
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- Repository
- agentlas-ai/Agentlas-OS1.6k
- 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 sessionrequest, 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
- Ask where the new agent should be written. Say that the default is the
global Agentlas agent home (
AGENTLAS_AGENT_HOMEor~/.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. - 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.
- 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 / INSTEADrules. It is not a chronological summary. - Show the report for owner review. Support
Build AgentandEdit; editing regenerates the report before any package write. - 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.

