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Remove words/terms from your vocab list. Comma-separated for several at once. Usage: /drop <word>[, <word2>, ...]
Install with Codex or Claude Copy this prompt, paste it into Codex, Claude, or another assistant, and let it review the skill page and install it for you.
Based on SOC occupation classification
| 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.
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]
