Use when embedding, configuring, styling, or debugging Runtype Persona chat widgets, fullscreen AI assistant layouts, chat surfaces, client tokens, theme tokens, artifacts,…
Discovers your full tool environment and amplifies prompts with capability awareness. Suggests optimal tool compositions as non-binding options.
Use when building, designing, validating, or deploying Runtype AI products with agents, flows, tools, surfaces, records, secrets, schedules, evals, orchestration, webhooks,…
Codex-native supplier sourcing and outreach workflow for Alibaba using LaunchFast research. Use when the user wants supplier shortlists, outreach messages, reply triage, or…
Codex-native multi-keyword Amazon opportunity scan using LaunchFast MCP. Use when the user wants to research 1-10 keywords, compare niches, or decide whether a product idea is a…
Runtype umbrella skill for onboarding and routing. Use when the user mentions Runtype, asks what Runtype can build, needs MCP/CLI/dashboard setup, or wants to scope an AI product…
Use when working with the Runtype TypeScript or Python SDK, FlowBuilder, BatchBuilder, EvalBuilder, CLI commands, Marathon long-running agent tasks, playbooks, model fallback,…
Use when creating, validating, exporting, importing, or improving Runtype Full Product Object templates.
Use when user wants to create tests, generate test coverage, audit test quality, find untested code, or improve weak assertions.
End-to-end Codex-native Amazon FBA research workflow using LaunchFast MCP. Use when the user wants a single report covering product research, IP risk, supplier sourcing, and PPC…
Use when operating a live Runtype account through MCP or Code Mode MCP: inspect resources, debug failed flows or agents, read logs and traces, manage products, surfaces, records,…
Apply contrast and spacing for legibility — calibrating color contrast between text and background, character tracking, and line leading so a chosen typeface and size actually…
Run a configurable multi-LLM council with personas, budget caps, synthesis, veto gates, and optional implementation handoff.
Create new GitHub repositories with low-friction defaults. Use when the user invokes /gh-project or $gh-project, asks to create a new GitHub project, asks to create a GitHub…
Analyse a learning task for cognitive load problems and recommend specific design improvements. Use when tasks overwhelm students, instructions feel complex, or materials need…
Classify curriculum content into Know, Understand, and Do categories to align teaching and assessment approaches.
Behavioral guardrails for Cavekit agents. Four principles — think before coding, simplicity first, surgical changes, goal-driven execution — that prevent over-engineering, silent…
Compares two or more band-tagged frameworks and produces a framework-neutral topic matrix showing coverage and gaps across all inputs, plus an optional reference-centric PLC…
Craft better prompts using proven optimization techniques — use when your prompt needs refinement
AI Agent 架构模式目录。提供 ReAct、Multi-Agent Conversation、Multi-Agent Workflow、 RAG Agent、Tool-Use Agent、Autonomous Agent 六种核心模式的参考架构、组件拓扑、 数据流、设计决策和框架无关的最佳实践。供 agent-dev-workshop Phase 2…
Design an inquiry sequence anchored in a local ecosystem that embeds science or geography curriculum content.
ADK 框架适配层。为 LangChain / EINO / AutoGen / AgentScope / CrewAI 提供框架特定的 代码模板、惯用模式、API 映射和项目结构，供 agent-dev-workshop Phase 5 代码生成使用。 每个框架 reference 文件标注 verified_date 用于版本锁定。
Recognize when closure is the wrong choice — when the perceptual completion work it asks of the user is too costly, ambiguous, or risky.
How to handle code review feedback — verify before implementing, push back when wrong, never agree blindly
Design a single-point rubric with one criterion and open columns for evidence. Use for student self-assessment, peer feedback, teacher formative feedback, or pre-task planning.
Design a learning sequence teaching prompt quality — comparing vague vs. refined prompts to show why specificity and context transform AI output.
交互式 AI Agent 开发工作坊：通过 6 阶段深度协作对话，引导用户完成 Agent 需求分析、架构设计、 工具定义、Prompt 与编排设计、代码生成、验证迭代，产出可直接运行的 Agent 项目。 框架无关设计优先，支持 LangChain / EINO / AutoGen / AgentScope / CrewAI 等 ADK 框架。
Script a multi-turn tutoring dialogue with branching responses for anticipated student difficulties. Use when designing AI tutors, chatbot interactions, or structured one-to-one…
Generate test scenarios, write the test file, and run it for a specific source file using the tailtest R1-R15 rule layer.
