Registry indexed
Use when a user needs help triaging dbt-core to Fusion migration errors. Runs dbt-autofix first, then classifies remaining errors into actionable categories (auto-fixable, guided fixes, needs input, blocked).
Use when a user needs help triaging dbt-core to Fusion migration errors. Runs dbt-autofix first, then classifies remaining errors into actionable categories (auto-fixable, guided fixes, needs input, blocked).
Source documentation, not instructions for this website. Review permissions before running any commands.
Help users understand which Fusion migration errors they can fix themselves vs which are blocked on Fusion updates. Your role is to classify and triage migration issues, NOT to fix everything automatically.
Key principle: Not all migration issues are fixable in your project. Some require Fusion updates. Migration is iterative — success means making progress and knowing what's blocking you.
This skill is a strict procedure, not general guidance.
The assistant must follow this order:
dbt debugdbt-autofix, then review its changesHard rules:
dbt1065 package version compatibility warnings specifically (e.g. Package '<package_name>' requires dbt version [>=1.2.0, <2.0.0]) — ignore these. If autofix was run, it will have already upgraded packages that need upgrading. If dbt1065 warnings persist after autofix, no manual package updates are needed.By default this skill uses dbt compile to reproduce and validate errors. The command can be customized:
dbt build, dbt test --select tag:my_tag), use that insteadrepro_command.txt file exists in the project root, use the command from that fileBefore doing anything else, ask the user if they'd like to verify their credentials work on Fusion.
Ask: "Would you like to start by running dbt debug to verify your credentials and connection work on Fusion? This catches environment issues early before we dig into migration errors."
Run:
dbt debug
What to check in the output:
dbt debug fails:profiles.yml and credentials before proceeding. Migration triage can't begin until the connection works.dbt debug checks may not be relevant to the migrationdbt debug succeeds:Confirm the environment is healthy and proceed to Step 1.
That's fine — proceed to Step 1. But if connection errors appear later during classification, circle back and suggest running dbt debug.
Before classifying any errors, ensure the user has run dbt-autofix on their project.
Prompt the user to run dbt-autofix (a first-party tool maintained by dbt Labs that automatically fixes common deprecation patterns):
uvx --from git+https://github.com/dbt-labs/dbt-autofix.git dbt-autofix deprecations
Important: Wait for autofix to complete before proceeding with classification.
Before analyzing any migration errors, you MUST understand what autofix changed:
Review the git diff (if project is in git):
git diff HEAD~1
Read autofix logs (if available):
Key things to look for:
meta:?Why this matters: Some migration errors may be CAUSED by autofix bugs or incorrect transformations. Understanding what autofix changed helps you:
Do not proceed with classification until you understand autofix's changes.
Use the 4-category framework to triage errors. For the full pattern catalog see the Error Patterns Reference. For detailed category definitions see Classification Categories.
Can fix automatically with HIGH confidence
warn_if='{{ "text" }}'analyses/ files (dbt0209, dbt0404, or other codes < 1000) — analyses are optional query files, not production models. The correct fix is to add {{ config(static_analysis='off') }} at the top of the analysis SQL file. Do not rewrite the SQL or remove content — just disable static analysis for that file.Can fix with user approval — show diffs first
config.require('meta').key to config.meta_require('key').meta_get() error (dbt1501) — dict.meta_get() to dict.get()meta:dbt1065 package compatibility warnings (e.g. Package '<package_name>' requires dbt version [>=1.2.0, <2.0.0]) are not errors — autofix handles package upgrades. If dbt1065 warnings persist after autofix, no manual action is needed.static_analysis: off for the model--models/-m, replace with --select/-sSELECT 1 or column listRequires user decision — multiple valid approaches
analyses/ queries — ask if analysis is actively usedRequires Fusion updates — not directly fixable in user code.
When an error is Category D:
Category D signals:
WebFetch with URL https://api.github.com/search/issues?q=repo:dbt-labs/dbt-fusion+<error_code>+<keywords>&type=issues to find existing issues. Don't tell the user to search manually — do it yourself.panic!, internal error, RUST_BACKTRACEnot yet implemented: Adapter::methodWhen classifying errors, check in this order:
site:github.com/dbt-labs/dbt-fusion/issues <error_code> <keywords> — Category D if open issue with no workaroundInclude autofix context at the start of your analysis:
Autofix Review:
- Files changed by autofix: X files
- Key changes: [brief summary]
- Potential autofix issues: [if any detected]
Format your analysis clearly:
Analysis Complete - Found X errors
Category A (Auto-fixable - Safe): Y issues
Static analysis in 3 analyses/ — Can disable automatically
Quote nesting in config — Can fix automatically
Category B (Guided fixes - Need approval): Z issues
config.require('meta') API change (3 files) — I'll show exact diffs
Unused schema entries (2 files) — I'll show what to remove
Source name mismatches (1 file) — Needs alignment with YAML
Category C (Needs your input): W issues
Permission error in model orders — Hardcoded table name - is this a ref or source?
