| name | feed-curator |
| description | Fetch raw feed items from feed-server to Inbox/feeds/raw/ with dedupe and noise filter.
Does NOT summarize, classify P0-P3, write knowledge notes, or update daily note — those steps are removed (2026-05-01 redesign: AI no longer authors substance into knowledge/).
Trigger on: /feed-curator, "fetch feeds", "pull feeds", scheduled cron.
Skip when: user wants summaries or analysis (use /knowledge after triage instead).
|
Feed Curator (raw-fetch only)
Pull unprocessed items from feed-server, write raw markdown to Inbox/feeds/raw/, mark processed. No AI summarization. Panda triages himself.
Why this skill is thin
Earlier versions scored items P0-P3, deep-read articles, wrote knowledge notes, and appended digests to the daily note. That generated AI-authored substance into knowledge/ and polluted Panda's brain layer.
New scope: fetch-only. The skill is the pipe; Panda is the editor.
If you want summaries, after fetch run /knowledge backfill (structural) or read items individually and use /knowledge promote to graduate worthwhile items.
Prerequisites
- Feed server running at
localhost:3456
- Personal vault at
<personal-vault> (resolved from session env)
Step 1: Fetch unprocessed items
curl -s http://localhost:3456/items?unprocessed=1
Returns JSON array: id, title, url, description, source_type, source_name, pub_date, first_seen_at.
If empty → report "nothing to process" and stop.
If >100 items → process oldest 100, note remainder for next run.
Step 2: Filter noise
Skip items matching:
- coupon / promo code / discount code /
% off / "deal" patterns
- single-word titles
- already-exists path (filename collision in
Inbox/feeds/raw/<date>/)
No P0-P3 scoring. No "trusted source" promotion. Filter is binary: noise or not.
Step 3: Write raw items
For each non-noise item:
Path: <personal-vault>/Inbox/feeds/raw/YYYY-MM-DD/{slug}.md
Slug: lowercase, non-alphanumeric → hyphens, max 60 chars.
Template:
---
date: YYYY-MM-DD
type: feed-raw
source: {url}
source_name: {source_name}
pub_date: {pub_date}
fetched_at: {ISO8601}
origin: ai-fetched
---
# {title}
{description}
[Source]({url})
Create date directory if missing. Skip if file already exists (dedup).
Do NOT:
- Run
bird read / defuddle parse / summarize for full content (Panda triggers per-item if interested)
- Write to
knowledge/
- Append to daily note
- Write
source-quality.json signals (knowledge-ship handles signal generation now)
Step 4: Mark processed
curl -s -X POST http://localhost:3456/items/processed \
-H "Content-Type: application/json" \
-d '{"ids": ["id1", "id2", ...]}'
Include all fetched IDs (raw-written and noise-skipped).
Step 5: Report
[feed-curator] fetched N items, wrote M raw, skipped N-M as noise
[feed-curator] Inbox/feeds/raw/YYYY-MM-DD/ now has M new items
[feed-curator] next: Panda triages → /knowledge promote <path> for keepers
Anti-scope-creep notes
If you find yourself wanting to:
- Score items by priority → STOP. Panda scores at triage time.
- Deep-read articles → STOP. Panda triggers per-item.
- Write digest to daily note → STOP. Daily note is Panda's capture, not AI's report.
- Update
knowledge/ notes → STOP. AI never writes substance to knowledge/.
If any of these feels needed, the request belongs in a different skill (/knowledge, daily-distill — which is paused), not here.
