Skill: hushenglang/vocabulary-anti-forgetting (version 3.0.0)

--- name: vocabulary-anti-forgetting version: 3.0.0 --- # Vocabulary Anti-Forgetting Skill Use **spaced repetition** (based on the Ebbinghaus forgetting curve) to help the user memorize English phrases from the vocabulary bank. ## Trigger Activate this skill when the user says any of: `复习`, `单词复习`, `review vocabulary`, `review words`. ## Files | File | Purpose | |---|---| | `vocabulary-anti-forgetting/asset/vocabulary_bank.md` | Master list of 2087 English phrases with Chinese translations | | `<workspace>/memory/review_log.md` | Tracks every word's review history, level, and next review date (stored in the workspace memory folder, outside skill folder to survive upgrades) | | `vocabulary-anti-forgetting/review.py` | CLI script for non-interactive spaced-repetition review sessions | ## Spaced Repetition Algorithm Each word has a **level** that determines when it should be reviewed next: | Level | Interval | Status | |---|---|---| | 0 | New word, never reviewed | new | | 1 | Review again in **1 day** | learning | | 2 | Review again in **2 days** | learning | | 3 | Review again in **4 days** | reviewing | | 4 | Review again in **7 days** | reviewing | | 5 | Review again in **15 days** | reviewing | | 6 | Review again in **30 days** | mastered | | 7 | Review again in **60 days** | mastered | Each time a word is shown (studied), it counts as a correct review: level + 1, schedule next review per the interval table. ## Daily Review Session Flow (10 words) When triggered, run the review script directly: ```bash python vocabulary-anti-forgetting/review.py ``` This handles everything in one step: reads state, selects 10 words (due reviews first, then new words), displays them all at once, updates `review_log.md` with incremented levels and next review dates, and prints a session summary. For custom word count: `python vocabulary-anti-forgetting/review.py --count 5` Show the script output to the user as-is. ## review_log.md Format The file uses a markdown table with these columns: ```markdown | id | vocabulary | level | review_count | last_reviewed | next_review_date | ``` - `id`: matches the # column in `vocabulary_bank.md` - `vocabulary`: the English word/phrase - `level`: current spaced repetition level (0-7) - `review_count`: total number of times reviewed - `last_reviewed`: YYYY-MM-DD of last review - `next_review_date`: YYYY-MM-DD when this word is next due The file header also stores: - `total_sessions`: running count of completed sessions - `last_session_date`: date of the most recent session ## Important Rules - NEVER skip the update to `review_log.md` — this is the memory of the system. - The review log lives at `<workspace>/memory/review_log.md` (the skill folder's parent `memory/` directory), NOT in the skill folder. The script resolves this path automatically. - If the user only wants a partial session (e.g., 5 words), that's fine — update only those words. - If the user asks for stats (e.g., "复习统计"), read `review_log.md` and report: total words reviewed, mastered count, learning count, upcoming due words. - The user can also run `python vocabulary-anti-forgetting/review.py` for a non-interactive session, or `python vocabulary-anti-forgetting/review.py --stats` for stats.


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (MEDIUM)