executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
simulation-setupCreate and prepare MiroFish simulation setup artifacts from a completed Zep graph, including entity filtering, OASIS profiles, simulation_config.json, realtime setup status, and setup downloads.
Independent GitHub snapshot · Automated classification · Original documentation governs
Use this sub-skill when a task asks to prepare a MiroFish simulation after graph build: create a simulation record, inspect/filter graph entities, generate OASIS Agent profiles/personas, produce simulation_config.json, watch realtime Step 2 setup progress, download setup artifacts, or debug "no matching entities" and partial setup artifacts.
graph-build sub-skill.simulation-run sub-skill after setup is ready.reporting sub-skill after runtime completion.simulation-run./api/simulation setup, entity, profile, config, download, environment-status, or close-env calls and interpreting response fields/statuses.twitter_profiles.csv, reddit_profiles.json, standalone /generate-profiles output, or simulation_config.json shape and platform defaults.python scripts/profile-format-smoke.py --self-test to smoke-check the bundled current profile-file formats without importing MiroFish or starting OASIS. Use --help for options.project_id, a usable graph_id, and a non-empty project simulation_requirement.POST /api/simulation/create; the UI default enables both Twitter and Reddit.GET /api/simulation/entities/<graph_id>?enrich=false first, then narrow with entity_types only after you see available custom labels.POST /api/simulation/prepare. Do not pass runtime max_rounds here; setup generates time/config parameters from the simulation requirement.POST /api/simulation/prepare/status plus realtime profiles/realtime and config/realtime until config_generated is true and the simulation state is ready or the task fails with an explicit error.agent_configs, initial_posts[*].poster_agent_id, enabled platform configs, and state.json flags before proceeding.POST /api/simulation/start, runtime status, interviews, close/stop, and graph-memory updates, switch to simulation-run.