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parallel-task-orchestrator

Coordinates parallel leaf subagents (MAX_DEPTH=1) with <hydrated_context> XML bundles and disjoint write-set enforcement.

Skill by gmilen-sketch

IndexedMIT★ 3
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/gmilen-sketch-parallel-task-orchestrator

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About

Coordinates parallel leaf subagents (MAX_DEPTH=1) with <hydrated_context> XML bundles and disjoint write-set enforcement.

Use cases: writing, productivity

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What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 26, 2026.

Tools
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/parallel-task-orchestrator

What's inside

Skill name
parallel-task-orchestrator
Description
Coordinates parallel leaf subagents (MAX_DEPTH=1) with <hydrated_context> XML bundles and disjoint write-set enforcement.
License
MIT
Metadata
icon: 🐝 · version: 3.4.0
Instructions
19 lines in SKILL.md · view on GitHub

Files (3)

  • EVAL.txtpb
  • SKILL.md
  • pdq-extended-guide.md · references/

SKILL.md (first lines)

# parallel-task-orchestrator (v3.4.0 Clean-Room Enterprise Edition)

## Epistemic Reasoning & Grounding Protocol (PD-Q)

1. **Step-1 Complete Causal Reasoning Mandate**: Formulate the complete multi-hypothesis causal plan and failure checks (`F1` Hallucination, `F2` Missed Constraint, `F3` Flag Guessing, `F4` Cross-Workflow Bleeding, `F5` Stale State) before executing mutating tool calls (`TCA = 100%`).
2. **Primary-Source Grounding Contract (`GCS >= 0.85`)**: Anchor every technical claim and metric in verified primary sources: Knowledge Graph SSOT (`/dev/shm/kg_warm_cache.json`), Open Knowledge Format (`kb/`) dossiers, and live tool outputs (`exit_code == 0`).
3. **Progressive Disclosure**: Load extended reference patterns from [`references/pdq-extended-guide.md`](references/pdq-extended-guide.md) on demand.


## Native Agent Swarm (`/swarm`) & Dynamic Python Workflows (`run_workflow`)

1. **Native Multi-Agent Swarm (`/swarm`)**:
   - Spawn parallel workers on a shared board (`board.jsonl`, `members.json`) via `swarm(action="add", name="worker", workspace="share", brief="...")`.
   - Workers may spawn bounded helper sub-workers (`swarm(action="add")`) and coordinate with a 3-minute `swarm_monitor` watchdog.
2. **Dynamic Python Orchestration (`run_workflow`)**:
   - Fan out over independent modules or staged pipelines using `from advanced import parallel, agent, race, retry, fallback, best_of, verify`.
   - Enforce Bernstein disjoint write-set verification (`W_i ∩ W_j = ∅`, `R_i ∩ W_j = ∅`) before merging parallel worker outputs.

From gmilen-sketch/antigravity-web-hub, MIT.

More from gmilen-sketch/antigravity-web-hub

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Last commit (this folder)
Oct 16, 2026 (13 days ago)

From GitHub (fetched Oct 24, 2026).

Details

Version
3.4.0
License
MIT
Repository
github.com/gmilen-sketch/antigravity-web-hub
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
GitHubgithub-graphql

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Cite this page

parallel-task-orchestrator skill. Agent Mart. https://agentmart.dev/skills/gmilen-sketch-parallel-task-orchestrator (last updated 2026-10-24)