agentic/code/frameworks/research-complete/skills/research-quickref/SKILL.md
AUTO-INVOKE when user mentions research, paper, citation, GRADE, corpus, provenance, literature review, induct paper, evidence, bibliography. Research framework quick reference — discovery phrases for corpus inception, paper acquisition, GRADE quality, citation graphs, provenance-tracked synthesis.
npx skillsauth add jmagly/aiwg research-quickrefInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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This is your always-loaded directory for the AIWG research-complete framework. It does not list every skill. Instead, it teaches the framework's mental model and gives you curated search phrases that map to aiwg discover lookups.
When you find a candidate via aiwg discover, fetch its body with aiwg show <type> <name>. Never use find, ls, Glob, or direct Read on <provider>/skills/ paths — those reflect the kernel-pivot deploy state, not the full surface.
aiwg discover "<phrase>" # find — returns ranked candidates
aiwg show skill <name> # fetch — streams the SKILL.md body
If your platform's Skill tool errors on a non-kernel skill (expected — most aren't kernel), the fallback is aiwg show, never filesystem browsing. Last-resort if aiwg itself is broken: read directly from $AIWG_ROOT/agentic/code/... (the canonical corpus, always present).
aiwg discover "<phrase>" and surface the top match (or top-3) to the userDo not enumerate skills from memory. Discovery is the lookup surface.
Research workflow automation. Builds and maintains a citation-graphed research corpus: discover papers, acquire PDFs, induct sources with structured analysis, assess quality via GRADE, build citation networks, query with grounded answers, and archive with W3C PROV provenance.
| Domain | Covers |
|---|---|
| Discovery & acquisition | Find papers across academic databases, download PDFs, extract metadata |
| Induction & summarization | Bring sources into the corpus with structured analysis and literature notes |
| Quality assessment | GRADE methodology — assess study design, sample size, conflicts, peer review |
| Citation graphs | Build/maintain citation networks, detect gaps, traverse with aiwg index neighbors |
| Querying the corpus | Grounded answers with inline REF-XXX citations |
| Health & integrity | Lint corpus, snapshot state, archive with provenance |
aiwg discover "research workflow" # → research-workflow (score 1.00)
aiwg discover "research discover" # → research-discover
aiwg discover "acquire research papers" # → research-acquire
aiwg discover "best practices audit" # → best-practices-audit
aiwg discover "induct research source" # → induct-research (score 1.00)
aiwg discover "research document summary" # → research-document
aiwg discover "GRADE source quality" # → grade-on-ingest / quality-assess
aiwg discover "research quality audit" # → research-quality-audit
aiwg discover "GRADE distribution report" # → grade-report
aiwg discover "citation network" # → corpus-index-build / citation-backfill
aiwg discover "verify citations" # → verify-citations (score 1.00)
aiwg discover "research gap detection" # → research-gap-detect
aiwg discover "citation guard" # → citation-guard
aiwg discover "format citation" # → research-cite
aiwg discover "research query corpus" # → research-query (score 0.90)
aiwg discover "research status" # → research-status
aiwg discover "snapshot the corpus" # → corpus-snapshot (score 1.00)
aiwg discover "corpus export" # → corpus-export
aiwg discover "research archive" # → research-archive
aiwg discover "research lint" # → research-lint
aiwg discover "create provenance record" # → provenance-create / auto-provenance
aiwg discover "query provenance chain" # → provenance-query / provenance-report
aiwg discover "validate provenance" # → provenance-validate
Research artifacts go under .aiwg/research/:
.aiwg/research/
├── findings/ # REF-XXX literature notes (one per source)
├── citations/ # Citation sidecars (REF-XXX-citations.md)
├── sources/ # Acquired papers (PDFs, metadata)
├── profiles/ # Entity profiles
│ ├── people/ # PROF-P-* author/researcher profiles
│ ├── orgs/ # PROF-O-* organizations
│ ├── funders/ # PROF-F-* funding bodies
│ └── groups/ # PROF-G-* research groups
└── reports/ # GRADE distributions, gap reports, snapshots
REF-NNN — research papers (citation-network nodes)PROF-[POFG]-<slug> — entity profiles (people / orgs / funders / groups)aiwg index neighbors traversal.Quality grading is opinionated and built-in. When inducting:
aiwg discover "<your need, paraphrased>" --limit 5
If a user asks "what research skills are available?", do not list from this skill. Run:
aiwg discover --type skill --limit 20 "<their interest area>"
data-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`.