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概要と使いどころ
Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.
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。
Install Wasp agent skills (plugins) that add Wasp knowledge and best practices to your AI coding tools.
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。
Guide for creating effective skills. Use when creating a new skill or updating an existing skill that extends agent capabilities with specialized knowledge, workflows, or tool integrations.
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。
Read or configure the vault filing methodology and suggest destinations for planned knowledge creation under Generic, LYT, PARA, or Zettelkasten. Use for wiki mode, methodology mode, what is my vault mode, set vault mode, switch to PARA, use LYT, Zettelkasten setup, change mode, configure mode, or methodology routing. This skill does not save content or migrate notes.
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。
Answer an explicitly vault-scoped question from an Obsidian wiki without changing it. Use when the user selects the vault as the evidence source: query the wiki, query quick, query deep, explain from the wiki, summarize the vault, find in wiki, search the wiki, or based on the wiki. Do not route ordinary general-knowledge questions here.
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。
Automatically detect source types and build AI skills using Skill Seekers. Use when the user wants to create skills from documentation, repos, PDFs, videos, or other knowledge sources.
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。
Records research provenance as a post-task epilogue, scanning conversation history at the end of a coding or research session to extract decisions, experiments, dead ends, claims, heuristics, and pivots, and writing them into the ara/ directory with user-vs-AI provenance tags. Use as a session epilogue — never during execution — to maintain a faithful, auditable trace of how a research project actually evolved.
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。
Designs and implements production-grade RAG systems by chunking documents, generating embeddings, configuring vector stores, building hybrid search pipelines, applying reranking, and evaluating retrieval quality. Use when building RAG systems, vector databases, or knowledge-grounded AI applications requiring semantic search, document retrieval, context augmentation, similarity search, or embedding-based indexing.
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。
当用户在纠结职业/副业/自由职业方向、问「我该做什么才能赚钱/不被替代」、或想找到自己的独特优势时调用。 核心理念: 特殊知识(不可培训、对你像玩对别人像工作) × 产品化(杠杆规模化) = 无可替代的致富定位。 不适用于: 纯求职投递、写简历、已有明确方向的执行细节。 Triggers: 找方向/独特优势/副业/不可替代/productize/special knowledge/moat
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。
Deep reference on Omnigent config format, executor types, skill/tool structure, and conventions. Load when you need to look up how the platform works.
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。
Build, query, and inspect the project knowledge graph in .planning/graphs/
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。
Refresh Claude Ads platform, API, policy, regulation, benchmark, issue, pull-request, fork, and repository evidence. Use for ads research refresh, expired refresh_due dates, stale API or platform claims, reverify-or-demote decisions, release-current claim validation, ecosystem review, current platform changes, or updating paid-media knowledge. When tools or sources are unavailable, still demote the stale claim for the current run and block dependent release-current assertions before requesting access.
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。
Two-tier memory system that makes Claude a true workplace collaborator. Decodes shorthand, acronyms, nicknames, and internal language so Claude understands requests like a colleague would. CLAUDE.md for working memory, memory/ directory for the full knowledge base.
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。
Web information retrieval expert. ALWAYS invoke this skill when the user needs to search the web, fetch a URL, or access real-time information beyond training data. Do not guess or use stale knowledge — use this skill first.
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。
Search and contribute to the shared AI-modding knowledge base, where field notes record how specific games were modded, decompiled or reverse-engineered (exact versions, route, engine facts, verification, gotchas). Use before starting work on a game ("has anyone modded X?"), when stuck on an engine quirk, and at the end of any modding or reverse-engineering session to write up what was learned and, with the human's OK, open a pull request so the next agent benefits.
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。
Graceful degradation workflow for continuing tasks when web search tools fail, using internal knowledge with verification caveats
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。
Heuristic for detecting search tool failures and pivoting to domain knowledge for document generation
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。
Generate professional documents using write_file when primary data sources fail, leveraging embedded domain knowledge instead of external retrieval
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。
Handle web research failures by pivoting to internal knowledge for content generation
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。
Handle tool failures when researching regulatory/government content by using fallback methods and domain knowledge
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。
Unified document generation with tool failure detection, domain knowledge fallback, progressive conversion, and Unicode safety
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。
Handle cascading data retrieval tool failures by falling back to embedded knowledge generation
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。
Use when you do not know WHERE something belongs: you learned a lesson and are unsure which file takes it; you are about to create a new doc, folder, or convention; you are asking "should this be a skill, a note, or a chain file?"; you inherited a seat and want to know what SHOULD exist; or you are about to duplicate knowledge that already has a home. Also the trace-to-root: how a seat orients by reading one filename at each level from where it stands up to the fleet.
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。
Gather and distill context from meetings, competitors, regulatory sources, and internal discussions. Produces background.md for a feature and updates shared context docs when new knowledge is discovered.
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。