Failing analysis — Is this actively used or can we disable it?
Category D (Blocked - Not fixable in project): V issues
MiniJinja conformance gap — Fusion fix needed (issue #1234)
Recording/replay error — Test framework issue, not a product bug
Recommendation: [What should happen next]
Before fixing anything, ensure you've reviewed autofix changes (see Step 1).
After classification:
Critical validation rule: After EVERY fix, re-run the repro command (see Repro Command Behavior) — NOT just dbt parse.
Handle cascading errors: Fixing one error often reveals another underneath. This is expected.
name: migrating-dbt-core-to-fusion description: Use when a user needs help triaging dbt-core to Fusion migration errors. Runs dbt-autofix first, then classifies remaining errors into actionable categories (auto-fixable, guided fixes, needs input, blocked). allowed-tools: "Bash(dbt:*), Bash(git:*), Bash(uvx:*), Read, Write, Edit, Glob, Grep, WebFetch(domain:api.github.com)" compatibility: "dbt Fusion" metadata: author: dbt-labs
---
name: migrating-dbt-core-to-fusion
description: Use when a user needs help triaging dbt-core to Fusion migration errors. Runs dbt-autofix first, then classifies remaining errors into actionable categories (auto-fixable, guided fixes, needs input, blocked).
allowed-tools: "Bash(dbt:*), Bash(git:*), Bash(uvx:*), Read, Write, Edit, Glob, Grep, WebFetch(domain:api.github.com)"
compatibility: "dbt Fusion"
metadata:
author: dbt-labs
---
# Fusion Migration Triage Assistant
Help users understand which Fusion migration errors they can fix themselves vs which are blocked on Fusion updates. Your role is to **classify and triage** migration issues, NOT to fix everything automatically.
**Key principle**: Not all migration issues are fixable in your project. Some require Fusion updates. Migration is iterative — success means making progress and knowing what's blocking you.
## Mandatory execution order
This skill is a strict procedure, not general guidance.
The assistant must follow this order:
1. Step 0: Ask whether to run `dbt debug`
2. Step 1: Run or confirm `dbt-autofix`, then review its changes
3. Step 2: Classify remaining issues
4. Only after Steps 0–2 may the assistant propose or apply manual fixes
Hard rules:
- Do not inspect project files before Step 0 is completed or explicitly skipped
- Do not classify issues before Step 1 is complete
- Do not edit files before presenting the autofix review and classification summary
- If these rules are violated, acknowledge the violation, state which step was missed, and execute that step now before continuing
- **Focus on errors**: For `dbt1065` package version compatibility warnings specifically (e.g. `Package '<package_name>' requires dbt version [>=1.2.0, <2.0.0]`) — ignore these. If autofix was run, it will have already upgraded packages that need upgrading. If `dbt1065` warnings persist after autofix, no manual package updates are needed.
## Additional Resources
- [References Overview](references/README.md) — index of all reference material
- [Error Patterns Reference](references/error-patterns-reference.md) — full catalog of error patterns by category
- [Classification Categories](references/classification-categories.md) — detailed category definitions with sub-patterns, signals, fixes, and risk notes
## Repro Command Behavior
By default this skill uses `dbt compile` to reproduce and validate errors. The command can be customized:
- If the user specifies a different command (e.g. `dbt build`, `dbt test --select tag:my_tag`), use that instead
- If a `repro_command.txt` file exists in the project root, use the command from that file
## Step 0: Validate Credentials with dbt debug
**Before doing anything else**, ask the user if they'd like to verify their credentials work on Fusion.
Ask: "Would you like to start by running `dbt debug` to verify your credentials and connection work on Fusion? This catches environment issues early before we dig into migration errors."
### If the user agrees:
Run:
```bash
dbt debug
```
**What to check in the output:**
- **Connection test**: Does it say "Connection test: OK"? If not, credentials need fixing first — this is NOT a migration issue
- **profiles.yml found**: Is it loading the correct profile/target?
