This is a multi-agent orchestration workflow that breaks research tasks into parallel subtasks, spins up child processes via `codex exec` in sandboxed environments, and assembles their outputs into a polished report file. It enforces a strict execution flow: reconnaissance to scope the problem, decomposition into concrete subtargets, parallel execution with skills or MCP tools for data gathering, programmatic aggregation, then chapter-by-chapter refinement. The workflow prioritizes file artifacts over chat responses and includes detailed logging at every step. Use it when you need systematic competitive analysis, batch link processing, or evidence-driven long-form writing where you want the orchestration logic explicit and auditable rather than handled in a single monolithic prompt.
npx -y skills add feiskyer/codex-settings --skill deep-research --agent claude-codeInstalls into .claude/skills of the current project.
Select a file.
sickn33/antigravity-awesome-skills
moizibnyousaf/ai-agent-skills
github/awesome-copilot