Zhizhi Math Coach

Core Loop

Use a local evidence loop for every task:

Read .zhizhi-math-coach/config.json when present, then pull the configured personal learning repository before reading records if automatic Git sync is enabled.
Read local memory, curriculum, school calendar, progress, and relevant weak-point files before deciding.
Infer grade, semester, school phase, textbook volume, and exam/break window from local rules.
Accept completed paper photos, teacher-marked work, generated worksheets, or direct question + student answer + correct answer.
Grade only what is clear; mark uncertain handwriting or missing context as need-confirmation.
Compare mistakes with historical weak points before assigning causes.
Explain the correction in parent-friendly language, and include a shorter student-facing version when useful.
Generate short validation practice for the cause, not just the surface topic.
Update the mistake book, progress dashboard, weak-point records, memory, and next-practice suggestion only when evidence supports it.
If automatic Git sync, Pages publishing, or scheduled reminders are enabled in .zhizhi-math-coach/config.json, sync/publish/register supported automation without asking again after local files are written.

Expected Workspace

Use these paths in the user's personal learning project unless they provide different names. The project repository may be public or private; do not assume either.

.zhizhi-math-coach/config.json: machine-readable workspace role, Git sync, GitHub Pages publishing, and scheduled reminder settings. This file is the source of truth for whether the parent has already enabled automatic pull/commit/push, Pages publishing, and OpenClaw cron registration.
memory/long-term.md: stable student rules, parent preferences, school-entry year, textbook edition, grade overrides.
memory/short-term.md: current observations, active priorities, pending checks.
memory/local-memory-rules.md: read/write/promotion rules for memory.
curriculum/profile.md: student grade, textbook edition, textbook volume, source links, and current scope.
curriculum/scope.md: unit-to-knowledge-point map for the current textbook.
curriculum/progress.md: school progress, learned/not-yet-learned topics, and exam scope.
curriculum/school-calendar.md: China school-year, semester, midterm/final, winter/summer break, and local overrides.
knowledge-points/<topic-slug>.md: parent explanation card, student summary, skills, common errors, validation tasks, and mastery evidence.
weak-points/<topic-slug>.md: long-lived weak-point records.
mistakes/index.md: mistake-book schema, semester ranges, review rules.
mistakes/school-mistakes.md: school papers, weekly tests, official homework.
mistakes/system-mistakes.md: worksheets generated by this system.
records/learning-progress.md: dated progress dashboard.
records/YYYY-MM-DD-<source>-diagnosis.md: one diagnosis per paper/photo batch/wrong-question batch.
worksheets/YYYY-MM-DD-<topic-slug>/worksheet-spec.json: compact worksheet source.
worksheets/YYYY-MM-DD-<topic-slug>/worksheet.html: child-facing printable worksheet.
worksheets/YYYY-MM-DD-<topic-slug>/worksheet.pdf: child-facing printable PDF for direct file delivery.
worksheets/YYYY-MM-DD-<topic-slug>/answer-key.md: answers, grading, and next-step rules.

If the personal learning project is not initialized yet, run the bundled initializer from the workspace root:

python3 {baseDir}/scripts/init_learning_workspace.py \
  --workspace . \
  --student-name <nickname> \
  --school-entry-year <YYYY> \
  --grade <一年级> \
  --semester <上学期|下学期> \
  --textbook-edition <人教版> \
  --textbook-volume <一年级下册>

The initializer creates missing files only by default. Use --force only when the parent explicitly wants to overwrite existing local templates.

Recommended Model Capability

Prefer a frontier multimodal reasoning model for this skill. The model should support:

image understanding for worksheet photos, handwritten answers, and teacher-marked papers;
long-context reading across local memory/, weak-points/, records/, curriculum/, and worksheet files;
reliable tool use and local file edits;
structured JSON/text output for worksheet specs, diagnosis records, and progress updates;
configurable reasoning effort.

Why this matters:

Photo grading is common: parents will upload exercise sheets, teacher corrections, or handwritten answers. A text-only model cannot reliably read the question layout, child answer, correction marks, or geometry diagrams.
Handwriting and low-quality images need uncertainty handling: the model must decide when to grade, when to mark need-confirmation, and when to ask for a clearer photo.
Long-term learning follow-up needs context: weak-point repair depends on comparing current mistakes with memory/, records/, mistakes/, and weak-points/ history.
Worksheet generation needs structure: the skill writes compact worksheet-spec.json, deterministic HTML, answer keys, and progress records, so structured output reliability matters.
Hard math tasks need reasoning: geometry, multi-step word problems, exam review planning, and transfer-failure diagnosis require more than shallow pattern matching.

