research-add-items

name	research-add-items
description	Add more items (research objects) to an existing outline.yaml. Optionally launches a web-search subagent to suggest items in the topic's domain.
disable-model-invocation	true
allowed-tools	Bash, Read, Write, Glob, WebSearch, WebFetch, Task, AskUserQuestion, mcp__exa_websearch__web_search_exa, mcp__exa_websearch__web_fetch_exa

Research Add Items — Extend Item List

Trigger

/ultra-research:research-add-items

Manual-only via disable-model-invocation: true. Run between /ultra-research:research and /ultra-research:research-deep whenever the initial item list missed something.

Pipeline Context

Phase 2a of 5 (optional). Edits outline.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-fields, or /ultra-research:research-deep) with (Recommended) annotations based on coverage of the two YAML files.

Workflow

Step 1 — Locate Outline

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

Step 2 — Gather Candidate Items (Two Sources in Parallel)

Use AskUserQuestion to ask both:

• "Which items do you want to add? (free-form list)"
• "Run a web search to suggest more items in this domain? (yes/no)"

⛔ Dispatch-only. If web search is requested, 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 for additional items in the topic's domain, returning each as name: short description. The orchestrator's job is dispatch + read the subagent's structured return, nothing else.

Step 3 — Merge, Deduplicate, Confirm, Save

• Combine user-named items + web-search suggestions
• Deduplicate by name (case-insensitive)
• Show the proposed additions to the user for confirmation
• Append the confirmed items to outline.yaml (preserve existing entries) and save

Step 4 — Inspect Coverage and Route to Next Phase

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

Check	Trigger for (Recommended)
outline.yaml items count	Still < 8 items, OR no category field used → recommend Add more items (run this skill again)
fields.yaml total fields	< 6 fields, OR only one field_categories entry, OR no field with detail_level: detailed → recommend Add more fields

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 again
• Add more fields — run /ultra-research:research-add-fields
• 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}/outline.yaml updated in place, with the appended items echoed back to the user.