Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Flashcard-based English vocabulary learning with SQLite + SRS. Works with any chat platform when paired with an OpenClaw agent prompt.
Flashcard-based English vocabulary learning with SQLite + SRS. Works with any chat platform when paired with an OpenClaw agent prompt.
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
A portable vocabulary flashcard workflow for OpenClaw. Stores cards in SQLite Supports SRS reviews (0–3 grading, SM-2–like) Uses a deterministic helper CLI (scripts/words.py) to avoid flaky formatting
This skill is platform-agnostic (Slack/Discord/WhatsApp/Telegram/etc.). Your channel-specific agent prompt should decide: message formatting (bullets/headers) quiz flow UX how user answers are parsed A ready-to-copy prompt template lives in: skill/prompt-examples/AGENT_PROMPT_TEMPLATE.md
SQLite DB path is controlled via env var: ENGLISH_LEARN_CARDS_DB (default: ~/clawd/memory/english-learn-cards.db)
Use the helper for all DB operations: python skill/scripts/words.py init python skill/scripts/words.py migrate python skill/scripts/words.py add "implement" ... python skill/scripts/words.py render "implement" --fill-audio python skill/scripts/words.py due python skill/scripts/words.py grade <card_id> <0-3>
Do not commit: your SQLite DB secrets / tokens one-off migration/enrichment scripts Keep local-only scripts outside the repo (see .gitignore).
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.