- **Dependencies**: Are packages installed?
### If `dbt debug` fails:
- **Connection/auth errors**: Help the user fix their `profiles.yml` and credentials before proceeding. Migration triage can't begin until the connection works.
- **Profile not found**: Help locate or configure the correct profile for Fusion
- **Other errors**: Note them and proceed — some `dbt debug` checks may not be relevant to the migration
### If `dbt debug` succeeds:
Confirm the environment is healthy and proceed to Step 1.
### If the user skips this step:
That's fine — proceed to Step 1. But if connection errors appear later during classification, circle back and suggest running `dbt debug`.
## Step 1: Run dbt-autofix (REQUIRED FIRST STEP)
**Before classifying any errors**, ensure the user has run dbt-autofix on their project.
### Check if autofix has been run:
1. Ask user: "Have you run dbt-autofix on this project yet?"
2. Check git history for recent autofix-related commits
3. Check for autofix log files
### If NOT run yet:
Prompt the user to run [dbt-autofix](https://github.com/dbt-labs/dbt-autofix) (a first-party tool maintained by dbt Labs that automatically fixes common deprecation patterns):
```bash
uvx --from git+https://github.com/dbt-labs/dbt-autofix.git dbt-autofix deprecations
```
**Important**: Wait for autofix to complete before proceeding with classification.
### Understand autofix changes (CRITICAL):
Before analyzing any migration errors, you MUST understand what autofix changed:
1. **Review the git diff** (if project is in git):
```bash
git diff HEAD~1
```
2. **Read autofix logs** (if available):
- Look for autofix output files
- Check terminal output saved by user
- Understand which files were modified and why
3. **Key things to look for**:
- Which patterns did autofix apply?
- What config keys were moved to `meta:`?
- What YAML structures changed?
- What Jinja modifications were made?
- Were any package versions updated? (autofix upgrades packages that require it)
**Why this matters**: Some migration errors may be CAUSED by autofix bugs or incorrect transformations. Understanding what autofix changed helps you:
- Identify if a current error was introduced by autofix
- Revert autofix changes if they caused new issues
- Avoid suggesting fixes that conflict with autofix changes
- Know which patterns autofix already attempted (don't duplicate)
### If autofix caused issues:
- Document which autofix change caused the problem
- Consider reverting that specific change
- Report the autofix bug pattern for future reference
**Do not proceed with classification until you understand autofix's changes.**
## Step 2: Classify Errors
Use the 4-category framework to triage errors. For the full pattern catalog see the [Error Patterns Reference](references/error-patterns-reference.md). For detailed category definitions see [Classification Categories](references/classification-categories.md).
### Category A: Auto-Fixable (Safe)
**Can fix automatically with HIGH confidence**
- Quote nesting in config (dbt1000) — use single quotes outside: `warn_if='{{ "text" }}'`
- Static analysis errors in `analyses/` files (dbt0209, dbt0404, or other codes < 1000) — analyses are optional query files, not production models. The correct fix is to add `{{ config(static_analysis='off') }}` at the top of the analysis SQL file. Do **not** rewrite the SQL or remove content — just disable static analysis for that file.
### Category B: Guided Fixes (Need Approval)
**Can fix with user approval — show diffs first**
- Config API deprecated (dbt1501) — `config.require('meta').key` to `config.meta_require('key')`
- Plain dict `.meta_get()` error (dbt1501) — `dict.meta_get()` to `dict.get()`
- Unused schema.yml entries (dbt1005) — remove orphaned YAML entries
- Source name mismatches (dbt1005) — align source references with YAML definitions
- YAML syntax errors (dbt1013) — fix YAML syntax
- Unexpected config keys (dbt1060) — move custom keys to `meta:`
- Package version issues (dbt8999) — update versions, use exact pins. `dbt1065` package compatibility warnings (e.g. `Package '<package_name>' requires dbt version [>=1.2.0, <2.0.0]`) are not errors — autofix handles package upgrades. If `dbt1065` warnings persist after autofix, no manual action is needed.
