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概要と使いどころ
Delegate tasks to OpenAI Codex CLI and Google Antigravity CLI from Claude Code. Say 'check with codex' or 'ask gemini for a second opinion' and Claude runs the other agent, keeps a topic-aware session, and critiques the result.
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Use this skill when the user is doing hands-on DOCA Flow DPA Provider work — exporting a `doca-flow` pipe or external resource (index-selector/memory) into BlueField DPA address space so a DPACC-built kernel can read counters, mutate hash-pipe entries, and update/read memory or index-selector resources inline with Flow. Covers per-port `doca_flow_dpa_ctx`, three queue types (general/resources-write/resources-read), the order-sensitive export handshake (`_export_prepare` → add entries → `_export` → `_get_device_addr`), and DPA-side device API. Trigger even when the user does not say "DOCA Flow DPA Provider" — implicit phrasings include "DPA kernel never sees entries in the exported pipe", "BAD_STATE from `_pipe_export`", "how do I disable a hash entry from a DPA kernel", "DPA memory read returns no value", or "DPA-side post keeps returning AGAIN". Refuse and route elsewhere for `doca-flow` pipe construction, generic host-side DPA (`doca-dpa`), or DPA-side kernel-writing — those belong to other skills.
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Maintain a structured planning document tree made of roadmap/status files, implementation status or handoff TODO files, topic notes, decision records, open questions, ideas/inspiration pools, and repository/file-structure hygiene plans. Use when Codex needs to create, reorganize, audit, or update a multi-file plan, design-doc folder, roadmap tree, active implementation-status file, repo cleanup/filesystem plan, ADR/decision log, ideas inbox, or linked planning knowledge base; reconcile Done/In Progress/Next state; resume work from TODO/handoff state; move resolved questions into decisions; promote ideas into formal plan artifacts; or keep plan documents and file-structure planning internally consistent without making this project-specific.
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。
Manage Codex Taskboard issues and taskctl setup when the request names Codex Taskboard, e-taskboard, or taskctl, or the conversation already establishes that board as the target. Not for GitHub, Phabricator, other external trackers, or unrelated product docs.
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 the user asks to process, triage, fetch, view, count, list, or resolve review feedback in a GitHub PR. Supports both CodeRabbit and Codex review workflows. In this workflow, “real review feedback” is strictly defined as actionable inline comments; for CodeRabbit, exclude review summaries and nitpicks, and for Codex, exclude review summary cards and use PR main-thread reactions only as status signals.
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。
Azure AI Search SDK for Python. Use for vector search, hybrid search, semantic ranking, indexing, and skillsets. Triggers: "azure-search-documents", "SearchClient", "SearchIndexClient", "vector search", "hybrid search", "semantic search".
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。
Azure AI Projects SDK for Java. High-level SDK for Azure AI Foundry project management including connections, datasets, indexes, and evaluations. Triggers: "AIProjectClient java", "azure ai projects java", "Foundry project java", "ConnectionsClient", "DatasetsClient", "IndexesClient".
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, structure, and grow a persistent research wiki indexed in pro-workflow's SQLite knowledge base. Each wiki is a folder of markdown pages with provenance, plus a shadow FTS5 index so any session can recall it. Use when the user says "start a wiki", "add to wiki", "compile a page", "wiki on X", or wants a long-lived knowledge base on a topic, paper, product, person, project, or codebase.
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。
Run repeated, measured Git experiments toward a numeric target; keep improvements and revert failures. Use for autonomous optimization or managing an autoresearch run, not one-shot edits.
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。
在推送、标记 PR 就绪或声称“检查通过”之前，按 diff 触及的面选择最小而充分的本地检查，不反射式跑全量。覆盖 TypeScript、Rust、Renderer、发布脚本与 Gate 的选择规则，以及改写历史推送的保护。
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。
Analyze cryptocurrency market sentiment using Fear & Greed Index, news analysis, and market momentum. Use when gauging overall market mood, checking if markets are fearful or greedy, or analyzing sentiment for specific coins. Trigger with phrases like "analyze crypto sentiment", "check market mood", "is the market fearful", "sentiment for Bitcoin", or "Fear and Greed index".
