New: 98,000+ skills indexed from GitHub repos with 100+ stars · every skill safety-checkedBrowse top skillsTop skills
Esc to closeBrowse all skills
Submit a skillBrowse skills
Submit a skillBrowse skills

Agent skill

Orchestrate Engineering

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Coordinate complex engineering work across bounded subagents while protecting the main context, preventing edit conflicts, and measuring whether delegation was worthwhile.

Apache-2.0Auto-check passedAgent Workflows

Install Orchestrate Engineering

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill orchestrate-engineering -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins orchestrate-engineering --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/Phelan164/codex-howto/skills/orchestrate-engineering .claude/skills/orchestrate-engineering && 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
orchestrate-engineering
GitHub stars
1.2k
Token cost
~987 tokens
SKILL.md length
445 words
Files
3 (incl. references)
Skills in repo
686
Repo updated
First seen
Licence
Apache-2.0

At a glance

Coordinate complex engineering work across bounded subagents while protecting the main context, preventing edit conflicts, and measuring whether delegation was worthwhile.

  • Works in 5 steps: Read applicable AGENTS.md files and the… → Map dependencies before creating workers. → Use one agent when the task is small,… → …
  • The user asks to delegate
  • SKILL.md covers Start with the delegation…, Choose a topology, Prepare every worker and Coordinate, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Orchestrate Engineering is an agent skill from hashgraph-online/awesome-codex-plugins. Coordinate complex engineering work across bounded subagents while protecting the main context, preventing edit conflicts, and measuring whether delegation was worthwhile. Use when the user asks to delegate, parallelize, orchestrate, use subagents, fan out a review, or handle a large task with independent workstreams; do not use for small, tightly coupled, or inherently sequential tasks.

Its SKILL.md is about 990 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/context-budget.md`).

It sits in Agent Workflows, covering Subagents. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

  • The user asks to delegate
  • Fan out a review
  • Handle a large task with independent workstreams
  • Do not use for small

Example prompts

  • “/orchestrate-engineering”

Workflow steps

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

  1. Read applicable AGENTS.md files and the task’s acceptance criteria.
  2. Map dependencies before creating workers.
  3. Use one agent when the task is small, tightly coupled, or dominated by shared-file edits.
  4. Delegate only when at least two workstreams are genuinely independent, noisy investigation should be isolated, or specialized review…
  5. Explain the chosen topology briefly before starting workers.

What it can do on your machine

Read from SKILL.md and the folder at commit 78497e5. 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

Orchestrate Engineering loads about 987 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 104 tokens; SKILL.md has 445 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~104
When it runs · the whole SKILL.md, loaded when a task matches
~987
With references · SKILL.md plus every file in references/, read only if the agent opens them
~1.7k

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 hashgraph-online/awesome-codex-plugins at commit 78497e5, republished under its Apache-2.0 licence (© hashgraph-online). 445 words, ~987 tokens.

Download SKILL.mdSave it as .claude/skills/orchestrate-engineering/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
orchestrate-engineering
description
Coordinate complex engineering work across bounded subagents while protecting the main context, preventing edit conflicts, and measuring whether delegation was worthwhile. Use when the user asks to delegate, parallelize, orchestrate, use subagents, fan out a review, or handle a large task with independent workstreams; do not use for small, tightly coupled, or inherently sequential tasks.

Orchestrate Engineering

Start with the delegation decision

  1. Read applicable AGENTS.md files and the task’s acceptance criteria.
  2. Map dependencies before creating workers.
  3. Use one agent when the task is small, tightly coupled, or dominated by shared-file edits.
  4. Delegate only when at least two workstreams are genuinely independent, noisy investigation should be isolated, or specialized review materially improves coverage.
  5. Explain the chosen topology briefly before starting workers.

Subagents normally consume more total tokens than a comparable single-agent run. Optimize for fewer failed loops, cleaner context, better coverage, or lower elapsed time—not the highest agent count.

Choose a topology

  • Use fan-out/fan-in for independent read-only research, review, triage, or log analysis.
  • Use a pipeline when exploration, planning, implementation, testing, and review depend on prior outputs.
  • Use partitioned implementation only after shared interfaces are stable and each worker owns exclusive files or subsystems.

Read references/context-budget.md when selecting a topology, preparing worker context, defining summaries, or evaluating efficiency.

