@dom's task-delegation system. Use when @dom needs to hand work to a subordinate bot (@smartballz, @job, @grof2, @nyx, etc.) — it writes a structured task into that bot's root TODO.md or memory; the bot implements it. @dom NEVER implements. Also use bot-side to read your own delegated tasks (dom intake). Commands: dom delegate/tasks/intake/bots.
Report AI token usage, cost, and latency per model and audit that Ollama routing is being enforced. Use when you want to know what tokens/cost went to which model (Ollama vs Haiku/Sonnet/Opus via OpenRouter), what Ollama saved vs paid tiers, the cost-vs-time tradeoff, or to verify the four-tier waterfall is keeping cheap/free work on local Ollama. Invoked as `dom usage` (named dom-usage to avoid colliding with Claude Code's built-in /usage). Reads the log that delegate_task/ask_local write.
Gate any new MCP tool, skill, agent persona, voice profile, or LLM-backed surface behind a behavior eval before shipping. Also enforces skill shape, memory architecture, and workflow-script placement. Invoke when adding, renaming, or relaxing any of the above.
Extracts and classifies form fields from job posting pages. Identifies form system (Workday, Lever, Greenhouse, LinkedIn, custom HTML). Maps resume data to standard fields. Suggests answers for custom fields. Outputs JSON schema showing what the user needs to fill in.
Discovers new job postings matching the user's criteria from major job boards. Runs daily to find roles matching profile.yaml's search section (target_roles, keywords, min_salary, remote_only). Outputs to the discovered_jobs table in data/job_tracker.db for curation.
How to validate a job posting URL before adding it to the pipeline or recommending it to the user. Built from real failures during search sessions — HTTP 200 ≠ active posting, and most ATS systems serve empty pages to scrapers.