LLMSkillHub
mirroredCopied from nanoAgentTeam/research-claw under MIT. nanoAgentTeam has not claimed this page, and is not affiliated with LLM SkillHub.

nanoagentteam / conference-tracking

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。

0
SKILL.md
3.5 KB

[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