Camunda Feel

Camunda FEEL Expressions

Write, debug, and evaluate FEEL expressions used in Camunda 8 BPMN processes, DMN decisions, and forms.

Prerequisites

• c8ctl CLI installed and configured (c8ctl add profile) — provides c8ctl feel evaluate
• Camunda 8.9+ cluster for default cluster-engine evaluation (uses POST /v2/expression/evaluation)

Cross-References

• camunda-bpmn: Use when FEEL expressions are part of BPMN conditions or I/O mappings
• camunda-dmn: Use when FEEL appears inside DMN — input expressions, input entries (unary tests), output entries, literal expressions
• camunda-forms: Use when FEEL expressions control form validation or conditional visibility
• camunda-ai-agents: Use when FEEL expressions are prompts, fromAi() parameter declarations, or toolCallResult shaping in an AI Agent process

Instructions

FEEL in Camunda

FEEL is used for:

• Gateway conditions: Route process flow based on variable values
• Input/output mappings: Transform variables between process scopes
• Timer definitions: Define durations, dates, and cycles
• DMN decision tables: Define input/output rules
• Form validation: Validate user input

All FEEL expressions in BPMN XML must be prefixed with =:

=amount > 1000

Expression Evaluation

To validate and debug FEEL expressions, use c8ctl feel evaluate. By default this runs against the configured cluster's Scala FEEL engine — the same engine that Zeebe uses at runtime, so results match production behavior exactly.

# Simple expression
c8ctl feel evaluate '1 + 2'

# Expression with individual variables (leading = optional)
c8ctl feel evaluate '=amount * 1.15' --var amount=100

# Multiple variables
c8ctl feel evaluate 'a + b' --var a=1 --var b=2

# JSON values for complex types
c8ctl feel evaluate 'sum(items)' --var 'items=[1,2,3]'

# Bulk variables as a single JSON object
c8ctl feel evaluate 'orderTotal > 1000 and customer.tier = "premium"' \
  --vars '{"orderTotal": 1500, "customer": {"tier": "premium"}}'

# Dot-path nesting on the CLI
c8ctl feel evaluate 'customer.name' --var customer.name=Alice

Debugging workflow:

1. Write the expression
2. Identify the expected variable context
3. Evaluate via c8ctl feel evaluate to validate against the cluster engine
4. If evaluation fails, fix based on error message and retry

Offline evaluation (--engine local)

c8ctl feel evaluate --engine local evaluates expressions locally using the feelin JavaScript engine — useful when no cluster is available. Use only when explicitly requested or when no cluster is reachable AND the user has confirmed the fallback. Never silently fall back.

feelin behaves DIFFERENTLY from the Scala FEEL engine that Zeebe runs in production. Subtle differences in type coercion, function support, and date/time handling can cause an expression that passes locally to fail in the cluster (and vice versa). Always re-validate against the cluster before relying on a result obtained with --engine local.

c8ctl feel evaluate '=amount * 1.15' --var amount=100 --engine local

Concrete divergence: today() returns a different type. On the cluster engine, today() returns a date (e.g. 2026-05-12). On --engine local (feelin), it returns a date-time at midnight in the local timezone (e.g. 2026-05-12T00:00:00.000+02:00). This breaks downstream comparisons:

# cluster engine — passes
c8ctl feel evaluate 'today() = date("2026-05-12")'           # → true

# local engine — fails silently
c8ctl feel evaluate 'today() = date("2026-05-12")' --engine local   # → false

If a date-typed argument is required by a downstream function, the local result may also raise a type error that the cluster never sees.

Core Syntax

Data Types: Numbers (1, 1.5), Strings ("hello"), Booleans (true/false), null, Dates (date("2024-01-15")), Times (time("14:30:00")), Date-times (date and time("2024-01-15T14:30:00")), Durations (duration("P1D")), Lists ([1, 2, 3]), Contexts ({name: "Alice"}), Ranges ([1..10])

Operators: +, -, *, /, **, =, !=, `, =, and, or, not(), between x and y, in`

If-Then-Else (every if requires else):

if score >= 80 then "A" else if score >= 60 then "B" else "C"

For Loops:

for x in [1, 2, 3] return x * 2

Quantifiers:

every x in items satisfies x.price > 0
some x in items satisfies x.status = "urgent"

List Operations:

• 1-based indexing: list[1], negative: list[-1]
• Filter: items[price > 100]
• Projection: items.name extracts name from each item

Context Operations:

• Property access: customer.name
• get value(ctx, "key"), get entries(ctx)
• context put(ctx, "key", value), context merge(ctx1, ctx2)

Common Patterns and Examples

Example — Gateway condition:

=orderTotal > 1000 and customer.tier = "premium"

Input mapping with transformation:

="https://api.example.com/users/" + string(userId)

The string() wrapper is required, not stylistic. FEEL does not auto-coerce types in arithmetic — "prefix-" + userId (where userId is a number) silently evaluates to null with a Can't add 'N' to '"prefix-"' warning, not an error. See references/common-patterns.md § Type Coercion Pitfalls for the full rule and debugging tip.

Result expression (extract from API response):

={user: response.body, status: response.statusCode}

Error expression (throw BPMN error on failure):

=if response.statusCode >= 400 then bpmnError("HTTP_ERROR", string(response.statusCode)) else null

Timer duration (FEEL required):

="PT" + string(delayHours) + "H"

Null-safe access:

=if customer != null then customer.name else "Unknown"

Troubleshooting

• FEELRESOLUTIONERROR — a variable referenced in the expression doesn't exist in the variable context at evaluation time. Run c8ctl feel evaluate '' --vars '' with the variables you expect at runtime to confirm.
• Expression returns null unexpectedly — typical causes: type mismatch in + concatenation (see string() rule above); 0-based indexing (use events[1], not events[0]); calling a non-existent helper (first() doesn't exist); missing commas between context entries. c8ctl feel evaluate prints an actual null result as ` in text mode to distinguish it from the FEEL string "null" (which still prints as null`).

References

For detailed reference material, read from references/:

• [function-reference.md](references/function-reference.md) — complete list of built-in FEEL functions (string, numeric, list, context, date/time, boolean)
• [common-patterns.md](references/common-patterns.md) — date arithmetic, list filtering, multi-entry context patterns, fromAi() for agentic AI

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: camunda
• Source: camunda/skills
• License: Apache-2.0
• Homepage: https://camunda.com

Install and usage instructions live in the source repository linked above.