dagster-branching-to-orchestra

dagster-branching-to-orchestra is a skill for Claude Code from orchestra-hq/orchestra-skills. It costs 107 tokens per session (1,713 once invoked), scanned A, original, MIT.

A migration guide for changing conditional branches in Dagster workflows into condition expressions in Orchestra. Dagster and Orchestra are tools for defining and running data workflows.

In plain words
What is it for?
Use it when converting Dagster outputs, conditional ops, dynamic branching, or asset skip logic into Orchestra stages.
Why use it?
It explains how to preserve decisions about which workflow steps run when moving between the two systems.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the migrate-to-orchestra plugin — 52 skills shipped together

Good fit Use it when converting Dagster outputs, conditional ops, dynamic branching, or asset skip logic into Orchestra stages.

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Install with agentmods
npx agentmods add skills/orchestra-hq/orchestra-skills/dagster-branching-to-orchestra
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add orchestra-hq/orchestra-skills --skill dagster-branching-to-orchestra
Clone the repo
git clone --depth 1 https://github.com/orchestra-hq/orchestra-skills

Made for: Claude Code.

Or install migrate-to-orchestra, the plugin that ships this one along with the rest of its 52 skills.

Wrote this? Show the measurements

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README.md
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Per session 107 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,713 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00107 $0.01713
Opus 5 $0.00053 $0.00856
Sonnet 5 $0.00021 $0.00343
Haiku 4.5 $0.00011 $0.00171

Measured 12d ago against content hash 623caf20ef97, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

dagster-branching-to-orchestra scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/migrate-to-orchestra/skills/dagster-branching-to-orchestra/SKILL.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Dagster Branching / Conditional Execution -> Orchestra Condition Expressions

Overview

Dagster expresses conditional execution through ops with multiple Out definitions (is_required=False) that conditionally yield Output(value, "branch_name"). Downstream ops wired to a branch only run when that branch is yielded. There is no trigger_rule and no dedicated branch operator — branching is data-flow driven.

Orchestra replaces this with condition: — a string expression evaluated per task or task group using ${{ expression }} syntax. The expression must be truthy for the task/stage to run. The conversion question is always: is the branch decided at trigger time (use inputs:) or at runtime (use an upstream task's OUTPUTS)?


Mapping Dagster patterns

Dagster pattern Orchestra equivalent
Op with multiple Out(is_required=False), conditional yield Output(..., "name") Mutually-exclusive condition: on each downstream stage
Branch decided by config condition: "${{ inputs.x == ... }}"
Branch decided by upstream computation Upstream PYTHON/SQL task with set_outputs: true, downstream condition: on its OUTPUTS
"run regardless of upstream status" treat_failure_as_warning: true upstream + no downstream condition
DynamicOut fan-out Orchestra matrix block (parallel mapping) — not a condition
Asset skip when no new data (AutomationCondition) condition: gated on an upstream output, or a sensor (see dagster-sensors-to-orchestra)

Condition Expression Reference

Variables available

Variable Type Example
task_groups['id'].all().status String == 'SUCCEEDED'
task_groups['id'].any().status String == 'FAILED'
inputs.my_input Any == 'prod'
ORCHESTRA.CURRENT_TIME Timestamp format_date(ORCHESTRA.CURRENT_TIME, '%H') == '04'
ORCHESTRA.PIPELINE_RUN_TASKS['task_id'].OUTPUTS['key'] Any == 'expected_value'
matrix.input_name Any Inside matrix task groups

Read the full file on GitHub · 193 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 12d ago First seen · 193 lines · 107 tokens per session scan A 623caf20ef97

Subscribe to this mod's changes

dagster-branching-to-orchestra is a skill published in the GitHub repository orchestra-hq/orchestra-skills (9 stars, last pushed 3d ago), licensed MIT. It adds 107 tokens to every session and 1,713 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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