Corpus Index Build

Corpus Index Build

Build research graph indices from corpus state. Reads graph definitions from .aiwg/config.yaml and generates by-topic, by-year, authors, and citation-network indices from the current findings and citation data.

Scope: research corpora, not SDLC artifacts. This skill renders the human-readable markdown indices declared under .aiwg/config.yaml graphs: (output paths like indices/by-topic.md) from corpus frontmatter. The CLI command aiwg index build is a separate feature operated by the index skill in aiwg-utils — it builds the SDLC artifact graph at .aiwg/.index/* (JSON nodes/edges/checksums) and does not render the markdown indices listed in index.graphs.indices.manifest. If aiwg index build did not produce your indices/*.md, that is expected — invoke corpus-index-build instead.

Triggers

• "build the research indices"
• "rebuild corpus graphs"
• "update the topic index"
• "index build"
• /corpus-index-build

Parameters

--graph <name> (optional)

Build a single named graph. Must match a key in config.yaml graphs section.

--all (optional)

Build all graphs defined in config, including those not in defaultBuild. Default behavior builds only defaultBuild graphs.

--force (optional)

Rebuild from scratch, ignoring cached state. Default: incremental (only rebuild if source data changed).

--format (optional)

Output format: full (default), summary, or json.

Configuration

Graphs are defined in .aiwg/config.yaml:

graphs:
  by-topic:
    type: cluster
    source: findings
    groupBy: tags
    output: indices/by-topic.md
    defaultBuild: true

  by-year:
    type: timeline
    source: findings
    groupBy: year
    output: indices/by-year.md
    defaultBuild: true

  authors:
    type: entity
    source: findings
    groupBy: authors
    output: indices/authors.md
    defaultBuild: true

  citation-network:
    type: graph
    source: citations
    edges: [outgoing, incoming]
    output: indices/citation-network.md
    defaultBuild: false  # expensive, build on demand

  by-methodology:
    type: cluster
    source: findings
    groupBy: methodology
    output: indices/by-methodology.md
    defaultBuild: false

Execution Flow

Phase 1: Load Configuration

1. Read .aiwg/config.yaml graph definitions
2. Determine which graphs to build:
   • No flags: build all defaultBuild: true graphs
   • --graph <name>: build only the named graph
   • --all: build every defined graph
3. Check for staleness (skip up-to-date graphs unless --force)

Phase 2: Collect Source Data

For each graph, collect the required data:

Cluster graphs (by-topic, by-methodology):

• Scan all findings/REF-*.md frontmatter
• Extract the groupBy field values (tags, methodology)
• Build Map<group, Set<REF-XXX>>

Timeline graphs (by-year):

• Extract year from each finding's frontmatter
• Build Map<year, Set<REF-XXX>> sorted chronologically

Entity graphs (authors):

• Extract authors field from each finding
• Normalize author names (Last, First → canonical form)
• Build Map<author, Set<REF-XXX>>

Citation graphs (citation-network):

• Read outgoing and incoming citation data (from citation-backfill output)
• Build adjacency list: Map<REF-XXX, {outgoing: Set, incoming: Set}>
• Compute: degree distribution, hubs, isolated nodes

Phase 3: Generate Index Files

For each graph, write the index markdown to the configured output path:

Cluster index format (by-topic example):

# By Topic Index

Generated: 2026-04-13T12:00:00Z
Sources: 372 findings

## agentic-workflows (47 papers)

| REF | Title | Year | GRADE |
|-----|-------|------|-------|
| REF-001 | Multi-Agent Orchestration | 2024 | High |
| REF-016 | AutoGen Framework | 2023 | High |
...

## multi-agent-systems (31 papers)
...

Citation network format:

# Citation Network

Nodes: 372 | Edges: 1,247 | Density: 0.009
Avg degree: 6.7 | Max hub: REF-016 (34 edges)

## Top 10 Hubs
| REF | Title | In | Out | Total |
...

## Isolated Nodes (0 edges)
| REF | Title | Reason |
...

Phase 4: Report

Corpus Index Build
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

Graphs built: 3 / 3
  by-topic:          47 groups, 372 papers  → indices/by-topic.md
  by-year:           8 years, 372 papers    → indices/by-year.md
  authors:           412 authors, 372 papers → indices/authors.md

Skipped (not in defaultBuild):
  citation-network:  use --graph citation-network to build
  by-methodology:    use --graph by-methodology to build

Staleness Detection

Each index file stores a Generated: timestamp and a source checksum. On incremental builds:

1. Compute checksum of all source frontmatter
2. Compare against stored checksum in the index file
3. Skip if identical (report "up to date")
4. Rebuild if different

Integration Points

Examples

# Build default graphs (by-topic, by-year, authors)
/corpus-index-build

# Build a specific graph
/corpus-index-build --graph citation-network

# Build everything including optional graphs
/corpus-index-build --all

# Force full rebuild
/corpus-index-build --force

# JSON output for programmatic use
/corpus-index-build --format json

References

• @$AIWG_ROOT/agentic/code/frameworks/research-complete/skills/citation-backfill/SKILL.md — Prerequisite for citation-network graph
• @$AIWG_ROOT/agentic/code/frameworks/research-complete/skills/research-gap-detect/SKILL.md — Consumes citation-network
• @$AIWG_ROOT/agentic/code/frameworks/research-complete/skills/corpus-snapshot/SKILL.md — Reads index metrics
• @$AIWG_ROOT/src/artifacts/cli.ts — Existing aiwg index build infrastructure