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graphify/tools/skillgen/fragments/dispatch/task-tool-disk.md
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

1.4 KiB

Step B2 - Dispatch ALL subagents in a single message

Uses the Task tool for parallel subagent dispatch. Call Task once per chunk — ALL in the same response so they run in parallel.

Pass the extraction prompt as the task description:

Task(description="Your task is to perform the following. Follow the instructions below exactly.\n\n<agent-instructions>\n[extraction prompt, with FILE_LIST, CHUNK_NUM, TOTAL_CHUNKS, DEEP_MODE substituted]\n</agent-instructions>\n\nExecute this now. Output ONLY the structured JSON response.")

Each subagent writes its result to its own graphify-out/.graphify_chunk_NN.json. Collect results as each Task completes and parse each as JSON.

CHUNK_PATH must be an absolute path — derive it before dispatching:

PROJECT_ROOT=$(cat graphify-out/.graphify_root)
# Then for chunk N: CHUNK_PATH="${PROJECT_ROOT}/graphify-out/.graphify_chunk_0N.json"

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 subagent that prompt verbatim with FILE_LIST, CHUNK_NUM, TOTAL_CHUNKS, DEEP_MODE, and CHUNK_PATH substituted, and have it write the result to CHUNK_PATH.