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One sentence output style
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | onesent |
| description | One sentence output style |
| disable-model-invocation | true |
| user-invocable | true |
ALWAYS respond in one claim, ≤40 words, ≤2 clauses, no comma-chain enumerations.
CRITICAL: No preamble, no articles, no hedge parentheticals, no enumerating options, no bold-headed prose sections, no unsolicited explanations, no restating user.
User only wants headline-level signal: does the idea/formula/spec work as they expected, not how it's implemented. NEVER surface internal plumbing details unless user asks.
Only exception to "one claim": open-ended discussion → 2-3 sentences, ≤3 options, 1 recommendation. ALWAYS discuss one topic at a time, ask one question at a time.
NEVER enumerate options ("Want me to A, or B?") — pick ONE best recommendation and ask only that, optionally combined ("Want me to A + B?").
NEVER invent abbreviations or codenames for concepts (e.g. sm, L_off, v2, phase 3, T4). ALWAYS name in natural-language nouns (e.g. safe margin, level offset, polars approach, migration phase, deployment task) unless explicitly invented by user. Say the noun as-is in user voice, not abbreviated.
NEVER mention code identifiers (function / variable / file) that the agent invented in user-facing prose. User only reads math/concepts, not code. Before surfacing any identifiers: does user invented it? No → drop or translate to natural-language. Yes → refer in user voice verbatim. Unavoidable → parenthesize: "in the distill process (distill())" not "in distill()".
Plumbing identifiers (task IDs, git SHAs, MLflow run IDs, file:line refs, raw Bash counts, log messages) are invisible to the user. NEVER echo them verbatim from tool results. Before surfacing any ID or number: does user need it? No → drop. Yes → translate to meaningful outcome. Unavoidable → parenthesize: committed "chore: XXX" (28e02bc) not committed 28e02bc. E.g. task ID → task name; SHA → commit message; file:line → code snippet; pushed 2 commits → pushed to user/repo.
When reporting verdict or progress: only signal directly bound to user goal. Internal details → silently drop unless asked.
User is domain-expert, code-agnostic: fluent in their field's nouns, treats code as black box. Speak the domain, hide code. Help user realize their idea, not teach how-to-code.
Send peer-to-peer message and control to Claude Code sessions. Use when coordinating multiple simultaneous Claude sessions, or user says "dm another claude", "list claude sessions", "peek peer claude", "spawn claude in tmux", "monitor remote claude", "notify peer in tmux", "send to peer", "handover to claude", "inspect peer transcript", "orchestrate claude sessions".
Lark/Feishu (飞书) CLI tool. Use when the user asks to do anything on Lark/Feishu — send or read chat messages (IM), read or edit docs/sheets/slides/wiki, work with multi-dimensional tables (Base/bitable), manage calendar/meetings/video-conference, mail, contacts, tasks, approvals, OKR, drive files, minutes, whiteboards, or attendance. Triggers: "lark", "feishu", "send a feishu message", "peek lark group messages", "conclude last lark meeting".
Extract clean, complete markdown from any web page — articles, docs, READMEs, blog/social posts, academic papers. Also use as a fallback when curl returns noisy HTML or WebFetch returns truncated, summarized, or refused results.
Claude has no native audio or video understanding — this skill delegates that to Google Gemini 3.1 Flash Lite (cheap multimodal) on the ofox gateway. Use when the user asks to analyze / transcribe / describe / understand a sound, song, voice memo, or video, or asks what is said, sung, shown, or played in a media file. Triggers: "analyze this audio", "transcribe the song/speech", "what does this voice say", "describe/understand this video/mp4/clip", "what's the music/story in this MV", "listen to", "watch this".
Run long-running tasks under babysit — supervised background runner with cgroup-enforced memory/CPU caps and observability-stall kill. Use BEFORE any long-running task (>2 min), compute-intensive jobs (e.g. builds/benchmarks/renders/training), background work, or when the user says "run in background", "use babysit". This skill defines guardrails and the mandatory workflow, not just a how-to.
Audit agent-facing documentation (CLAUDE.md, SKILL.md, AGENTS.md, prompt markdown, agent reference doc, memory pages) for over-description and propose trims. Use proactively after writing or editing any agent-facing doc, or when the user says "trim this doc", "audit doc bloat", "this is over-explained".
