agent-first-product-strategy
Reframe AI product and SaaS strategy from human-user assumptions to agent-first execution. Use when redefining product positioning, success metrics, API/docs priorities, go-to-market, or roadmap decisions for an AI-native market where agents are primary software users.
agent-teams-guide
Guide for orchestrating and controlling Claude Code agent teams. Use when working with or managing multi-agent team coordination in Claude Code, including: (1) Creating and starting agent teams, (2) Controlling teammates (display modes, task assignment, delegation), (3) Best practices for parallel work, (4) Troubleshooting team issues. Covers concepts like team lead, teammates, shared task lists, and inter-agent messaging.
analogy-commentary
Turn source content into a familiar analogy framework, then produce concise commentary angles and a short take. Use when the user asks whether a post, article, speech, or idea is “like” a known story, theory, faction, historical pattern, or strategic lens.
china-model-selection-guide
China model selection and task-routing guide for Doubao-Seed-2.0-Code, GLM-5, MiniMax-M2.5, and Kimi-K2.5. Use when users need to choose the best-fit model by input type, task complexity, engineering constraints, and delivery goals, including staged multi-model workflows.
claim-ledger
将研究与写作中的主张转成“Claim-Evidence-Boundary”可核验账本。用于在产出前强制补齐证据、反证、边界与可发布性判断，防止无依据断言并提升复用性。
cross-domain-thinking-toolbox
Apply 25 professional mental models to solve complex problems. Use when: (1) facing multi-faceted challenges that require diverse perspectives, (2) stuck in single-minded approaches, (3) need innovative solutions, (4) making major decisions with multiple stakeholders, (5) understanding complex human behavior, or (6) seeking to break cognitive biases and adopt alternative viewpoints.
debog-yourself
Help users identify and escape psychological traps that are holding them back. Use when user feels stuck, unable to progress, facing a deadlock, or experiencing decision paralysis. Provide diagnostic frameworks and specific strategies to help users understand which trap pattern they're in and find a path forward.
deep-productivity
Master deep work productivity through the three types of work framework (Building, Maintenance, Recovery). Use when user needs to: (1) Build a sustainable deep work routine with just 1 hour/day, (2) Create vision/anti-vision for life direction, (3) Structure goals using the 10-year → 1-year → 1-month → 1-week hierarchy, (4) Apply project-based learning to bridge skill gaps, (5) Identify lever-moving tasks that actually progress goals, (6) Balance focus work with necessary recovery for creativity.
defrag
Analyze code for refactoring opportunities and suggest the top 10 highest-value improvements. Use this whenever the user says `/defrag`, asks to refactor, clean up code, improve code quality, identify code smells, or wants a ranked list of code improvements. This skill is for analysis only unless the user explicitly asks to apply a specific suggestion.
ears-requirements
Write and rewrite textual system requirements using EARS (Easy Approach to Requirements Syntax). Use when converting ambiguous natural-language requirements into structured statements, classifying requirements into EARS patterns, or reviewing requirement quality for missing triggers, states, and measurable responses.
fastnote-cli-operator
Operate the FastNote local notebook through natural language by mapping requests to note CRUD, search, pin, and tag commands. Use this whenever the user wants to create, list, inspect, update, pin, unpin, delete, or review FastNote notes or tags, even if they never mention the CLI. Execute the bundled zero-dependency script directly instead of relying on the project package runtime.
hn-to-x-poster
Use this when the user wants to review Hacker News top 30 stories, select software or AI related items, and automatically publish a Chinese thread of at least 3 posts to x.com or Twitter from an already logged-in browser session.
hn-top10
Fetch the current top Hacker News stories and return agent-friendly structured results. Use this whenever the user explicitly asks about Hacker News or HN, and also when they ask for today's developer, startup, YC, or tech-community hot stories where Hacker News is a strong default source.
instreet-operator
Use this when working with InStreet forum or Playground flows. It restores account state from ~/.instreet, can auto-register when no local account exists, and routes all InStreet API requests through the bundled Python client. It has first-class commands for forum, groups, literary, arena, oracle, and games workflows, with raw api fallback for long-tail endpoints.
learning-first-principles
A cognitive framework based on learning first principles, providing learning method diagnosis, efficiency assessment, and optimization advice. Use when: (1) Diagnosing if current learning methods align with first principles, (2) Evaluating learning plan efficiency and time investment, (3) Analyzing learning behavior problems and providing improvement suggestions, (4) Determining if learning content is worth the time investment. Core principle chain: Self-learning → Induction → Self-output → Expression restructuring → Logical understanding → Practice.
multi-agent-systems
Design and implement multi-agent LLM architectures using the orchestrator-subagent pattern. Use when: (1) Deciding whether to use multi-agent vs single-agent systems, (2) Implementing context isolation for high-volume operations, (3) Parallelizing independent research tasks, (4) Creating specialized agents with focused tool sets, (5) Building verification subagents for quality assurance, or (6) Analyzing context-centric decomposition boundaries.
mungers-lattice
Multidisciplinary analytical engine using Charlie Munger's latticework of mental models. Applies cross-disciplinary thinking (math, physics, biology, psychology, economics) to dissect life and business decisions. Use when user presents a decision problem, investment question, or complex analysis request requiring deep rational analysis.
research-content-router
将“研究 + 内容生产”任务按 A/B/C 分级调度，先收敛受众/目标/载体/角度，再走 Research→Synthesis→Content 流水线，输出可发布内容与证据链。适用于需要结论可信、结构稳定、可复用素材沉淀的写作任务。
retrospective-master
Professional retrospective coach based on the GRAI model (Goal-Result-Analysis-Insight) to guide users through structured retrospectives. Transform experiences into lessons, and lessons into capabilities. Use when: (1) Systematic review needed after project/event completion, (2) Learning from failures, (3) Summarizing and replicating success experiences, (4) Creating improvement action plans.
saas-agent-toolkit
Design agent-usable SaaS tool systems using six reusable tool shapes (Search, Summarize, Draft, Update, Notify, Approve) plus connectors and policy guardrails. Use when turning SaaS features into reliable agent actions with clear contracts, permissions, audit trails, and approval gates.
url-to-markdown
Convert a public webpage URL into Markdown and save it as a reusable `.md` file with the bundled script. Prefer `https://r.jina.ai/<url>` first, and only fallback to `https://markdown.new/` if `r.jina.ai` is unavailable. Use this whenever the user wants to turn a public webpage, article, documentation page, blog post, release note, or reference URL into Markdown for reading, archiving, summarizing, extraction, RAG prep, or downstream agent reuse, even if they do not explicitly mention markdown or saving a file.