Individual skill
plan-arbiter
Use when asked to compare, cross-review, merge, judge, choose, or arbitrate competing plans from multiple agents such as Codex and Claude Code; when given two or more proposed plans, session IDs, transcripts, plan documents, PR descriptions, or pasted strategies; or when the user wants one recommended execution plan after agents review each other's proposals.
templates/tasks/.agents/skills/plan-arbiter/SKILL.md
Source commit ff01b4009091c2140edb34d6f790ec64e7823356
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 2, 2026
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Repository context
- Repository stars (not skill ratings)
- 7,637
- Repository last updated
- Nov 7, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agents Repository topic
- ai Repository topic
- react Repository topic
- agent-native Repository topic
- typescript Repository topic
- agent-framework Repository topic
- agentic-ai Repository topic
- ai-agents Repository topic
- framework Repository topic
- generative-ui Repository topic
- engineering Derived category
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README.mddoc · 1,353 bytesSKILL.mdcore · 4,096 bytesSKILL.mdcore · 4,096 bytesSKILL.mdcore · 4,096 bytesagents/openai.yamlasset · 224 bytes
Read excerpt
# Plan Arbiter
Turn competing plans into one executable direction. Preserve the best ideas,
reject weak assumptions, and produce a clear handoff instead of a blended mush.
## Workflow
1. Collect the source plans.
2. Normalize each plan into comparable claims.
3. Cross-review the plans against each other and the real codebase or task
context.
4. Choose a winner, merge a better hybrid, or send the plans back for revision.
5. Produce one execution handoff with verification gates and rejected
alternatives.