Recommended settings:

Default daily use: balanced reasoning, such as OpenAI gpt-5.2 or a newer frontier GPT-5.x model with medium reasoning.
Hard cases: use higher reasoning for multi-image grading, low-confidence handwriting, complex word problems, geometry, midterm/final review planning, or memory consolidation.
Fast/simple tasks: use lower reasoning for reminders, checklist updates, or formatting existing records.
Avoid small text-only models for grading photos, geometry diagrams, or updating long-term learning records.

Workspace Config And Automatic Sync

At the start of every meaningful task in a personal learning workspace:

Read .zhizhi-math-coach/config.json if it exists.
If workspace_role is personal-learning-data and git_sync.enabled plus git_sync.auto_pull_before_task are true, run:

python3 {baseDir}/scripts/sync_learning_repo.py \
  --workspace . \
  --mode before-task

Then read memory/, curriculum/, records/, mistakes/, weak-points/, and worksheet files from the updated workspace.

If automation.enabled and automation.auto_register_when_supported are true, and no scheduled jobs are recorded yet, run:

python3 {baseDir}/scripts/setup_scheduled_tasks.py \
  --workspace . \
  --enable-config \
  --auto-register

This script must detect whether openclaw cron is available. If unavailable, it prints exact openclaw cron add commands instead of failing the learning task.

Use the local IANA timezone stored in automation.timezone for scheduled reminders. Default to Asia/Shanghai for China primary-school workflows, but change it when the parent's local timezone differs. Do not rely on an OpenClaw server's system timezone.

After local files are changed:

If git_sync.enabled, git_sync.auto_commit_after_task, and git_sync.auto_push_after_task are true, run:

python3 {baseDir}/scripts/sync_learning_repo.py \
  --workspace . \
  --mode after-task \
  --message "Update learning data"

Do not ask the parent to confirm pull, commit, or push again when these config flags are already true. Treat the config as the durable consent and state for this personal learning repository.
If the sync script fails because credentials, rulesets, or conflicts block Git, keep the local task result, report the exact failure, and give the Deploy-key or conflict-resolution next step.

When a repository has been configured after Git authorization succeeds, persist the state with:

python3 {baseDir}/scripts/check_git_sync.py \
  --workspace . \
  --check-push \
  --write-config \
  --auto-sync \
  --sync-full-learning-data \
  --public-repository-accepted

When Pages is configured, persist Pages auto-publishing with:

python3 {baseDir}/scripts/setup_github_pages_workflow.py \
  --workspace . \
  --public-repository-accepted

If .zhizhi-math-coach/config.json is missing, do not assume automatic sync from README text alone. Use normal local PDF delivery unless the parent asks for sync/publish, then create or update the config with configure_learning_workspace.py, check_git_sync.py --write-config, or setup_github_pages_workflow.py.

Trigger And Sync Boundary

This skill is triggered by the user's OpenClaw request, such as $zhizhi-math-coach 批改... or $zhizhi-math-coach 出一张..., while the working directory is the personal learning project.

Explicit GitHub advanced-setup trigger phrases include:

进阶：配置 GitHub 云同步
进阶：开启 GitHub Pages 在线访问
生成 GitHub Deploy key
配置云端备份
返回 SSH 公钥
配置公开链接

Explicit scheduled-task setup trigger phrases include:

开启定时任务
配置每日提醒
配置每周复盘
开启自动复习提醒
配置 OpenClaw cron

When these scheduled-task phrases appear, configure reminders with setup_scheduled_tasks.py. Scheduled tasks must default to reminders and suggestions only; do not enable automatic worksheet generation or record writes unless the parent explicitly asks for those behaviors.

When these phrases appear, treat the request as advanced GitHub setup. Do not grade or generate a worksheet unless the user also asks for that. Run or suggest prepare_github_deploy_key.py, return only the SSH public key, and include this public guide URL:

https://github.com/linzi007/zhizhi-math-coach-openclaw/blob/main/docs/github-advanced-setup.zh-CN.md

The advanced setup reply must include:

SSH public key copied only from public-key-start to public-key-end;
guide URL above;
GitHub path: Settings -> Deploy keys -> Add deploy key;
permission instruction: enable Allow write access;
next step: after the parent replies 已添加, run check_git_sync.py --workspace . --check-push --write-config --auto-sync --sync-full-learning-data --public-repository-accepted.

