2,318 件 ・ 関連度順
概要と使いどころ
This skill should be used when the user asks to "calculate TAM", "determine SAM", "estimate SOM", "size the market", "calculate market opportunity", "what's the total addressable market", or requests market sizing analysis for a startup or business opportunity.
日本語の概要は準備中です。原文の説明を表示しています。
Gestaltet AGB für Fahrradreparaturen und vergleichbare Werkleistungen: Diagnose, Kostenrahmen, Zusatzfreigabe, Abnahme, Abholung und Mängel. Unterscheidet Terminreservierung und verbindlichen Fernabsatzauftrag.
日本語の概要は準備中です。原文の説明を表示しています。
Read-only proofreading pass over lecture `.tex` or `.qmd` files. Checks grammar, typos, overflow, terminology consistency, and academic writing quality; produces a report without editing. Use when user says "proofread", "check for typos", "look for grammar issues", "copy-edit this", "any writing errors?", or before a lecture release.
日本語の概要は準備中です。原文の説明を表示しています。
Produce a polished local talking-head or narrated screen-recording rough cut without a cloud editor. Use when Codex must clean Chinese or mixed Chinese-English speech, correct product terminology before semantic editing, compress pauses without making speech breathless, preserve source resolution and frame rate, normalize dialogue loudness, generate final-audio subtitle artifacts, or benchmark local output against ChatCut/video-use/chengfeng/AI剪口播.
日本語の概要は準備中です。原文の説明を表示しています。
Create deterministic editorial-style cover images with a warm paper-gray background, oversized black slab-serif/Chinese display typography, generous whitespace, and a dotted vector analysis icon. Use when the user asks for a “点阵编辑风封面”, “暖灰杂志风封面”, “Codex + Hyperframes 同款封面”, or wants to reproduce/adapt the specific minimal left-text/right-icon banner style. Produce editable SVG and a rendered PNG; do not use this skill for generic covers without this visual direction.
日本語の概要は準備中です。原文の説明を表示しています。
Identify recurring cross-table historic-SQL analytical intents from a bounded pattern shard and emit typed pattern evidence for deterministic wiki projection.
日本語の概要は準備中です。原文の説明を表示しています。
Convert one changed historic-SQL table usage bucket into typed table usage evidence for deterministic _schema projection.
日本語の概要は準備中です。原文の説明を表示しています。
Use when packaging an Agentlas agent repo for public GitHub release, Codex plugin submission, Claude adapter distribution, or one-line terminal installation.
日本語の概要は準備中です。原文の説明を表示しています。
Use when packaging this meta-agent for public Codex plugin registration, Claude Code installation, GitHub release, one-line terminal install, or open-source distribution.
日本語の概要は準備中です。原文の説明を表示しています。
Turn the current interactive conversation into an owner-reviewed reusable Agentlas agent; accept JSON or JSONL only for explicit terminal and automation runs.
日本語の概要は準備中です。原文の説明を表示しています。
Start and control Minutes Coach, the separate real-time copilot HUD, with an explicit meeting goal. Use only for explicit Coach or HUD lifecycle requests such as "start Minutes Coach", "open the Coach HUD", "pause Minutes Coach", "resume Minutes Coach", "Minutes Coach status", or "stop Minutes Coach". Do not use for requests that explicitly ask the current terminal agent to watch or strategize; those belong to minutes-live-sidekick. An ambiguous request such as "coach me live" requires one short surface clarification and must not automatically start Coach.
日本語の概要は準備中です。原文の説明を表示しています。
Generate game content procedurally — seeded deterministic RNG, value/Perlin/ Simplex noise for terrain and heightmaps, grid dungeon generation (rooms + corridors, BSP, random walk), and weighted loot/drop tables. Engine-neutral algorithms. Use when the user mentions procedural generation, perlin/simplex noise, random seed, dungeon generator, heightmap/terrain, or loot tables.
日本語の概要は準備中です。原文の説明を表示しています。
Calibrate an LLM judge against human labels using data splits, TPR/TNR, and bias correction. Use after writing a judge prompt (write-judge-prompt) when you need to verify alignment before trusting its outputs. Do NOT use for code-based evaluators (those are deterministic; test with unit tests per `write-code-eval`).
日本語の概要は準備中です。原文の説明を表示しています。
Sets up and maintains isolated Claude Code CLI profiles to run Kimi, MiniMax, DeepSeek, GLM, StepFun or Anthropic in separate terminal windows. Use for multi-provider setup, switching models, csk/csd/csg aliases, CLAUDE_CONFIG_DIR, or ~/.claude-profiles. Owns profile-drift troubleshooting (missing skills/hooks, symlink drift, settings drift) and context-window setup ([1m] marker vs CLAUDE_CODE_MAX_CONTEXT_TOKENS).
