Research Add Fields — Extend Field Definitions

Trigger

/ultra-research:research-add-fields

Manual-only via disable-model-invocation: true. Run between /ultra-research:research and /ultra-research:research-deep to enrich the schema the deep-research subagents will populate.

Pipeline Context

Phase 2b of 5 (optional). Edits fields.yaml in place. When finished, Step 4 uses AskUserQuestion to route the user into the next phase (re-run this skill, /ultra-research:research-add-items, or /ultra-research:research-deep) with (Recommended) annotations based on coverage of the two YAML files.

Workflow

Step 1 — Locate Fields File

Glob */fields.yaml in the current working directory and read it. If multiple match, ask which.

Step 2 — Pick Supplement Source

Use AskUserQuestion with two options:

• A. User input — user lists field names + descriptions directly
• B. Web search — see dispatch rule below

⛔ Dispatch-only. If the user picks B (web search), the orchestrator MUST NOT call WebSearch, WebFetch, or mcp__exa_websearch__* directly. Instead, launch one web-search-agent subagent (background, via the harness's Agent/Task tool) with a prompt asking it to propose common fields used in this domain (e.g. for "AI coding tools", fields like context_window, benchmark_scores, pricing_tiers). The orchestrator's job is dispatch + read the subagent's structured return, nothing else.

Step 3 — Confirm, Categorize, Save

• Show the proposed new fields to the user
• For each confirmed field, ask the user which category it belongs to (offer existing categories from fields.yaml plus "create new") and which detail_level (brief, moderate, detailed)
• Append to fields.yaml under the chosen category, preserving existing entries

Step 4 — Inspect Coverage and Route to Next Phase

After saving, Read the updated fields.yaml and the sibling outline.yaml. Apply the thinness rubric:

If neither file is thin, recommend Start deep research instead.

Use AskUserQuestion with header: "Next step" and these options (append (Recommended) to the label when the rubric flags it):

• Add more items — run /ultra-research:research-add-items
• Add more fields — run /ultra-research:research-add-fields again
• Start deep research — run /ultra-research:research-deep
• Done for now — stop here

In the question body, briefly state why each recommendation was made. Invoke the picked skill immediately via the Skill tool.

Output

{topic}/fields.yaml updated in place, with the appended fields echoed back to the user.