Individual skill
refocusing
Use when a long-running agent may have lost the product outcome, when context was compacted, when work has crossed a major boundary, or when a fresh path-based trace is needed before the next consequential action. Not for fresh-session orientation, waking an idle seat, or checkpoints.
packages/daemon/assets/plugins/openrig-core/skills/refocusing/SKILL.md
Source commit 344815052870e4b1be2486350ba52a8d1c6afeb2
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 5, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 8,745
- Repository last updated
- Nov 8, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-harness Repository topic
- agent-orchestration Repository topic
- agent-skills Repository topic
- ai-coding Repository topic
- claude-code Repository topic
- cli Repository topic
- codex-cli Repository topic
- multi-agent Repository topic
- tmux Repository topic
- typescript Repository topic
- engineering Derived category
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SKILL.mdcore · 3,455 bytesSKILL.mdcore · 3,455 bytesSKILL.mdcore · 3,455 bytesSKILL.mdcore · 3,455 bytesSKILL.mdcore · 3,455 bytesSKILL.mdcore · 3,455 bytesSKILL.mdcore · 3,455 bytesSKILL.mdcore · 3,455 bytesreferences/refocus.mddoc · 1,157 bytesscripts/trace-to-root.pyruns · 25,865 bytes
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# Refocusing
Invoke the skill as `refocusing`, its frontmatter name. OpenRig seeds it in the
Claude and Codex global skill roots and includes selected plugin skills in managed
loadouts. Existing externally managed copies remain authoritative. If the harness
has not discovered it yet, read this installed skill file and run its script directly;
hook registration alone does not prove native skill discovery.
Refocus preserves a long session's earned expertise while re-grounding it in current intent and
lived context. It is not a restart, wake, or phase checkpoint.
During an actionable managed restore, consume the current topology and work trace
that actually arrived with the request. Do not rerun Python merely to duplicate it.
If no current trace arrived, name that delivery gap. A packet pointer, compact