日本語の概要は準備中です。原文の説明を表示しています。
Snapshots, restores and reconciles Claude Code / Codex sessions inside Ghostty tabs across reboots. Use when quitting the Mac for an update (保存终端会话 / 重启前备份终端), after restart to reopen tabs with their original session IDs (恢复之前的窗口 / restore my ghostty tabs), or to audit which sessions survived. Not for resuming one conversation via its own --resume, terminal screenshots, or tmux state. Also use for periodic change-only snapshots (定期增量快照 / 没变化不记录). Also use before or after a manual Codex account switch (额度耗尽换号 / 换号后恢复全部 Codex).
日本語の概要は準備中です。原文の説明を表示しています。
Scan a contract you're about to sign in plain language — surface the clauses that could bite you, what they mean, and what to question or renegotiate. Use when asked to check this contract before I sign, what am I agreeing to, are there red flags in this agreement, or explain this contract's risky bits. Produces a plain-English flag list of the risky/unusual clauses (auto-renewal, lock-in, liability, IP, termination, fees), what each means for you, questions to ask, and suggested changes — flagging when it's important enough for a lawyer. Not legal advice.
日本語の概要は準備中です。原文の説明を表示しています。
Compress tool outputs, logs, and JSON before they enter the context window — structural compression via a deterministic stdlib script (schema + samples + stats instead of 300 raw rows), no API, no summarization loss. Use when asked shrink this tool output, my context is full of JSON, compress these logs before analysis, or stop wasting tokens on raw data. Produces the crushed artifact with its token math shown, the crush-or-keep decision rules, and the fetch-the-original escape hatch.
日本語の概要は準備中です。原文の説明を表示しています。
Create a content style guide / voice & tone guide so everyone writes consistently. Use when asked to write a content style guide, a voice and tone guide, editorial guidelines, or UX-writing standards. Produces a usable guide — voice principles with do/don't examples, tone-by-context, mechanics (grammar, capitalisation, formatting), terminology/word list, and accessibility/inclusivity rules — that a team can actually apply.
日本語の概要は準備中です。原文の説明を表示しています。
Decode a mainland China labour contract (劳动合同) before signing: probation, pay and its structure, working hours, social insurance, non-compete and confidentiality, termination terms and anything that conflicts with the Labour Contract Law. Use when asked 帮我看看劳动合同, 劳动合同有什么坑, 试用期合法吗, 竞业限制条款, or review my Chinese employment contract. Produces a clause-by-clause decode with red, amber and green flags, the statutory limits each clause must respect, the questions to ask HR, and suggested wording for changes. Not legal advice.
日本語の概要は準備中です。原文の説明を表示しています。
Use when asked 参考文献格式怎么写, 按 GB/T 7714 排参考文献, 帮我改参考文献格式, 顺序编码制还是著者-出版年制, 文献类型标识 J M D 是什么, or format references to the Chinese national standard. Produces references formatted to GB/T 7714 in the numeric (顺序编码制) or author-year (著者-出版年制) system, with the right document type codes, a check of each entry, and a deterministic formatter script for long lists.
日本語の概要は準備中です。原文の説明を表示しています。
Hire an AI agent the way you'd hire an employee — a role spec with success criteria, a structured work-sample interview run on your real tasks, reference checks (what do actual users report), probation KPIs, and termination criteria written before day one. Use when choosing between AI agents/tools/copilots for a job, formalizing an AI pilot, or 'which agent should we use for X'. Produces the role spec, interview pack with scoring rubric, a decision record, and a probation plan.
日本語の概要は準備中です。原文の説明を表示しています。
Help users determine when to hire growth talent, which profiles to prioritize, and how to structure the team for maximum leverage across the user journey.
日本語の概要は準備中です。原文の説明を表示しています。
Help users decide where to apply AI effectively, manage the transition from deterministic to probabilistic software, and build long-term defensibility through verticalization and proprietary data.
日本語の概要は準備中です。原文の説明を表示しています。
Use this skill when the user wants to build a financial model — 3-statement model, DCF valuation, LBO, SaaS unit economics, sensitivity / scenario analysis, debt schedule, or fundraising projections — in Excel. Trigger on: 'financial model', '3-statement model', 'P&L + BS + CF', 'DCF', 'WACC', 'NPV', 'terminal value', 'LBO', 'debt schedule', 'cash sweep', 'MOIC', 'IRR / XIRR', 'sensitivity table', 'scenario analysis', 'ARR model', 'unit economics', 'CAC / LTV', 'cap table forecast'. Output is a single formula-driven .xlsx. This skill is a scene layer on top of officecli-xlsx — it inherits every xlsx v2 rule (4-color code, visual floor, number formats, cache-drift, Known Issues, Delivery Gate minimum cycle). DO NOT invoke for a simple budget tracker, CSV dump, or operational KPI sheet — route those to officecli-xlsx base.
日本語の概要は準備中です。原文の説明を表示しています。