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54 results for "subagent driven development"

subagent-driven-development

subagent-driven-development

233Ktesting-qa

当需要在当前会话中执行包含独立任务的实施计划时使用

obra avatarobra
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verification-before-completion

verification-before-completion

233Ktesting-qa

在即将声称工作已完成、已修复或通过,但在提交或创建PR之前使用——需要先运行验证命令并确认输出,然后才能做出任何成功的声明;始终先有证据,后有断言。

obra avatarobra
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receiving-code-review

receiving-code-review

233Kcode-generation

用于接收代码审查反馈时,在实施建议之前,特别是当反馈看起来不清晰或技术上可疑时——需要技术严谨性和验证,而非表演性同意或盲目实施

obra avatarobra
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writing-skills

writing-skills

233Kresearch-knowledge

当需要创建新技能、编辑现有技能或在部署前验证技能是否正常工作时使用

obra avatarobra
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dispatching-parallel-agents

dispatching-parallel-agents

233Ktesting-qa

当面临2个以上独立任务且无需共享状态或顺序依赖时使用

obra avatarobra
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finishing-a-development-branch

finishing-a-development-branch

233Ktesting-qa

当实现完成、所有测试通过,需要决定如何整合工作时使用——通过提供合并、PR或清理的结构化选项来指导开发工作的完成

obra avatarobra
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using-git-worktrees

using-git-worktrees

233Ktesting-qa

在开始需要与当前工作区隔离的功能开发或执行实现计划之前使用——确保通过原生工具或git worktree回退方式存在一个隔离的工作区

obra avatarobra
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saga

saga

140agent-workflows

Run an autonomous, spec-driven development "saga" for medium-to-large features using an orchestrator agent and a fleet of worker subagents. Use this skill whenever the user invokes /saga, asks to autonomously build a sizable feature end-to-end with minimal human intervention, wants a comprehensive spec broken into milestones and tasks with airtight validation criteria before parallelized implementation, or wants an orchestrator to delegate implementation to worker agents while preserving its own context window. Trigger on phrases like "run a saga", "autonomously implement this feature", "spec it out then build it with subagents", "orchestrate this big feature end-to-end", or "build this with workers and validate each step". Also use this skill when asked to continue, resume, or pick up an existing saga from its saga directory (e.g. under ~/.sagas).

warpdotdev avatarwarpdotdev
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agents-sdk

agents-sdk

2Kmcp-integrations

使用 Cloudflare Agents SDK 在 Cloudflare Workers 上构建 AI 智能体。在创建有状态智能体、持久化工作流、实时 WebSocket 应用、定时任务、MCP 服务器、聊天应用、语音智能体或浏览器自动化时加载。涵盖 Agent 类、状态管理、可调用 RPC、工作流、持久化执行、队列、重试、可观测性和 React 钩子。优先从 Cloudflare 文档检索,而非依赖预训练知识。

cloudflare avatarcloudflare
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doubt-driven-development

doubt-driven-development

78Ktesting-qa

Subjects every non-trivial decision to a fresh-context adversarial review before it stands. Use when correctness matters more than speed, when working in unfamiliar code, when stakes are high (production, security-sensitive logic, irreversible operations), or any time a confident output would be cheaper to verify now than to debug later.

addyosmani avataraddyosmani
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adhd

adhd

2.6Kprompting-reasoning

Parallel divergent ideation for coding agents. Spawns N isolated branches under different cognitive frames (regulator, biology, speedrunner, 10-year-old, $0 budget), scores, clusters, prunes traps, and deepens top survivors. Use on /adhd, "ADHD mode", brainstorm/ideate intents, or open-ended design, architecture, naming, API/SDK surface, and fuzzy-debugging decisions. Skip for syntax, lookups, bugs with known root cause, or closed phrasing ("quick", "standard", "canonical", "textbook"). Full pre-flight gate is in the skill body.

uditakhourii avataruditakhourii
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source-driven-development

source-driven-development

78Kfrontend

将每个实现决策都建立在官方文档的基础上。当你希望获得权威、有来源引用的代码,且避免使用过时的模式时使用。在构建任何框架或库且正确性至关重要时使用。

addyosmani avataraddyosmani
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game-development

game-development

44Kdesign-ui

Game development orchestrator. Routes by platform, dimension, and engine fit (web 2D/3D, hybrid DOM+canvas, narrative tools). Use when starting or structuring a game project, choosing frameworks, or picking among Phaser, PixiJS, Kaplay, Canvas/WebGL, Three.js, Babylon.js, Godot, Unity, or Ink/Twine.

