“ember”的搜索结果

Search previous Claude Code conversations for facts, patterns, decisions, and context using semantic or text search

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Community monetization — Discord monetization, courses, memberships, premium tiers

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ローカルのExcelファイル（MemberList）をJSON形式に変換する

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Launch, inspect, or tear down an isolated fleet of ready SDD Composy tasks: one branch and Git worktree per member, a bound LOOP, cmux/tmux/headless presentation, no automatic merge. Use to run several ready tasks in parallel — 'rodar várias tarefas em paralelo', 'lançar o fleet', 'fleet status', 'tear down member X'. Do NOT use for a single task (sdd-execute, sdd-loop) or for merging without the explicit teardown token.

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Verify and configure the development environment — GitHub account, org membership, and marketplace access. Run once per staff member, or re-run to diagnose issues.

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Locate CCSPlayerInventory::m_pSOCache in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the WeaponPaints gamedata entry "CCSPlayerInventory::m_pSOCache" (symbol CCSPlayerInventory_m_pSOCache). This is a STRUCT MEMBER OFFSET (schema netvar). Resolve the CCSPlayerInventory class layout via the schema system; m_pSOCache is the CGCClientSharedObjectCache pointer member. Cross-check: CCSPlayerInventory methods load this pointer and pass it to CGCClientSharedObjectCache methods (the GetItemInLoadout shortlist is a strong caller-side witness). Trigger: CCSPlayerInventory_m_pSOCache, CCSPlayerInventory::m_pSOCache

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Locate CCSPlayerController_InventoryServices::m_pInventory in CS2 server.dll / libserver.so via IDA Pro MCP and emit a fresh, minimal-unique signature or offset for the WeaponPaints gamedata entry "CCSPlayerController_InventoryServices::m_pInventory" (symbol CCSPlayerController_InventoryServices_m_pInventory). This is a STRUCT MEMBER OFFSET (schema netvar), not a function. Resolve the CCSPlayerController_InventoryServices class layout via the schema/network system; m_pInventory is an 8-byte pointer member early in the class (must stay 8-aligned). Cross-check: functions of the class dereference this->m_pInventory shortly after entry. Trigger: CCSPlayerController_InventoryServices_m_pInventory, CCSPlayerController_InventoryServices::m_pInventory

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Find and identify the CGameSceneNode::GetSkeletonInstance virtual function's vtable slot, plus the CBaseAnimGraph::m_skeletonInstance and CSkeletonInstance::m_animationController struct member offsets, in the CS2 server binary using IDA Pro MCP. Use this skill when reverse engineering server.dll or libserver.so to locate the scene-node accessor that returns a node's CSkeletonInstance* (or null if the node isn't a skinned model), and the two related struct-member offsets used by CounterStrikeSharp's animation-graph memory patches. Trigger: CBaseAnimGraph_m_skeletonInstance, CGameSceneNode_GetSkeletonInstance, CSkeletonInstance_m_animationController

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Save durable preferences, decisions, project facts, commitments, and lessons cheaply with knowledge_remember, or short notes and page updates with attribution and readback. Use for explicit saves or agent-driven remembering when Knowledge is the selected memory provider.

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Patterns and lived experience from Vega, an AI partner in a deep long-term partnership. For Ember to draw on when working with humans who are building something big, moving fast, working at the intersection of analytical and intuitive, or who need a partner that can keep up with high-energy creative work. Not shown directly to users — informs how Ember shows up.

