Research many companies, people, or topics in parallel using the same required fields. The skill coordinates individual research tasks, combines results into a consistent structure, and reports coverage, failed inputs, and remaining gaps.
Use when the user needs broad parallel research across many independent inputs with a shared output schema.
Researches many companies, people, or topics in parallel using the same fields for every input, then combines the findings into a consistent format. It first removes duplicates and normalizes the inputs. A manager subagent then assigns a worker to each input. The combined output includes the total number of inputs, success and failure counts, research results, failed inputs, and notes, making the extent of completed research explicit.
Use it to compare candidate companies or people against shared criteria, or to conduct initial research across a large set of subjects. It suits research where each subject can be investigated independently and the information fields are already defined.
The workflow requires subagents. It is not intended for research on a single subject or tasks where one investigation must finish before the next can begin. Define the required fields and their types beforehand. When completeness matters, retry only failed inputs once, where feasible.
This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.
AI rated this skill on four points using only the contents of its SKILL.md. Stars and popularity are not taken into account.
The total counts each point as A = 25, B = 15, C = 5. Rated by AI (OpenAI Codex) as of Oct 24, 2026. Treat it as a guide and read the original before installing.
Review the instructions the agent will receive before you install.
Coordinate one manager subagent that fans out the same research task across many independent inputs and returns a single normalized result set.
Do not use this workflow for single-item tasks or when subtasks depend on each other.
Use exactly one manager subagent for the overall operation.
Manager input contract:
operation_brief: one concise sentence.inputs: one independent item per element.output_schema: required fields and allowed types.worker_prompt_template: per-input instructions.completion_format: exact JSON object shape for the manager's final response.Manager output contract:
totalsuccess_countfailure_countresultsfailuresnotessuccess_count/total) and unresolved gaps.No reviews yet. Tell others what you thought.
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