811건 · 관련도순
Create structured docs from scratch — PRDs, technical specs, design docs, decision records, knowledge bases. Use when drafting documentation, writing proposals, defining requirements, or planning features.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Authoritative reference for submitting tdmcp to the Anthropic Connectors Directory as a Codex Desktop Extension (MCPB). Use whenever drafting, checking, or fixing the submission — it defines the two submission paths, why tdmcp is a Desktop Extension (never a remote connector), every form field, the rejection-causing gates, and the local-only compliance story. Read this before writing any submission deliverable.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Remove AI writing patterns and enforce rigorous technical-prose conventions in Japanese. Derived from hardikpandya/stop-slop + k16shikano japanese-tech-writing. NEVER 33 + 論証と構成の規範 + 用語と register の自然さ + クイックチェック 28 + 5 軸スコアリング + 翻訳調 AI 語の検出を含む。Use when drafting, editing, or reviewing Japanese text to eliminate predictable AI tells and tighten argumentation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Craft a single, high-quality GitHub issue from a developer's description of a bug, unexpected behavior, or desired enhancement. Walks through reproduction, codebase exploration, and structured drafting so the issue is actionable on arrival. Use when user wants to file an issue, report a bug, request a feature, or document a problem they've encountered.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Prepare Korean interview follow-up questions and evidence-backed answer points from resume.md, JD analysis, cover letter text, and an evidence map. Use after HR review or final cover letter drafting when the user wants 면접 준비, 꼬리질문, interview defense, or claim verification before manual submission.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Use when drafting a bug or defect ticket, reviewing one someone else wrote, or deciding whether a reported problem is ready to file. Keeps what the reporter actually saw separate from what the agent later found out, so a reader can tell which lines are testimony and which are collected proof. Trigger phrases: 'file a bug', 'write up this defect', 'triage this report', 'is this ticket ready to file', 'what did the reporter actually see'.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Expert legal advisor specializing in technology law, compliance, and risk mitigation. Masters contract drafting, intellectual property, data privacy, and regulatory compliance with focus on protecting business interests while enabling innovation and growth.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Professional email drafting with appropriate tone and structure. Use when the user wants to write, compose, or draft an email.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Busabase AirApp-first email inbox-zero operator for reviewing unread mail, drafting replies, approving archive/mark-read/send actions, and executing only explicitly approved mailbox changes across configured accounts. Use when the user invokes $kelly-email, asks to process unread email, configure an email account, generate or review an approval batch, execute approved email decisions, or reach inbox zero.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Product-launch command desk (Busabase App-in-Skill) built on the RAMP discipline — Research / Assemble / Mobilize / Prove. The agent assembles the launch checklist and drafts launch assets, channel submissions (Product Hunt / Hacker News / directories), press pitches, and the launch-day runbook; the human approves the launch-readiness gate and steers launch day in a review UI. Use when the user invokes $kelly-launch or /kelly-launch, or mentions launching / shipping a product, a launch checklist or runbook, launch readiness, RAMP, Product Hunt / Show HN / press-kit / launch-email drafting, or wants to review and approve launch assets and channel submissions before they go public. This is launch OPERATIONS — the checklist, assets, submissions, and runbook — not a launch video (for a promo video use product-launch-video).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Legal matter-strategy App-in-Skill (Busabase-backed) desk for new-case strategy, issue trees, evidence checklists, risk analysis, pleading outlines, and approval-gated drafting packs grounded in internal precedents. Use when the user invokes $kelly-legal-matter-strategy, mentions 案件策略, 办案辅助, 证据清单, 争议焦点, 文书生成辅助, litigation strategy, arbitration strategy, pleading outline, or wants a Busabase-backed desk where responsible lawyers review agent-prepared strategy before use.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Outbound email-marketing desk (Busabase App-in-Skill) for building segments, drafting campaigns, newsletters, and sequences, running pre-send deliverability and subject-line QA, and approving every send before it is scheduled. Structured around the SEND discipline — Setup, Engage, Nurture, Deliver — with an email-quality-auditor gate (EQS score + SHIP/FIX/BLOCK verdict). Use when the user invokes $kelly-campaigns or /kelly-campaigns, or mentions email marketing, campaigns, newsletters, drip/welcome/win-back sequences, broadcasts, segments, subject-line A/B tests, deliverability (SPF/DKIM/DMARC/spam score/inbox placement), or wants to review and approve marketing email before it is sent. This is OUTBOUND marketing to a subscriber list, distinct from kelly-email inbox triage (incoming mail). 出站邮件营销：策划分群、起草营销活动 / 新闻邮件 / 邮件序列，发送前做可送达性与主题行质检，人工审批后再排期发送。
