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graphify/tools/skillgen/fragments/dispatch/opencode-mention.md
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Soham Patankar fbe1e9977f feat(skills): progressive-disclosure split for all platforms (generator + drift fence) (#1121)
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.
2026-06-02 20:48:13 +01:00

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Markdown

**Step B2 - Dispatch ALL subagents in a single message (OpenCode)**
> **OpenCode platform:** Uses `@mention` dispatch instead of the Agent tool. All mentions in a single message run in parallel.
Dispatch one `@mention` per chunk — ALL in the same response:
```
@agent Chunk CHUNK_NUM of TOTAL_CHUNKS: [extraction prompt with FILE_LIST, CHUNK_NUM, TOTAL_CHUNKS, DEEP_MODE substituted]
@agent Chunk 2 of TOTAL_CHUNKS: [next chunk]
```
Wait for all agents to return. Parse each response as JSON. Accumulate nodes/edges/hyperedges across all results and write to `graphify-out/.graphify_semantic_new.json`. If the `@agent` path cannot write chunk files, fall back to the serial path that writes each `graphify-out/.graphify_chunk_NN.json` before merge.
Subagent prompt template:
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 agent that prompt verbatim with FILE_LIST, CHUNK_NUM, TOTAL_CHUNKS, and DEEP_MODE substituted.