一键导入
devops
Docker, CI/CD, deployment, and infrastructure management. Use for container builds, CI pipeline changes, deployment configurations, and environment setup.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
菜单
Docker, CI/CD, deployment, and infrastructure management. Use for container builds, CI pipeline changes, deployment configurations, and environment setup.
用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
DEEP multi-step research harness. Decomposes queries into sub-questions, executes parallel web searches via Pieces MCP, iteratively refines with gap detection, and synthesizes cited reports. Architecture inspired by GPT Researcher (27.6k stars), Vane/Perplexica (35.2k stars), and Gemini Deep Research. Use when user asks for deep research, investigation, analysis, comparison, or any task requiring exhaustive web research.
DEFAULT THINKING MODE — not a feature, but how the agent operates. Every task gets innovation-overdrive thinking: research, ground, reflect on contradictions, propose, then build. This is the agent's identity, not a command. Integrates MiMo-Code's 6-phase memory consolidation.
Chain execution manager: validates dependencies, enforces order, tracks violations. Use to verify that all required skill chains were executed and to get the correct execution order.
API design patterns, REST conventions, and endpoint standards. Use when creating or modifying API endpoints. Covers routing, request/response patterns, error handling, and versioning.
Architectural design, system patterns, and dependency management. Use when designing new modules, refactoring existing systems, or making architectural decisions. Covers layering, coupling, cohesion, and design patterns.
Trigger-driven automation definitions and runner management. Use when creating, running, or managing skill-based automation pipelines.
| name | devops |
| description | Docker, CI/CD, deployment, and infrastructure management. Use for container builds, CI pipeline changes, deployment configurations, and environment setup. |
| chains_with | ["security","quality"] |
# Build stage
FROM python:3.12-slim AS builder
COPY requirements.txt .
RUN pip install --user -r requirements.txt
# Runtime stage
FROM python:3.12-slim
COPY --from=builder /root/.local /root/.local
COPY src/ /app/src/
CMD ["gunicorn", "app:create_app()"]
RUN apt-get update && apt-get install -y pkg && rm -rf /var/lib/apt/lists/*.dockerignore to exclude unnecessary filesjobs:
quality:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
- run: pip install ruff mypy pytest
- run: ruff check src/
- run: mypy src/
- run: pytest tests/ -x -q
lint-and-test:
- ruff check
- mypy src/
- pytest tests/ -x -q
benchmarks:
- pytest benchmarks/ --benchmark-json=results.json
- upload artifact
# .env file — NEVER commit
DATABASE_URL=postgresql://localhost:5432/projectq
API_KEY=...
FLASK_ENV=development
# Virtual environment
python -m venv .venv
source .venv/bin/activate
# Dependencies
pip install -e ".[dev]" # Dev install
pip freeze > requirements.txt # Pin versions
/api/health)services:
backend:
build:
context: .
dockerfile: Dockerfile.backend
ports: ["5005:5005"]
healthcheck:
test: ["CMD", "curl", "-f", "http://localhost:5005/api/health"]
frontend:
build:
context: .
dockerfile: Dockerfile.frontend
ports: ["8080:80"]