Data Transformation with Dasel v3
SkillFiles & storageUse when modifying, converting, or transforming structured data with dasel v3 — in-place mutations, format conversion, batch operations, array manipulation, object construction, and merge patterns across JSON, YAML, TOML, XML, CSV, HCL, INI
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Data Transformation with Dasel v3 skill
What this skill tells your AI
The instructions your AI receives, as published by jamie-bitflight/claude_skills in plugins/dasel/skills/data-transformation/SKILL.md and read by ahel’s review.
<when_to_use>
Activate this skill when:
- Modifying values in config files (YAML, TOML, JSON, XML, HCL, INI)
- Converting between data formats (JSON to YAML, TOML to JSON, etc.)
- Batch-updating array elements (prices, versions, flags)
- Appending, removing, or reshaping data structures
- Merging objects or constructing new structures from existing data
</when_to_use>
Safety Rules
NEVER redirect output to the same input file. This truncates the file before dasel reads it, resulting in data loss:
# WRONG — destroys input
cat config.yaml | dasel -i yaml --root 'port = 9090' > config.yaml
# CORRECT — write to temp, then rename
cat config.yaml | dasel -i yaml --root 'port = 9090' > config_tmp.yaml && mv config_tmp.yaml config.yaml
Always verify before overwriting. Preview the transformation output first, then redirect:
# Preview
cat config.yaml | dasel -i yaml --root 'server.port = 9090'
# Apply
cat config.yaml | dasel -i yaml --root 'server.port = 9090' > config_tmp.yaml && mv config_tmp.yaml config.yaml
Core Modification Syntax
In dasel v3, put and delete subcommands do not exist. All modifications use assignment expressions with --root to output the full document.
Set a Value
# Output full document with one field changed
cat config.yaml | dasel -i yaml --root 'server.port = 9090'
# Numeric, boolean, and string assignments
echo '{"count": 1}' | dasel -i json --root 'count = 42'
echo '{"enabled": false}' | dasel -i json --root 'enabled = true'
echo '{"name": "old"}' | dasel -i json --root 'name = "new"'
Set Nested Values
cat config.yaml | dasel -i yaml --root 'database.connection.host = "db.example.com"'
cat config.yaml | dasel -i yaml --root 'database.connection.port = 5432'
In-Place Modification (Safe Pattern)
# Single field update
cat config.yaml | dasel -i yaml --root 'server.port = 9090' > config_tmp.yaml && mv config_tmp.yaml config.yaml
# Multiple fields — chain with semicolons
cat config.yaml | dasel -i yaml --root 'server.port = 9090; server.host = "0.0.0.0"' > config_tmp.yaml && mv config_tmp.yaml config.yaml
Format Conversion
Pipe through dasel with different input/output format flags:
# JSON to YAML
cat data.json | dasel -i json -o yaml > data.yaml
# YAML to TOML
cat config.yaml | dasel -i yaml -o toml > config.toml
# JSON to XML
cat data.json | dasel -i json -o xml > data.xml
# TOML to JSON
cat config.toml | dasel -i toml -o json > config.json
# CSV to JSON
cat data.csv | dasel -i csv -o json > data.json
Array Operations
Append to Array
# Add element to end of array
echo '[1,2,3]' | dasel -i json --root '[$this..., 4]'
# Output: [1, 2, 3, 4]
# Append object to array
cat data.json | dasel -i json --root 'items = [$root.items..., {"name": "new", "value": 42}]'
Batch Update with each
# Multiply all prices by 1.1 (10% increase)
cat data.json | dasel -i json --root 'items.each(price = price * 1.1)'
# Set a flag on all elements
cat data.json | dasel -i json --root 'users.each(active = true)'
# Increment all values
echo '[1,2,3]' | dasel -i json --root 'each($this = $this + 1)'
Filter Then Transform
# Get only active users, then extract names
cat data.json | dasel -i json 'users.filter(active == true).map(name)'
Object Operations
Merge via Spread
# Add new key to existing object
cat base.json | dasel -i json --root '{ $root..., "newKey": "value" }'
# Merge two objects
cat base.json | dasel -i json --root '{ $root..., "extra": true, "version": 2 }'
Field Deletion via Reconstruction
Since v3 has no delete command, remove fields by constructing a new object with only the desired keys:
# Keep only "name" and "email", drop everything else
echo '{"name":"a","email":"b","password":"c"}' | dasel -i json --root '{ name, email }'
Field Rename via Reconstruction
echo '{"old_name": "value"}' | dasel -i json --root '{ "new_name": old_name }'
Multi-Step Transformations
Use variable assignment and semicolons for complex operations:
# Store intermediate result in variable, then transform
cat data.json | dasel -i json '$active = users.filter(active == true); $active.map(name)'
# Multiple variables
cat data.json | dasel -i json '$a = items.filter(price > 100); $b = $a.map(name); $b'
Conditional Transformation
# Set value based on condition
cat data.json | dasel -i json --root 'if(count > 5) { status = "many" } else { status = "few" }'
Transformation Patterns
For detailed per-use-case transformation patterns (config updates, batch processing, format migration, data reshaping, error handling), see Transformation Patterns.
References
- Dasel v3 Documentation (fetched 2026-02-19)
- Dasel Spread Operator (fetched 2026-02-19)
- Dasel each() Function (fetched 2026-02-19)
- Dasel filter() Function (fetched 2026-02-19)
- Dasel CHANGELOG (fetched 2026-02-19)
Signals
- GitHub stars
- 66
- Forks
- 10
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
data-transformation- Source
- github.com/jamie-bitflight/claude_skills