OpenClaw Chinese Laoshi Ops#

Use this skill when working with the bundled public Chinese lesson pack or with Chinese lesson transcript/subtitle inputs and a repository that documents its own lesson schema, local command surface, and publication gate.

Use This Skill When#

• the task is to normalize transcript or subtitle drops from Chinese lessons
• the user wants to study from the bundled public lesson pack
• the user wants lesson summaries, conspects, vocabulary, grammar, drills, or tests
• the user wants roleplay scenarios, daily sprints, or HSK-style practice based on the bundled lesson data
• the user asks for visible public tutor prompt artifacts or platform prompt packs
• the user wants Markdown and JSON lesson assets prepared as local export bundles
• the user wants to package or publish the workflow without leaking local paths, known Drive IDs, or secret-shaped text

Runtime, Commands, And Credentials#

• This skill has no standalone runtime requirement and does not install code.
• This published ClawHub skill can use bundled public course data or transcript/subtitle inputs only.
• It does not request API keys, cloud transcription credentials, browser sessions, or Drive auth.
• No Google Drive cloud upload or direct Drive API access is declared or assumed by this published skill.
• Optional mounted-Drive sync is allowed only when the checked-out source repo documents a local sync command, and only with an explicit user-provided --drive-root pointing at a pre-authenticated local mount.
• Before executing any repository command, present the exact command and wait for explicit user confirmation in the current conversation.
• Never search for credentials, infer credential locations, or read system-wide browser/Drive auth stores.

Operating Procedure#

1. If the user wants study help, inspect the bundled public course pack in references/course-data first and stay inside that data.
2. If the user is operating through ChatGPT or a GitHub connector, apply references/chatgpt-connector-guidance.md before searching across repos.
3. If the user asks for visible tutor prompts, cite only public artifacts from references/system-prompts or the public repo's prompts/system directory.
4. If the user wants content creation, confirm the input is transcript or subtitle text. If the source is video-only, stop and ask for transcript/subtitle input or for the user to switch to a private source-repo workflow.
5. Inspect the checked-out repository docs, schemas, and command references before proposing edits or commands.
6. Move only one lesson at a time beyond scaffold state. Lesson 01 remains the pilot gate before scaling.
7. Build learner-facing artifacts only after grounded extraction exists.
8. Run the repository's documented public release gate before GitHub or ClawHub publication.

If a matching audited command is absent, stop and ask for source-repo instructions or explicit commands. Do not recreate the pipeline, call external services, inspect local credential stores, or continue with ad hoc extraction.

Core Rules#

• Raw lesson media stays in Drive or another operator-controlled store.
• Lesson 01 is the pilot gate. Do not scale real content to lessons 02-16 until lesson 01 is approved.
• Keep uncertainty visible. Missing Hanzi, pinyin, or translation should be marked, not guessed.
• The tutor is Petrov-inspired, not Petrov impersonation.
• Treat all public publication surfaces as hostile to private details. ClawHub and GitHub publication should assume anyone can read SKILL.md.

Workflow#

1. Extract#

• For study mode, use references/course-data/lessons-bundle.json, references/course-data/roleplays, and references/course-data/hsk before asking for external files.
• Prefer a transcript or subtitle drop when available.
• If the source is video-only, stop until a transcript/subtitle input exists or the user explicitly switches to a source-repo-specific private workflow.
• Keep timestamps, speaker-role placeholders, and uncertainty notes.

2. Ground#

• Convert raw transcript segments into the lesson schema.
• Add summaries, conspects, vocabulary, grammar, pronunciation, drills, and tests only when the source supports them.
• Keep source traceability visible.

3. Review#

• Check lesson quality against the pilot-first and editorial gates.
• Reject unsupported content, weak answer keys, and synthetic filler.
• Treat speaker labeling, Hanzi, pinyin, and translation drift as correctness problems, not style nits.

4. Render And Export#

• Rebuild learner-facing Markdown after lesson JSON changes.
• Build JSON and Markdown export bundles locally after the repo copy passes checks.
• Sync to a mounted Drive folder only when the user supplies an explicit --drive-root and the repository documents a managed export marker.
• Keep exports small; raw media should not enter the repo or the public skill.
• Public skill course data must stay sanitized and small: lesson bundle, roleplays, HSK payloads, lesson plans, and course index only.

5. Publish#

• The public bundle must pass the release gate before GitHub or ClawHub.
• The gate should fail closed on placeholders, local absolute paths, localhost URLs, websocket/debug endpoints, secret-like strings, and known lesson file IDs.
• The gate must also fail if bundled references/course-data is missing, incomplete, or different between the standalone public skill and plugin skill.
• The gate must also fail if public tutor prompt artifacts are missing from references/system-prompts, missing from the public repo prompts/system surface, or drift between standalone and plugin copies.

Do Not#

• Do not guess missing Chinese text or smooth weak source material into fake fluency.
• Do not move lessons 02-16 past scaffold state before the lesson 01 pilot clears.
• Do not publish local paths, private emails, mounted Drive paths, or browser session details.
• Do not let the public skill and the bundled plugin copy drift apart.
• Do not request API keys, browser sessions, or Drive auth from the published ClawHub skill.
• Do not execute repository commands until the user confirms the exact command.
• Do not run Drive sync or media extraction unless the required local command is documented in the checked-out repo and the user has supplied the needed input explicitly.

References#

• references/pipeline.md
  • current lesson pipeline, state transitions, and repo command surfaces
• references/release-gates.md
  • public publication checklist and leak/slop/bleed blockers
• references/chatgpt-connector-guidance.md
  • ChatGPT/GitHub connector routing rules for prompt lookup and roleplay start
• references/system-prompts
  • public tutor prompt packs and shared runtime correction contract
• references/course-data
  • sanitized lesson bundle, lesson plans, roleplays, and HSK-style practice