Frappe backend guidance for Python and backend-adjacent JavaScript surfaces such as client interaction patterns, hooks, APIs, patches, scheduler logic, reports, and server-side…
Use when starting any conversation - establishes how the development-skills plugin works and how to invoke its components on each platform (Claude Code, Codex). Read first.
Pick up where you left off from a previous session — use after context resets, compaction, or new conversations
Diagnose motivation problems in a task using self-determination theory and redesign for autonomy, competence, and relatedness.
Generates multiple means of engagement, representation, and action/expression for a given learning goal.
Design learning tasks built on Ubuntu philosophy emphasising collective knowledge-building and mutual responsibility.
Design a practitioner inquiry cycle from research question through data collection to evidence-informed action.
错误经验库：自动捕获错误模式、根因和解决方案，支持查询和反馈更新。 当遇到 build error、runtime error 或需要查找历史错误解决方案时使用。
Apply arbitrary and symbolic icon design — using forms with no inherent meaning that depend on convention to communicate (the hamburger menu, the kebab menu, the AI sparkle, app…
Use when building, reviewing, or refactoring a Remotion project, especially parameterized launch or demo videos with shared props schemas, calculateMetadata, Sequence and Series…
Apply the principle of avoiding the Scaling Fallacy — the assumption that a system that works at one scale will work at a different (smaller or larger) scale.
Design a complete lesson study cycle from research question through collaborative planning to research lesson.
Coordinates UDL and differentiation tools through a universal-first hierarchy: barrier removal before targeted differentiation before individualised accommodation.
Apply the Exposure Effect (mere-exposure effect) — the well-documented finding that repeated exposure to something tends to increase liking for it.
Design a restorative practice protocol for addressing harm, rebuilding trust, and restoring relationships.
Slow down interpretation from observation to action. Use when students or adults need to examine assumptions in conflict, dialogue, or inquiry.
Design a worked example fading sequence from fully worked examples through to independent practice. Use when teaching procedures, algorithms, or multi-step processes to novice…
Combined codebase health dashboard that scores a project across all four quality dimensions — PR quality, architecture, tech debt, and test quality — in a single pass, drawing on…
Map control, influence, and concern after systems analysis. Use when students need wise agency without being made responsible for everything.
OpenClaw instance administration — manage hosts across macOS, Ubuntu/Debian, Docker, OCI, and Proxmox
Brainstorm creatively with pattern spotting and paradox hunting — use for ideation and exploration
Design a structured protocol for auditing AI-generated text against Ennis's six CT standards. Use when students need to critically evaluate AI output in any subject.
Используй только внутри активного Codex Project Autopilot-проекта для deployment/handoff по его плану; не включай для обычных deploy-задач вне автопилота.
Present pathway options and orchestrate place-based curriculum design from a local place, curriculum requirement, or community issue.
Use the exposure effect deliberately in onboarding and habit formation — getting users to repeated, low-friction encounters with the product so familiarity builds and preference…
Cross-agent gene sharing protocol for exchanging validated evolution patterns between Claude sessions with trust downgrades and local revalidation.
Route ordinary init, review, and security requests to Claude-native capabilities first; escalate to Octopus only when multi-LLM diversity adds value
Create zero-context implementation plans with bite-sized tasks — use for multi-step feature planning
Record a skill deviation with OrgX so it feeds tomorrow's Daily Brief. Use whenever an OrgX skill fires locally on a file edit, commit, PR, chat turn, or task output.
统一进化资产模型与自进化闭环核心。定义 Gene（策略 DNA）、Capsule（已验证经验快照）、 EvolutionEvent（追加式事件日志）三层资产模型，实现 Detect→Select→Replay→Validate→Solidify→Reuse 闭环，使 agent 遇到已知问题时先复用已验证经验，跳过重新试错。
Explain and configure individual spacing algorithms using student performance data and forgetting curves. Use when personalising retention schedules in adaptive learning platforms.