From ctx-customer-pack
Ai readiness tools: get_ai_readiness_history, get_ai_readiness
npx claudepluginhub codota/ctx-customer-pack-distributable --plugin ctx-customer-packThis skill is limited to using the following tools:
> Auto-generated from 2 exported tool(s) in the Context Engine.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Migrates code, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to Opus 4.5, updating model strings on Anthropic, AWS, GCP, Azure platforms.
Automates semantic versioning and release workflow for Claude Code plugins: bumps versions in package.json, marketplace.json, plugin.json; verifies builds; creates git tags, GitHub releases, changelogs.
Auto-generated from 2 exported tool(s) in the Context Engine.
Get the historical AI Readiness snapshots for a repository. Returns all snapshots ordered by date, allowing you to track improvements over time.
Call mcp__tabnine-ctx-cloud__get_ai_readiness_history with parameters:
| Parameter | Type | Required | Description |
|---|---|---|---|
| repository | string | No | Repository name to get AI readiness history for (e.g., "acme/web-app"). Supports partial matching. |
| dataSourceId | string | No | Data source ID to filter by (alternative to repository name) |
| limit | number | No | Maximum number of snapshots to return (default 10) |
Get the latest AI Readiness snapshot for a repository. Returns the overall score, grade, dimension scores, and recommendations. Run the ai-readiness-analyzer agent first to populate this data.
Call mcp__tabnine-ctx-cloud__get_ai_readiness with parameters:
| Parameter | Type | Required | Description |
|---|---|---|---|
| repository | string | No | Repository name to get AI readiness for (e.g., "acme/web-app"). Supports partial matching. |
| dataSourceId | string | No | Data source ID to filter by (alternative to repository name) |