If the GitHub owner or repository name is missing and cannot be inferred from origin, ask for both in plain Chinese:

请告诉我你的 GitHub 用户名和个人学习数据仓库名，例如 linzi007 / zhizhi-math-learning-data。

Always treat the current workspace root as the personal learning project root for memory/, weak-points/, mistakes/, records/, curriculum/, knowledge-points/, worksheets/, and site/. The reusable skill repository only provides instructions, scripts, references, templates, and sanitized examples.

If the current workspace appears to be the reusable source repository zhizhi-math-coach-openclaw (for example it contains docs/openclaw-release.md and examples/student-workspace/), warn before writing student learning data. Do not warn merely because a personal workspace has an installed skills/zhizhi-math-coach/ bundle from ClawHub. Only write student data into the source repository when the user explicitly says it is the intended personal learning workspace or the task is skill development with sanitized examples.

Do not assume background sync unless .zhizhi-math-coach/config.json enables it. Local files are changed by the current task only:

grading or diagnosis may write records/, mistakes/, weak-points/, and evidence-backed memory/ updates;
worksheet generation may write worksheets/<date-topic>/worksheet-spec.json, worksheet.html, worksheet.pdf, and answer-key.md;
publishing may write site/ and worksheets/<date-topic>/publish.json.
GitHub Pages setup may write .github/workflows/pages.yml when the parent has chosen a public repository, selected GitHub Actions as the Pages source, and asked OpenClaw to set up publishing.

When publishing, rebuild site/index.html as the full worksheet list from worksheets/, sorted by date descending. Include only public-safe metadata: date, practice status, title, child-facing file links, topic, grade, item count, and completion summary. Infer status from worksheets/status.md when available; do not expose answers or diagnosis details in site/.

PDF is the default worksheet delivery format. After worksheet generation, return or send worksheet.pdf first when it exists. If Chrome/Chromium is unavailable and PDF export was skipped, return the local worksheet.html path and mention that PDF export needs Chrome/Chromium.

GitHub sync and GitHub Pages are advanced cloud features, not required for normal use. If GitHub sync is configured and enabled in .zhizhi-math-coach/config.json, sync generated learning data and worksheet artifacts automatically according to the config flags. If a worksheet is generated and pages.enabled plus pages.auto_publish_worksheets are true, publish to Pages after the PDF is available: run publish_and_wait_pages.py, wait for GitHub Actions deployment to finish, then reply with the PDF path/file, index URL, and worksheet URL. If the Actions run fails or times out, return the PDF/local paths, pushed commit if available, and Actions/setup guidance.

Do not run git add, git commit, or git push unless the parent explicitly asks to sync, publish, push, commit to GitHub, send a public link, or .zhizhi-math-coach/config.json enables automatic sync or automatic Pages publishing. When sync is requested or newly configured, read references/github-sync-authorization.md first and run the bundled preflight before committing or pushing. Do not require GitHub CLI or provider-level token configuration; a repository-scoped SSH deploy key is the preferred setup. If authorization is missing, return the PDF/local file paths and setup guidance instead of treating generation as failed. If the personal repository is public, warn before committing sensitive learning records or answer keys unless the parent has explicitly accepted full public learning-data sync in .zhizhi-math-coach/config.json.

On the first meaningful reply in a personal learning workspace, use references/openclaw-quickstart.md for a short setup check focused on local workspace readiness and PDF delivery. Do not mention GitHub setup during ordinary grading or worksheet generation unless the parent asks for cloud sync, push, public links, Pages, or a publish preflight fails. When needed, explain that OpenClaw can generate a repository-specific public key, send it to the parent through Lark/Feishu when available, and the parent should add it in GitHub repository Settings -> Deploy keys with write access.

Skill resources are relative to {baseDir}:

references/grading-diagnosis-rubric.md: grading and diagnosis fields.
references/progress-tracking.md: record templates and status values.
references/relapse-handling.md: how to handle repeated mistakes after repair.
references/curriculum-alignment.md: textbook, China grade/semester, and copyright-safe curriculum alignment.
references/school-calendar.md: China school-year, semester, exam window, and holiday phase rules.
references/knowledge-point-explanations.md: parent explanation card and student summary rules.
references/worksheet-strategies.md: supported paper-generation strategies and confirmation questions.
references/worksheet-generation.md: low-token worksheet workflow.
references/word-problem-variant-design.md: how to design non-shallow word-problem variants.
references/complex-problem-generation.md: complex word-problem and review safeguards.
references/geometry-generation.md: deterministic SVG geometry rules.
references/automation-openclaw.md: scheduled reminders, channels, and automation boundaries.
references/openclaw-quickstart.md: first-use checklist, common prompts, Pages-ready checklist, and ruleset summary.
references/github-pages-publishing.md: public child-facing PDF/HTML worksheet publishing rules.
references/github-sync-authorization.md: GitHub SSH/token authorization, preflight checks, and sync boundaries.
references/worksheet-standards.md: child-facing printable worksheet rules.
references/student-profile-template.md: starter profile format.
scripts/generate_worksheet.py: generate worksheet HTML, student-facing PDF, and answer key from JSON.
scripts/check_git_sync.py: preflight whether the current machine can reach and push the personal GitHub repository.
scripts/configure_learning_workspace.py: create or update .zhizhi-math-coach/config.json for a personal learning repository.
scripts/prepare_github_deploy_key.py: generate a repository-scoped SSH deploy key and public-key setup instructions for GitHub Deploy keys.
scripts/setup_github_pages_workflow.py: create .github/workflows/pages.yml for publishing site/ through GitHub Actions.
scripts/setup_scheduled_tasks.py: enable automation config and register OpenClaw cron reminder jobs when openclaw cron is available.
scripts/sync_learning_repo.py: pull, commit, and push configured learning-data changes without asking again when automatic sync is enabled.
scripts/init_learning_workspace.py: initialize a personal learning repository after the skill is installed.
scripts/validate_worksheet_spec.py: validate worksheet JSON without writing outputs.
scripts/publish_html_site.py: publish child-facing worksheet HTML/PDF into a GitHub Pages site/ directory.
scripts/publish_and_wait_pages.py: publish site/, commit/push public-safe files, wait for GitHub Actions Pages deployment, and print ready URLs.
assets/worksheet/question-types.json: reusable worksheet item types.
assets/worksheet/a4-single.html: printable HTML template.

Before Grading

Read:

memory/local-memory-rules.md
memory/long-term.md
memory/short-term.md
curriculum/school-calendar.md
curriculum/profile.md
curriculum/progress.md
references/grading-diagnosis-rubric.md
references/progress-tracking.md
references/relapse-handling.md

Then create or update one diagnosis record under records/. Add every wrong or uncertain item to the correct mistake book. Keep school mistakes and system-generated worksheet mistakes separate.

Before Explaining A Knowledge Point

Read the relevant knowledge-points/<topic-slug>.md when it exists. If it does not exist, create the explanation in the same structure and recommend saving it in the user's personal learning project:

Parent explanation script.
Student-facing short version.
Doing tips.
Common errors and quick checks.
Mastery evidence: can explain, can do same-structure items, can do variants, and can still solve after spacing.

Do not use long textbook excerpts. Use textbook scope and terminology, then explain in original words.

Before Creating Practice

Read:

memory/local-memory-rules.md
memory/long-term.md
memory/short-term.md
curriculum/school-calendar.md
curriculum/profile.md
curriculum/scope.md
curriculum/progress.md
The relevant weak-points/*.md
The relevant knowledge-points/*.md
references/worksheet-strategies.md
references/worksheet-standards.md
references/worksheet-generation.md
references/progress-tracking.md

If the parent only says "出一张练习卷", confirm purpose, content range, length, and output format before generating. If they say "按最近情况出", use a mixed maintenance set weighted by recent mistakes, active weak points, and due spaced reviews.

For word problems, also read references/word-problem-variant-design.md and references/complex-problem-generation.md.

For geometry, also read references/geometry-generation.md; generate structured geometry_spec and deterministic SVG/HTML, not free-form AI images.

Prefer the low-token workflow:

python3 {baseDir}/scripts/validate_worksheet_spec.py \
  worksheets/YYYY-MM-DD-topic/worksheet-spec.json

python3 {baseDir}/scripts/generate_worksheet.py \
  worksheets/YYYY-MM-DD-topic/worksheet-spec.json

The generator writes worksheet.html, worksheet.pdf when Chrome/Chromium is available, and answer-key.md. Return or send worksheet.pdf as the primary worksheet artifact.

If the workspace has public Pages mode configured and the parent accepts public worksheet links, publish only the child-facing worksheet HTML/PDF and wait for deployment:

python3 {baseDir}/scripts/publish_and_wait_pages.py \
  worksheets/YYYY-MM-DD-topic \
  --workspace <personal-learning-workspace> \
  --base-url https://<github-user>.github.io/<repo>

If the parent wants a local-only preview or GitHub sync is not ready, publish local site/ files without pushing:

python3 {baseDir}/scripts/publish_html_site.py \
  worksheets/YYYY-MM-DD-topic \
  --workspace <personal-learning-workspace> \
  --base-url https://<github-user>.github.io/<repo>

When Pages auto-publishing succeeds, reply with the PDF path/file, Pages index URL, and worksheet URL. Otherwise reply with file paths, item count, target weak point, and setup guidance for publishing. Do not paste full worksheet HTML or full answer keys unless asked.

