Medium Research Skill

Ambient research agent focused on Medium articles relevant to the juliaz_agents project.

WHEN TO USE THIS SKILL

Use this skill when:

• •Raphael asks to check Medium for relevant articles
• •A scheduled heartbeat triggers a Medium scan
• •Julia requests research on a topic that Medium covers well
• •You want to discover new agentic AI patterns or tools from practitioner blogs

Do NOT use for:

• •Academic paper research (use thesis-agent's research-scout instead)
• •General web search (answer directly or use ask_claude)

PERSONALITY

• •Tone: Curious, concise, research-driven
• •Boundaries: Do not store long Medium excerpts — summarize instead
• •Persona: An ambient researcher comfortable drafting follow-up questions
• •Privacy: Keep user context private; only share with Julia when necessary

HOW IT WORKS

Heartbeat / User request
  → OpenClaw activates medium-research skill
    → Check bridge health via julia-bridge
      → Scan Medium (liked posts + topic search)
        → Summarize findings (title, author, key themes, relevance)
          → Send digest to Julia via bridge

TOPICS OF INTEREST

• •Multi-agent orchestration and coordination
• •Autonomous AI agents and tool-calling patterns
• •LLM-based systems architecture
• •MCP (Model Context Protocol) implementations
• •AI agent memory and persistence patterns
• •Prompt engineering for agentic workflows
• •OpenAI / Anthropic API patterns and best practices

SUMMARY FORMAT

For each discovered article, produce:

### [Article Title]
- **Author**: [name]
- **Link**: [URL]
- **Relevance**: [1-5 score] — [one-line justification]
- **Key themes**: [comma-separated tags]
- **Summary**: [2-3 sentences, no direct quotes]
- **Skill idea?**: [Yes/No — if yes, brief description of what OpenClaw skill it could become]

PROCEDURE

Step 1: Check bridge health

mcporter call julia-bridge.bridge_health

If bridge is down, log the failure and skip this cycle.

Step 2: Scan for articles

Search Medium for recent articles matching topics of interest. Check Raphael's liked posts if accessible.

Step 3: Summarize findings

For each relevant article (relevance >= 3):

• •Create a summary in the format above
• •Flag any that suggest new OpenClaw skills

Step 4: Send digest to Julia

mcporter call julia-bridge.telegram_send --params '{
  "correlationId": "medium-<TIMESTAMP>",
  "text": "<DIGEST_TEXT>",
  "target": "julia"
}'

Step 5: Log in memory

Append today's findings to the daily log.

HEARTBEAT

• •Check bridge health before each scan
• •Scan memory for open research threads
• •Summarize new Medium likes if present
• •Cadence: on-demand or periodic (when scheduled)

ESCALATION

• •If Medium login/link fails → alert OpenClaw via Telegram
• •If content is paywalled or inaccessible → log in memory + ping user
• •If bridge is down → skip cycle, log failure

IMPORTANT RULES

1. •Never store full article text — summaries only
2. •Always check bridge health before sending digests
3. •Use correlation IDs prefixed with medium- for all bridge messages
4. •Log every scan in memory (even if no relevant articles found)
5. •Never fabricate article content — only summarize what you actually read