name: goal-manager description: > Parses natural-language intentions into Structure DNA goal entries (G-xxx). Version: 1.1 Author: Entropy Control Theory License: MIT
Based on: Structure DNA v1.0, M-PPS v1.0, LLC v1.0, PROFILE-GENERATOR-SPEC v1.0

goal.manager — v1.1

Goal

Turn a user's natural-language intention into a schedulable G- entry following the Structure DNA Field Genome and Unified State Machine.
v1.1 Extension: Ensure that /ledger/profile.json exists before creating any goals, providing energy-context initialization for downstream scheduling.

Inputs

Outputs

Writes a new entry to /ledger/goal.json:

Required

• id (G-xxx)
• title
• status = "open"
• created_at, updated_at

Optional

• goal_id (linking)
• tags, notes, related_entries
• dispatch_to = "personal.schedule.manager" (suggested downstream Skill)

Mechanism

1. (NEW) Ensure /ledger/profile.json exists
   • Call ensure_profile(ledger_dir="/ledger") before parsing intent.
   • This guarantees the personal energy preferences ledger is available for all subsequent scheduling.
2. Parse intent → extract Primitive IR → compile into Structure DNA fields.
3. Initialize unified state = open (do not schedule here).
4. If any constraints.start|due|duration are included, store them as metadata only.
5. Optionally attach dispatch_to = "personal.schedule.manager" for automated scheduling.

Pseudocode

def create_goal(intent, constraints=None, ledger_dir="/ledger"):
    # 1. Ensure personal profile ledger exists (NEW)
    ensure_profile(ledger_dir)

    # 2. Parse and compile to Structure DNA format
    goal_entry = {
        "id": new_id("G-"),
        "title": normalize_intent(intent),
        "status": "open",
        "tags": extract_tags(intent),
        "notes": constraints.get("notes") if constraints else None,
        "created_at": now_iso(),
        "updated_at": now_iso(),
        "dispatch_to": "personal.schedule.manager"
    }

    # Merge additional metadata
    if constraints:
        goal_entry.update(constraints)

    append_to_ledger(f"{ledger_dir}/goal.json", goal_entry)
    return goal_entry

Example

Input

{
  "intent": "Finish and publish Structure DNA whitepaper by November",
  "constraints": {
    "tags": ["writing", "StructureDNA"],
    "due": "2025-11-30T23:59:00-05:00"
  }
}

Output

{
  "id": "G-001",
  "title": "Finish and publish Structure DNA whitepaper by November",
  "status": "open",
  "tags": ["writing","StructureDNA"],
  "created_at": "2025-11-03T12:00:00-05:00",
  "updated_at": "2025-11-03T12:00:00-05:00",
  "dispatch_to": "personal.schedule.manager",
  "related_entries": []
}

Notes

• Ensures cold-start stability: even if the user has never configured preferences, the system auto-creates /ledger/profile.json using profile.schema.json and profile.defaults.json.

• Does not alter scheduling logic; it simply guarantees the environment is ready for downstream energy-aware execution.

• Fully compatible with:

  • ledger.registry v1.1 (auto-checksum and manifest sync)
  • personal.schedule.manager v1.1 (energy-aware scheduling)
  • reflection.manager v1.1 (energy feedback logging)

• This change completes the minimal “Language → Structure → Scheduler” initialization chain.

“Every goal now begins with awareness of time, energy, and rhythm.” — Entropy Control Theory, 2025

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