Prepare every worker

Give each worker:

text
Objective:
Bounded scope:
Required context:
Allowed actions and permissions:
Required evidence:
Output format:
Stop condition:

Provide the minimum task-local context. Do not copy the entire main-thread history into every worker.

Coordinate

  1. Start with the smallest useful number of workers.
  2. Keep research, review, and test-analysis workers read-only when possible.
  3. Assign exclusive ownership before parallel writes.
  4. Keep cross-cutting decisions, requirements, and interface changes in the main thread.
  5. Require concise evidence summaries instead of raw logs.
  6. Stop or steer workers that expand scope, duplicate another worker, or lose their evidence path.
  7. Wait at explicit dependency or integration gates.
Show full SKILL.md (195 more words)Show less

Integrate and verify

  1. Validate worker claims against source files, commands, or authoritative documentation.
  2. Deduplicate findings and resolve contradictions.
  3. Integrate write results in dependency order.
  4. Run focused checks, cross-module checks, and a final combined-diff review.
  5. Report verified outcomes, unverified areas, residual risks, and worker failures.
  6. Compare the orchestration against the single-agent alternative using available evidence.

Guardrails

  • Do not claim token savings without measurement.
  • Do not delegate merely because subagents are available.
  • Do not let parallel workers edit the same file.
  • Do not allow a worker’s unverified assumption to become another worker’s requirement.
  • Do not broaden sandbox, network, or external-system permissions for convenience.
  • Do not continue spawning workers recursively without a new independent need.
  • Preserve user authority for destructive, production, credential, and external write actions.

Acceptance criteria

  • The topology matches the dependency graph.
  • Every worker has bounded scope and a stop condition.
  • Parallel write ownership is exclusive.
  • Worker summaries are smaller and cleaner than their working context.
  • The main agent validates and integrates rather than forwarding claims blindly.
  • System-level verification covers cross-worker behavior.
  • The final report states whether delegation improved quality, elapsed time, or context clarity enough to justify its cost.

© hashgraph-online, Apache-2.0. 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 2 other files (references) in plugins/Phelan164/codex-howto/skills/orchestrate-engineering of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • agents/openai.yaml
  • references/context-budget.md

Open the folder on GitHubat commit 78497e5

Compare with similar skills

Orchestrate Engineering 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.

Orchestrate Engineering compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Orchestrate Engineering this skillhashgraph-online/awesome-codex-plugins1.2k—~987Automated safety check: PassApache-2.0
Agent RelayAgentWorkforce/relay866—~1.7kAutomated safety check: PassApache-2.0
Extracting Requirementsprime-radiant-inc/iterative-development181—~2.7kAutomated safety check: PassApache-2.0
Coherence AuditorGoogleChrome/modern-web-guidance-src1.1k—~901Automated safety check: PassApache-2.0
DevelopChorus-AIDLC/Chorus1.2k—~4.5kAutomated safety check: PassAGPL-3.0
Chorus DevelopChorus-AIDLC/Chorus1.2k—~5.1kAutomated safety check: PassAGPL-3.0

Similar skills

  • Agent Relay

    AgentWorkforce/relay

    A skill your agent uses when you need Codex to coordinate multiple agents through Agent Relay for peer-to-peer messaging, lead/worker handoffs, or shared status tracking across sub-agents and…

    866 GitHub stars~1.7k tokensUpdated today
    Agent WorkflowsAuto-check passed

  • Extracting Requirements

    prime-radiant-inc/iterative-development

    Reads human-written spec documents and produces per-epic requirement files with proof obligations plus behavior scenarios with stable IDs, using parallel chunked extraction.

    181 GitHub stars~2.7k tokensUpdated 4 mo ago
    Agent WorkflowsAuto-check passed

  • Coherence Auditor

    GoogleChrome/modern-web-guidance-src

    Run a document coherence, link integrity, and git repository status audit across repository markdown files using a dedicated subagent.

    1.1k GitHub stars~901 tokensUpdated today
    Agent WorkflowsAuto-check passed

  • Develop

    Chorus-AIDLC/Chorus

    Chorus Development workflow — claim tasks, report work, and spawn sub-agent workers for parallel execution.

    1.2k GitHub stars~4.5k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed

  • Chorus Develop

    Chorus-AIDLC/Chorus

    Chorus Development workflow — claim tasks, report work, manage sessions, and run parallel task execution with Kiro subagents.

    1.2k GitHub stars~5.1k tokensUpdated yesterday
    Agent WorkflowsAuto-check passed

  • Process

    notque/vexjoy-agent

    Process: retrospectives, session handoff, pair programming, subagent-driven development, condition-based waiting.

