agentic/code/frameworks/research-complete/skills/profile-generate/SKILL.md
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`.
npx skillsauth add jmagly/aiwg profile-generateInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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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-generatedata-ai
Report which research-corpus radar sidecars are overdue for refresh. Computes staleness (days since last refresh vs the cadence window) for every radar, sorted most-overdue-first. Runs via `aiwg corpus radar-status`.
data-ai
Aggregate research-corpus radar sidecars into a corpus or per-cluster freshness report — totals, overdue count, per-cluster / per-GRADE / per-trajectory breakdowns, an overdue table, and per-radar rationale snippets. Runs via `aiwg corpus radar-report`.
testing
Scaffold radar/freshness sidecars for research-corpus REFs. Pulls title/authors from the citation sidecar and GRADE from the analysis doc, defaults the refresh cadence from GRADE and the cluster from a corpus-local map, and stamps documentation/radar/REF-XXX-radar.md. Runs via `aiwg corpus radar-init`.
data-ai
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`.