; tracing method resolution order (MRO); understanding which method to override (create vs performcreate, update vs performupdate, destroy vs performdestroy, getqueryset, getserializerclass); and comparing behavior across DRF versions. Do not use for function-based…
Its SKILL.md is about 860 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/class-selection-matrix.md`, `references/lifecycle-and-overrides.md` and `references/mro-debugging-playbook.md`).
It sits in Backend & APIs, covering Backend development, GraphQL and Debugging. It works with Django, FastAPI, Flask and GraphQL. The repository describes itself as: A collection of AI Skills specialized in Django Backend development.
3 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit b8af268. It shows what the files ask for, not the result of running them.
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.
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.
Hosts in commands or code, which the agent is likely to contact:
cdrf.coFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Cdrf Expert loads about 859 tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 156 tokens; SKILL.md has 343 words of instructions outside code blocks.
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.
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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 343 words (~859 tokens).
“Map the user request to one or more categories:”
SKILL.md and 4 other files (references) in skills/cdrf-expert of vintasoftware/django-ai-plugins.
Open the folder on GitHubat commit b8af268
Cdrf Expert 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Cdrf Expert this skillvintasoftware/django-ai-plugins | 151 | — | ~859 | Automated safety check: Pass | None | |
| Phoenix ServerArize-ai/phoenix | 12k | — | ~1.6k | Automated safety check: Pass | Custom licence | |
| Fix Slow Endpointvpcarlos/profyle | 123 | — | ~2.1k | Automated safety check: Pass | MIT | |
| Framework Migration AssistantArabelaTso/Skills-4-SE | 253 | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | |
| Sentry Python SDKgetsentry/sentry-for-ai | 268 | — | ~4.1k | Automated safety check: Pass | Apache-2.0 | |
| Funboost Faas Deployydf0509/funboost | 892 | — | ~956 | Automated safety check: Pass | None |
Arize-ai/phoenix
Backend development guide for the Phoenix AI observability platform (Strawberry GraphQL, SQLAlchemy async, FastAPI).
vpcarlos/profyle
Diagnose and fix a slow endpoint or request in a Python web app (FastAPI, Flask, Django, Tornado, any ASGI/WSGI framework) using real Profyle/VizTracer traces, then prove the fix by replaying the…
ArabelaTso/Skills-4-SE
Automatically migrate Python web applications between frameworks (Flask → FastAPI, Django → FastAPI).
getsentry/sentry-for-ai
Full Sentry SDK setup for Python. An agent skill from getsentry/sentry-for-ai.
ydf0509/funboost
当需要将 funboost 任务部署为 HTTP 微服务时使用。触发场景:通过 FastAPI/Flask/Django 暴露发布和查询接口、使用内置 FaaS router、无需手写 API 代码。关键词:FaaS, 微服务, FastAPI, Flask, Django, HTTP API, REST, fastapirouter, flaskblueprint, web deploy。
ancoleman/ai-design-components
API design and implementation across REST, GraphQL, gRPC, and tRPC patterns.
vintasoftware/django-ai-plugins
Expert Django Celery guidance for asynchronous task processing.
vintasoftware/django-ai-plugins
Write, review, and rewrite Django migrations for PostgreSQL with zero-downtime guarantees.
vintasoftware/django-ai-plugins
Expert Django backend development guidance. An agent skill from vintasoftware/django-ai-plugins.
vintasoftware/django-ai-plugins
Review Django and Python changes for clarity, consistency, maintainability, ORM or DRF anti-patterns, and project conventions while preserving behavior.
Categories
Expert guidance for Django REST Framework class-based views using Classy DRF (https://www.cdrf.co). Cdrf Expert is an agent skill from vintasoftware/django-ai-plugins.co).
Cdrf Expert fits situations like: debugging APIView; concrete generic views; mixin combinations; viewSet/GenericViewSet/ModelViewSet behavior.
Run `npx skills add vintasoftware/django-ai-plugins --skill cdrf-expert -a claude-code`. Or copy the skill folder (skills/cdrf-expert in vintasoftware/django-ai-plugins) into .claude/skills/cdrf-expert in your project. Claude Code loads it when a task matches its description.
Run `npx skills add vintasoftware/django-ai-plugins --skill cdrf-expert -a codex`. Or copy the skill folder (skills/cdrf-expert in vintasoftware/django-ai-plugins) into .agents/skills/cdrf-expert in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add vintasoftware/django-ai-plugins --skill cdrf-expert -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cdrf-expert, .gemini/skills/cdrf-expert, .github/skills/cdrf-expert and .opencode/skills/cdrf-expert in your project.
SKILL.md names no scripts, command-line tools or credentials: Cdrf Expert is instructions for the agent only.
SKILL.md names 1 domain. In commands or code: cdrf.co; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.
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.
No licence was found for Cdrf Expert or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 859 tokens (SKILL.md is roughly 3.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Cdrf Expert: Phoenix Server (Arize-ai/phoenix, 12k stars), Fix Slow Endpoint (vpcarlos/profyle, 123 stars), Framework Migration Assistant (ArabelaTso/Skills-4-SE, 253 stars) and Sentry Python SDK (getsentry/sentry-for-ai, 268 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
vintasoftware (a GitHub organization) maintains it in vintasoftware/django-ai-plugins, which has 151 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on July 23, 2026.
Source: vintasoftware/django-ai-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.