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Generates the monthly revenue-accountable marketing report that B2B SaaS marketing leaders deliver to CEOs, CFOs, executive teams, and boards. Use when preparing the monthly CEO report, drafting the marketing section of a board deck, defending budget decisions, diagnosing pipeline gaps, or transitioning marketing from MQL/SQO reporting to revenue, CAC payback, and forward pipeline coverage. Designed for B2B SaaS demand generation leaders who own pipeline targets across segments, geos, and motions, and need to explain marketing's revenue contribution in executive language.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Take a markdown file of raw material and shape it into an article through a conversational session — drafting candidate openings, growing the piece paragraph by paragraph, arguing about format (lists, tables, callouts, quotes) at each step. Use when the user has a pile of notes, fragments, or a rough draft and wants help turning it into something publishable.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Guide users through a structured workflow for co-authoring documentation. Use when user wants to write documentation, proposals, technical specs, decision docs, or similar structured content. This workflow helps users efficiently transfer context, refine content through iteration, and verify the doc works for readers. Trigger when user mentions writing docs, creating proposals, drafting specs, or similar documentation tasks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Author useful, low-noise log alerts on services in a PostHog project. Use when the user asks to set up alerts for their logs, suggest alerts they should add, or evaluate whether a service is worth monitoring. Covers service triage, baseline characterisation, threshold drafting, back-testing via simulate, and shipping with a notification destination.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyze the competitive landscape for an SCF submission. Identifies similar projects on Stellar and other chains, assesses overlap and differentiation. Use when reviewing or drafting an SCF submission and you need to map similar projects on Stellar and other chains and articulate the differentiation.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Design AI email assistants with drafting and triage. TRIGGERS - Use when user needs help with ai-email-assistant related tasks.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Prepare a request to change the terms of a Japanese job offer before accepting it, sorting what the user wants changed (pay components, start date, work style, location, title, probation) by priority, tying each ask to a basis the user can show (the written offer, the job posting, what was said in interviews, their own records), working the timing back from the acceptance deadline, and drafting the message to the employer or recruiting agent. Use when a user has an offer and wants to ask for higher pay, a later start date, more remote days, or other changed terms, or wants to know how to raise it without losing the offer; do not use to predict whether the request will succeed, to set a target figure from market rates, to fabricate a competing offer, to decide whether to accept, or to send anything to the employer.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Assemble a Japanese shokumu-keirekisho (career history document) from an experience inventory, choosing between reverse-chronological, chronological, and skills-based layouts, mapping the target posting's requirements to the experiences that can support them, and drafting the summary, work history, skills, and self-PR so that each sentence stays within what its evidence supports and confidential details are abstracted. Use when a user wants to write or rebuild a whole shokumu-keirekisho for a specific posting or as a general version, or wants to decide which experiences to include and in what order; do not use to invent experience, numbers, titles, or qualifications, to predict whether it will pass screening, to fill in a rirekisho form, or to submit it anywhere.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
End-to-end pipeline for writing ML/AI research papers — from experiment design through analysis, drafting, revision, and submission. Covers NeurIPS, ICML, ICLR, ACL, AAAI, COLM. Integrates automated experiment monitoring, statistical analysis, iterative writing, and citation verification.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
GPT Image 2 image generation workflow for this repo MCP server. Use for gpt-image-2, OpenAI image generation, concept art, UCUF reference exploration, UI icon, badge, card art, prompt drafting, transparent-background asset drafts, and saving generated images to local files under artifacts/ui-source or other workspace paths.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
DALL-E 3 image generation workflow for this repo MCP server. Use for dalle3, DALL-E 3, OpenAI image generation, concept art, UCUF reference exploration, UI icon, badge, card art, prompt drafting, and saving generated images to local files under artifacts/ui-source or other workspace paths.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.