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基于Sorftime MCP的深度选品调研。通过LLM Agent执行多维度分析：数据采集→属性标注→交叉分析→竞品VOC→壁垒评估→选品决策评估。交互式执行，输出Markdown报告和Dashboard看板。

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。

Capture a human-approved UI design lesson as a privacy-minimized local StyleSeed candidate, review it, and prepare an opt-in share package without transmitting project code, prompts, screenshots, or brand data. Use when a person asks StyleSeed to remember, learn from, generalize, review, or prepare a reusable rule from an accepted design correction.

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。

Run a structured after-action review (postmortem, retrospective) on a launch, incident, or completed project to capture timeline, root cause analysis, contributing factors, and actionable lessons. Use this skill whenever the user wants to run a postmortem, retrospective, AAR, or after-action review on any past event. Triggers on after-action report, AAR, postmortem, retrospective, retro, post-incident review, what went well what didn't, lessons learned, blameless postmortem, root cause analysis, RCA, five whys. Also triggers when the user has just shipped something or just resolved an incident and wants to capture learnings.

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。

Run upstream brand discovery covering audience research, competitive landscape, category dynamics, problem space, and positioning territory exploration. Use this skill at the very start of a brand or website project when the user needs to understand who they're for, who they compete with, what the audience actually needs, and where the brand could plausibly stand. Triggers on brand discovery, audience research, market research, competitive scan, category research, customer research, who is this for, who are we, positioning research, intake, kickoff. Also triggers when a creative brief is requested but the upstream inputs (audience, competitors, problem space) are not yet clear.

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。

Turning research artifacts into actionable PM insight. Customer interviews, user research notes, support ticket reviews, sales call transcripts, survey data, in-app feedback, all synthesized into the decisions they are meant to inform. The discipline of moving from raw discovery data to clear product direction without losing signal in the synthesis or fabricating insight that was not actually there. Triggers on research synthesis, customer interview synthesis, user research analysis, discovery readout, research insights, sales call analysis, support ticket analysis, qualitative data analysis. Also triggers when a team has done research but cannot turn it into decisions, when synthesis is producing pretty decks but no roadmap movement, or when an upcoming PM decision needs to be grounded in research already conducted.

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。

Capture a hard-won "golden path" from the current session as a reusable Agent Skill, so future sessions start already knowing it. Use it (1) right after non-trivial debugging, after working out a multi-step operational workflow, or after rediscovering project facts you didn't know up front — e.g. how to reach the dev/prod database, where credentials and env vars live, how to deploy, run migrations, or verify a change live; and (2) whenever the user says "remember this", "save this as a skill", "make a skill for this", "don't make me re-explain this next time", or otherwise wants a workflow preserved across sessions. Proactively recognize the moment even when unprompted: if a task took several attempts before it worked, used non-obvious tooling, or is likely to recur, harvest it without asking first. Delegates to a subagent when your tool supports one, or works inline, to extract the proven procedure into a new project-local or global skill.

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。

Iteratively study and apply elegant coding patterns. Each iteration - understand the code, research what simple and elegant code looks like, apply learnings, verify with CI. Use as a standalone refactoring pass or when the user asks to make code more elegant, simple, or idiomatic.

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。

社会情感学习（SEL）专家系统——基于CASEL框架的完整知识体系与实践指南。 涵盖五大核心能力（自我意识/自我管理/社会意识/人际关系/负责任决策）、 课程设计、教学策略、评估工具及全球本土化实践。 触发词：「SEL」「社会情感学习」「情绪教育」「CASEL」「社交技能训练」 适用场景：教育工作者、家长、学校管理者、教育研究者

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。

ClawTeam导演智囊团——基于ClawTeam多智能体框架的世界著名导演协同创作系统。 整合31位全球顶级导演的风格思想，通过多智能体协作机制（顺序链、辩论投票、主席团模式） 辅助剧本创作、影像风格设计和叙事决策。 触发词：「导演智囊团」「ClawTeam」「多导演协作」「剧本创作」「影像风格」 适用场景：编剧、导演、创意策划、影视教育、AI影像创作

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。

AI-powered web search using Perplexity for research queries

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 market research reports for scientific and biotech sectors

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 scientific papers into interactive web presentations

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。

Systematic literature review with search, screening, and synthesis

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。

Deep learning for drug discovery, materials science, and chemistry

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。

AI-powered academic paper search and retrieval

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。

Manage, format, and organize scientific citations and bibliographies

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。

Capture and catalog new ideas from conversations and research

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。

Focused research analysis on a specific topic with sources

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 and summarize recent academic papers from Semantic Scholar

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 agent company packages conforming to the Agent Companies specification (agentcompanies/v1). Use when a user wants to create a new agent company from scratch, build a company around an existing git repo or skills collection, or scaffold a team/department of agents. Triggers on: "create a company", "make me a company", "build a company from this repo", "set up an agent company", "create a team of agents", "hire some agents", or when given a repo URL and asked to turn it into a company. Do NOT use for importing an existing company package (use the CLI import command instead) or for modifying a company that is already running in Paperclip.

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。

Research any topic online and create comprehensive learning guides with RAG-optimized indexes

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。

Write long-form articles synthesized from research and analysis

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。

Search Semantic Scholar for academic papers on a given topic

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。

Structured intelligence dossiers on companies, people, markets, or domains, with source triangulation and fact/inference discipline. Use when preparing a deal-prep dossier, executive briefing, or due-diligence overview.

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。