Clarifai/skills

Clarifai/skills

Language: Python

Stars: 3

Forks: 0

Open issues: 1

Created: 2026-03-26T20:46:06Z

Pushed: 2026-04-15T14:49:36Z

Default branch: main

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README:

Clarifai Skills

Agent skills for the Clarifai AI platform. These skills give AI coding assistants (Claude Code, Cursor, Codex, and others) deep knowledge of Clarifai's model deployment, inference, MCP, pipeline, and data management capabilities.

Built on the open Agent Skills standard — works across 30+ agent platforms.

Quick Start

Option A: Clarifai CLI (recommended)

pip install clarifai
clarifai skills install

That's it. Auto-detects your agents (Claude, Cursor, Codex) and installs all 11 skills globally.

Option B: Claude Code Plugin

claude plugin marketplace add Clarifai/skills
claude plugin install clarifai-skills

Option C: Manual

git clone https://github.com/Clarifai/skills.git
clarifai skills install --source ./skills

What's Included

| Skill | What it does | |-------|-------------| | [clarifai-cli](.github/skills/clarifai-cli) | Full CLI reference: init, serve, deploy, status, logs, undeploy, predict, list-instances | | [clarifai-model-upload](.github/skills/clarifai-model-upload) | Deploy models with vLLM, SGLang, HuggingFace, Ollama. ModelClass, config.yaml, GPU config | | [clarifai-inference](.github/skills/clarifai-inference) | Model discovery, method signatures, code generation, OpenAI-compatible API, agentic models | | [clarifai-mcp](.github/skills/clarifai-mcp) | Build MCP servers with MCPModelClass, StdioMCPModelClass, FastMCP tools | | [clarifai-deployment-lifecycle](.github/skills/clarifai-deployment-lifecycle) | Deploy/status/logs/undeploy lifecycle, version patching, state monitoring | | [clarifai-observability](.github/skills/clarifai-observability) | Debug stuck deployments: CLI logs, K8s events, common resolutions | | [clarifai-agentic-flows](.github/skills/clarifai-agentic-flows) | Multi-step orchestration: "train THEN deploy", client scripts, server orchestrators | | [clarifai-datasets](.github/skills/clarifai-datasets) | Upload datasets with annotations (classification, detection, segmentation), format conversion | | [clarifai-pipelines](.github/skills/clarifai-pipelines) | Batch processing pipelines with containerized steps and Artifacts API | | [clarifai-training-pipelines](.github/skills/clarifai-training-pipelines) | Train classifiers (ResNet-50) and detectors (YOLOF) using built-in templates | | [clarifai-grpc](.github/skills/clarifai-grpc) | Low-level gRPC API with protobufs for advanced platform operations |

CLI Commands

clarifai skills install # install all skills (auto-detect agents)
clarifai skills install --claude # install for Claude only
clarifai skills install clarifai-cli --claude # install one skill
clarifai skills list --installed # see installed skills
clarifai skills update # update to latest
clarifai skills remove clarifai-grpc --claude # remove one skill
clarifai skills remove --all # remove all

Flags:

• --claude, --codex, --cursor, --all-agents — target specific agents (default: auto-detect)
• --global / --local — user-wide or project-level (default: global)
• --source /path — install from local clone instead of GitHub

How It Works

Skills follow the Agent Skills standard:

clarifai-cli/
SKILL.md # Instructions (YAML frontmatter + markdown)
references/ # Detailed reference docs
examples/ # Working code examples

Each SKILL.md has a name and description in YAML frontmatter. Agents load these at startup for routing, then read the full content on-demand when a matching task is detected.

Install layout:

~/.agents/skills/ # Central (one copy)
clarifai-cli/
clarifai-model-upload/
...
~/.claude/skills/ # Symlinks per agent
clarifai-cli -> ~/.agents/skills/clarifai-cli
...

Example: Deploy a Model in 3 Commands

With skills installed, just tell your agent:

> "Deploy Qwen3-0.6B with vLLM"

The agent reads the clarifai-cli and clarifai-model-upload skills and runs:

clarifai model init ./qwen --toolkit vllm --model-name "Qwen/Qwen3-0.6B"
clarifai model serve ./qwen # test locally
clarifai model deploy ./qwen # deploy to cloud

Repository Structure

.
AGENTS.md # Master index (loaded by agents)
marketplace.json # Skills registry for CLI
.claude-plugin/marketplace.json # Claude Code plugin manifest
.github/skills/ # All 11 skills
clarifai-cli/
SKILL.md
references/
examples/
clarifai-model-upload/
SKILL.md
references/
examples/
...
scripts/
generate_marketplace.py # Regenerate marketplace.json

Contributing

1. Edit or create a skill in .github/skills/your-skill/SKILL.md 2. Follow the SKILL.md format: YAML frontmatter (name, description) + markdown body 3. Keep SKILL.md under 500 lines; move detailed docs to references/ 4. Run python scripts/generate_marketplace.py to update the registry 5. Test with clarifai skills install --source . --claude --force

Links

• Clarifai Platform
• Clarifai Python SDK
• Runner Examples
• Agent Skills Standard
• Clarifai Docs