Paper Report Delivery#

Use this skill to implement or maintain an end-to-end daily paper report workflow.

Do this#

1. Read references/workflow.md first.
2. Keep the pipeline end-to-end: collection, selection, readable output, archive, delivery.
3. Prefer Telegram-only proxying via channels.telegram.proxy when Telegram API needs Clash.
4. Treat Telegram message delivery and Telegram document delivery as separate reliability paths.
5. Prefer this delivery order:
   • split HTML delivery
   • retry for a bounded window
   • Telegram message chunk fallback
6. Keep local artifacts even when remote delivery fails.

Reusable scripts#

Use these bundled scripts when they fit:

• scripts/build_readable_html.py
  • Build a readable single-file HTML report with embedded images.
• scripts/build_telegram_messages.py
  • Convert a readable report JSON into Telegram-sized message chunks.
• scripts/send_telegram_retry.sh
  • Retry Telegram sending for unstable transport.
• scripts/send_html_then_fallback.py
  • Try split HTML for up to 30 minutes, then fall back to Telegram message chunks.

Implementation rules#

• Keep HTML as the best-reading artifact.
• Keep Telegram message chunks as the most reliable delivery artifact.
• Archive HTML, PDF, and markdown even when only Telegram text is delivered.
• Do not assume Telegram document delivery is stable.
• If Telegram is unreachable, finish artifact generation and leave cached delivery files behind.

When editing an existing repo#

• Integrate into the repo’s main pipeline entrypoint instead of creating a disconnected side script.
• Add flags for skipping fetch, skipping send, and archive-only mode.
• Keep delivery logic explicit and observable in logs.
• If Telegram transport is flaky, add retries before changing report content.

Publishing hygiene#

Before public release:

• Remove hard-coded local paths
• Remove hard-coded Telegram targets and group names
• Replace fixed dates with dynamic YYYY-MM-DD handling
• Keep transport settings configurable

Packaging#

After the skill is complete, package it with the local package_skill.py helper from the OpenClaw skill-creator skill.