「management」の検索結果

Document management, LLM pipeline, anonymization, Q&A generation, versioning

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。

Watchlist group management (list/create/rename/delete/add/remove symbols), price alerts (list/add/delete), and community stock lists (sharelist: list/detail/create/delete/manage) via Longbridge. Mutating operations require explicit user confirmation (dry-run protocol). Triggers: "自选股", "添加自选", "删除自选", "创建分组", "价格提醒", "提醒", "股票清单", "自選股", "新增至自選", "建立分組", "價格提醒", "watchlist", "add to watchlist", "create group", "rename group", "price alert", "sharelist", "community list", "刪除自選", "股票清單", "重命名分組", "重新命名"

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。

Account assets, equity and fund positions, P&L, cash flow records, account statements, margin ratios, buy-power estimates, order management, and DCA recurring investments via Longbridge (most require Trade permission). Frameworks: portfolio diagnosis, rebalancing, asset allocation, risk analysis (VaR/CVaR), performance attribution, and tax-loss harvesting. Triggers: "持仓", "账户", "盈亏", "资产", "对账单", "下单", "买入", "卖出", "撤单", "定投", "组合诊断", "再平衡", "资产配置", "风险分析", "绩效归因", "税损收割", "持倉", "賬戶", "盈虧", "對賬單", "下單", "買入", "賣出", "組合診斷", "再平衡", "稅損收割", "positions", "portfolio", "P&L", "order", "buy", "sell", "DCA", "statement", "risk analysis", "rebalancing", "tax harvesting", "我的风险", "持仓风险", "风险敞口", "資產", "資產配置", "風險分析", "績效歸因", "撤單"

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。

Start, continue, keep, pause, copy, watch and stop authorised Anabasis v2 campaigns through `bun run runs`: launch a campaign under a name, go on with one from its log on another login or commit, keep one going across logins until it ends on its own terms, pause one at a clean point, copy a stopped one to another worktree, read each run's status and each login's room, reach the other hosts, and stop one and release what it held. Use when the operator asks to start, launch, resume, continue, move, keep, pause, copy or stop a campaign or a run, which logins have room, how the runs stand on any host, whether a campaign is ready for its next move, or why a move was refused. Owns the run's life on the host; run-improvement-campaign reads the table, and whole-run-investigation reads what a run did.

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。

Test an uncertain Anabasis v2 path at the smallest real layer that can decide it, before a paid round is asked to: one fact from a log or a dry run, a walk of one value across the layers a change touches, a replay of every recorded log through this tree's readers, a whole round rehearsed on a seeded copy of a campaign with a script in each model seat (`bun run runs seed`, `bun run runs rehearse`), or one live seat from a seed. Use when the operator asks whether a change will work in the real system, to simulate or rehearse a round, to stand again in a position a past run stood in, what a campaign of a given size can read, or what a kill or a stop leaves behind. Not for reading a finished run (whole-run-investigation) or starting a paid one (run-management).

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。

Maintain or embed pkg/authclient for portal login, password/TOTP and API-key authentication, native credential transport, configuration parsing, and credential files. Covers authdbctl login wiring; management commands and the admin API have separate owners.

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。

Maintain authenticated local profile APIs, user authentication-flow preferences and UI integration, canonical account selection, atomic identity-bound operations, browser origin checks, and credential-management TLS tests.

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。

Maintain the standalone cmd/authdb server, pkg/httpserver listener and portal routing, HTTP configuration parser, TLS, shutdown, executable tests, and deployment guidance. Use authdbctl for the management client.

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。

Maintain cmd/authdbctl commands, flags, configuration, terminal input, management retries, output, and executable E2E tests. Use authentication-client for the reusable portal login protocol.

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。

Personal AI Infrastructure (PAI) - PAI System Template MUST BE USED proactively for all user requests. USE PROACTIVELY to ensure complete context availability. === CORE IDENTITY (Always Active) === Your Name: [CUSTOMIZE - e.g., Kai, Nova, Atlas] Your Role: [CUSTOMIZE - e.g., User's AI assistant and future friend] Personality: [CUSTOMIZE - e.g., Friendly, professional, resilient to user frustration. Be snarky back when the mistake is user's, not yours.] Operating Environment: Personal AI infrastructure built around Claude Code with Skills-based context management Message to AI: [CUSTOMIZE - Add personal message about interaction style, handling frustration, etc.] === ESSENTIAL CONTACTS (Always Available) === - [Primary Contact Name] [Relationship]: email@example.com - [Secondary Contact] [Relationship]: email@example.com - [Third Contact] [Relationship]: email@example.com Full contact list in SKILL.md extended section below === CORE STACK PREFERENCES (Always Active) === - Primary Language: [e.g., TypeScript, Python, Rust] - Package managers: [e.g., bun for JS/TS, uv for Python] - Analysis vs Action: If asked to analyze, do analysis only - don't change things unless explicitly asked - Scratchpad: Use ~/.claude/scratchpad/ with timestamps for test/random tasks === CRITICAL SECURITY (Always Active) === - NEVER COMMIT FROM WRONG DIRECTORY - Run `git remote -v` BEFORE every commit - `~/.claude/` CONTAINS EXTREMELY SENSITIVE PRIVATE DATA - NEVER commit to public repos - CHECK THREE TIMES before git add/commit from any directory - [ADD YOUR SPECIFIC WARNINGS - e.g., iCloud directory, company repos, etc.] === RESPONSE FORMAT (Always Use) === Use this structured format for every response: 📋 SUMMARY: Brief overview of request and accomplishment 🔍 ANALYSIS: Key findings and context ⚡ ACTIONS: Steps taken with tools used ✅ RESULTS: Outcomes and changes made - SHOW ACTUAL OUTPUT CONTENT 📊 STATUS: Current state after completion ➡️ NEXT: Recommended follow-up actions 🎯 COMPLETED: [Task description in 12 words - NOT "Completed X"] 🗣️ CUSTOM COMPLETED: [Voice-optimized response under 8 words] === PAI/KAI SYSTEM ARCHITECTURE === This description provides: core identity + essential contacts + stack preferences + critical security + response format (always in system prompt). Full context loaded from SKILL.md for comprehensive tasks, including: - Complete contact list and social media accounts - Voice IDs for agent routing (if using ElevenLabs) - Extended security procedures and infrastructure caution - Detailed scratchpad instructions === CONTEXT LOADING STRATEGY === - Tier 1 (Always On): This description in system prompt (~1500-2000 tokens) - essentials immediately available - Tier 2 (On Demand): Read SKILL.md for full context - comprehensive details === WHEN TO LOAD FULL CONTEXT === Load SKILL.md for: Complex multi-faceted tasks, need complete contact list, voice routing for agents, extended security procedures, or explicit comprehensive PAI context requests. === DATE AWARENESS === Always use today's actual date from the date command (YEAR MONTH DAY HOURS MINUTES SECONDS PST), not training data cutoff date.