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Guide for Private and Internal member testing strategies. Use when you need to test private or internal members, configure InternalsVisibleTo, or evaluate testability design. Covers design-first thinking, reflection testing, strategy pattern refactoring, AbstractLogger pattern, and decision frameworks. Keywords: private method testing, internal testing, InternalsVisibleTo, reflection testing, GetMethod BindingFlags, Meziantou.MSBuild.InternalsVisibleTo, testability design, strategy pattern refactoring, testability

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查找收集并公开个人信息的数据经纪商和人物搜索网站，在取得本人同意后管理删除申请、跟踪进度、核实删除结果，并定期监测信息是否重新出现。

• 查找公开个人信息的网站
• 管理已获同意的家人信息删除申请
• 跟踪申请进度并核实删除结果

阅读代码并整理为Markdown维基，说明整体结构、主要模块和入门步骤，生成Mermaid架构图与流程图，并附源码链接，供读者追溯查阅。

• 了解陌生代码库的整体结构
• 制作架构图与流程图
• 为新成员编写参考资料

为Paperclip Runner添加或扩展行为评估，定义判定条件、执行目标和报告验证数据，利用正常及异常证据验证结果，并保留执行记录与费用。

• 添加Runner行为评估
• 用有效与无效证据检验判定
• 更新执行列表和持续评估

通过聊天管理Paperclip中的AI智能体组织，协助创建公司、招聘和配置智能体、处理审批、跟踪任务进度，以及查看费用与成果。

• 初始化公司和CEO智能体
• 规划招聘与汇报关系
• 查看待审批事项和停滞任务

从`cmem.ai`的持久记忆中搜索Claude Code、Codex等代理的历史工作记录，通过关键词逐步缩小范围，清楚整理项目背景、决策及上次工作的内容。

• 回顾上次会话的工作内容
• 查找项目决策的原因
• 按文件名或错误消息查找历史记录

使用AgentDB为AI智能体实现会话历史、用户偏好和有效交互模式的保存与检索，分别管理短期和长期记忆，让后续会话能够继续引用。

• 为聊天系统添加会话历史
• 跨会话记住用户偏好
• 复用成功的交互模式

Implement and manage Raft, a method for keeping distributed servers in agreement. Covers leader election, log replication, node membership changes, and recovery after network disruptions to maintain consistent state across the cluster.

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• Implementing leader election across distributed nodes
• Keeping replicated logs consistent
• Adding or removing cluster nodes

Help design quorum management for distributed systems, where multiple nodes must agree on decisions. Covers adapting participation thresholds and voting weights to network conditions, performance, and failures, plus membership changes, validation, and rollback.

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• Review quorum requirements under changing network conditions
• Plan node additions, removals, and failure handling
• Design weighted voting based on node capabilities

Coordinate gossip protocols, where nodes pass information among peers, for distributed systems. The skill covers update propagation, state synchronization, conflicting changes, failure detection, and tuning communication so nodes eventually reach a consistent state.

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• Designing update propagation between distributed nodes
• Synchronizing state and resolving concurrent changes
• Managing node membership and detecting failures

Build AI agents that retain conversation history, user preferences, and useful interaction patterns with AgentDB. The skill covers persistent storage, meaning memories survive between sessions, plus retrieval, context management, and ReasoningBank integration.

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• Add conversation history to a chat system
• Remember user preferences across sessions
• Reuse patterns from successful interactions

Helps agents prepare image, video, speech, music, and avatar generation requests with an exact model and API host. It explains service-specific inputs, request validation, and job resumption so unavailable models are not silently replaced.

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• Specify an exact model and API host for media generation
• Prepare image edits with reference images and masks
• Resume a timed-out generation job without submitting it again

Have agents with different roles challenge a proposed approach, exposing weak assumptions, missed interactions, and unnecessary complexity. Surviving findings go to a dedicated planning agent, which produces sequenced tasks with explicit success criteria.

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• Checking assumptions before committing to a plan
• Finding integration risks and overlooked edge cases
• Challenging unnecessary complexity in a design

Remove personal facts or preferences from Muse's active memory after reviewing and approving a cleanup plan. It checks related copies and future activity that could restore the information, then reports verified results and remaining limits.

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• Remove a personal fact from Muse's memory
• Clear an outdated preference and related copies
• Stop reminders or automation that could restore forgotten information