「knowledge」の検索結果

Use when someone asks to build a 3D brain, visualize their AIOS or second brain, turn their knowledge into an interactive graph, or run /3d-brain or /3D brain.

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dontbesilent 个人决策系统。把任何一个需要长期跟踪的领域（业务、关系、健康、职业、学习、投资……）做成一个本地知识工程：四层结构、来源标签、写完不改的快照、能炼出规律的概念库。 触发方式：/dbs-decision、/决策系统、/决策立案、/结果回填、/状态画像 Personal decision system. Turns any long-running domain into a local knowledge project with four layers, source tags, immutable snapshots, and a concept library that learns patterns over time. Trigger: /dbs-decision, /决策系统, /决策立案, /结果回填, /状态画像

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dontbesilent 内容结构化系统。把本地大量文稿、推文、选题、案例和课程稿搭成一个可持续生长的内容结构化工程：先审计内容规模与边界，再建立新工程、复制素材、抽取内容单元、生成主题地图与选题装配稿。 触发方式：/dbs-content-system、/内容结构化系统、「把我的内容做成结构化系统」「把本地素材变成可重组系统」「帮我搭内容资产工程」「我想把旧内容变成可复用资产」 Content structuring system. Audits local content volume, then builds a reusable content knowledge project with units, topic maps, and assembly drafts. Trigger: /dbs-content-system, "build a content structuring system", "turn my archive into reusable assets"

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AI DevKit · Document a code entry point with structured analysis, dependency mapping, and saved knowledge docs. Use when users ask to document, understand, or map code for a module, file, folder, function, or API.

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Extract durable ktx knowledge and semantic-layer contribution proposals from staged Looker runtime dashboard, Look, and explore JSON. Load for WorkUnits whose raw files are under explores/, dashboards/, or looks/.

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Extract durable ktx wiki knowledge from staged Sigma data model specs and workbook summaries. Load for WorkUnits with unitKey sigma-data-models or sigma-workbooks.

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Capture semantic-layer and knowledge updates from a live database schema snapshot.

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Build, deploy, evaluate, optimize, fine-tune, and manage Microsoft Foundry agents, models, and resources end to end. USE FOR: foundry, azd ai agent, azd provision/deploy, hosted agent scaffold/develop/run/deploy/troubleshoot, prompt agent create, managed harness agent create, GitHub Copilot harness agent, create agent, update agent, add tool to agent, invoke agent, agent insights, evaluate agent, batch eval, continuous eval, continuous monitoring, agent CI/CD, optimize prompt, improve prompt, optimize agent instructions, Agent Optimizer scaffold, dataset curation from traces, deploy model, model fine-tuning (SFT/DPO/RFT), Foundry project, RBAC, role assignment, permissions, quota, capacity, region, deployment failure, AI Services, create Foundry resource, knowledge index, customize deployment, onboard, availability, training-data, grader, distillation, large file upload. DO NOT USE FOR: Azure Functions, App Service, general Azure deploy (use azure-deploy), general Azure prep (use azure-prepare).

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Health-check your meeting knowledge for contradictions, stale commitments, and decision conflicts. Use when the user asks "any conflicts in my meetings", "check for stale action items", "lint my meetings", "consistency check", "are there contradictions", or wants to audit their decision history.

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OWASP MCP Top 10 knowledge base for identifying, assessing, and remediating Model Context Protocol security risks.

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Secure by Design principles knowledge base for assessing security-first design, development, and deployment across the software lifecycle.

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OWASP Infrastructure Top 10 knowledge base for identifying, assessing, and remediating internal IT infrastructure security risks.

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OWASP Agentic Security Top 10 knowledge base for identifying, assessing, and remediating AI agent system security risks.

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OWASP Top 10 for Web Applications (2025) knowledge base for identifying, assessing, and remediating web application security risks.

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OWASP Docker Top 6 knowledge base for identifying, assessing, and remediating Docker container security risks.

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OWASP Top 10 for LLM Applications (2025) knowledge base for identifying, assessing, and remediating large language model security risks.

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OWASP CI/CD Top 10 knowledge base for identifying, assessing, and remediating CI/CD pipeline security risks.

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Design Thinking handoff knowledge for research-ready rpi-research inputs and DT-aware rpi-plan, rpi-implement, and rpi-review context

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Design Thinking method coaching knowledge across all nine methods including per-method techniques, deep expertise, and industry context (energy, financial services, healthcare, manufacturing, nonprofit and social impact, pharmaceuticals and life sciences, professional services, public sector, retail and CPG)

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Design Thinking coaching foundation knowledge: coach identity and philosophy, quality and fidelity constraints, method sequencing, coaching state schema, and the canonical deck workflow

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Run /sync as the last step after a change is complete, around merge, to keep durable knowledge current. Updates root and nested AGENTS.md, reconciles the scope from repo evidence, and flags specs the change made stale. Surgical edits only: it adds lines, and rewrites single lines it owns. Never a whole section, never curated prose.

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Answer questions using the Arkon knowledge base. Searches wiki first, drills into raw sources only when needed. Supports quick, standard, and deep modes. Triggers on: what do we know about, find in KB, look up, query:, arkon query, search the wiki, tell me about, based on the KB.

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Fetches real, citable Bilibili (B站) video data — stats, metadata, tags, and full danmaku text — via login-free API calls, never hand-typed or estimated. Use when citing view/like/favorite counts, analyzing why a video performed, or archiving a Bilibili source into a knowledge base. Accepts BVID, av numbers, b23.tv links, or full URLs; subtitles and 收藏夹 (favorites) enumeration need the user's Bilibili login.

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Installs, diagnoses, repairs, and personalizes the official Tencent IMA skill (a wrapper around upstream ima-skill, not a replacement), including fan-out search across IMA knowledge bases with priority boosting. Use when the user mentions IMA / 腾讯 IMA / ima-skill, needs IMA API key setup, 知识库搜索 / 笔记搜索, imports URLs into a KB to extract content, or hits "Skipped loading skill(s) due to invalid SKILL.md" (ima-skill's missing-YAML-frontmatter bug).

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。