| name | comprehensive-survey |
| description | Automated full-spectrum research survey. Uses litian-academic-search (7-source) for academic papers + WebSearch site: filters for social media. Ingests all found papers via paper-read --light. Produces structured FINAL_REPORT.md per topic + concept glossary with pseudocode. Use when user wants "全面调研", "综合调研", "survey this topic", "调研一下", "帮我全面了解一下这个方向". |
Comprehensive Survey Pipeline
Automated multi-source survey: academic papers via litian-academic-search + social media via WebSearch + auto-ingestion into OmniBox.
Pipeline
Topic(s) → litian-academic-search (all sources) + social WebSearch
│
├─ P1: Academic search per topic
├─ P2: Social platform search (WebSearch site: filters)
├─ P3: Ingest all found papers → paper-read --light
├─ P4: Comprehensive paper list (dedup, sort, link)
├─ P5: Concept extraction + glossary with pseudocode
├─ P6: Compile FINAL_REPORT.md per topic
└─ P7: README + verification
Parameters
Parse from $ARGUMENTS:
- Topic(s): one or more research directions
--depth <quick|standard|deep> — papers per topic: quick=15, standard=30, deep=50. Default: standard.
--output <dir> — output directory
Phases
P1: Academic Search
For each topic:
/litian-academic-search "<TOPIC>" --sources all --k <K>
/litian-academic-search "<topic> survey review" --sources arxiv,s2,web --k 5
K = depth: quick=8, standard=15, deep=25.
P2: Social Search
WebSearch "<中文关键词> site:bilibili.com"
WebSearch "<topic> site:zhihu.com"
WebSearch "<english topic> site:x.com"
WebSearch "<topic> site:reddit.com"
WebSearch "<topic> blog deep dive"
P3: OmniBox Ingestion
For every top-k paper found: paper-read <arxiv_id> --topic <detected> --light
P4: Comprehensive Paper List
Deduplicate across all topics + sources. Write paper_list_comprehensive.md.
P5-P7: Concept Extraction + Reports + README
Standard structure. See references/output-spec.md for exact formats.
Depth Presets
| Preset | Papers/topic | litian-academic-search --k | Social | Report |
|---|
| quick | ~15 | 8 | Skip or 1-2 | 500+ lines |
| standard | ~30 | 15 | All 5 platforms | 800+ lines |
| deep | ~50 | 25 | All 5 + deep dive | 1000+ lines |
Calls
- litian-academic-search (P1)
- paper-read --light (P3)
Called by
manual invocation, survey-to-deck (as step ① of the pipeline)