← ClaudeAtlas

research-deeplisted

Dispatch deep external research to the heaviest isolated execution tier available — a workflow engine, a forked subagent, or inline as last resort — keeping the main conversation clean while the full research discipline runs. Use for broad, multi-source, comparison, or migration research; for a single small lookup use the research skill directly.
melodic-software/claude-code-plugins · ★ 4 · AI & Automation · score 76
Install: claude install-skill melodic-software/claude-code-plugins
## Pre-computed context Current branch: !`git branch --show-current 2>/dev/null || echo "unknown"` ## Purpose `/research-deep` is the **dispatcher** for deep external research — a depth/execution variant of the sibling `/research` skill. Same research contract (3-phase discipline, source-tier ratio, recency gate, mandatory falsification, cited `RESEARCH.md` artifact); heavier execution that keeps the main session's context clean. It selects ONE execution tier from tool availability + task heaviness, then surfaces the same summary contract regardless of tier. This skill runs **inline (main context)** — it dispatches; the chosen tier provides the context isolation. It must run in main context to reach the Workflow tool when one is available (a subagent cannot dispatch workflows). ## Topic $ARGUMENTS If no topic was provided, infer it from the current conversation — identify the technical claim, decision, or implementation being worked on and research that. ## Dispatch decision (multi-topic check, then three tiers) **Multi-topic check — run FIRST, before any tier.** Count the independent sub-topics in the ask (numbered list, enumerated questions, separable subjects that share no claims). **N ≥ 2 separable topics → do NOT dispatch an engine on the combined blob.** An engine decomposes ONE question into generic research *angles*; fed a multi-topic blob, every broad agent researches all N topics shallowly — N× the wall-clock and tokens for worse depth. Instead: spawn **N p