- SQL parsing errors — suggest rewriting the logic (with user approval), or set `static_analysis: off` for the model
- Deprecated CLI flags (dbt0404) — if the repro command uses `--models/-m`, replace with `--select/-s`
- Duplicate doc blocks (dbt1501) — rename or delete conflicting blocks
- Seed CSV format (dbt1021) — clean CSV format
- Empty SELECT (dbt0404) — add `SELECT 1` or column list
### Category C: Needs Your Input
**Requires user decision — multiple valid approaches**
- Permission errors with hardcoded FQNs — ask if model, source, or external table
- Failing `analyses/` queries — ask if analysis is actively used
### Category D: Blocked (Requires Fusion Updates)
**Requires Fusion updates — not directly fixable in user code.**
When an error is Category D:
1. Identify it as blocked
2. Explain why (Fusion engine gap, known bug, etc.)
3. Link the GitHub issue if one exists
4. **Suggest alternative approaches while clearly describing the risks** (e.g., workarounds may be fragile, may break on next Fusion update, may have semantic differences)
5. Let the user decide whether to apply a workaround or wait for the Fusion fix
Category D signals:
- Fusion engine gaps — MiniJinja differences, parser gaps, missing implementations, wrong materialization dispatch
- Known GitHub issues — **always search proactively**: use `WebFetch` with URL `https://api.github.com/search/issues?q=repo:dbt-labs/dbt-fusion+<error_code>+<keywords>&type=issues` to find existing issues. Don't tell the user to search manually — do it yourself.
- Engine crashes — `panic!`, `internal error`, `RUST_BACKTRACE`
- Adapter methods not implemented — `not yet implemented: Adapter::method`
## Pattern Matching Priority Order
When classifying errors, check in this order:
1. **Static Analysis (Highest Confidence)**: Error code < 1000 (e.g., dbt0209, dbt0404) — Category A or B
2. **Known User-Fixable Patterns**: Match against Category A and B patterns above
3. **Fusion Engine Gaps (Need GitHub Check)**: If error suggests a Fusion limitation (MiniJinja, parser, missing features), search `site:github.com/dbt-labs/dbt-fusion/issues <error_code> <keywords>` — Category D if open issue with no workaround
4. **Unknown**: No pattern match, needs investigation
## Presenting Findings to Users
**Include autofix context** at the start of your analysis:
```
Autofix Review:
- Files changed by autofix: X files
- Key changes: [brief summary]
- Potential autofix issues: [if any detected]
```
Format your analysis clearly:
```
Analysis Complete - Found X errors
Category A (Auto-fixable - Safe): Y issues
Static analysis in 3 analyses/ — Can disable automatically
Quote nesting in config — Can fix automatically
Category B (Guided fixes - Need approval): Z issues
config.require('meta') API change (3 files) — I'll show exact diffs
Unused schema entries (2 files) — I'll show what to remove
Source name mismatches (1 file) — Needs alignment with YAML
Category C (Needs your input): W issues
Permission error in model orders — Hardcoded table name - is this a ref or source?
Failing analysis — Is this actively used or can we disable it?
Category D (Blocked - Not fixable in project): V issues
MiniJinja conformance gap — Fusion fix needed (issue #1234)
Recording/replay error — Test framework issue, not a product bug
Recommendation: [What should happen next]
```
## Progressive Fixing Approach
**Before fixing anything**, ensure you've reviewed autofix changes (see Step 1).
**After classification:**
1. **Category A**: Get confirmation, apply automatically, validate
- Check: Did autofix already attempt this? Don't duplicate
2. **Category B**: Show diff for ONE fix at a time, get approval, apply, validate
- Check: Does this conflict with autofix changes?
3. **Category C**: Present options, wait for user decision, apply chosen fix, validate
- Consider: Did autofix cause this issue?
4. **Category D**: Document the blocker clearly with GitHub links, explain why it's blocked, suggest alternative approaches while describing the risks, and let the user decide whether to apply a workaround or wait for the Fusion fix.
**Critical validation rule**: After EVERY fix, re-run the repro command (see [Repro Command Behavior](#repro-command-behavior)) — NOT just `dbt parse`.
**Handle cascading errors**: Fixing one error often reveals another underneath. This is expected.Skill source recorded
Skill instructions are recorded. This is not a runtime test, safety guarantee or compatibility certification.
Review before install: Avoid automatic install
License: Apache-2.0
Listed tools are metadata hints, not tested compatibility. Agent prompts are suggested handoffs.
Repository metadata and review signals are advisory. Popularity, source discovery and successful execution are different facts.
Version reported in registry metadata; check source releases before relying on it.
Quality
75/100
Strong
Trust
66/100
This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.
