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Agent skill

Parallel Agent Delivery

by cbrock84 in cbrock84/headcount

Splits work across multiple agents or sessions running at once, keeping their surfaces disjoint so results merge cleanly.

MITAuto-check passedAgent Workflows

Install Parallel Agent Delivery

skills CLI
$ npx skills add cbrock84/headcount --skill parallel-agent-delivery -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install cbrock84/headcount parallel-agent-delivery --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/cbrock84/headcount.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/technology/skills/parallel-agent-delivery .claude/skills/parallel-agent-delivery && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
parallel-agent-delivery
GitHub stars
2k
Token cost
~564 tokens
SKILL.md length
297 words
Files
2 (incl. references)
Skills in repo
175
Repo updated
First seen
Licence
MIT

At a glance

Splits work across multiple agents or sessions running at once, keeping their surfaces disjoint so results merge cleanly.

  • Works in 3 steps: Disjoint write surfaces — no two agents… → No sequential dependency — none needs… → Independently verifiable — each result…
  • Tasks that involve Subagents
  • SKILL.md covers When it is safe, Dispatching, Read-only fan-out is the easy… and Integrating, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Parallel Agent Delivery is an agent skill from cbrock84/headcount. Splits work across multiple agents or sessions running at once, keeping their surfaces disjoint so results merge cleanly. Use this when facing several independent tasks with no shared state, when a plan has parallelizable steps, when a broad search or audit would be faster fanned out, or when deciding whether work can safely be split at all.

Its SKILL.md is about 560 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/sources.md`).

It sits in Agent Workflows, covering Subagents. The repository describes itself as: An agent organization structured as a company — 15+ departments, 125+ skills, each independently installable, citing the standards and regulators that settle the question. Runs… The licence is MIT.

When your agent uses it

  • Tasks that involve Subagents

Example prompts

  • “Use the parallel-agent-delivery skill to split work across multiple agents or sessions running at once, keeping their surfaces disjoint so results…”
  • “/parallel-agent-delivery”

Workflow steps

3 steps, taken from the first numbered list in SKILL.md.

  1. Disjoint write surfaces — no two agents touch the same file. Not "unlikely to conflict";
  2. No sequential dependency — none needs another's output to start.
  3. Independently verifiable — each result can be judged on its own.

What it can do on your machine

Read from SKILL.md and the folder at commit 98d1c17. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Parallel Agent Delivery loads about 564 tokens when it runs, and up to ~771 if it reads all its reference files. Until then it costs about 92 tokens; SKILL.md has 297 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~564
With references · SKILL.md plus every file in references/, read only if the agent opens them
~771

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from cbrock84/headcount at commit 98d1c17, republished under its MIT licence (© cbrock84). 297 words, ~564 tokens.

Download SKILL.mdSave it as .claude/skills/parallel-agent-delivery/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
parallel-agent-delivery
description
Splits work across multiple agents or sessions running at once, keeping their surfaces disjoint so results merge cleanly. Use this when facing several independent tasks with no shared state, when a plan has parallelizable steps, when a broad search or audit would be faster fanned out, or when deciding whether work can safely be split at all.

Parallel agent delivery

Parallelism is a property of the work, not a preference. Establish it before dispatching.

When it is safe

All three must hold:

  1. Disjoint write surfaces — no two agents touch the same file. Not "unlikely to conflict"; provably disjoint.
  2. No sequential dependency — none needs another's output to start.
  3. Independently verifiable — each result can be judged on its own.

Fail any one and run sequentially. Two agents editing one file produces a merge conflict at best and a silent lost update at worst.

Dispatching

Each agent gets a self-contained brief: the goal, its exclusive surface, the context it cannot see for itself, and the shape of the answer expected. Agents share no memory — anything you leave out is gone.

Ask for a structured return, the same shape from each, so results can be compared rather than re-read.

Read-only fan-out is the easy case

Searching, auditing, and reviewing have no write surface at all, so they parallelize without risk. Reach for parallelism here first and freely.

