Convex Agents RAG
Implements Retrieval-Augmented Generation (RAG) patterns to enhance agents with custom knowledge bases. Use this when agents need to search through documents, retrieve context from a knowledge base, or ground responses in specific data.
Convex Agents Rate Limiting
Controls message frequency and token usage to prevent abuse and manage API budgets. Use this to implement per-user limits, global caps, burst capacity, and token quota management.
Convex Agents Streaming
Streams agent responses in real-time to clients without blocking. Use this for responsive UIs, long-running generations, and asynchronous streaming to multiple clients.
Convex Agents Threads
Manages conversation threads to group messages into linear histories. Use this when organizing multi-turn conversations, managing per-user history, and handling thread metadata.
Convex Agents Tools
Enables agents to call external functions, APIs, and database operations through tool definitions. Use this when agents need to fetch data, perform actions, or integrate with external services while maintaining clean separation.
Convex Agents Usage Tracking
Tracks LLM token consumption and usage metrics for billing, monitoring, and optimization. Use this to log token usage, calculate costs, generate invoices, and understand which agents or users consume the most resources.
Convex Agents Workflows
Orchestrates multi-step agent operations with durable execution, automatic retries, and recovery from failures. Use this for complex workflows that need to survive server restarts or coordinate multiple agents.
convex-mutations
This skill should be used when implementing Convex mutation functions. It provides comprehensive guidelines for defining, registering, calling, and scheduling mutations, including database operations, transactions, and scheduled job patterns.
convex-queries
This skill should be used when implementing Convex query functions. It provides comprehensive guidelines for defining, registering, calling, and optimizing queries, including pagination, full text search, and indexing patterns.
convex-tanstack
Comprehensive guide for building full-stack applications with Convex and TanStack Start. This skill should be used when working on projects that use Convex as the backend database with TanStack Start (React meta-framework). Covers schema design, queries, mutations, actions, authentication with Better Auth, routing, data fetching patterns, SSR, file storage, scheduling, AI agents, and frontend patterns. Use this when implementing features, debugging issues, or needing guidance on Convex + TanStack Start best practices.
vercel-ai-elements
This skill provides comprehensive documentation for all 23 Vercel AI Elements components organized by category (Message, Conversation, Input/Interaction, Content Display, AI Processing, Advanced Features). Use when users ask about building AI chatbots, need component documentation, want API references for Vercel AI Elements, or need integration examples with the AI SDK.
pull-request
PR Generator - Generate standardized Pull Request based on branch diff and submit via gh or save as PR.md
simple-skills-manager
Manage skills from local paths or git repositories - add, update, or remove skill tips in ~/.claude/skills with group-skillname format
commit
Git Commit Generator - Generate standardized commit messages following Conventional Commits specification
arcblock-context
Load ArcBlock company context (products, technical architecture, strategy) on demand. Use `/arcblock-context` to see available topics, or `/arcblock-context <topic>` to load specific context.
blocklet-branch
Git branch management tool. Detects main iteration branch and branch naming conventions, handles branch creation and switching. Referenced by blocklet-dev-setup, blocklet-pr, and other skills.
blocklet-converter
Converts static web or Next.js projects into ArcBlock blocklets using provided DID. Analyzes project structure, generates configuration files, and validates setup. Requires blocklet DID as parameter.
blocklet-dev-setup
Configure development environment for blocklet-type repositories. Supports parsing GitHub Issue URLs, Blocklet URLs, or problem descriptions to automatically locate repositories, check permissions, clone code, install dependencies, and start development server. Use `/blocklet-dev-setup` or say "help me fix the xxx blocklet issue", "I want to develop xxx blocklet", "I want to modify code related to this URL" to trigger. In short, use this as the starting point when you want to develop a blocklet.
blocklet-getting-started
Guide users to choose between blocklet-dev-setup and blocklet-server-dev-setup. Ask what to develop (blocklet or server), handle migration from existing environments, explain convention directories, and showcase advanced usages. Use `/blocklet-getting-started` or say "I want to start blocklet development", "how to setup blocklet dev environment" to trigger.
blocklet-pr
Create standardized Pull Requests for blocklet projects. Performs lint checks, unit tests, version updates, and creates PRs following PR templates. Use `/blocklet-pr` or say "help me submit a PR", "create pull request" to trigger.
blocklet-server-dev-setup
Clone blocklet-server repository and guide execution of the in-project project-setup skill. Use `/blocklet-server-dev-setup` or say "help me configure blocklet-server environment", "setup blocklet-server" to trigger.
blocklet-updater
Creates a new release for a blocklet project by bumping version, building, and bundling. Use when asked to "create a new release", "bump and bundle", or "update blocklet version".
blocklet-url-analyzer
Analyze Blocklet Server related URLs, identify their type (daemon/service/blocklet), and locate the corresponding development repository. Supports analysis of IP DNS domains and regular domains.
interview-writer
AI 采访式内容创作系统。不是人写，也不是 AI 自动写，而是 AI 分析后采访人再按人的风格写。通过问答不断沉淀用户画像（观点、写作风格、思考逻辑），持续迭代演进。支持博客、社交媒体、观点文章等场景。
diff-review-doc
Generate comprehensive, reviewer-ready code review documents from git diffs. Use this when the user provides code changes (git diff output, file changes, or asks to review code changes) and wants a structured review document. Creates detailed analysis covering change overview, business flow, key code explanation, risk assessment, and review recommendations. Supports both manual diff input and automatic git workspace detection. Particularly useful for reviewing pull requests, feature branches, or any code changes requiring thorough documentation for reviewers.