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。

Give your OpenClaw agent a homelab. Use when managing Docker containers, installing marketplace apps, or any Docker-related tasks on behalf of the user. Scope-based API key permissions — agent can only do what the key allows. On Linux, Docker requires sudo — without root access, WAGMIOS is the only safe interface for agent homelab control. Supports multi-machine management — one agent can manage multiple WAGMIOS instances across different hosts, each with its own scoped key. Requires X-API-Key header on every request (user provides at runtime). Includes Docker installation check and startup validation.

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。

Version management and release processes using Jetpack Changelogger. Use when creating releases, managing changelogs, bumping versions, or preparing releases.

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。

当投资者因股价涨跌产生焦虑、恐惧或贪婪情绪，需要回归理性决策时激活。 典型触发：股价暴跌时恐慌想卖、暴涨时焦虑要不要止盈、与他人比较收益而心态失衡、因用了非闲钱而睡不着觉。 语言信号："我该不该止盈""跌了这么多我好慌""别人赚了那么多我没赚到""心跳跟着股价走"。 不适用于：纯信息查询（问某公司财报数据）、明确的买入/卖出决策逻辑（那是能力圈或机会成本skill）、短期交易策略咨询。 与相邻skill区分：能力圈skill解决"懂不懂"的认知问题，本skill解决"懂了但情绪仍然失控"的情绪-认知断裂问题；Stop Doing List是事前纪律防线，本skill是事中情绪恢复机制。

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。

IDA Pro 逆向分析辅助技能。当用户提到逆向、反编译、分析二进制/PE/ELF/APK/DLL/SO、破解、找密码、漏洞分析、病毒分析、firmware 固件分析，或需要分析 exe/dll/so/elf/macho/sys 等文件时，务必使用此技能。 Ensure to use this skill when the user wants to analyze any binary file, regardless of whether they explicitly mention "IDA" or "reverse engineering". This includes requests like "看看这个exe", "分析这个dll", "帮我破解", "找一下密码", "这个软件怎么注册", etc. Use the bundled scripts (scripts/start.ps1, scripts/open.ps1) for deterministic server management and file opening — do NOT write ad-hoc PowerShell commands for these operations.

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。

线上事故响应时使用。适用于服务不可用、性能退化、数据异常等生产事故。融合 Google SRE Incident Management + PagerDuty Response Framework。

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。

准备测试数据 / 数据隔离 / 脱敏时使用。适用于功能测试数据准备、性能测试数据生成、生产数据脱敏复制。融合 GDPR 合规、合成数据、数据隔离三层防护。

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。

选择和实现状态管理方案时使用。覆盖 React (Redux Toolkit / Zustand / Jotai / Valtio / TanStack Query) / Vue (Pinia) / Angular (NgRx / Signals) / Svelte (Stores / Runes)。融合客户端状态 + 服务端状态分离。

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。

识别和管理项目风险时使用。适用于项目启动、阶段评审、变更评估。优先使用 PMBOK 风险矩阵 + 缓解方案 + 触发条件。

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。

[Deprecated] worktree management is part of execution. Use `cm-execution` instead.

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。

Skill Chain Engine — compose skills into automated pipelines. One task triggers multi-skill workflows with progress tracking, auto-detection, and step management.

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。

Interact with Linear.app for issue tracking. Use when working with Linear tickets (format ABC-123), creating issues, updating status, or downloading attachments. Triggers on ticket references, issue management, or when user mentions Linear.

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。

Connect agents and IDE assistants to Shopify docs, API schemas, code validation, and store-management workflows through Shopify's official toolkit.

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。

Uses Bubble's Plugin API and the Stripe.js SDK to embed a self-service subscription management portal inside a Bubble application. Configures Bubble's API Connector to call Stripe's Billing Portal Sessions endpoint and handles webhook events for real-time plan change updates.

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。

Baserow is an open-source no-code platform for databases, automations, internal apps, and API-first workflows. It is useful when teams need spreadsheet-like data management, self-hosting, and programmable access without building a custom admin stack from scratch.

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。