Integrating

  • Review each result against its brief before merging any of them.
  • Where two disagree on a shared fact, neither is authoritative — resolve it yourself.
  • One agent returning nothing useful is a normal outcome, not a failure to retry blindly.

Sources

references/sources.md in this skill lists the outside authorities that settle the questions here — what each one is authoritative for, and what you may do with it. Check them before answering on anything they cover, and cite what you used. Most are free to read and not free to reproduce; the use note on each is binding.

Never

  • Split work to look faster when the steps are actually sequential.
  • Let two agents write to one surface because "they probably won't collide."
  • Merge a result you have not read.

© cbrock84, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (references) in plugins/technology/skills/parallel-agent-delivery of cbrock84/headcount.

  • SKILL.md
  • references/sources.md

Open the folder on GitHubat commit 98d1c17

Compare with similar skills

Parallel Agent Delivery next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Parallel Agent Delivery compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Parallel Agent Delivery this skillcbrock84/headcount2k—~564Automated safety check: PassMIT
Claude Code Agent Developmentanthropics/claude-plugins-official38k8 repos~2.8kAutomated safety check: PassApache-2.0
Subagent Driven DevelopmentAsvarox/allkaraoke26138 repos~1.2kAutomated safety check: PassNone
Dispatching Parallel Agentsultralisp/ultralisp25841 repos~1.5kAutomated safety check: PassNone
Paseo Advisor Second Opiniongetpaseo/paseo20k1 repos~756Automated safety check: PassCustom licence
Task Observerrebelytics/one-skill-to-rule-them-all3.2k1 repos~12kAutomated safety check: PassCC-BY-4.0

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Categories

Questions about Parallel Agent Delivery

What does Parallel Agent Delivery do?

Splits work across multiple agents or sessions running at once, keeping their surfaces disjoint so results merge cleanly. Parallel Agent Delivery is an agent skill from cbrock84/headcount. Splits work across multiple agents or sessions running at once, keeping their surfaces disjoint so results merge cleanly.

When should I use Parallel Agent Delivery?

Parallel Agent Delivery fits situations like: tasks that involve Subagents.

How do I install Parallel Agent Delivery in Claude Code?

Run `npx skills add cbrock84/headcount --skill parallel-agent-delivery -a claude-code`. Or copy the skill folder (plugins/technology/skills/parallel-agent-delivery in cbrock84/headcount) into .claude/skills/parallel-agent-delivery in your project. Claude Code loads it when a task matches its description.

How do I install Parallel Agent Delivery in Codex?

Run `npx skills add cbrock84/headcount --skill parallel-agent-delivery -a codex`. Or copy the skill folder (plugins/technology/skills/parallel-agent-delivery in cbrock84/headcount) into .agents/skills/parallel-agent-delivery in your project. Codex loads it when a task matches its description.

Can I use Parallel Agent Delivery in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add cbrock84/headcount --skill parallel-agent-delivery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/parallel-agent-delivery, .gemini/skills/parallel-agent-delivery, .github/skills/parallel-agent-delivery and .opencode/skills/parallel-agent-delivery in your project.

What does Parallel Agent Delivery need to run?

SKILL.md names no scripts, command-line tools or credentials: Parallel Agent Delivery is instructions for the agent only.

Does Parallel Agent Delivery access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Parallel Agent Delivery safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Parallel Agent Delivery use?

Parallel Agent Delivery is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Parallel Agent Delivery use?

About 564 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 207 tokens, read only when the agent opens those files.

What are the alternatives to Parallel Agent Delivery?

Skills that share tags, products or a category with Parallel Agent Delivery: Claude Code Agent Development (anthropics/claude-plugins-official, 38k stars), Subagent Driven Development (Asvarox/allkaraoke, 261 stars), Dispatching Parallel Agents (ultralisp/ultralisp, 258 stars) and Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Parallel Agent Delivery?

cbrock84 (a GitHub user) maintains it in cbrock84/headcount, which has 2,007 GitHub stars. The repository holds 175 skills in this directory. The repository was last updated on September 17, 2026.

Source: cbrock84/headcount on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.