Individual skill
self-evolving-single-agent
Use when generating a single installable agent that should keep learning, track sources, refresh research, propose repairs, or improve itself over time without becoming a multi-agent team.
codex/plugins/agentlas-core-engine-meta-agent/runtime-support/skills/self-evolving-single-agent/SKILL.md
Source commit 8cce5be3139cc1b56ec59f3a7b03fe8ded734aaa
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- Last checked
- Nov 3, 2026
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Repository context
- Repository stars (not skill ratings)
- 1,467
- Repository last updated
- Nov 7, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-orchestration Repository topic
- agentic-ai Repository topic
- ai-agent Repository topic
- ai-agents Repository topic
- ai-assistant Repository topic
- ai-coworker Repository topic
- autonomous-agents Repository topic
- claude Repository topic
- claude-code Repository topic
- computer-use Repository topic
- research Derived category
- education Derived category
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# Self-Evolving Single Agent
## Procedure
1. Keep the package as one worker unless the user asks for a team.
2. Run `contracts/builder-interview-research-gate.md` before generation: assess
supplied context and ask only material gaps, including zero questions when
sufficient (8-12 only if that many gaps remain). Research official sources, similar agent
repositories or comparables, academic/professional theory, and plugin docs,
compare tool/plugin choices, and write the domain-expert synthesis plus
prompt-performance contract before creating the worker prompt.
3. Add memory architecture even for the single worker:
- `.agentlas/memory-map.json`;
- `.agentlas/vault-references.json`;