End-to-end test the polly multi-agent coding orchestrator's critical user journeys (CUJs). Two halves — a deterministic mock-LLM driver (polly_cuj.py) that boots a throwaway local server + mock LLM and asserts the substrate (boot, bridged sys_* tool dispatch, the blast_radius / spawn_bounds / headless_subagent_purpose_guard guardrails, fan-out delegation), and a live real-CLI recipe (real claude/codex/pi, real worktrees/PRs) for polly's actual judgment. Load when developing, testing, or debugging examples/polly — its config.yaml, the claude_code/codex/pi sub-agents, the investigate/fanout/cross-review skills, or the omnigent.inner.nessie.policies guardrails — or reproducing a polly orchestration bug.
$npx -y skills add omnigent-ai/omnigent --skill polly-e2e-devInstalls into the current project.
Run `npx skills use "https://github.com/omnigent-ai/omnigent" --skill "omnigent-ai/omnigent/polly-e2e-dev"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/omnigent-ai/omnigent" that are relevant to the current task. Run `npx skills add "https://github.com/omnigent-ai/omnigent"` and select the relevant skills, then follow their instructions.