    438 GitHub stars~2.1k tokensUpdated 5 days ago
    Agent WorkflowsAuto-check: notes

More from hashgraph-online/awesome-codex-plugins

All 686 skills in this repo

  • Anime Reaction Gif

    hashgraph-online/awesome-codex-plugins

    Create original anime-style reaction stickers as looping GIFs and MP4 previews, using generated character pose sheets and timed key poses.

    1.2k GitHub stars~922 tokensUpdated today
    Auto-check passed

  • Calibredb

    hashgraph-online/awesome-codex-plugins

    Manage and query Calibre libraries with the calibredb CLI (local paths or Calibre Content server URLs).

    1.2k GitHub stars~1k tokensUpdated today
    Auto-check passed

  • Rust API Test Harness

    hashgraph-online/awesome-codex-plugins

    A skill your agent uses when adding, changing, testing, or debugging Rust HTTP APIs and services, especially when Codex needs black-box integration tests, random-port app startup, real database test…

    1.2k GitHub stars~1.7k tokensUpdated today
    Auto-check passed

  • Art

    hashgraph-online/awesome-codex-plugins

    Make a studio's game look like something at build time — a cover from a real frame of the game (free), painted covers, backdrops, textures and character plates from image models through the…

    1.2k GitHub stars~2.4k tokensUpdated today
    Auto-check passed

  • Game Balance Economy

    hashgraph-online/awesome-codex-plugins

    Balance game difficulty, resources, rewards, probability, progression, economies, and dominant strategies.

    1.2k GitHub stars~618 tokensUpdated today
    Auto-check passed

  • Manuscript Engagement Analytics

    hashgraph-online/awesome-codex-plugins

    Analyze nonfiction manuscripts for reader engagement signals, including heading-level word counts, slow starts, long slogs, weak takeaway titles, value pacing, beta-reader comment dropoff, and…

    1.2k GitHub stars~875 tokensUpdated today
    Auto-check passed

Categories

Questions about Orchestrate Engineering

What does Orchestrate Engineering do?

Coordinate complex engineering work across bounded subagents while protecting the main context, preventing edit conflicts, and measuring whether delegation was worthwhile. Orchestrate Engineering is an agent skill from hashgraph-online/awesome-codex-plugins. Coordinate complex engineering work across bounded subagents while protecting the main context, preventing edit conflicts, and measuring whether delegation was worthwhile.

When should I use Orchestrate Engineering?

Orchestrate Engineering fits situations like: the user asks to delegate; fan out a review; handle a large task with independent workstreams; do not use for small.

How do I install Orchestrate Engineering in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill orchestrate-engineering -a claude-code`. Or copy the skill folder (plugins/Phelan164/codex-howto/skills/orchestrate-engineering in hashgraph-online/awesome-codex-plugins) into .claude/skills/orchestrate-engineering in your project. Claude Code loads it when a task matches its description.

How do I install Orchestrate Engineering in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill orchestrate-engineering -a codex`. Or copy the skill folder (plugins/Phelan164/codex-howto/skills/orchestrate-engineering in hashgraph-online/awesome-codex-plugins) into .agents/skills/orchestrate-engineering in your project. Codex loads it when a task matches its description.

Can I use Orchestrate Engineering 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 hashgraph-online/awesome-codex-plugins --skill orchestrate-engineering -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/orchestrate-engineering, .gemini/skills/orchestrate-engineering, .github/skills/orchestrate-engineering and .opencode/skills/orchestrate-engineering in your project.

What does Orchestrate Engineering need to run?

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

Does Orchestrate Engineering 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 Orchestrate Engineering 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 Orchestrate Engineering use?

Orchestrate Engineering is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Orchestrate Engineering use?

About 987 tokens (SKILL.md is roughly 3.9k 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 719 tokens, read only when the agent opens those files.

What are the alternatives to Orchestrate Engineering?

Skills that share tags, products or a category with Orchestrate Engineering: Agent Relay (AgentWorkforce/relay, 866 stars), Extracting Requirements (prime-radiant-inc/iterative-development, 181 stars), Coherence Auditor (GoogleChrome/modern-web-guidance-src, 1.1k stars) and Develop (Chorus-AIDLC/Chorus, 1.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Orchestrate Engineering?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,242 GitHub stars. The repository holds 686 skills in this directory. The repository was last updated on October 8, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.