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Upgrade Prompt Models In-Place · growthxai | DecimalAI

agent toolingby growthxai

Upgrade Prompt Models In-Place

growthxai/output-dev-upgrade-prompt-models

Source growthxai/output ↗License Apache-2.0

Bulk-upgrade the model field across .prompt files to the latest version of each prompt's existing family.

SkillScore73Maintained

Automatic

AI Engineer pack

Last verified 9/2/2026

What it changes

Passed 15 of 20 test cases with the skill, and 4 of 20 without it.

Without skill18%

With skill73%

Checks it passed that the model alone missed

Target `src/` as the default search directory
Use `-mini$` to match models for the `openai-mini` family
Update the date in the comment to the current execution date

and 10 more in the full report

12 fixed4 passed either way6 still failing0 broke

Pass-rate lift: +55 pp
Tokens: +57%
Agent turns: 0%
Response time: -38%

Model gemini-3.6-flashMeasured 9/2/2026v316 of 22 cases passed with skill · 20 comparable

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/growthxai-output-dev-upgrade-prompt-models/SKILL.md https://app.decimal.ai/s/growthxai-output-dev-upgrade-prompt-models/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add growthxai-output-dev-upgrade-prompt-models, 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/growthxai-output-dev-upgrade-prompt-models/ and pins it in .decimal/skills.lock

decimalai skills add growthxai-output-dev-upgrade-prompt-models

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

curl -fsSL --create-dirs -o .claude/skills/growthxai-output-dev-upgrade-prompt-models/SKILL.md https://app.decimal.ai/s/growthxai-output-dev-upgrade-prompt-models/SKILL.md

Raw file: /s/growthxai-output-dev-upgrade-prompt-models/SKILL.md ↗ · machine-readable summary at /s/growthxai-output-dev-upgrade-prompt-models.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 12 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 12

Prompt

When classifying `gemini-1.5-flash-lite-001` from a frontmatter `model:` field, which snapshot family key and identifier matching rule must be applied?

What was checked, without and with the skill
Checked	Without skill	With skill
Match the model against the `google-flash-lite` family targeting the `google` snapshot key	Missed	Passed

case-11 · gemini-3.6-flash · 9/2/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md105 linessingle file

Upgrade Prompt Models In-Place

Walks every .prompt file in a project (or scoped subtree), classifies each model into its provider+family bucket, looks up the latest stable model in that bucket via the output-dev-model-selection snapshot, and rewrites the model: line. Provider and family tier are preserved — a Haiku stays a Haiku, an Anthropic stays an Anthropic.

This skill explicitly does not swap providers or escalate tiers (eg Haiku → Sonnet). Those are deliberate human decisions handled separately.

When to invoke

A periodic refresh: "upgrade all my prompt models to the latest"
After a long break between framework updates, where dated snapshot IDs (eg claude-sonnet-4-20250514) have aged out
Right after creating a new project from the CLI scaffolder, to pull every templated default forward to the current best

Workflow

Step 1 — Discover

Find every .prompt file under the target scope. Default scope is the project's src/ tree; the user may scope to a single workflow.

Step 2 — Parse current model

For each file, read the YAML frontmatter (between the first pair of --- lines) and pull out provider: and model:.

Step 3 — Classify family

Match the existing model into a family bucket. Family is preserved across the upgrade.

Pattern	Family
`claude-opus-*`	`anthropic-opus`
`claude-sonnet-*`	`anthropic-sonnet`
`claude-haiku-*`	`anthropic-haiku`
`gpt-*-pro`	`openai-pro`
`gpt-*-mini`	`openai-mini`
`gpt-*-nano`	`openai-nano`
`gpt-N.M` (no suffix)	`openai-default`
`gemini--flash-lite`	`google-flash-lite`
`gemini--flash`	`google-flash`
`gemini--pro`	`google-pro`

If a model doesn't match any pattern, skip the file and log a warning. Do not guess.

Track record

Benchmark

15 / 20

test cases passed, vs 4 / 20 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 v5 — 9/2/2026

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

growthxai / output

coding_assistants/claude/plugins/outputai/skills/output-dev-upgrade-prompt-models/SKILL.md

View on GitHub ↗

License Apache-2.0Imported 9/2/2026Version v3

More skills from the same source and nearby in the registry, with their headline benchmark lift.

Ready to supercharge your AI agents?

See it in action

What's inside

Upgrade Prompt Models In-Place

When to invoke

Workflow

Step 1 — Discover

Step 2 — Parse current model

Step 3 — Classify family

Track record

Benchmark

Adoption

SkillSafety

Source

Related skills