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。
Migrate an Algolia JavaScript client integration from v4 to v5 with inventory, compatibility tests, and rollback. Use when removing initIndex, updating client methods, or reconciling mixed major versions. Trigger with "upgrade Algolia v5", "remove initIndex", or "Algolia SDK migration".
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。
Create a minimal Algolia JavaScript v5 indexing and search proof using a disposable index. Use when verifying credentials, learning the client boundary, or proving first connectivity. Trigger with "Algolia hello world", "first Algolia search", or "test Algolia setup".
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。
Design isolated Algolia development, staging, preview, and production targets with explicit promotion rules. Use when environments share credentials or index names, or previews need bounded search data. Trigger with "Algolia environments", "Algolia staging setup", or "preview index".
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。
Design and audit the data lifecycle for records and user events sent to Algolia. Use when minimizing indexed fields, handling deletion requests, or documenting retention and privacy boundaries. Trigger with "Algolia privacy", "delete Algolia user data", or "index data review".
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 and review a bounded CI gate for Algolia index configuration and disposable-index smoke tests. Use when search changes need pull-request evidence without mutating production. Trigger with "Algolia CI", "test Algolia in GitHub Actions", or "search deployment gate".
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。
Implement or review a single-index Algolia search contract with filters, facets, pagination, and highlighting. Use when building product or content search against the JavaScript v5 client. Trigger with "Algolia search workflow", "add facets", or "searchSingleIndex".
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。
Monitor and optimize Algolia request pressure using observed responses and bounded client behavior. Use when requests return 429, queues grow, or search and indexing compete for capacity. Trigger with "Algolia rate limit", "Algolia 429", or "throttle indexing".
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Build a complete marketing plan covering the full customer journey from stranger to raving fan. Use when the user mentions "marketing plan", "marketing strategy", "target market", "USP", "lead nurture", "customer lifetime value", "PVP Index", or "I dont know where to start with marketing". Also trigger when building a marketing plan from scratch, choosing acquisition channels, or designing end-to-end customer-lifecycle campaigns. Covers the PVP Index, channel selection, and advocacy systems. For brand messaging, see storybrand-messaging. For conversion optimization, see cro-methodology.
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。
Google API integration for blog performance: PageSpeed Insights, CrUX Core Web Vitals with 25-week history, Search Console performance, URL Inspection, Indexing API, GA4 organic traffic, NLP entity analysis for E-E-A-T, YouTube video search for embedding, and Google Ads Keyword Planner. Progressive feature availability based on credential tier (API key, OAuth/service account, GA4, Ads). Shares config with claude-seo at ~/.config/claude-seo/google-api.json. Use when user says "google data", "page speed", "core web vitals", "search console", "indexation", "GA4", "keyword research", "nlp entities", "blog performance", "youtube search", "google api setup".
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。
Credentialed Google API calls for a blog: PageSpeed Insights, CrUX history, Search Console performance and URL Inspection, GA4 organic traffic, Cloud NLP entities, YouTube video search, Google Ads Keyword Planner, and the Indexing API (job and livestream pages only). Uses the user's Google credentials, quotas, and sometimes billing, and asks for consent before the first call. Runs only on an explicit request: /blog google, "run PageSpeed on this blog URL", "pull my Search Console data", "inspect this URL's index status", "set up Google API credentials". Shares config with claude-seo at ~/.config/claude-seo/google-api.json.
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 this skill for setting up vector similarity search with pgvector for AI/ML embeddings, RAG applications, or semantic search. **Trigger when user asks to:** - Store or search vector embeddings in PostgreSQL - Set up semantic search, similarity search, or nearest neighbor search - Create HNSW or IVFFlat indexes for vectors - Implement RAG (Retrieval Augmented Generation) with PostgreSQL - Optimize pgvector performance, recall, or memory usage - Use binary quantization for large vector datasets **Keywords:** pgvector, embeddings, semantic search, vector similarity, HNSW, IVFFlat, halfvec, cosine distance, nearest neighbor, RAG, LLM, AI search Covers: halfvec storage, HNSW index configuration (m, ef_construction, ef_search), quantization strategies, filtered search, bulk loading, and performance tuning.
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。
Archive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user says "archive this". Maintains .archive/MEMORY.md index for cross-session knowledge reuse.
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。
LlamaIndex agent and query engine setup for RAG-powered agents
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。