parallel-dispatch

parallel-dispatch is a skill for Claude Code, Codex from irahardianto/awesome-agv. It costs 49 tokens per session (2,637 once invoked), scanned A, original, MIT.

A skill for splitting work among multiple coding agents while assigning each agent separate files or modules. MECE means the work is divided into parts that do not overlap and leave nothing out; a DAG is a dependency map showing which tasks must come first.

In plain words
What is it for?
Use it to break a project task into independent pieces, map dependencies, assign ownership, and merge the results safely, including when agents delegate further work.
Why use it?
It reduces conflicting edits and merge problems when several agents work at the same time.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; installed under .agents/ (shared by several agents).

Good fit Use it to break a project task into independent pieces, map dependencies, assign ownership, and merge the results safely, including when agents delegate further work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/irahardianto/awesome-agv/parallel-dispatch
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add irahardianto/awesome-agv --skill parallel-dispatch
Clone the repo
git clone --depth 1 https://github.com/irahardianto/awesome-agv

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for parallel-dispatch

README.md
[![agentmods](https://agentmods.dev/badge/skills/irahardianto/awesome-agv/parallel-dispatch/github.svg)](https://agentmods.dev/skills/irahardianto/awesome-agv/parallel-dispatch)
Your own site
<a href="https://agentmods.dev/skills/irahardianto/awesome-agv/parallel-dispatch"><img src="https://agentmods.dev/badge/skills/irahardianto/awesome-agv/parallel-dispatch/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for parallel-dispatch

Your own site · 80×15
<a href="https://agentmods.dev/skills/irahardianto/awesome-agv/parallel-dispatch"><img src="https://agentmods.dev/badge/skills/irahardianto/awesome-agv/parallel-dispatch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,637 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00049 $0.02637
Opus 5.5 $0.00020 $0.01055
Sonnet 5.5 $0.00010 $0.00527
Haiku 4.5 $0.00005 $0.00264

Measured 1mo ago against content hash 9f74b8abb28c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

parallel-dispatch scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/parallel-dispatch/SKILL.md · 245 lines

How it starts

The opening of the file, as written. The whole thing — 245 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Parallel Dispatch

Safe parallel execution of multiple agents within the same domain. This skill defines the safety invariants — the constraints that, if maintained, guarantee conflict-free merges by construction.

Recursive by design. These invariants apply at every nesting depth. A @backend-engineer[auth] that spawns sub-subagents for [auth-login] and [auth-registration] must apply the same decomposition, ownership, and merge rules internally.

When to Invoke

  • Before dispatching multiple instances of the same agent type within a primitive
  • When any agent (at any depth) needs to parallelize its own workload across sub-subagents
  • When re-planning after a sub-task failure

1. Decomposition

Break work into parallelizable, MECE sub-tasks. Each gets a scope card.

Protocol

  1. Inventory — List all concrete deliverables (files, modules, endpoints, tests)
  2. Cluster by feature — Group by vertical feature slice, not technical layer
  3. MECE validate — No file in two clusters. No deliverable unassigned.
  4. Dependency scan — Mark hard (blocks) vs soft (beneficial but not blocking) dependencies
  5. Produce scope cards
  6. Cap check — >5 instances of same agent type → prompt user

Critical anti-pattern: Layer-based decomposition (handlers/, services/, repos/) creates cross-cutting dependencies. Always use feature-based clustering (auth/, tasks/, notifications/).

Scope Card Format

### Scope Card: @<agent-type>[<scope>]
- **Deliverables**: <list of concrete outputs>
- **Write Scope**: <glob pattern for exclusive write access>
- **Shared Reads**: <glob patterns for read-only access>
- **Hard Dependencies**: <scope cards that must complete first>
- **Soft Dependencies**: <scope cards that are beneficial but not blocking>

Rules:

  • Every card has at least one concrete deliverable
  • Every card has a write scope (glob pattern)
  • Write scopes between agents MUST be disjoint
  • Scope names use kebab-case: [auth], [task-crud], [user-profile]
  • Empty scope cards are invalid — merge with adjacent cluster

Read the full file on GitHub · 245 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago First seen · 245 lines · 49 tokens per session scan A 9f74b8abb28c

Subscribe to this mod's changes

parallel-dispatch is a skill published in the GitHub repository irahardianto/awesome-agv (156 stars, last pushed 9d ago), licensed MIT. It adds 49 tokens to every session and 2,637 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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