agentic-collections Skill
agentic-collections is a Python AI agent skill for Cursor, VS Code. Red Hat Ecosystem Engineering - Agentic Collections
How to use agentic-collections Skill
Install or run
uv (one-time setup)Client configuration
name: MCP Tool Validation
on:
pull_request:
types: [opened, synchronize, reopened, ready_for_review]
paths:
- '**/mcps.json'
- '**/skills/*/SKILL.md'
push:
branches: [main]
paths:
- '**/mcps.json'
- '**/skills/*/SKILL.md'
workflow_dispatch:
inputs:
pack:
description: 'Pack name to validate (empty = all packs)'
required: false
type: string
permissions:
contents: read
concurrency:
group: mcp-tool-validation-${{ github.head_ref || github.ref }}
cancel-in-progress: true
jobs:
mcp-tool-check:
if: github.event.pull_request.draft == false || github.event_name != 'pull_request'
runs-on: ubuntu-latest
timeout-minutes: 10
steps:
- name: Checkout repository
uses: actions/checkout@34e114876b0b11c390a56381ad16ebd13914f8d5 # v4
with:
fetch-depth: 0 # full history required for git diff in pack detection
- name: Set up Python
uses: actions/setup-python@a26af69be951a213d495a4c3e4e4022e16d87065 # v5
with:
python-version: '3.11'
- name: Install podman
run: |
sudo apt-get update -qq
sudo apt-get install -y -qq podman
- name: Create dummy kubeconfig
run: |
mkdir -p "$HOME/.kube"
cat > "$HOME/.kube/config" <<'KUBECONFIG'
apiVersion: v1
kind: Config
clusters:
- cluster:
server: https://localhost:6443
name: mcp-validation
- cluster:
server: https://localhost:6444
name: mcp-validation-2
contexts:
- context:
cluster: mcp-validation
user: mcp-validation
name: mcp-validation
- context:
Compatible clients
What is agentic-collections Skill?
agentic-collections is a Python AI agent skill for Cursor, VS Code. Red Hat Ecosystem Engineering - Agentic Collections This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.
Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.
Key capabilities
- Reusable instructions support
- Includes SKILL.md support
- Shell commands support
- Document generation support
- OpenAI provider support
- Anthropic provider support
- Google provider support
Available tools
Technical details
- Built for Python
- Built for Go
- Works with Cursor
- Works with VS Code
- Uses SSE transport
- API key required
- Database access
Requirements and access
Security and permissions
Review permissions before connecting any MCP server to an agent. Pay special attention to whether it can read local files, write data, call external services, or perform destructive actions.
When to use agentic-collections Skill
- Use it for reusing agent instructions, scripts, and references.
- Use it for agent skills workflows.
- Use it for coding workflows.
- Use it for data workflows.
- Use it for cursor users.
Built with
Explore related resources
Frequently asked questions
What is agentic-collections?
agentic-collections is a Python AI agent skill for Cursor, VS Code. Red Hat Ecosystem Engineering - Agentic Collections
Who is agentic-collections best for?
agentic-collections is best for reusing agent instructions, scripts, and references, agent skills workflows, coding workflows, data workflows, cursor users.
How do I install agentic-collections?
Check the agentic-collections GitHub repository for installation instructions.
Is agentic-collections actively maintained?
agentic-collections may need a closer maintenance check before production use.
Auto-fetched from GitHub.