Tlamatini Flow From Objective

Flow from objective

Produce a canvas-loadable .flw for the user's stated objective.

> Superseded by the flow-making skill. Prefer flow-making: it drives the > FlowCreator engine (full 83-agent catalog + connection contracts) and emits a > validated, schemaVersion-2 .flw. This skill is kept as an alias/entry point — > do NOT hand-author the .flw JSON, because you do not carry the agent catalog > in context and a hand-written flow hallucinates agent types and will not load.

Procedure (delegate)

1. Invoke the flow-making skill with the same inputs:

invoke_skill('flow-making', { "objective": "${input.objective}", "out_path": "${input.out_path}" }).

1. Return its result verbatim: { flw_path, agent_count, connection_count }.

If you must run it directly

Use the shipped driver — it copies the FlowCreator template to an isolated dir, runs it, and writes the .flw:

python Tlamatini/agent/skills_pkg/flow_making/scripts/make_flow.py \
  --objective "${input.objective}" --out "${input.out_path}"

The last stdout line is agent_count= connection_count= flw_path=.

Correct .flw shape (schemaVersion 2)

If you ever emit .flw JSON by hand, it MUST match the loader contract (acp-file-io.js::loadDiagram / flow_spec.py) — NOT a {version, agents, connections:[{from,to,kind}]} shape (that is obsolete and will not load):

{
  "schemaVersion": 2,
  "nodes": [
    {"id": "starter-1", "text": "Starter", "left": "50px", "top": "50px",
     "agentPurpose": "", "configData": {"target_agents": ["monitor_log_1"]}}
  ],
  "connections": [
    {"sourceIndex": 0, "targetIndex": 1, "inputSlot": 0, "outputSlot": 0}
  ],
  "artifacts": {}
}

See agent/skills_pkg/flow_making/references/flw_schema.md for the full contract.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: XAIHT
• Source: XAIHT/Tlamatini
• License: MIT
• Homepage: https://xaiht.org

Install and usage instructions live in the source repository linked above.