Commit Graph

4 Commits

Author SHA1 Message Date
Matt Van Horn 2ff9b6f6c1 feat(polymarket): outcome-aware scoring and synthesis instructions
- _compute_text_similarity() now checks outcome names with bidirectional
  substring matching (0.85) and token overlap (0.7), not just event titles
- Collect outcomes from ALL active markets per event, filter to >1% price
- Reorder outcome_prices to surface topic-matching outcome before top-3 truncation
- Add SKILL.md "Prediction Markets" synthesis section with structural/long-term
  market preference, domain examples, citation format, and narrative weaving
- Add Polymarket to citation priority list between HN and Web
- Update stats box template to show up to 5 market odds
- Fix render.py "vol24h" label to "volume"
- Add NCAA seed fixture event for outcome-only matching tests
- 82 polymarket tests pass (14 new)

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-26 08:12:45 -08:00
Matt Van Horn 9d9e7e89d9 feat(polymarket): replace position-based ranking with quality-signal relevance
Polymarket results now rank by text similarity, volume, liquidity, price
movement, and competitive score instead of API return position. Also fixes
pagination (DEPTH_CONFIG now controls page count, not a no-op limit param)
and caps results after re-ranking.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 23:07:43 -08:00
Matt Van Horn 994a4ab2ca feat(polymarket): add Polymarket prediction markets as 6th research source
Search Polymarket's free Gamma API for relevant prediction markets on any
topic. Uses smart multi-query expansion to cast a wider net (e.g., "Arizona
Basketball" also searches "Arizona"), merges and dedupes by event ID, and
shows price movement context ("up 22.5% this week"). No API key required.

Also hides sources with zero results from the stats output (all sources).

54 new tests, all passing. Full pipeline integration with scoring, dedupe,
cross-source linking, and rendering.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
2026-02-25 22:27:19 -08:00
Matt Van Horn 5ca4829be4 Initial commit: last30days skill
Research topics across Reddit + X from the last 30 days using
OpenAI and xAI APIs. Features:
- Auto model selection (GPT-5.x, Grok-3)
- Popularity-aware scoring (relevance + recency + engagement)
- Reddit thread enrichment with real metrics
- Near-duplicate detection
- Multiple emit modes (compact, json, context, path)
- 24h caching with --refresh bypass
- NUX for API key setup
- 87 passing unit tests

Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
2026-01-23 12:37:31 -08:00