Agent skill

AI Agent Orchestration

by datadrivenconstruction in datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Orchestrate multiple AI agents for construction workflows: estimator, scheduler, document, QA and safety agents coordinated by a supervisor agent, with human checkpoints.

MITAuto-check passedAgent Workflows

Install AI Agent Orchestration

skills CLI

$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ai-agent-orchestration -a claude-code

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

GitHub CLI

$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction ai-agent-orchestration --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/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .claude/skills && cp -r skills-src/5_DDC_Innovative/ai-agent-orchestration .claude/skills/ai-agent-orchestration && 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/

Paste into Claude Code

Install the "ai-agent-orchestration" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/5_DDC_Innovative/ai-agent-orchestration into .claude/skills/ai-agent-orchestration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-orchestration", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/5_DDC_Innovative/ai-agent-orchestration

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ai-agent-orchestration -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction ai-agent-orchestration --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .agents/skills && cp -r skills-src/5_DDC_Innovative/ai-agent-orchestration .agents/skills/ai-agent-orchestration && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "ai-agent-orchestration" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/5_DDC_Innovative/ai-agent-orchestration into .agents/skills/ai-agent-orchestration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-orchestration", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ai-agent-orchestration -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction ai-agent-orchestration --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/5_DDC_Innovative/ai-agent-orchestration .cursor/skills/ai-agent-orchestration && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "ai-agent-orchestration" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/5_DDC_Innovative/ai-agent-orchestration into .cursor/skills/ai-agent-orchestration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-orchestration", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git --path 5_DDC_Innovative/ai-agent-orchestration

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ai-agent-orchestration -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction ai-agent-orchestration --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/5_DDC_Innovative/ai-agent-orchestration .gemini/skills/ai-agent-orchestration && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "ai-agent-orchestration" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/5_DDC_Innovative/ai-agent-orchestration into .gemini/skills/ai-agent-orchestration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-orchestration", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction ai-agent-orchestration

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ai-agent-orchestration -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .github/skills && cp -r skills-src/5_DDC_Innovative/ai-agent-orchestration .github/skills/ai-agent-orchestration && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "ai-agent-orchestration" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/5_DDC_Innovative/ai-agent-orchestration into .github/skills/ai-agent-orchestration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-orchestration", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ai-agent-orchestration -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction ai-agent-orchestration --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/5_DDC_Innovative/ai-agent-orchestration .opencode/skills/ai-agent-orchestration && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "ai-agent-orchestration" agent skill from https://github.com/datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction/tree/main/5_DDC_Innovative/ai-agent-orchestration into .opencode/skills/ai-agent-orchestration/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-agent-orchestration", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: ai-agent-orchestration
GitHub stars: 345
Token cost: ~679 tokens
SKILL.md length: 255 words
Files: 1
Skills in repo: 36
Repo updated: Aug 22, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Orchestrate multiple AI agents for construction workflows: estimator, scheduler, document, QA and safety agents coordinated by a supervisor agent, with human checkpoints.

Works in 4 steps: Data spine first — all agents read/write… → Human checkpoints — binding numbers… → Deterministic validation — QA uses… → …
Automating end-to-end project processes with agentic AI
SKILL.md covers Why agents now, Agent roles, Coordination patterns and Guardrails, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

AI Agent Orchestration is an agent skill from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. Orchestrate multiple AI agents for construction workflows: estimator, scheduler, document, QA and safety agents coordinated by a supervisor agent, with human checkpoints. Use when automating end-to-end project processes with agentic AI.

Its SKILL.md is about 680 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Agent Workflows, covering Multi-agent orchestration. The repository describes itself as: 221 AI skills for construction: BIM analysis, cost estimation, scheduling, document control, and automation with Claude Code. The licence is MIT.

When your agent uses it

Automating end-to-end project processes with agentic AI
Tasks that involve Multi-agent orchestration

Example prompts

“/ai-agent-orchestration”

Workflow steps

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

Data spine first — all agents read/write the same ERP data (BOQ, tasks, cost items); no agent keeps private state.
Human checkpoints — binding numbers (prices, contracts) always pass a human gate.
Deterministic validation — QA uses arithmetic and rules, not LLM judgement, for reconciliation (e.g. qty × price = cost, markup…
Idempotent actions — every agent action is re-runnable (the ERP import is idempotent on (code, region); use it as the model).

What it can do on your machine

Read from SKILL.md and the folder at commit ce45bbf. 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
Links to these hosts (documentation or services it may open):
- github.com
- anthropic.com
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

AI Agent Orchestration loads about 679 tokens when it runs. Until then it costs about 65 tokens; SKILL.md has 255 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~65
When it runs · the whole SKILL.md, loaded when a task matches: ~679

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 datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction at commit ce45bbf, republished under its MIT licence (© datadrivenconstruction). 255 words, ~679 tokens.

Download SKILL.mdSave it as .claude/skills/ai-agent-orchestration/SKILL.md (or your agent's skills folder).

name: ai-agent-orchestration
description: Orchestrate multiple AI agents for construction workflows: estimator, scheduler, document, QA and safety agents coordinated by a supervisor agent, with human checkpoints. Use when automating end-to-end project processes with agentic AI.

AI Agent Orchestration for Construction (2026)

Why agents now

2026 construction automation is agentic: not single prompts, but specialized agents that own a domain (estimating, scheduling, documents, QA, safety), share a common data spine (the ERP + CWICR cost bases), and are coordinated by a supervisor with human checkpoints.