intent-interview
Transform vague ideas into implementation-ready specifications through structured interviewing. Use when user describes a new feature/product idea, has a problem to solve, needs to document requirements, or says things like "帮我梳理需求", "interview me about this", "细化这个想法", "spec out this project". Produces two artifacts - intent.md (technical spec for code agents) and overview.md (human-friendly summary for team).
plugin-authoring
Use when creating, modifying, or debugging Claude Code plugins. Triggers on .claude-plugin/, plugin.json, marketplace.json, commands/, agents/, skills/, hooks/ directories. Provides schemas, templates, validation workflows, and troubleshooting.
what-robert-thinks
Evaluate proposals, technical decisions, and product directions against Robert's thinking patterns, ArcBlock's AFS/AINE architecture, and engineering philosophy. Use when reviewing proposals, evaluating technologies, or self-reviewing designs.
explore-exploit-cycles
Use when managing growth experiments, when a product area faces diminishing returns, or when deciding whether to generalize or specialize in career or product strategy
Four Forces of Progress
A behavioral model defining the opposing forces in switching decisions—Push, Pull, Anxiety, Habit. Change happens only when (Push + Pull) > (Anxiety + Habit). Core to Jobs-to-be-Done theory.
gamification-triad
Use when designing retention mechanisms, habit loops, or auditing why users drop off despite engaging with core features, to structure gamification beyond superficial badges
Hierarchy of Engagement
A three-level framework to gauge growth quality. Level 1: Core Action completion. Level 2: Retention via accruing benefits and mounting loss. Level 3: Self-perpetuating loops. Don't optimize for MAU—optimize for engaged users.
Hierarchy of Marketplaces
A roadmap for marketplace domination. Level 1: Focus on a "thimble" to maximize Happy GMV. Level 2: Tip the market via growth loops. Level 3: Dominate to capture economic rents. Not all GMV is equal.
long-horizon-holdout
Use when running experiments on platforms where user value compounds over time, when growth teams claim credit for revenue that would have happened anyway, or when short-term wins don't translate to long-term value
marginal-user-framework
Use when facing conversion plateaus, expanding to new markets, or when aggregate data fails to reveal growth bottlenecks, to identify high-leverage improvements by focusing on worst-case users
Minimum Lovable Product (MLP)
In an era where AI lowers the cost of building software, viability is obsolete. The differentiator is joy and emotional connection. Prioritize "Wow" over "Aha"—brand is product interaction.
organism-conversion-loop
Use when building AI-native products where user data can fine-tune performance, when static software fails to improve with usage, or when designing products that learn from interaction
Product-Led Marketing Loop
Treat product usage costs (even high LLM costs) as marketing expenses. Remove all friction to access, let users create social proof. COGS becomes CAC. Ship to create noise.
shortening-feedback-loops
Use when decisions seem to require years to evaluate, when hiding behind long-term vision to avoid accountability, or when struggling to learn from venture/product bets in real-time
solve-before-scale
Use when building zero-to-one products, when the solution shape is undefined, or when teams are applying growth metrics too early
Add A Zero Heuristic
A goal-setting mental model where leaders increase the target by 10x to force teams to abandon current processes and use first-principles thinking. Use during annual planning when teams default to safe, incremental work.
divergent-working-backwards
Use when defining new product lines or major pivots, when single PR/FAQ leads to tunnel vision, or when giving leadership real strategic choices instead of yes/no decisions
Entropy Defense Mechanism
Deliberately impose artificial constraints and simplification rules to counteract organizational drift toward complexity. Complexity kills companies—fight it with binary rules.
four-bbs-roadmap
Use during quarterly or annual roadmap planning, when Engineering wants tech debt work while PMs want features and Leadership wants moonshots, to force explicit resource allocation
Functional Consolidation Model
Restructure organizations by eliminating divisions and GMs, organizing strictly by function to reduce politics and ensure experts lead experts. Use when sensing slowdown, bureaucracy, or fracturing user experience post-PMF.
PR/FAQ Product Validation
Write a future-dated Press Release and FAQ before any coding begins to ensure the product solves a real customer problem. Work backwards from the customer, not forward from capabilities. Amazon's foundational process.
Product Strategy Stack
A hierarchical framework forcing alignment from top down—Mission, Company Strategy, Product Strategy, Roadmap, Goals. Strategy precedes goals; goals measure progress against a strategy.
seasonal-planning
Use in rapidly evolving industries like AI where 6-month plans become obsolete, when needing to balance direction with agility, or when traditional annual roadmaps fail
Single Consciousness Roadmap
A planning framework where the entire company operates off a single, rolling two-year roadmap with synchronized releases. Use when shipping frequently but customers aren't noticing, or when engineering and marketing are out of sync.
strategic-narrative
Use when traditional problem/solution pitches fail to differentiate, when teams are misaligned around messaging, or when entering Series B/scaling phases where founder-led sales no longer scale
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