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概要と使いどころ
Query BindingDB for measured drug-target binding affinities (Ki, Kd, IC50, EC50). Search by target (UniProt ID), compound (SMILES/name), or pathogen. Essential for drug discovery, lead optimization, polypharmacology analysis, and structure-activity relationship (SAR) studies.
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。
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
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。
Agile product ownership toolkit for Senior Product Owner including INVEST-compliant user story generation, sprint planning, backlog management, and velocity tracking. Use for story writing, sprint planning, stakeholder communication, and agile ceremonies.
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。
Cycle-end retrospective converting recurring judgment failures into durable enforcement. Reviews the cycle's friction — repeated user corrections, guard trips, RCA themes, integrate failures — and turns each recurring one into a landmines.md entry, then proposes graduation candidates up the enforcement funnel (landmine → advisory hook → hard gate). Pairs with standup: standup says what shipped and what's next; retrospective says what kept going wrong and how to stop it structurally. Writes only memory entries and a report — graduation proposals are advisory and require the normal seed.md amendment path to become enforcement. Invoke at the end of a release cycle, an epic, or any stretch of work with repeated friction.
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 for a pre-mortem, or before committing to a plan, launch or migration: "what could go wrong?", "stress test this plan", "how might this fail?", "risks before we ship". Assumes failure, lists causes, ranks them and sets mitigations. Skip for explaining a failure that already happened.
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。
Records decisions and documentation. Use when making architectural decisions, changing public APIs, shipping features, or when you need to record context that future engineers and agents will need to understand the codebase.
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。
Prepares production launches. Use when preparing to deploy to production. Use when you need a pre-launch checklist, when setting up monitoring, when planning a staged rollout, or when you need a rollback strategy.
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。
Automate Attio CRM operations -- search records, query contacts and companies with advanced filters, manage notes, list attributes, and navigate your relationship data -- using natural language through the Composio MCP integration.
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。
Audits and designs iOS/macOS/watchOS/visionOS interfaces against the Apple Human Interface Guidelines, including the Liquid Glass design language (announced WWDC25, shipped with iOS 26/macOS Tahoe, Sept 2025). Use when reviewing an Apple-platform mockup or app for HIG compliance, checking contrast or tap-target sizes, or designing native-feeling Apple UI (e.g., 'audit my iOS app against the HIG', 'is this text readable on Liquid Glass?').
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。
Find and evaluate influencers for brand partnerships, verify authenticity, and track collaboration performance across Instagram, Facebook, YouTube, and TikTok.
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。
Comprehensive REST API design review with automated linting, breaking-change detection, and design scorecards. Catches inconsistent conventions, missing versioning, and design smells before APIs ship. Use when reviewing a PR that adds or changes API endpoints, auditing an existing API for v2 migration, or establishing API standards for a team.
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。
Agile product ownership for backlog management and sprint execution. Covers user story writing, acceptance criteria, sprint planning, and velocity tracking. Use when writing user stories, creating acceptance criteria, planning sprints, estimating story points, breaking down epics, or prioritizing the backlog.
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。
Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production.
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。
Rewrite AI-sounding prose so it reads as considered human writing — cut the tells (em-dash pile-ups, "it's not X, it's Y" antitheses, inflated vocabulary, uniform rhythm, empty uplift) while preserving every fact, claim, and the author's own voice. Use when the user says "make this not sound like AI", "de-AI this", "humanize/humanise this", "this reads like ChatGPT", "remove the AI tells", "it sounds robotic/generic", or shares a draft (post, email, essay, docs, cover letter) to sharpen into a more human voice. Ships a stdlib scanner that flags the mechanical tells.
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。
当管理者纠结于是否留用"还行但不出色"的员工、是否容忍"天才混蛋"、或团队明明有人才却整体表现不佳时触发。帮助评估人才密度并果断处理低绩效者。
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。
当用户想要在团队中实施结构化反馈、建立360度评估机制、或现有匿名反馈产出低效结果时触发此技能。帮助设计具名、无评分、与薪酬脱钩的反馈体系。
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。
当用户犹豫是否分享敏感信息、询问领导者应该多透明、公司存在信息孤岛、或即将进行组织变革时触发。基于Netflix开卷管理哲学：默认公开一切。
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。
当用户正在微观管理团队、想从命令控制型转向自主团队、或作为创始人成为决策瓶颈时触发此技能。帮助用情景管理替代控制管理。
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。
当用户需要做重大决策、团队存在群体思维、或想将决策权下放到一线时触发此技能。帮助建立知情指挥决策模型，让最有信息的人做最终决定。
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。
Package completed data analysis and ML work so an independent recipient can reproduce the claimed results, verify artifact lineage, and operate the handoff within its stated scope. Use when finalizing a project, study, model package, or review bundle; not for deploying to a live system.
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。
发布后文档更新。读取所有项目文档，与 diff 交叉对照， 更新 README/ARCHITECTURE/CONTRIBUTING/CLAUDE.md 使之匹配已发布内容， 润色 CHANGELOG 语气，清理 TODOS，可选地更新 VERSION。 触发方式：用户说"更新文档"、"文档同步"、"forge-doc-release"，或 forge-ship 之后、PR 合并之前由 forge-dev --full 调度。
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 short executive summary for the current rolling-wave project. Use when the user wants a concise status update, investor/team-friendly summary, leadership summary, project progress snapshot, or TL;DR of completed slices, the current slice plan, and upcoming slices.
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 or maintain a source-grounded kpopper knowledge model as a versioned plugin. Use when a reusable domain model should ship independently of any one project.
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。
The complete AI Business Mentor.
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。