All-platform progressive-disclosure skill split + generator (addresses #1106). Splits each platform's skill into a lean core (~615 lines, full default pipeline inline) + on-demand references/, generated from a single source via tools/skillgen with a CI/pre-commit drift gate. 13 hosts split, aider/devin stay monoliths. Also fixes the stale bare-path bugs across the previously hand-maintained variants and moves the always-on blocks into packaged markdown. Verified: all 5 generator guards pass, byte-verbatim load-bearing slices, lean cores self-sufficient on the default path across all 13 split hosts, references gated to non-default branches, description preserves the graphify-out-query-first clause. Supersedes #1119 (Claude-first subset). Known follow-up applied on top: harden _always_on() against a missing packaged file so a partial install can't brick the CLI.
22 lines
1.3 KiB
Markdown
22 lines
1.3 KiB
Markdown
**Step B2 - Dispatch subagents and paste their responses**
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> **No automated subagent tool:** this host has no parallel Agent/Task API, so
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> extraction is driven by hand. Dispatch a subagent per chunk however the host
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> allows (a fresh conversation, a parallel pane), then paste each response back.
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For each chunk of uncached files (20-25 per chunk), give a subagent the extraction prompt below. When it returns, paste its JSON response and write it to that chunk's file so Step B3 can collect it:
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```bash
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# After pasting a subagent's JSON for chunk N, save it (replace N and PASTED_JSON):
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PROJECT_ROOT=$(cat graphify-out/.graphify_root)
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cat > "${PROJECT_ROOT}/graphify-out/.graphify_chunk_0N.json" <<'CHUNK_JSON'
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PASTED_JSON
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CHUNK_JSON
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```
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Repeat for every chunk. Each chunk's JSON must land in its own `graphify-out/.graphify_chunk_NN.json` before Step B3 runs.
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Subagent prompt template:
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See `references/extraction-spec.md` for the exact subagent prompt (JSON schema, node-ID rules, confidence rubric, hyperedge, and vision rules). Load it only here, only when at least one chunk holds a doc, paper, or image; a pure-code corpus has skipped Part B and never reads it. Pass each subagent that prompt verbatim with FILE_LIST, CHUNK_NUM, TOTAL_CHUNKS, and DEEP_MODE substituted, and write its response to that chunk's file.
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