When the user wants to create or optimize in-app paywalls, upgrade screens, upsell modals, or feature gates. Also use when the user mentions "paywall," "upgrade screen," "upgrade modal," "upsell," "feature gate," "convert free to paid," "freemium conversion," "trial expiration screen," "limit reached screen," "plan upgrade prompt," "in-app pricing," "free users won't upgrade," "trial to paid conversion," or "how do I get users to pay." Use this for any in-product moment where you're asking users to upgrade. Distinct from public pricing pages (see cro) — this focuses on in-product upgrade moments where the user has already experienced value. For pricing decisions, see pricing.
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。
coreyhaines31/marketingskills☆ 5.5万2026年10月14日 更新
When the user wants help with pricing decisions, packaging, or monetization strategy. Also use when the user mentions 'pricing,' 'pricing tiers,' 'freemium,' 'free trial,' 'packaging,' 'price increase,' 'value metric,' 'Van Westendorp,' 'willingness to pay,' 'monetization,' 'how much should I charge,' 'my pricing is wrong,' 'pricing page,' 'annual vs monthly,' 'per seat pricing,' 'should I offer a free plan,' 'pricing page teardown,' 'pricing page audit,' 'is my pricing page AI-readable,' or 'can AI read my pricing.' Use this whenever someone is figuring out what to charge, how to structure their plans, or wants to audit a pricing page (for humans and for the AI agents that shortlist tools). For in-app upgrade screens, see paywalls. For offer construction (bonuses, guarantees, value framing, naming) on services/courses/coaching/high-ticket B2B, see offers.
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。
coreyhaines31/marketingskills☆ 5.5万2026年10月14日 更新
Work out and record the architecture decisions that keep separately built parts of a system consistent, in a short architecture document. Creates, updates, or validates one; works from a spec, a raw idea, or an existing codebase. Use when the user says "create the architecture", "create technical architecture", "architecture spine", or "create a solution design"
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。
bmad-code-org/BMAD-METHOD☆ 5.4万2026年10月13日 更新
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
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。
anthropics/claude-cookbooks☆ 5.3万2026年10月10日 更新
Answer questions about history, habits and past decisions by reasoning over Hindsight memory. Use when asked what was decided about something, how something is usually done, what changed over time, or what is known about a 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。
vectorize-io/hindsight☆ 4.9万2026年10月13日 更新
Load relevant long-term memory from Hindsight before starting work. Use at the start of every task or request, before planning or answering, and whenever the user mentions people, projects, decisions, preferences or anything done before.
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。
vectorize-io/hindsight☆ 4.9万2026年10月13日 更新
Formats and structurally validates local treatment-plan documentation after clinical decisions have already been supplied and verified by authorized licensed professionals. Use for source traceability, clinician-authored intervention records, goals and checkpoints, shared-decision records, reconciliation handoffs, and release gates—not for clinical decision-making.
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。
K-Dense-AI/scientific-agent-skills☆ 4.9万2026年10月12日 更新
Supports structured what-if scenario analysis for research planning, experimental contingencies, and scientific project decisions. Explores favorable, reference, adverse, wild-card, contrarian, and second-order scenarios with explicit assumptions, evidence, and decision triggers. Use to stress-test a research plan under uncertainty; scenario narratives do not estimate causal effects or calibrated forecast probabilities.
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。
K-Dense-AI/scientific-agent-skills☆ 4.9万2026年10月12日 更新
Provides qualitative-first, evidence-traceable developmental review of scholarly works and audit low-stakes research-assessment rubrics with optional local quality controls. Never use for ranking people or consequential decisions.
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。
K-Dense-AI/scientific-agent-skills☆ 4.9万2026年10月12日 更新
Prepares and structurally reviews readiness evidence for ISO management-system and laboratory-competence standards - ISO 13485 medical device QMS, ISO 14971 device risk management, ISO/IEC 17025 testing and calibration laboratories, and ISO 15189 medical laboratories. Use when organizing declared scope, controlled documents, risk-management files, scope of accreditation, traceability, CAPA, external-provider controls, or bounded local evidence manifests, and when separating ISO certification from laboratory accreditation, FDA QMSR inspection, CLIA certification, MDSAP, and EU MDR/IVDR evidence boundaries. Not for legal applicability, compliance, certification, or accreditation decisions; contains no clause text.
