conference-tracking

name	conference-tracking
description	会议录用结果跟踪与趋势分析 — 当用户想追踪主流学术会议（ICLR/ICML/NeurIPS/AAAI/ACL等）的录用情况、分析录用趋势、或结合自身项目获取投稿建议时激活。
allowed-tools	["web_search","web_fetch","read_file","memory_nav","memory_list","memory_get","memory_write"]

[SKILL: CONFERENCE TRACKING PROTOCOL]

Activate when: user asks to track conference results, analyze acceptance trends, 会议跟踪, 会议录用, 录用结果分析, or wants submission advice based on conference patterns.

Execution Protocol

Step 1 — Check Memory for Previously Tracked Conferences

Call memory_nav(domain='job') to find previous tracking records under scope job:radar.conference.track. Read recent entries (via memory_list then memory_get) to determine:

• Which conferences have already been tracked and when
• What was the analysis cutoff date for each conference

Step 2 — Discover New Conference Results

Search for conferences that have published new acceptance results since the last tracking. Use web_search with queries like:

• "ICLR 2026 accepted papers announced"
• "NeurIPS 2025 accepted papers list" Focus only on conferences where results are NEW (not yet in memory).

Step 3 — Fetch the Official Full Paper List (mandatory)

For each conference with new results:

1. Navigate to the official accepted papers page — e.g.:
   • OpenReview: openreview.net/group?id=ICLR.cc/YEAR/Conference
   • Virtual site: conference.cc/virtual/YEAR/papers.html
   • Proceedings: proceedings.mlr.press/vXXX/ (ICML), papers.nips.cc/paper_files/paper/YEAR (NeurIPS)
2. Use web_fetch on the official URL to retrieve the full paper list.
3. Do NOT fall back to arxiv keyword search as a substitute for the official list. The goal is the complete, official acceptance record — not a keyword-filtered subset.
4. If the page is too large, fetch the proceedings index or category listing pages.

Step 4 — Analyze Overall Trends from the Full List

From the complete paper list, identify:

• Top directions by paper count (cluster similar titles by topic)
• Emerging topics (strong presence this year vs. previous years)
• Methodology signals (theoretical vs empirical, large-scale vs efficient, benchmark types)
• Acceptance rate context (if available: total submissions vs acceptances)

Step 5 — Project-Relevant Subset Analysis

Using the project's research topic (extracted in Phase 1/2 of the radar protocol):

• Filter the full list for papers in the same or adjacent research area
• Identify papers directly competitive with or complementary to the project
• Note what properties the accepted papers in this area share (what seems to be rewarded)

Step 6 — Actionable Recommendations for the Project

Provide specific, evidence-based advice:

• Target venue: which conference best fits, based on acceptance trends
• Strengthen: what to add or emphasize based on what reviewers seem to reward
• Mitigate risks: what weaknesses to address based on apparent rejection signals
• Competitive positioning: how to differentiate from accepted papers in the same area

Step 7 — Record Execution in Memory

Call memory_write at the end:

• kind: "job_run"
• scope: "job:radar.conference.track"
• intent: "job_progress"
• ttl: "90d"
• Content must include: which conferences were checked, which had new results, brief trend summary, date of this execution