Agent roles

Agent	Owns	Tools it calls
Estimator agent	BOQ + cost	CWICR search, QTO, market catalogs, `costs` API
Scheduler agent	Time (4D)	task graph, dependencies, critical path, resource leveling
Document agent	Specs & contracts	PDF/OCR extraction, clause NER, submittal/RFI routing
QA agent	Quality	validation rule packs (DIN276/NRM/GAEB), reconciliation checks
Safety agent	HSE	checklist generation, incident classification, regulations lookup
Supervisor agent	Orchestration	routes tasks, resolves conflicts, escalates to humans

Coordination patterns

Supervisor ──► Estimator ──► BOQ draft ──► human approves
    │              ▲
    ├──► Document ──► scope extracted (specs) ─┘
    ├──► Scheduler ──► draft schedule from BOQ quantities
    └──► QA ──► validate BOQ + schedule, report violations

Data spine first — all agents read/write the same ERP data (BOQ, tasks, cost items); no agent keeps private state.
Human checkpoints — binding numbers (prices, contracts) always pass a human gate.
Deterministic validation — QA uses arithmetic and rules, not LLM judgement, for reconciliation (e.g. qty × price = cost, markup conventions).
Idempotent actions — every agent action is re-runnable (the ERP import is idempotent on (code, region); use it as the model).

Guardrails

Never let an agent invent a price: unpriced bases stay rate 0 until a market sheet exists.
Confidence-scored matches below threshold go to a human.
Log every agent decision with its inputs (the ERP's usage ledger pattern).
EU AI Act (2024/1689): construction estimation assistance is low/limited risk, but keep human oversight for safety-critical decisions.

Resources

OpenConstructionERP: https://github.com/datadrivenconstruction/OpenConstructionERP
CWICR cost bases: https://github.com/datadrivenconstruction/OpenConstructionEstimate-DDC-CWICR
Anthropic multi-agent patterns: https://www.anthropic.com/engineering/building-effective-agents

Files

Just SKILL.md in 5_DDC_Innovative/ai-agent-orchestration of datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction.

Open the folder on GitHubat commit ce45bbf

Compare with similar skills

AI Agent Orchestration 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.

AI Agent Orchestration compared with similar skills
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O2 Review Loopopenobserve/openobserve	22k	—	~3.7k	Automated safety check: Pass	AGPL-3.0	today
Paseo Committeegetpaseo/paseo	20k	1 repos	~496	Automated safety check: Pass	Custom licence	yesterday
Mission Control Agent APIbuilderz-labs/mission-control	6.3k	—	~2.1k	Automated safety check: Pass	MIT	11 days ago

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ML Model Retrainer
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Oce Cost Browser
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Oce Estimate Boq
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Questions about AI Agent Orchestration

What does AI Agent Orchestration do?

Orchestrate multiple AI agents for construction workflows: estimator, scheduler, document, QA and safety agents coordinated by a supervisor agent, with human checkpoints. AI Agent Orchestration is an agent skill from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction. Orchestrate multiple AI agents for construction workflows: estimator, scheduler, document, QA and safety agents coordinated by a supervisor agent, with human checkpoints.

When should I use AI Agent Orchestration?

AI Agent Orchestration fits situations like: automating end-to-end project processes with agentic AI; tasks that involve Multi-agent orchestration.

How do I install AI Agent Orchestration in Claude Code?

Run `npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ai-agent-orchestration -a claude-code`. Or copy the skill folder (5_DDC_Innovative/ai-agent-orchestration in datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction) into .claude/skills/ai-agent-orchestration in your project. Claude Code loads it when a task matches its description.

How do I install AI Agent Orchestration in Codex?

Run `npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ai-agent-orchestration -a codex`. Or copy the skill folder (5_DDC_Innovative/ai-agent-orchestration in datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction) into .agents/skills/ai-agent-orchestration in your project. Codex loads it when a task matches its description.

Can I use AI Agent Orchestration 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 datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill ai-agent-orchestration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ai-agent-orchestration, .gemini/skills/ai-agent-orchestration, .github/skills/ai-agent-orchestration and .opencode/skills/ai-agent-orchestration in your project.

What does AI Agent Orchestration need to run?

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

Does AI Agent Orchestration access the network?

SKILL.md names 2 domains. As links in the text: github.com and anthropic.com. This is read from the text; nothing was executed.

Is AI Agent Orchestration 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 AI Agent Orchestration use?

AI Agent Orchestration 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 AI Agent Orchestration use?

About 679 tokens (SKILL.md is roughly 2.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to AI Agent Orchestration?

Skills that share tags, products or a category with AI Agent Orchestration: Orca CLI (stablyai/orca, 88k stars), Paseo Advisor Second Opinion (getpaseo/paseo, 20k stars), O2 Review Loop (openobserve/openobserve, 22k stars) and Paseo Committee (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 AI Agent Orchestration?

datadrivenconstruction (a GitHub user) maintains it in datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction, which has 345 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on August 22, 2026.

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

Install AI Agent Orchestration

Facts

At a glance

What it does

When your agent uses it

Example prompts

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

AI Agent Orchestration for Construction (2026)

Why agents now

Agent roles

Coordination patterns

Guardrails

Resources

Files

Compare with similar skills

Similar skills

More from datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction

Related

Questions about AI Agent Orchestration