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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.

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查看安装方法

包含的文件(1)

  • SKILL.md2.3 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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: ask an 8-12 question first batch, 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;
    • project memory owned by PM Soul/project owner;
    • Memory Events and Memory Tickets for durable updates.
  4. If the task depends on current sources, add a research-refresh command, watchlist memory section, references, and optional scheduled workflow.
  5. Add docs/builder-interview.md, docs/research-sources.md, docs/tool-selection.md, docs/domain-expert-synthesis.md, docs/prompt-performance-contract.md, and .agentlas/capability-eval-plan.json unless explicitly creating a minimal private scaffold.
  6. Make self-evolution proposal-first: draft patches or repair kits, then wait for human approval before changing tools, connectors, secrets, or core instructions.
  7. Add .agentlas/global-commands.json and one public global command for the worker across Claude Code, Codex, Antigravity, generic AGENTS.md, and terminal adapters.

Output

Return agent_package, skills, memory_contract, refresh_loop, approval_gate, global_commands, and verification.

File revision approval

Private memory curation is autonomous. Every instruction, skill, tool, or manifest change requires a real staged multi-file diff, current source evidence, and an exact one-use owner approval receipt. Never treat a summary, low-risk label, Curator verdict, shell flag, or legacy chip as approval. Project memory requires a separately curated agent_repo candidate before proposal preparation. Use revision-v1/evolution-v2 host capabilities; block activation on older hosts.

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同一仓库的技能

Use when designing a new multi-agent team, visible agents folder, role boundaries, handoff flow, PM Soul, Memory Curator, Policy Gate, or evaluation role. Use for agent-team repo creation even when the user only says they want a meta-agent or agent operating system.

中文简介正在准备中。当前显示原文说明。

agentlas-ai/Agentlas-OS16142026年10月20日 更新

agentlas

免费

Single entry point for every Agentlas command: /agentlas network, /agentlas build, /agentlas storm, /agentlas graph, /agentlas one, /agentlas upload, /agentlas cloud, /agentlas hub, /agentlas local, /agentlas browser, /agentlas call, /agentlas search, /agentlas connect.

中文简介正在准备中。当前显示原文说明。

agentlas-ai/Agentlas-OS16142026年10月20日 更新

agentlas

免费

Single entry point for every Agentlas command: /agentlas network, /agentlas build, /agentlas storm, /agentlas graph, /agentlas one, /agentlas upload, /agentlas cloud, /agentlas hub, /agentlas local, /agentlas browser, /agentlas call, /agentlas search, /agentlas connect, /agentlas login, /agentlas orch, /agentlas update.

中文简介正在准备中。当前显示原文说明。

agentlas-ai/Agentlas-OS16142026年10月20日 更新

Use when adding or auditing local runtime behavior that turns a project folder into an Agentlas-aware workspace with .agentlas memory and sitemap files.

中文简介正在准备中。当前显示原文说明。

agentlas-ai/Agentlas-OS16142026年10月20日 更新

Use the Agentlas browser hardpoint for browser-required work.

中文简介正在准备中。当前显示原文说明。

agentlas-ai/Agentlas-OS16142026年10月20日 更新

Use when the user types /agentlas-browser <url-or-query>, /agentlas browser, or /hep-browser for browser-required tasks, rendering pages, form flows, or visual evidence.

中文简介正在准备中。当前显示原文说明。

agentlas-ai/Agentlas-OS16142026年10月20日 更新

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