ielts-mock-review

Review IELTS mock test results and select high-impact repair tasks.

Updated Apr 13, 2026
One-click install
npx skills add https://github.com/xiaoshan1234/ai-skill --skill ielts-mock-review-xiaoshan1234
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: ielts-mock-review
Source: https://github.com/xiaoshan1234/ai-skill/tree/main/role/english-teacher/skills/ielts-mock-review
Command: npx skills add https://github.com/xiaoshan1234/ai-skill --skill ielts-mock-review-xiaoshan1234

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve? After finishing an IELTS mock test, learners often struggle to interpret section scores, question-level errors, and writing or speaking evidence, and to decide what to fix first. This Skill turns completed mock test data into a structured review that separates knowledge gaps, strategy errors, and time-management issues, then selects up to three high-impact repair tasks. ## Core Features & Use Cases - Section and Score Verification: Confirms which sections are complete and comparable, labels missing or interrupted parts, and never invents an overall band score. - Error Classification by Skill Code: Groups Reading and Listening misses by canonical skill codes and question types, and evaluates Writing and Speaking against local rubric evidence with stated confidence. - Repair Task Prioritization: Distinguishes knowledge gaps, strategy problems, and timing problems, then caps the plan at three high-impact repair tasks with a suggested retest condition. - Learning Record Integration: Records attempts and rubric evidence into a local SQLite mirror synced with the IELTS Buddy cloud event log for trend tracking across attempts. - Use Case: A learner finishes a full mock exam and asks for a review. The Skill verifies all four sections, finds that Reading True/False/Not Given and Writing idea development are the main loss patterns, and outputs three targeted repair tasks plus a retest date. ## Quick Start Ask the assistant to review your completed IELTS mock test using your section scores, question-level answers, and writing or speaking evidence, and produce a prioritized repair plan.

Frequently Asked Questions about ielts-mock-review

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I review my IELTS mock test results with an AI assistant?▼

Provide your section scores, timing, question-level answers for Reading and Listening, and your Writing answers or Speaking transcripts. The Skill verifies completeness, groups errors by skill code, and outputs up to three high-impact repair tasks with a suggested retest condition.

What data do I need for an IELTS mock test review?▼

You need the test type and date, section scores and timing, question-level answers for objective sections, and Writing or Speaking evidence. Missing or interrupted sections are explicitly labeled rather than filled with invented scores.

Can the review work without the IELTS Buddy MCP connection?▼

Yes. Without MCP, the Skill still runs local review workflows on learner-provided answers, essays, and transcripts. MCP is only needed for cloud learning events, question bank metadata, course progress, and browser-first practice links.

Does a single IELTS mock test score represent my real level?▼

No. The Skill explicitly treats one mock as unstable evidence and never presents it as an official result. Trends are only compared after multiple comparable attempts exist, and mock results are not official IELTS scores.

How are Writing and Speaking sections evaluated in the review?▼

They are assessed against local rubric evidence with normalized performance from 0 to 1 and a stated confidence level of low, medium, or high. Pronunciation is only assessed when actual audio evidence is available.

Where is my IELTS learning progress data stored?▼

Events are recorded in a local SQLite mirror at ~/.ielts-buddy/learning.db using the bundled learning_store.py script, then synced to the authenticated IELTS Buddy cloud event log when connectivity is available.