ReddRadar
Topic: vibe-coding
3,535 skills in this topic.
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test-driven-development
Test-first development practice where test specifications are written before production code, integrated into plan tasks as mandatory first sub-steps.
a5c-ai/babysitter 514
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verification
Verification-before-completion discipline ensuring all success criteria are met, tests pass, and reviews complete before declaring work done.
a5c-ai/babysitter 514
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agent-booster
WASM-based instant code transforms for simple tasks, achieving 352x speedup over LLM inference with zero cost.
a5c-ai/babysitter 514
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anti-drift
Hierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.
a5c-ai/babysitter 514
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consensus-mechanisms
Multi-protocol consensus for agent swarms supporting Raft leader election, Byzantine fault tolerance, Gossip state propagation, and CRDT conflict-free merging.
a5c-ai/babysitter 514
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security-hardening
AIDefence security layer with prompt injection blocking, input validation, sandboxed execution, output sanitization, and STRIDE threat modeling.
a5c-ai/babysitter 514
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self-optimization
SONA self-optimizing neural architecture with ReasoningBank trajectory learning, EWC++ anti-forgetting, and reinforcement learning feedback loops.
a5c-ai/babysitter 514
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smart-routing
Complexity-based task routing with Q-Learning optimization, Agent Booster WASM fast-path, and Mixture-of-Experts model selection.
a5c-ai/babysitter 514
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swarm-orchestration
Multi-agent swarm formation and coordinated execution with topology-aware agent deployment, consensus protocols, and anti-drift enforcement.
a5c-ai/babysitter 514
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vector-memory
HNSW vector search for pattern similarity retrieval and knowledge graph maintenance with PageRank scoring, community detection, and 3-tier memory management.
a5c-ai/babysitter 514
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brainstorming
Use when starting any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
a5c-ai/babysitter 514
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executing-plans
Use when you have a written implementation plan to execute in a separate session with review checkpoints between batches.
a5c-ai/babysitter 514
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requesting-code-review
Use when completing tasks, implementing major features, or before merging to verify work meets requirements.
a5c-ai/babysitter 514
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subagent-driven-development
Use when executing implementation plans with independent tasks in the current session. Dispatches fresh subagent per task.
a5c-ai/babysitter 514
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systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes. Requires root cause investigation first.
a5c-ai/babysitter 514
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test-driven-development
Use when implementing any feature or bugfix, before writing implementation code. Enforces RED-GREEN-REFACTOR cycle.
a5c-ai/babysitter 514
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using-superpowers
Use when starting any conversation. Establishes how to find and use skills, requiring skill invocation before any response.
a5c-ai/babysitter 514
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verification-before-completion
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs. Evidence before assertions.
a5c-ai/babysitter 514
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writing-plans
Use when you have a spec or requirements for a multi-step task, before touching code. Creates bite-sized TDD implementation plans with dependency tracking.
a5c-ai/babysitter 514
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ai-model-nodejs
Use this skill when developing Node.js backend services or CloudBase cloud functions (Express/Koa/NestJS, serverless, backend APIs) that need AI capabilities. Features text generation (generateText), streaming (streamText), AND image generation (generateImage) via @cloudbase/node-sdk ≥3.16.0. Built-in models include Hunyuan (hunyuan-2.0-instruct-20251111 recommended), DeepSeek (deepseek-v3.2 recommended), and hunyuan-image for images. This is the ONLY SDK that supports image generation. NOT for browser/Web apps (use ai-model-web) or WeChat Mini Program (use ai-model-wechat).
TencentCloudBase/CloudBase-MCP 985
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ai-model-web
Use this skill when developing browser/Web applications (React/Vue/Angular, static websites, SPAs) that need AI capabilities. Features text generation (generateText) and streaming (streamText) via @cloudbase/js-sdk. Built-in models include Hunyuan (hunyuan-2.0-instruct-20251111 recommended) and DeepSeek (deepseek-v3.2 recommended). NOT for Node.js backend (use ai-model-nodejs), WeChat Mini Program (use ai-model-wechat), or image generation (Node SDK only).
TencentCloudBase/CloudBase-MCP 985
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ai-model-wechat
Use this skill when developing WeChat Mini Programs (小程序, 企业微信小程序, wx.cloud-based apps) that need AI capabilities. Features text generation (generateText) and streaming (streamText) with callback support (onText, onEvent, onFinish) via wx.cloud.extend.AI. Built-in models include Hunyuan (hunyuan-2.0-instruct-20251111 recommended) and DeepSeek (deepseek-v3.2 recommended). API differs from JS/Node SDK - streamText requires data wrapper, generateText returns raw response. NOT for browser/Web apps (use ai-model-web), Node.js backend (use ai-model-nodejs), or image generation (not supported).
TencentCloudBase/CloudBase-MCP 985
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auth-nodejs-cloudbase
CloudBase Node SDK auth guide for server-side identity, user lookup, and custom login tickets. This skill should be used when Node.js code must read caller identity, inspect end users, or bridge an existing user system into CloudBase; not when configuring providers or building client login UI.
TencentCloudBase/CloudBase-MCP 985
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auth-tool-cloudbase
CloudBase auth provider configuration and login-readiness guide. This skill should be used when users need to inspect, enable, disable, or configure auth providers, publishable-key prerequisites, login methods, SMS/email sender setup, or other provider-side readiness before implementing a client or backend auth flow.
TencentCloudBase/CloudBase-MCP 985