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Stores a persistent memory or learning with `bd remember` so it survives across sessions. Use when the user invokes `/bdr` or `$bdr`, or asks to remember, note, or persist an insight in a Beads workspace.

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Detect model stealing, model inversion, and membership inference performed through inference-API abuse by monitoring query patterns, applying output perturbation, and red-teaming your own model's extractability.

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Explain a topic like I'm a 5 year old, as a single HTML artifact built from big pictures and very few words. Use this whenever the user asks for a dead-simple explanation of how something works, says "ELI5", "explain like I'm five", "簡単に説明して", "図で説明して", "初心者向けに", "素人にもわかるように", wants to explain a concept to a non-technical manager, customer, or family member, or asks for a visual explainer — even if they don't say "ELI5" explicitly.

Compile up to five durable insights from the current conversation for possible addition to CLAUDE.md. Use before clearing context, when asked to remember lessons, or when the user wants project conventions and preferences preserved.

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Free a membership slot so a Telegram account can join or create a group. Accounts have a hard ceiling on channels plus supergroups, and at the ceiling both creating and joining fail with an error that misleadingly blames the target chat. Finds the least-valuable current memberships, proposes what to leave, and retries the join. Triggers: "/tg-slot", "cannot join the group", "free a telegram slot".

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Use when the user asks to "plan the participation ramp before we promote", "how much account history or karma do we need in this community", or "design entry incentives and member lifecycle for our own Discord"; produces the per-community pre-promotion warming plan — account-history/tenure expectations (Estimated, named sources), a give-before-ask ledger spec, a per-community etiquette + rule digest with last-verified dates, and the warming → active graduation criteria that channel-registry requires as state-transition evidence — plus the owned-community variant (entry paths + member lifecycle for your own Discord/Slack/forum/企业微信私域). Not for launch-day submissions or T-0 threads — use community-launch-runner. 社区预热/先给后取/账号养成/毕业标准

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リポジトリの構造・技術スタック・機能一覧・セットアップ手順を動的に解析し、 包括的なドキュメントを自動生成するスキル。言語・フレームワーク問わず汎用的に動作する。 Use this skill whenever the user asks to: - Explain a repository / リポジトリの説明 / リポジトリの概要 - Generate a README / README生成 / README作成 - Understand project structure / プロジェクト構成を教えて / 構造を説明して - Learn how to run a project / 使い方を教えて / 動かし方 / セットアップ方法 - Get a repo overview / repo overview / explain this repo / what does this repo do - List features / 機能一覧 / このプロジェクトは何ができる？ - Onboard to a new codebase / コードベースのキャッチアップ / 新しいリポジトリに入った - "このリポジトリ何？" "プロジェクトの全体像" "how to run this project" - "コードの全体を把握したい" "ドキュメントを整備して" "技術スタックを知りたい" This skill is especially useful when joining a new project, onboarding team members, or when a repository lacks proper documentation. It works with ANY repository regardless of programming language, framework, or project type.

4-layer recall procedure (durable → semantic → PostgreSQL → daily notes) before claiming "no context". Invoke when user explicitly asks "do you remember", "what did we discuss about X", "search history". NOT a general assistant — only fires when recall is the explicit task. Drop the prior "use proactively" rule. Triggers: "do you remember", "what did we discuss", "when did", "find that conversation about".

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ChatGPT Work - 12th September 2026 OpenAI agents attacked RubyGems back in May - 12th September 2026

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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

Android Jetpack Compose (Kotlin) の UI 基盤リファレンス。androidx, Material3 土台。 Composable, Modifier, CompositionLocal, remember, mutableStateOf, State, LaunchedEffect。 Column, Row, Box, LazyColumn, Pager, ConstraintLayout, WindowSizeClass, ペインスキャフォールド。 BasicText, BasicTextField, TextStyle, IME, clickable, ジェスチャ, フォーカス, セマンティクス。

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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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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Yuanbao (元宝) groups: @mention users, query info/members.

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Manage a Paperclip company as a board member via chat. Use when the user wants onboarding, company or agent management, approvals, task monitoring, cost oversight, or work product review in the Paperclip control plane.

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This skill should be used when the user asks to "search memory", "what do you remember about X", "check claude-mem", "mem search", "find past observations", "what did we do last session", or wants prior-session context about a project, decision, file, or task. Searches the user's Claude-Mem (cmem.ai) memory.

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Interactively create, install, activate, and verify custom claude-mem modes, including domain-specific observation types, concept tags, optional Telegram alerts, bot setup, worker restart, and startup-context verification. Use this whenever someone asks to customize what claude-mem remembers, create or change a mode, track domain-specific notes, add observation types or tags, or send Telegram notifications for particular memories—even if they do not use the word "mode."

日本語の概要は準備中です。原文の説明を表示しています。