Daily Newsletter

Daily Newsletter

Daily Newsletter is a local-first Daily Inbox operating pipeline. It fetches source material, normalizes it to one-item Markdown, lets AI perform event understanding/merge/selection/writing, finalizes Markdown/HTML/PNG artifacts, records source health, and optionally sends the complete digest to Feishu.

When To Use

Use this skill when the user asks to:

• run or verify the daily AI newsletter pipeline;
• debug missing, late, or degraded source items;
• inspect Feishu delivery or local sent artifacts;
• change reader-facing Daily Inbox output;
• review pipeline health, workflow graph, task graph, or regression invariants;
• package this repository as a public agent skill.

Do not use this skill for unrelated newsletter copywriting, generic RSS advice, or live content scraping outside this repository.

Inputs

• Repo root: the daily-newsletter checkout.
• Source registry: $PARKIO_HOME/_source management/sources.md.
• Runtime data: $PARKIO_HOME/_inbox/{raw,unprocessed,processed}.
• Sent artifacts: $PARKIO_HOME/001_daily newsletter/ai/.
• Secrets: env vars or $PARKIO_HOME/_secrets/*.
• Optional auth/runtime tools: X auth env, YouTube cookies, WeWe RSS, content-toolkit, Chrome, MLX Whisper.

Default $PARKIO_HOME is ~/park-io.

Workflow

1. Read README.md, AGENTS.md, and GOTCHAS.md before changing behavior.
2. Check git state and preserve uncommitted user changes.
3. For read-only diagnosis, start with generated artifacts and logs before rerunning production commands.
4. For public verification, run:

python3 -m pytest -q
python3 scripts/task_graph_validate.py
python3 scripts/workflow_graph_validate.py
python3 scripts/workflow_graph_dry_run.py
python3 scripts/n8n_import_diff.py

1. For a manual production run, use the staged path:

./fetch-all.sh
python3 stages/to_md/run.py
BATCH=$(python3 stages/coarse_filter/run.py | tail -1)
PARKIO_BATCH_ID=$BATCH python3 build-digest.py
PARKIO_BATCH_ID=$BATCH python3 stages/archive/run.py
PARKIO_BATCH_ID=$BATCH python3 finalize-local.py
python3 build-product-radar.py --date "$(date +%F)"
python3 build-daily-bundle.py --date "$(date +%F)"
python3 reader_quality.py --date "$(date +%F)"
python3 send-feishu-digest.py --date "$(date +%F)"

1. After any reader-facing or routing change, rerun tests and at least the workflow graph validator.

Outputs

• processed//run-report.json
• processed/receipts/feishu/*.json
• sent/YY-MM-DD.{md,html,png}
• sent/deep-YY-MM-DD.{md,html,png} when deep candidates exist
• sent/product-radar-YY-MM-DD.{md,html,png}
• sent/daily-YY-MM-DD.{md,html,png}
• status.html and source-health JSON for operator visibility

Safety

• Never print or commit API keys, cookies, Feishu webhook secrets, Telegram tokens, or X auth values.
• Do not send Feishu or Telegram messages unless the user explicitly asks for delivery or the current task is a delivery verification.
• Do not hide source failures as "no updates"; use channel-health.py, run-report.json, and status artifacts.
• Do not create fake successful newsletters when AI JSON or final Markdown structure fails.
• Do not move content judgment from AI prompts into deterministic script thresholds, except for coarse garbage filtering.
• Do not rewrite HTML or PNG separately from Markdown; Markdown is the single reader-facing source.

Regression Invariants

GOTCHAS.md is the source of truth. The most important invariants are:

• AI owns merge, score, classification, selection, and final writing.
• Structural AI output failures stop the run and write error artifacts.
• Deep reads must be traceable subsets of the brief universe.
• Product Radar is a separate product lane and is linked by the daily umbrella.
• Source Health stays in status/run-report/alerts, not inside the consumer digest body.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: zinan92
• Source: zinan92/daily-newsletter
• License: MIT

Install and usage instructions live in the source repository linked above.