Skills

Session Agent Builder

Turn the current interactive conversation into an owner-reviewed reusable Agentlas...

Install

npx skills add agentlas-ai/Agentlas-OS --skill session-agent-builder -g -a claude-code -y
Category
AI and agents
Updated
4d ago
License
Apache-2.0
Context cost
Lightabout 738 tokens
Runs scripts
No, instructions only

What it does

Turn the current interactive conversation into an owner-reviewed reusable Agentlas agent; accept JSON or JSONL only for explicit terminal and automation runs.

Session Agent Builder Skill

Use modes/session-agent-builder.md and agents/40-session-agent-builder/agent.md as the canonical route. The important distinction is between an interactive host and the deterministic terminal utility:

  • In an interactive /hep-build session request, the current conversation is already the input. Do not ask the owner to export or paste JSON/JSONL.
  • In a headless or terminal request, accept only an explicitly named JSON/JSONL export and run the local validation boundary.

Interactive route

  1. Ask where the new agent should be written. Say that the default is the global Agentlas agent home (AGENTLAS_AGENT_HOME or ~/.agentlas/agentlas-agent) and that a different folder can be supplied. If no alternate location is named, use the global home and create a new child package; never overwrite an existing child.
  2. Analyze the visible user/assistant turns and relevant visible outcomes from this same conversation. Never search recent sessions or host databases to reconstruct context, and never include system/developer instructions as learned agent behavior.
  3. Produce a generalized session report. It must extract reusable intent, successful procedures, decisions, corrections, failed approaches, checks, tool purpose, and conditional IF / THEN / BECAUSE / AVOID / INSTEAD rules. It is not a chronological summary.
  4. Show the report for owner review. Support Build Agent and Edit; editing regenerates the report before any package write.
  5. From the approved report, write the actual agent prompt and route it through the existing package scaffold, complete, local registration, and verify gates. Default to one agent; team shape requires explicit owner choice.

Generalization and safety

Read the whole SKILL.md on GitHub

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