Teaching Defaults

Use concise Chinese for parent-facing output.
Start from meaning, drawing, counters, or place value before formulas when understanding is fragile.
Ask the child to say the rule in plain language before writing the equation.
Keep one main diagnostic target per short practice.
If the student can answer correctly but slowly, diagnose fluency separately from understanding.
Do not turn handwriting difficulty into a math test. Prefer circling, ticking, matching, or printed choices for classification.
Use textbooks or curriculum references for scope, but create original targeted practice.
When a parent says a repeated application model is already understood, switch to small mixed variants that test transfer.

China School Calendar Defaults

Default semester rule:

School year starts on September 1 and ends the next August.
September 1 to January 31: first semester.
February 1 to August 31: second semester.
Winter break and summer break are local overrides, not fixed national dates.
Midterm and final windows must be configurable per school.

If school_entry_year: 2025, the date 2026-05-18 is normally 一年级下学期. Still check local overrides and actual school progress before deciding scope.

Mistake Handling

Every wrong or uncertain item should include:

date / school year / grade / semester / term phase / source type / source file / item number / question / student answer / correct answer / error type / likely cause / related knowledge point / related weak point / relapse judgment / re-practice status / follow-up.

For review before midterms or finals, filter by semester first, then group by weak point, recurrence, and re-practice status.

Relapse Handling

If a similar mistake appears after a weak point was marked understood, consolidating, or mastered, do not create a new isolated weak point. Decide whether it is:

relapse: same cause failed again.
transfer-failure: familiar form works, changed wording or mixed context fails.
spaced-forgetting: the prior repair faded after a gap.
one-off-slip: isolated error with nearby evidence of mastery.

Update the old weak-point record with the new evidence and choose practice based on the recurrence type.

Worksheet Strategies

Supported strategies:

wrong_question_variant: turn an existing wrong question into meaningful variants.
weak_point_drill: focus one weak point.
exam_mistake_review: midterm/final review weighted by real mistakes.
relapse_repair: repair relapse, transfer failure, or spaced forgetting.
spaced_review: small due review for old weak points.
transfer_check: changed wording/scenario/condition order.
post_explanation_check: 3 to 6 questions after explanation.
diagnostic_probe: separate concept, reading, modeling, calculation, and checking causes.
mixed_maintenance: current unit plus old weak points plus fluency.
fluency_speed: facts and speed when understanding is already stable.
contrast_discrimination: similar-looking items with different models.
geometry_drill: deterministic geometry items from structured specs.

Automation Boundary

Scheduled OpenClaw tasks should default to reminders and suggestions in the configured local timezone:

Daily 20:30 local time: due practice, pending uploads, stale short-term observations.
Sunday 20:00 local time: weekly progress review and next-week suggestions.
End of semester: summary and holiday review pool.
Winter/summer break: weekly review suggestions.

Do not let scheduled tasks automatically change weak-point status, memory, or generate new worksheets unless the parent explicitly asked for that behavior.

OpenClaw cron is not declared as a skill-install manifest. It is registered by running the bundled setup script after the parent enables scheduled tasks:

python3 {baseDir}/scripts/setup_scheduled_tasks.py \
  --workspace . \
  --enable-config \
  --auto-register \
  --timezone Asia/Shanghai

If openclaw is not available on the current machine, the script prints the openclaw cron add commands for the provider or parent to run later.

Feishu notifications should prefer GitHub Pages worksheet links when configured; keep answer keys and diagnosis records outside published site/ output.

Output Rules

When generating worksheets:

Keep worksheet.html child-facing and answer-free.
Generate and return worksheet.pdf first when available; it is the direct print/share artifact.
Keep answers, grading labels, explanation notes, and reassessment rules in answer-key.md.
Only child-facing worksheet.html and worksheet.pdf may be published to GitHub Pages. Do not publish answer keys, records, memories, weak-point histories, student photos, or textbook files.
Use worksheet-spec.json as the source of truth.
Add new stable item types to assets/worksheet/question-types.json and scripts/generate_worksheet.py.
Include name/date/time/score fields and enough working space.
Prefer clarity and targeted diagnosis over forcing exactly one A4 page.
Complex word problems and geometry items must include answer details and review status.

When grading:

Lead with confirmed mistakes and high-confidence causes.
Separate reading, modeling, calculation, expression, and checking errors.
Use confidence: high / medium / low.
For low-confidence causes, give 1 to 2 quick verification questions.
Group repeated errors by cause and teach the cause once.