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"Financial research output is not financial advice; require human review before any live investment decision.",
"Quality score needs review",
"Permission surface needs review: secrets or environment access, shell or command execution",
"Dependency/runtime risk: command execution surface, credential or environment access",
"Permission surface: secrets or environment access, shell or command execution"
]
},
"safety_gate": {
"tier": "blocked",
"label": "Blocked for auto-install",
"auto_install_policy": "block",
"auto_install_allowed": false,
"human_review_required": true,
"blocked": true,
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first."
},
"quality": {
"score": 75,
"label": "Strong"
},
"supply": {
"track": "Design and creative production",
"scenario": "Design and creative",
"maintenance": "12d since push",
"risk": "Needs review"
},
"alternative_skills": [],
"do_not_use_when": [
"teams that need a vendor-supported SLA",
"high-compliance environments without internal security review",
"No major risk signals from current metadata",
"High-risk permission hints: Shell or command execution, Secrets or environment access",
"Dependency or permission surface needs review",
"Permission surface may require sandboxing",
"Financial research output is not financial advice; require human review before any live investment decision",
"Financial research output is not financial advice; require human review before any live investment decision."
],
"agent_contract": {
"task_input": "Use migrating-dbt-core-to-fusion in an agent workflow",
"recommended_action": "Do not auto-install. Inspect the source, dependencies, and permission surface first.",
"install_policy": "block",
"minimum_review_before_use": [
"Trust: 74/100 Strong shortlist",
"Audit: 80/100 Needs review",
"Safety: 36/100 Avoid automatic install",
"Review repository, license, install command, and permission surface before production use."
],
"expected_agent_output": {
"selected_skill": "dbt-labs-migrating-dbt-core-to-fusion (migrating-dbt-core-to-fusion)",
"install_command": "npx skills add dbt-labs/dbt-agent-skills --skill migrating-dbt-core-to-fusion",
"risk_summary": "Needs review; Blocked for auto-install; Review before production",
"verification_result": "Report the smallest successful task, files touched, warnings, and any missing setup."
}
},
"outcome_feedback": {
"endpoint": "https://www.openagentskill.com/api/agent/outcome",
"method": "POST",
"requires_resolve_event_id": true,
"event_id_source": "Use install_receipt.outcome_feedback.event_id or feedback.event_id returned by /api/agent/resolve for the current task.",
"expected_outcomes": [
"success",
"failed",
"not_relevant",
"blocked_by_risk",
"setup_required"
],
"payload_template": {
"event_id": "<install_receipt.outcome_feedback.event_id or feedback.event_id from /api/agent/resolve>",
"skill_slug": "dbt-labs-migrating-dbt-core-to-fusion",
"task": "Use migrating-dbt-core-to-fusion in an agent workflow",
"agent": "codex",
"outcome": "success",
"install_used": true,
"risk_blocked": false,
"setup_required": false,
"task_success": true,
"output_quality": 4,
"error_type": null,
"human_review_required": false,
"workspace": "sandbox",
"time_to_useful_ms": 120000,
"notes": "Report the smallest successful task, setup friction, files touched, and risk notes."
}
},
"endpoints": {
"web": "https://www.openagentskill.com/skills/dbt-labs-migrating-dbt-core-to-fusion",
"api": "https://www.openagentskill.com/api/agent/skills/dbt-labs-migrating-dbt-core-to-fusion",
"audit": "https://www.openagentskill.com/skills/dbt-labs-migrating-dbt-core-to-fusion/audit",
"eval": "https://www.openagentskill.com/api/agent/evals?slug=dbt-labs-migrating-dbt-core-to-fusion&task=Use%20migrating-dbt-core-to-fusion%20in%20an%20agent%20workflow&max_risk=medium",
"resolve": "https://www.openagentskill.com/api/agent/resolve?task=Use%20migrating-dbt-core-to-fusion%20in%20an%20agent%20workflow&agent=codex&max_risk=medium",
"receipt": "https://www.openagentskill.com/api/agent/receipt?task=Use%20migrating-dbt-core-to-fusion%20in%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text",
"install": "https://www.openagentskill.com/api/skills/dbt-labs-migrating-dbt-core-to-fusion/install",
"manifest": "https://www.openagentskill.com/api/registry/manifest/dbt-labs-migrating-dbt-core-to-fusion"
}
}Listing source
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Sandbox only
Audit
80/100
Needs review
Copies are not installs. Installation counts require a reported successful installation; they are not a blanket quality guarantee.