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research
Deep research workflow for technologies, concepts, or complex topics
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
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Deep research workflow for technologies, concepts, or complex topics
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Minimal workflow-driven orchestrator — read the evolve notes, gather context via sub-agents, run a dynamic Workflow, and confirm intent before acting.
Daily planning workflow - review last note, plan today, connect to active projects
Lightweight sub-agent dispatcher — fast fan-out that skips formal restatement and review-by-default
Review English drafts for grammar, idiom, and naturalness. Correct inline with terse explanations.
Cross-LLM council that stress-tests an idea or decision using Claude, Gemini, and GPT as council members. User relays prompts to Gemini and GPT. Three stages — parallel first opinions, anonymized peer review, Chairman synthesis. Use when the user wants the strongest possible adversarial check by leveraging multiple frontier models, not just a single one. Inspired by karpathy/llm-council.
Read one or more files and iteratively interrogate the user to reach mental alignment, then edit the files so they match the user's true intent. Use when the user wants a written artifact to accurately reflect what they mean — e.g. "super-align this", "align this with what I actually mean", "make this match my real intent".
| name | research |
| description | Deep research workflow for technologies, concepts, or complex topics |
evolution.md in this skill's folder (if it exists). Apply accumulated lessons..agents/skills/orchestrate/SKILL.md and its references/inline-mode.md. You will follow orchestrate's full protocol with the supplementations below.
Strictly comply with the instructions in the orchestrate skill. The research skill serves merely as a decorator in Python; it is not the primary function.30_Research/, 40_Wiki/, 20_Project/.Integrate these parts into decomposition output:
30_Research/<Subfolder>/<Topic>.md with topic-appropriate sections (not a fixed template), always ending with ## References/atomic-note to scan the main note./json-canvas)Constraints for implementers:
[[Note]], online [Title](URL), every sourced claim cited, group if many## References section → hard-fail, needs-revisionAppend to synthesis output: