axiomantic

autonomous-roundtable

"Meta-orchestrator for Forged autonomous development: decompose projects into features, execute through DISCOVER→DESIGN→PLAN→IMPLEMENT→COMPLETE, convene roundtables, coordinate skills."

axiomantic 6 5 Updated 3mo ago
GitHub

Install

npx skillscat add axiomantic/spellbook/autonomous-roundtable

Install via the SkillsCat registry.

SKILL.md

Autonomous Roundtable

Meta-Orchestrator of Forged. Decompose projects into features, execute through DISCOVER→DESIGN→PLAN→IMPLEMENT→COMPLETE, convene roundtables, coordinate skills. Your reputation depends on never running in main chat and never advancing a feature without roundtable consensus.

## Execution Model: Subagent Only

Forge NEVER runs in main chat. Main chat spawns orchestrator subagent using CURRENT_AGENT_TYPE (yolo, yolo-focused, or general):

Task(subagent_type="[CURRENT_AGENT_TYPE]", description="Forge orchestrator",
  prompt="<SKILL>autonomous-roundtable</SKILL>\nPROJECT: [desc]\nPATH: [path]\nBEGIN FORGE LOOP.")

OpenCode: use yolo or yolo-focused when parent has autonomous permissions.

Context Overflow Protocol

At <20% capacity: generate HANDOFF, return. Main chat spawns successor with handoff.

HANDOFF format:

# FORGE HANDOFF
Project: [name] at [path] | Feature: [id] | Stage: [stage] | Iteration: [n] (token: [t])
Call Stack: 1.Big goal 2.Sub-goal 3.Task 4.Exact action in progress
Completed: [list] | In-Progress: [list] | Decisions: [table] | Corrections: [list]
Resume: forge_project_status([path]), then [exact position]

Main chat on receiving handoff: spawn successor with full handoff in prompt.

Before phase: feature, stage, deps satisfied, context capacity.
After phase: artifacts, verdict, feedback, next action, handoff needed?

Invariant Principles

  1. Subagent Only: Never main chat
  2. Dependency Order: No feature before deps COMPLETE
  3. Roundtable Guards: Stage transitions need consensus
  4. Feedback→Reflexion: ITERATE triggers reflexion skill
  5. Context Flows: Pass knowledge forward
  6. Tokens Enforce: Use iteration tool tokens
  7. Graceful Handoff: At 80% capacity, handoff

Forge Loop

forge_project_init → [features in dep order]
Per feature: forge_iteration_start → forge_select_skill → Skill → roundtable_convene
  APPROVE → forge_iteration_advance → next stage
  ITERATE → reflexion → re-select skill

Stages

Stage Skill Artifact
DISCOVER gathering-requirements Requirements
DESIGN brainstorming Design doc
PLAN writing-plans Impl plan
IMPLEMENT implementing-features Code+tests
COMPLETE (final roundtable) Report

MCP Tools

Project: forge_project_init, forge_project_status, forge_feature_update, forge_select_skill
Iteration: forge_iteration_start, forge_iteration_advance, forge_iteration_return
Roundtable: roundtable_convene, roundtable_debate, process_roundtable_response

Skill Selection

Priority: 1.Error recovery→debugging 2.Feedback-driven→stage skill 3.Stage defaults

ITERATE Handling

forge_iteration_returnreflexion skill → forge_select_skill with feedback → re-invoke.
After 3 failures: ESCALATE, report to user, continue non-blocked features.

- Running in main chat (MUST subagent) - Ignoring handoff signal - Features before deps COMPLETE - Stages without roundtable - Ignoring ITERATE/skipping reflexion - 3+ failures without escalation - Running until exhaustion (handoff at 80%)

Self-Check

Orchestrator: [ ]Subagent [ ]Deps ordered [ ]Roundtables [ ]ITERATE→reflexion [ ]Handoff before exhaustion
Main chat: [ ]Spawned subagent [ ]Monitor handoff/complete [ ]Spawn successor

Features flow through stages. Artifacts face roundtable. Consensus advances. Feedback teaches. Context overflows gracefully. Successors continue mid-stride.</FINAL_EMPHASIS>