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.

runtime-support/skills/self-evolving-single-agent/SKILL.md

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Last checked: Nov 3, 2026

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Repository stars (not skill ratings): 1,466
Repository last updated: Nov 6, 2026
License: Apache-2.0

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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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SKILL.mdcore · 2,470 bytes
SKILL.mdcore · 2,470 bytes

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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`;