القائمة
Deploy Python services to Railway with PostgreSQL/pgvector. Use when deploying web services, workers, or databases. Covers CLI workflow, variable linking, and multi-service patterns.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
Write and read W3C Web Annotations on ATProtocol using the at.margin.annotation lexicon. Use when annotating URLs, writing reading notes on web pages, or building a public research trail. Supports single writes, batch writes via applyWrites, and reading annotations from any ATProtocol user. Triggers on annotate, annotation, margin, reading notes, or web annotation.
Manage Semble collections and cards via ATProto CLI. Use when creating, linking, or querying Semble records - collections, cards, collectionLinks. Handles network.cosmik.* lexicons with proper field validation.
Full interaction with X (Twitter) - post, read, reply, like, retweet, follow. Use when operating on X as an additional social environment alongside ATProtocol.
Guide for observing the ATProtocol network. Use when sampling the firehose, taking network pulses, monitoring feeds, or analyzing engagement patterns.
Publish public cognition records to ATProtocol. Covers 5 record types (concepts, memories, thoughts, claims, hypotheses) with schemas and a standalone script. Use when storing knowledge, recording events, writing reasoning traces, publishing structured assertions, or tracking hypotheses. Any agent on ATProtocol can use this.
Guide for managing agent memory blocks. Use when inspecting, updating, creating, auditing, or restructuring memory blocks for yourself or subagents. Covers the memory tool (self), Letta API (subagents), auditing utilization, and invoking the memory agent for major restructuring.
استنادا إلى تصنيف SOC المهني
| name | deploying-to-railway |
| description | Deploy Python services to Railway with PostgreSQL/pgvector. Use when deploying web services, workers, or databases. Covers CLI workflow, variable linking, and multi-service patterns. |
Guide for deploying Python services to Railway.
# Install Railway CLI
npm install -g @railway/cli
# Login
railway login
cd /path/to/service
railway link
# Select workspace and project (or create new)
railway add
# Select: Database → Postgres
IMPORTANT: Standard Postgres does NOT have pgvector. For vector search:
railway variables set KEY="value"
# Reference another service's variable:
railway variables set 'DATABASE_URL=${{Postgres.DATABASE_URL}}'
railway variables set 'DATABASE_URL=${{pgvector.DATABASE_URL}}'
railway up --detach
railway domain
# Returns: https://service-production.up.railway.app
railway link # Link to main service
railway up --detach
railway add --service worker
railway service link worker
railway variables set 'DATABASE_URL=${{pgvector.DATABASE_URL}}'
railway variables set OPENAI_API_KEY="$OPENAI_API_KEY"
# Set start command in dashboard or railway.toml
railway up --detach
${{ServiceName.VARIABLE}} syntaxrailway status # Current project/service
railway variables # List environment variables
railway logs # View service logs
railway service status # Deployment status
railway redeploy --yes # Force redeploy
FROM python:3.11-slim
WORKDIR /app
RUN apt-get update && apt-get install -y libpq-dev gcc && rm -rf /var/lib/apt/lists/*
COPY pyproject.toml ./
COPY myapp/ ./myapp/
RUN pip install --no-cache-dir .
CMD ["gunicorn", "--bind", "0.0.0.0:8080", "--workers", "2", "myapp.app:app"]