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。
K-Dense-AI/scientific-agent-skills☆ 4.9万2026年10月12日 更新
Structures a multi-perspective council exercise for decisions, research trade-offs, and creative challenges. Simulates thinking archetypes, separates evidence from assumptions and values, and synthesizes a conditional recommendation. Use when the user requests a council, panel, devil's advocate analysis, "mind council", or deliberate comparison of perspectives on a difficult choice.
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。
K-Dense-AI/scientific-agent-skills☆ 4.9万2026年10月12日 更新
Comprehensive patterns for creating, maintaining, and managing Architecture Decision Records (ADRs) that capture the context and rationale behind significant technical decisions.
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。
sickn33/agentic-awesome-skills☆ 4.8万2026年10月14日 更新
Architectural decision-making framework. Requirements analysis, trade-off evaluation, ADR documentation. Use when making architecture decisions or analyzing system design.
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。
sickn33/agentic-awesome-skills☆ 4.8万2026年10月14日 更新
A hybrid memory system that provides persistent, searchable knowledge management for AI agents (Architecture, Patterns, Decisions).
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。
sickn33/agentic-awesome-skills☆ 4.8万2026年10月14日 更新
Rules for when an agent should recall from long-term memory before acting and when it should save decisions, corrections and failures afterwards. Works with any memory backend.
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。
sickn33/agentic-awesome-skills☆ 4.8万2026年10月14日 更新
Draft Apache Airflow commit messages, PR titles and descriptions, or GitHub comments and reviews. Also use for release-note decisions when preparing a contribution.
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。
apache/airflow☆ 4.7万2026年10月13日 更新
Use when a project keeps its state in Superself (a `<!-- superself:begin` block in AGENTS.md or CLAUDE.md, or `self setup` resolves the directory to a registered project): read `self context` at session start, attach work to a work unit, report with evidence, and record confirmed decisions so the next session picks up where this one left off.
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。
wshobson/agents☆ 4.1万2026年10月12日 更新
Write and maintain Architecture Decision Records (ADRs) following best practices for technical decision documentation. Use when documenting significant technical decisions, reviewing past architectural choices, or establishing decision processes.
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。
wshobson/agents☆ 4.1万2026年10月12日 更新
Build and scale partner ecosystems that drive revenue and platform adoption. Use when building partner programs from scratch, tiering partnerships, managing co-marketing, making build-vs-partner decisions, or structuring crawl-walk-run partner deployment.
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。
github/awesome-copilot☆ 4万2026年10月14日 更新
Generate concise, actionable meeting minutes for internal meetings. Includes metadata, attendees, agenda, decisions, action items (owner + due date), and follow-up steps.
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。
github/awesome-copilot☆ 4万2026年10月14日 更新
Authors a Dynamics 365 Finance and Supply Chain Management Solution Blueprint from scratch through a structured, section-by-section architect interview, establishing scope, target operating model, application and data architecture, integration landscape, migration strategy, security model, ALM, testing, deployment, and support approach, with a decision log capturing rationale and rejected alternatives. Use when the user wants to create D365 implementation architecture documentation, start a D365 implementation, design the architecture, prepare a Solution Blueprint, or identify the architectural decisions the programme must make. Do not use for critique of an existing design; that is a review task rather than blueprint authoring.
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。
github/awesome-copilot☆ 4万2026年10月14日 更新
Create time-boxed technical spike documents for researching and resolving critical development decisions before implementation.
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。
github/awesome-copilot☆ 4万2026年10月14日 更新
Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
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。
github/awesome-copilot☆ 4万2026年10月14日 更新
Reorient in the current Claude Code session with an evidence-backed map of its goal, pivots, outcomes, current step, and open decisions.
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。
Yeachan-Heo/oh-my-claudecode☆ 4万2026年10月13日 更新