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agentic-collections Skill

AI Agent SkillCode & Developer ToolsPythonOpen source

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

CursorVS Code

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.

Trust signal
70/100
Maintenance signal
95/100
Adoption signal
39/100

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

Set
Create
listing
listing-2
Validate

Technical details

CursorVS CodeSSE
  • Built for Python
  • Built for Go
  • Works with Cursor
  • Works with VS Code
  • Uses SSE transport
  • API key required
  • Database access

Requirements and access

PythonGoNOASSERTION licenseAPI key requiredDatabase accessAPI key requiredDatabase 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.

Destructive actionsWrite actionsRead-only modeDatabase accessCredentials requiredCan write or update dataMay support destructive actionsAPI key required authenticationHosted or remote

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

PythonGoCursorVS CodeSSE

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.

Share:

Stars
38
Forks
23
Last commit
2 months ago
Repository age
6 months
License
NOASSERTION

Auto-fetched from GitHub.

Similar to agentic-collections

agentic-collections: Install, Config & GitHub Signals – SkillIndex