Individual skill
loop-research
Use only when the user explicitly invokes /loop-research or names this skill. Authors a loop-research run. Do not use unless named. Do not execute or resume generated runtime node files.
skills/loop-research/SKILL.md
Source commit 3e26e19b91e62dba63c0ab53ad5ba8a670403abb
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
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- Skill scan complete
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- Observed behavior
- Not checked yet
- Last checked
- Nov 5, 2026
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- Repository stars (not skill ratings)
- 78
- Repository last updated
- Sep 23, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- ai-agents Repository topic
- automation Repository topic
- claude-code Repository topic
- skill Repository topic
- multi-agent Repository topic
- orchestration Repository topic
- codex Repository topic
- cursor Repository topic
- prompt-engineering Repository topic
- prompts Repository topic
- research Derived category
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# loop-research — a loop-graph preset for evidence-led choices
A thin authoring entry. It binds a research-and-selection pack, starts the owner
interview, then follows [`loop-graph`](../loop-graph/SKILL.md) to compile the normal
executor, ledger, directives, ops, and supervisor artifacts. It is not a research node,
a second runtime, or a second template set.
## Fit check
- Use this when the approach is undecided and a decision needs comparative evidence from
open-source projects, primary research, and a controlled benchmark or A/B experiment.
- Use [`../loop-deliver/SKILL.md`](../loop-deliver/SKILL.md) once the approach is chosen,
or [`../loop-converge/SKILL.md`](../loop-converge/SKILL.md) for code consolidation.
- For a short answer, one source lookup, or non-comparative literature summary, use the