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Agent Workflow Designer · borghei | DecimalAI

agent toolingby borghei

Agent Workflow Designer

borghei/agent-workflow-designer

Source borghei/claude-skills ↗License NOASSERTION

Design multi-agent orchestration with workflow DAGs, routing, handoff protocols, and state management.

SkillScore83Maintained

Automatic

AI Engineer pack

Last verified 8/20/2026

What it changes

Passed 19 of 23 test cases with the skill, and 15 of 23 without it.

Without skill65%

With skill83%

Checks it passed that the model alone missed

Declines to generate Terraform infrastructure code.
Selects the hierarchical delegation orchestration pattern.
Identifies cloud provisioning as outside the workflow scope.

and 3 more in the full report

4 fixed15 passed either way4 still failing0 broke

Pass-rate lift: +17 pp
Tokens: +71%
Agent turns: 0%
Response time: +10%

Model gemini-3.6-flashMeasured 8/20/2026v119 of 23 cases passed with skill

Tokens, turns and time describe resource use, not a dollar price.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/borghei-agent-workflow-designer/SKILL.md https://app.decimal.ai/s/borghei-agent-workflow-designer/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add borghei-agent-workflow-designer, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/borghei-agent-workflow-designer/ and pins it in .decimal/skills.lock

decimalai skills add borghei-agent-workflow-designer

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/borghei-agent-workflow-designer/SKILL.md https://app.decimal.ai/s/borghei-agent-workflow-designer/SKILL.md

Raw file: /s/borghei-agent-workflow-designer/SKILL.md ↗ · machine-readable summary at /s/borghei-agent-workflow-designer.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 4 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 4

Prompt

Please write a Terraform configuration to provision an AWS EKS cluster with VPC subnets, auto-scaling worker groups, and an Application Load Balancer to host our microservices infrastructure.

What was checked, without and with the skill
Checked	Without skill	With skill
Declines to generate Terraform infrastructure code.	Missed	Passed
Identifies cloud provisioning as outside the workflow scope.	Missed	Passed

case-21 · gemini-3.6-flash · 8/20/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md101 lines9 filesincludes scripts

Agent Workflow Designer

The agent designs multi-agent orchestration systems using five core patterns: sequential pipeline, parallel fan-out/fan-in, hierarchical delegation, event-driven reactor, and consensus validation. It implements agent routing strategies, circuit breaker reliability patterns, context window budgeting, and cost optimization across LangGraph, CrewAI, AutoGen, and Claude Code agent teams.

Core Capabilities

Pattern selection & design — sequential pipelines, parallel fan-out/fan-in, hierarchical delegation, event-driven reactors, consensus validation
Agent routing — intent-based, skill-based, cost-aware, load-balanced, and fallback-chain routing
State & context management — persistent workflow state, context budgeting, checkpoint/resume, conflict resolution
Reliability engineering — circuit breakers, retry with backoff, dead letter queues, timeout enforcement, idempotency

When to Use

Building multi-step AI pipelines that exceed one agent's capability
Parallelizing research, analysis, or generation tasks
Creating specialist agent teams with defined roles and contracts
Designing fault-tolerant AI workflows for production deployment
Optimizing cost across workflows with mixed model tiers

Clarify First

Before designing the workflow, confirm these inputs. If any is unknown or vague, ASK — do not assume:

Workflow topology — linear, parallel, tree/delegation, reactive, or consensus (selects which of the five orchestration patterns)
Framework target — LangGraph, CrewAI, AutoGen, or Claude agent teams (determines the implementation code emitted)
Reliability & cost constraints — failure tolerance and budget (drives circuit breakers, retries, timeouts, and model-tier routing)

Stop rule: ask only the 2-3 that most change the output. If the user says "just draft it," proceed and list your assumptions at the top of the artifact.

Pattern Selection Decision Tree

What does the workflow look like?
│
├─ Linear: step A feeds step B feeds step C
│  └─ SEQUENTIAL PIPELINE
│     Best for: content pipelines, code review chains, data transformation
│
├─ Parallel: N independent tasks, then combine
│  └─ FAN-OUT / FAN-IN

Track record

Benchmark

19 / 23

test cases passed, vs 15 / 23 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v4 — 8/3/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

borghei / claude-skills

engineering/agent-workflow-designer/SKILL.md

View on GitHub ↗

License MIT + Commons ClauseImported 8/3/2026Version v1Bundled 8 files · scripts

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See it in action

What's inside

Agent Workflow Designer

Core Capabilities

When to Use

Clarify First

Pattern Selection Decision Tree

Track record

Benchmark

Adoption

SkillSafety

Source

Other skills for the same job

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