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Remove words/terms from your vocab list. Comma-separated for several at once. Usage: /drop <word>[, <word2>, ...]
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Dev: check a target (spec / plan / working diff / code) for architectural drift from the rulebook docs/ARCHITECTURE.md — report qualitative deviations citing rule ids, and triage new ones into docs/Debt.md. Usage: /drift <target>
Push enriched vocab to Anki Desktop as flashcards and pull review progress back. Usage: /anki-sync
Add words/terms you're learning, enriched (translation, alternative translations, examples, synonyms, definition) into your native/learning languages. Comma-separated for several at once. Usage: /loot <word>[, <word2>, ...]
Review your buffered writing into per-category frequency docs (grammar / rephrasings / idioms / verbs). Usage: /debrief
Use whenever you read, query, or mutate shadowling's sqlite database (shadowling.db) — any SELECT/INSERT/UPDATE/DELETE, ad-hoc SQL, dropping/clearing/resetting rows, inspecting data, or checking a migration's result. All DB access goes through a skill entrypoint, a repository method (`models/*`), or `sql.py` — never raw sqlite3. Schema/data-layer changes are NOT made here — they go through an appended migration in appdb.py; this skill only documents that rule and verifies the outcome.
Explain an expression in the language you're learning that you can't read literally — get a verdict (memorize vs learnable rule) + how to read it, saved to the decode dataset. Usage: /aha <phrase> [+ your hunch]
| name | drop |
| description | Remove words/terms from your vocab list. Comma-separated for several at once. Usage: /drop <word>[, <word2>, ...] |
| context | fork |
| agent | claude |
| model | haiku |
| allowed-tools | Bash(python3 */drop.py*) |
Remove the given terms from the vocab store.
This skill's entrypoint is ${CLAUDE_SKILL_DIR}/drop.py (in this skill dir);
invoke it directly so the command starts with python3 (e.g.
python3 "${CLAUDE_SKILL_DIR}/drop.py" remove ...).
Terms (comma-separated): $ARGUMENTS
Split $ARGUMENTS on commas, trim each, drop empties, then one call:
python3 "${CLAUDE_SKILL_DIR}/drop.py" remove "<term1>" "<term2>" .... Report what was removed
and what was not found.
Do NOT gloss anything in your reply.
