// Scaffold compact PROF-P entity profiles for unprofiled hub authors — ranks corpus REFs by citation in-degree, takes each top REF's primary author, skips institutional/group names and already-profiled people. Runs via `aiwg corpus profile-generate`.
| namespace | aiwg |
| platforms | ["all"] |
| name | profile-generate |
| description | Scaffold compact PROF-P entity profiles for unprofiled hub authors — ranks corpus REFs by citation in-degree, takes each top REF's primary author, skips institutional/group names and already-profiled people. Runs via `aiwg corpus profile-generate`. |
| commandHint | {"argumentHint":"[--limit N] [--scan N] [--write]","allowedTools":"Read, Bash, Write","model":"sonnet","category":"research-profiles"} |
Generate Tier-1 PROF-P entity profiles for the corpus's most-cited authors who
don't have a profile yet — the bulk profile-induction pass.
aiwg corpus profile-generate # dry-run: list the PROF-P profiles it would create
aiwg corpus profile-generate --write # write them (skips existing)
aiwg corpus profile-generate --limit 10 --write
aiwg corpus profile-generate --scan 100 --limit 40 --write
aiwg corpus profile-generate --fm --write # FM-author PROF-P + group PROF-G from fm-config.yaml
--fm — foundation-model author/group profiles--fm runs the FM pass (port of build_fm_profiles.py): it reads a corpus-local
documentation/profiles/fm-config.yaml and scaffolds PROF-P profiles for the
top-N authors of each listed FM paper plus PROF-G group profiles for team-authored
releases. The FM-paper list and group specs are corpus data, not built-in:
# documentation/profiles/fm-config.yaml
fm-papers:
REF-052: { model: "GPT-3", top-authors: 5 }
REF-835: { model: "Llama 3", group: PROF-G-llama-team }
groups:
PROF-G-llama-team:
name: "Llama Team — AI @ Meta"
parent-org: "Meta AI Research"
parent-slug: PROF-O-meta-fair
refs: [REF-835]
Absent file → no-op. Institutional/team author names are skipped from PROF-P.
--write creates files; existing profiles are skipped.--scan N = how many top-in-degree REFs to consider (default 60);
--limit N = max profiles to generate (default 25).affiliation is left blank for manual enrichment;
corpus-refs is written as a list of REF-id strings./profile-generateBuild the bipartite funder↔paper analytics — per-funder paper/A-grade/mean-grade rollup, mean CD-index + novelty bias, and co-funding clusters. Runs via `aiwg corpus funder-network`.
Detect co-author communities (label propagation), report modularity Q, and identify bridge authors (high betweenness). Runs via `aiwg corpus profile-communities`.
Compute corpus-local influence/centrality metrics — per-paper CD-index + PageRank, and per-PROF-P h-index / mean-CD / mean-PageRank / betweenness / eigenvector + influence grade. Runs via `aiwg corpus profile-metrics`.
Compute an entity's publication trajectory — per-year paper counts, topic drift, hot-streak detection (≥3 consecutive A-grade years), and career phase. Runs via `aiwg corpus profile-temporal`.
Scaffold a PROF-S source/curator profile for a research-corpus discovery curator (account/feed) from its handle. Runs via `aiwg corpus curator-init`.
Report research-corpus discovery curators (PROF-S) ranked by yield (return-to score = inducted-ref-count × avg GRADE), with revisit-cadence staleness and a discovery-orphan check. Runs via `aiwg corpus curator-status`.