Slash Command

/gap-list

From cps-ai-research

Identify unresolved questions and recommended primary research.

Invocation

How this command is triggered — by the user, by Claude, or both

Slash command

/cps-ai-research:gap-list

Model invocable

No pre-commands

Tool Access

This command is limited to the following tools:

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Context Preview

The summary Claude sees in its command listing — used to decide when to auto-load this command

# /cps-airesearch:gap-list

**Research Gap List.** Identify unresolved questions and recommended primary research.

## When to use

When the engagement scope explicitly calls for research gap list work in the ai-assisted research domain. Look for keywords like: research, secondary research, source triangulation, citation, evidence.

## Inputs you should gather first

- The engagement `project.json` (industry, service line, regulatory frameworks)
- Relevant client documents already ingested into the brain (run `/cps:graph-query` to find them)
- Any prior CPS AI-Assisted Research deliverables...

Command Content

42 lines · ~449 tokens

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Parent stars0

MaintenanceGood

Last CommitMay 1, 2026

Actions

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Actions

/cps-airesearch:gap-list

Research Gap List. Identify unresolved questions and recommended primary research.

When to use

When the engagement scope explicitly calls for research gap list work in the ai-assisted research domain. Look for keywords like: research, secondary research, source triangulation, citation, evidence.

Inputs you should gather first

The engagement project.json (industry, service line, regulatory frameworks)
Relevant client documents already ingested into the brain (run /cps:graph-query to find them)
Any prior CPS AI-Assisted Research deliverables for cross-reference (central brain)

Steps

Read the engagement project.json and confirm scope includes AI-Assisted Research.
Load the airesearch skill (plugins/ai-research/skills/airesearch/SKILL.md) and any matching industry skill.
Use the relevant subagent(s) — see Integration table below — to do the analysis.
Apply the methodology described in the skill, citing all sources.
Place the deliverable in 05_Deliverables_Final/ per the CPS file-location standard. Filename pattern: airesearch-gap-list-<client>-<YYYYMMDD>.md.
Run /cps:verify-quality before marking the workstream complete.

Output shape

A CPS-branded deliverable with:

Pyramid-Principle structure (recommendation up front)
Source citations on every data point
Recommendation Format used in any advice section
Quality bar items below all checked

Quality bar

Every claim has ≥1 cited source with date and author
Single-source claims are flagged "single-source — verify"
Confidence labels (high/medium/low) are explicit on every conclusion