Agent skill · Databases

model-migration-plan

Plan the migration of an LLM feature from one model to another without breaking production. Use when a model is being deprecated, a newer model looks better or cheaper, or when asked how to upgrade models safely, run shadow traffic, or set rollback criteria for a model change. Produces a phased migration plan with eval gates, shadow/canary stages, prompt-adaptation notes, and rollback triggers. For choosing which model in the first place use model-selection-advisor.

mohitagw15856github.com/mohitagw15856GitHub ↗
claude-codecursorMIT
Install
npx skills add mohitagw15856/pm-claude-skills --skill model-migration-plan --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/model-migration-plan/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 1,255
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Model Migration Plan Skill A model swap changes every output of your feature at once. This skill plans the migration like the risky deploy it is: eval first, shadow second, canary third — with numbers, not vibes, deciding each promotion. ## What This Skill Produces - A **phased migration plan** (eval → shadow → canary → full) with promotion criteria per phase - **Prompt adaptation notes** — what typically shifts between models and what to re-tune - **Rollback triggers** and the mechanics of rolling back fast - A **cost/latency delta forecast** for the new model ## Required Inputs Ask for (if not already provided): - **Current and target model** (and why: deprecation, quality, cost, latency) - **The feature's traffic and blast radius** — requests/day, who sees the output, what a bad output costs - **Existing evals** — a regression suite (see `prompt-regression-suite`) or at minimum golden examples; if none exist, phase 0 is building one - **The deadline**, if the migration is forced by a deprecation date ## Migration Phases **Phase 0 — Baseline.** Freeze a regression suite against the *current* model. Without a baseline, "the new model is fine" is unfalsifiable. Record current cos

What's inside
Steps it walks through
  1. What This Skill Produces
  2. Required Inputs
  3. Migration Phases
  4. Prompt Adaptation Notes
  5. Rollback
  6. Output Format
  7. Model Migration Plan: [feature] — [current model] → [target model]
  8. Quality Checks
  9. Anti-Patterns
More from pm-claude-skills
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About this skill
What does the model-migration-plan skill do?

Plan the migration of an LLM feature from one model to another without breaking production. Use when a model is being deprecated, a newer model looks better or cheaper, or when asked how to upgrade models safely, run shadow traffic, or set rollback criteria for a model change. Produces a phased migration plan with eval gates, shadow/canary stages, prompt-adaptation notes, and rollback triggers. For choosing which model in the first place use model-selection-advisor.

How do I install it?

Run `npx skills add mohitagw15856/pm-claude-skills --skill model-migration-plan --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From mohitagw15856/pm-claude-skills, a repository with 1,255 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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