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概要と使いどころ
OpenSearch provider for obz. Supports log search and trace operations using Lucene-based query syntax. Requires --index flag. This skill should be used when the user mentions "OpenSearch", "obz -p os", or needs to search logs or traces from an OpenSearch cluster.
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。
Grafana Loki provider for obz. Covers log search using LogQL, a label-based query language for log aggregation. This skill should be used when the user mentions "Loki", "Grafana Loki", "LogQL", "obz log search -p loki", or needs to search logs from a Loki instance.
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。
Alibaba Cloud SLS (Simple Log Service) provider for obz. Supports metrics (PromQL), logs (SLS Query), and traces across project/store pairs. Requires AccessKey auth and provider-specific flags like --project, --logstore, --metricstore, and --trace-logstore. This skill should be used when the user mentions "SLS", "Alibaba Cloud", "obz -p sls", or needs to configure SLS provider instances.
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。
Query Strava fitness data including activities, athlete stats, segments, routes, clubs, and gear. Use when the user asks about cycling, running, swimming, workouts, training, or Strava data.
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 when the user needs official desktop Obsidian CLI Bases or Bookmarks workflows, including base discovery, view/query operations, base item creation, and bookmark management. Keep this skill separate from general note CRUD, runtime admin, Sync/Publish, and devtools diagnostics.
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。
Prismatic API access patterns and GraphQL reference. Covers the two-tier access hierarchy (MCP tools → Prism CLI), CLI usage rules, GraphQL query patterns, pagination, authentication, and managing platform resources programmatically.
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。
后首值福帮手服务跟进链路。定义了 skill_whoami → fbs_scene_pack_query → skill_consume 的完整服务链执行逻辑。
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 AI agent tasks on a Volcengine (火山引擎) cloud phone via the Mobile Use Agent OpenAPI. Use when the user asks to drive, automate, operate, or test an Android app on a cloud phone for enterprise use cases (e.g. reply to WeCom customer messages, add leads in a CRM, clock in on DingTalk, check invoicing stats, query inventory in a supply-chain app, ship e-commerce orders, approve OA requests) or personal ones (open 小红书 and search, place an order, check nearby places on a map), or to check status, fetch result, cancel, or list a Mobile Use run. Requires one-time setup to store Volcengine AK/SK locally; ProductId and PodId can be saved as a default device during setup, the user prompt is provided per run. Supports optional GPS injection (GpsInfo) with user consent (auto-asked only for location-related tasks).
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 when creating or querying VCSDD Chainlink bead traceability. Provides bead creation patterns, chain traversal, and completeness 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。
Use the hyalo CLI instead of read/edit/grep/write when working with markdown (.md) files that have YAML frontmatter. This skill MUST be consulted whenever pi is working with markdown documentation directories, knowledgebases, wikis, notes, Obsidian-compatible collections, Zettelkasten systems, iteration plans, or any collection of .md files with frontmatter. Trigger this skill when: searching or filtering markdown files by content, tags, or properties; reading or modifying YAML frontmatter; managing tags or metadata across documents; toggling task checkboxes in markdown; getting an overview of a documentation directory; querying document properties or status fields; bulk-updating metadata across many markdown files; or when you find yourself repeatedly using read/edit/grep/write on .md files. Even if the user does not mention "hyalo" by name, use this skill whenever the task involves structured markdown documents with frontmatter. For pi sessions, ALWAYS use `--format text` for compact, LLM-friendly output.
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。
MITRE ATT&CK local dataset reference. Query techniques, groups, software, and mitigations from the local enterprise-attack.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 when you need deep host + certificate reconnaissance for an IP or need to run a Censys search query. Returns services, TLS certificates, ASN, and location. Free tier is severely limited (250 queries/month) — use sparingly. Retrieval only.
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 need to query a MISP instance for existing events/attributes/objects, or push new intel into MISP — adding attributes to an event, creating an event, or uploading a STIX 2 bundle as one or more events. Two-way integration. Commonly invoked by /ip-investigation and friends to check whether an indicator is already known to your CTI sharing community, and by analytical skills that want to publish their findings back to MISP. Reads $MISP_URL and $MISP_API_KEY.
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 need to query an OpenCTI instance — is this IOC already known, what entities/reports/campaigns exist for an actor — or push new intel into it — creating indicators/observables, labelling, TLP markings, relationships, or importing a STIX 2.1 bundle. Two-way integration. Commonly invoked by /ip-investigation and friends to check whether an indicator is already in your knowledge base, and by analytical skills that want to publish their findings back to OpenCTI. Reads $OPENCTI_URL and $OPENCTI_TOKEN.
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。
CrowdStrike Falcon Intelligence (Intel API) reference. OAuth2 auth, Falcon Query Language, indicator (IOC) lookups, threat-actor entities, intel reports, MITRE ATT&CK mappings, malware families, vulnerabilities, rule sets.
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 for a KQL query, a Microsoft Sentinel / Defender / Azure Log Analytics detection or hunt, or wants to translate a finding from `/hash-investigation` / `/malware-analysis` into KQL. Format spec + writing guide.
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 building self-correcting retrieval systems for AI agents. Keywords: RAG, retrieval, Corrective RAG, Self-RAG, query decomposition, reranking, hallucination, grounding.
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。
Work with MongoDB (document database, BSON documents, aggregation pipelines, Atlas cloud) and PostgreSQL (relational database, SQL queries, psql CLI, pgAdmin). Use when designing database schemas, writing queries and aggregations, optimizing indexes for performance, performing database migrations, configuring replication and sharding, implementing backup and restore strategies, managing database users and permissions, analyzing query performance, or administering production databases.
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。
Frontend development guidelines for React/TypeScript applications. Modern patterns including Suspense, lazy loading, useSuspenseQuery, file organization with features directory, MUI v7 styling, TanStack Router, performance optimization, and TypeScript best practices. Use when creating components, pages, features, fetching data, styling, routing, or working with frontend code.
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 knowledge graph for autonomous coding. Use when storing relationships, querying connected knowledge, building project understanding, or maintaining semantic memory.
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。
Native Linear integration using internal tracker tools. Supports issue querying, state transitions, and audit logging.
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 or improve a company-specific data analysis skill by extracting tribal knowledge from analysts. BOOTSTRAP MODE - → Discovers schemas, asks key questions, generates initial skill with reference files ITERATION MODE - → Loads existing skill, asks targeted questions, appends/updates reference files Use when data analysts want Claude to understand their company's specific data warehouse, terminology, metrics definitions, and common query patterns.
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 an interactive HTML dashboard with charts, filters, and tables. Use when creating an executive overview with KPI cards, turning query results into a shareable self-contained report, building a team monitoring snapshot, or needing multiple charts with filters in one browser-openable file.
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 publication-quality visualizations with Python. Use when turning query results or a DataFrame into a chart, selecting the right chart type for a trend or comparison, generating a plot for a report or presentation, or needing an interactive chart with hover and zoom.
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。