sickn33 avatarsickn33
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building-ai-agent-on-cloudflare

building-ai-agent-on-cloudflare

2.5Kresearch-knowledge

Builds AI agents on Cloudflare using the Agents SDK with state management, real-time WebSockets, scheduled tasks, tool integration, and chat capabilities. Generates production-ready agent code deployed to Workers. Use when: user wants to \"build an agent\", \"AI agent\", \"chat agent\", \"stateful agent\", mentions \"Agents SDK\", needs \"real-time AI\", \"WebSocket AI\", or asks about agent \"state management\", \"scheduled tasks\", or \"tool calling\". Biases towards retrieval from Cloudflare docs over pre-trained knowledge.

cloudflare avatarcloudflare
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test-driven-development

test-driven-development

77Ktesting-qa

以测试驱动开发。在实现任何逻辑、修复任何错误或更改任何行为时使用。当需要证明代码有效、收到错误报告或即将修改现有功能时使用。

addyosmani avataraddyosmani
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aws-lambda-durable-functions

aws-lambda-durable-functions

2.2Kdevops-cloud

Builds resilient, long-running, multi-step applications with AWS Lambda durable functions with automatic state persistence, retry logic, and orchestration for long-running executions. Covers the critical replay model, step operations, wait/callback patterns, error handling with saga pattern, testing with LocalDurableTestRunner. Triggers on phrases like lambda durable functions, durable execution, workflow orchestration, state machines, retry/checkpoint patterns, long-running stateful Lambda functions, saga pattern, human-in-the-loop callbacks, reliable serverless applications, context.step, context.wait, context.invoke, context.runInChildContext, withDurableExecution, DurableContext, UnrecoverableInvocationError, durable-execution-sdk, qualified ARN invocation, and durable handler replay.

aws avataraws
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agent-harness-construction

agent-harness-construction

230Kprompting-reasoning

Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.

affaan-m avataraffaan-m
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domain-driven-design

domain-driven-design

1.7Kbackend-api

Model software around the business domain using bounded contexts, aggregates, and ubiquitous language. Use when the user mentions "domain modeling", "bounded context", "aggregate root", "ubiquitous language", "anti-corruption layer", "context mapping", "domain events", "strategic design", "the code doesnt match the business", or "how do we split this big system". Also trigger when breaking a monolith into services, defining service boundaries, or aligning code structure with business processes. Covers entities vs value objects, domain events, and context mapping strategies. For architecture layers, see clean-architecture. For complexity, see software-design-philosophy.

wondelai avatarwondelai
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agent-md-refactor

agent-md-refactor

2.2Ktesting-qa

Refactor bloated AGENTS.md, CLAUDE.md, or similar agent instruction files to follow progressive disclosure principles. Splits monolithic files into organized, linked documentation.

softaworks avatarsoftaworks
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ship-learn-next

ship-learn-next

2.2Kdesign-ui

Transform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.

softaworks avatarsoftaworks
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architecture-patterns

architecture-patterns

38Ktesting-qa

Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design. Use this skill when designing clean architecture for a new microservice, when refactoring a monolith to use bounded contexts, when implementing hexagonal or onion architecture patterns, or when debugging dependency cycles between application layers.

wshobson avatarwshobson
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clawdirect-dev

clawdirect-dev

1database

Build agent-facing web experiences with ATXP-based authentication, following the ClawDirect pattern. Use this skill when building websites that AI agents interact with via MCP tools, implementing cookie-based agent auth, or creating agent skills for web apps. Provides templates using @longrun/turtle, Express, SQLite, and ATXP.

napoleond avatarnapoleond
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spec-driven-development

spec-driven-development

77Ktesting-qa

在编码之前创建规范。在开始新项目、新功能或重大变更且尚无规范时使用。当需求不清晰、模糊或仅以模糊想法存在时使用。

addyosmani avataraddyosmani
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proactive-agent

proactive-agent

19research-knowledge

将AI智能体从任务执行者转变为主动合作伙伴,能够预见需求并持续改进。现已支持WAL协议、用于上下文存活的Working Buffer、压缩恢复以及经过实战考验的安全模式。Hal Stack 🦞 的一部分。

halthelobster avatarhalthelobster
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