搜索
搜索结果
56 results for "subagent driven development"

subagent-driven-development
在当前会话中执行包含独立任务的实施计划时使用
obra
subagent-driven-development
当在当前会话中执行包含独立任务的实现计划时使用
jnmetacode
subagent-driven-development
Use when executing implementation plans with independent tasks in the current session or facing 3+ independent issues that can be investigated without shared state or dependencies - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
neolabhq
verification-before-completion
在声称工作已完成、已修复或通过之前,在提交或创建PR时使用——要求运行验证命令并确认输出后再做出任何成功声明;始终先有证据再断言
obra
receiving-code-review
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明确或技术上可疑时——需要技术严谨性和验证,而非表演性同意或盲目实施
obra
writing-skills
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
dispatching-parallel-agents
当面临两个或更多独立任务且这些任务无需共享状态或顺序依赖时使用
obra
finishing-a-development-branch
当实现完成、所有测试通过,且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
using-git-worktrees
在开始需要与当前工作区隔离的功能开发或执行实施计划之前使用——确保通过原生工具或git worktree回退方式存在隔离的工作区
obra
verify-openspec-docs
Fact-checks OpenSpec user documentation with a fresh-context subagent that re-runs commands and checks claims against source. Manually triggered; not part of the drafting loop. Use when the user asks to verify, fact-check, or accuracy-check a docs page, section, or set of changed claims.
fission-ai
saga
运行一个自主的、规范驱动的开发“saga”,用于中大型功能,使用编排器代理和一组工作子代理。当用户调用 /saga、要求自主端到端构建一个较大的功能且人工干预最少、希望获得一个全面的规范并分解为里程碑和任务(具有严密的验证标准)以便并行实现、或者希望编排器将实现委托给工作代理同时保留自己的上下文窗口时,使用此技能。触发短语包括“run a saga”、“autonomously implement this feature”、“spec it out then build it with subagents”、“orchestrate this big feature end-to-end”或“build this with workers and validate each step”。当被要求继续、恢复或从 saga 目录(例如 ~/.sagas 下)接手现有 saga 时,也使用此技能。
warpdotdev
launch-sub-agent
Launch an intelligent sub-agent with automatic model selection based on task complexity, specialized agent matching, Zero-shot CoT reasoning, and mandatory self-critique verification
neolabhq
multi-agent-patterns
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
neolabhq
agents-sdk
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
intent-driven-development
Turn ambiguous or high-impact product and engineering changes into scoped, verifiable acceptance criteria before or alongside implementation. Use when a user asks to clarify a feature, define acceptance criteria, de-risk a security/data/migration/integration change, prepare implementation requirements for another agent, or make a complex request testable. Do not trigger for trivial edits, straightforward fixes, active debugging, code review, or implementation requests whose acceptance conditions are already clear unless the user explicitly invokes this skill.
affaan-m
game-development
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
tdd
Test-driven development with red-green-refactor loop. Use when user wants to build features or fix bugs using TDD, mentions "red-green-refactor", wants integration tests, or asks for test-first development.
brianlovin
constraint-driven-development
Establishes a project's quality bar as a written contract and stops agents quietly lowering it. Interviews the user on which dimensions matter, supplies sane default thresholds when they have no number in mind, records everything in CONSTRAINTS.md, and watches the diff for a weakened bar — new @ts-ignore or eslint-disable suppressions, skipped or deleted tests, assertions stripped out, unimplemented stubs, thresholds edited down. Use when no quality bar is written down, when the user says "set up constraints" or "define our standards", when an agent keeps silencing checks or skipping tests to get to green, when you need a coverage or performance threshold and don't know what number to pick, or when an agent writes more code than anyone will read.
addyosmani
stable-baselines3
Production-ready reinforcement learning algorithms (PPO, SAC, DQN, TD3, DDPG, A2C) with scikit-learn-like API. Use for standard RL experiments, quick prototyping, and well-documented algorithm implementations. Best for single-agent RL with Gymnasium environments. For high-performance parallel training, multi-agent systems, or custom vectorized environments, use pufferlib instead.
k-dense-ai
tdd-workflow
Test-Driven Development workflow principles. RED-GREEN-REFACTOR cycle.
sickn33
tao-route-visual-changenet-samples
Routes the weakest VCN samples (output of `tao-analyze-gaps-visual-changenet`) into per-augmentation-module
nvidia
n8n-subworkflows
Build reusable, composable n8n sub-workflows. Use when extracting shared logic, building anything multi-step or reused across workflows, or any workflow over ~10 nodes — and whenever the user mentions sub-workflows, Execute Workflow, reuse, shared/common logic, modular workflows, "Define Below" inputs, waitForSubWorkflow, mode each vs all, or exposing a workflow as an agent tool. Covers typed sub-workflow inputs, all-vs-each execution, verb-first naming for discovery, stateless vs stateful design, and splitting by input shape.
czlonkowski
doubt-driven-development
将每一个非平凡决策置于全新上下文的对抗性审查之下,然后再让其成立。当正确性比速度更重要时、在不熟悉的代码中工作时、风险较高时(生产环境、安全敏感逻辑、不可逆操作),或者任何一次自信的输出现在验证比以后调试更便宜时使用。
addyosmani
adhd
面向编码智能体的并行发散式构思。在多种认知框架(监管者、生物学、速通玩家、10岁小孩、零预算)下生成N个独立分支,进行评分、聚类、修剪陷阱,并深化最优幸存者。用于 /adhd、“ADHD模式”、头脑风暴/构思意图,或开放式设计、架构、命名、API/SDK接口以及模糊调试决策。跳过语法、查询、已知根因的bug或封闭式表述(“快速”、“标准”、“规范”、“教科书”)。完整的预检门控在技能正文中。
uditakhourii