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概要と使いどころ
Weekdays, heavy browser lane. Reads the member's own signal sources and saved searches, captures dated buying signals together with the contactable people attached to them, and appends both to the ledgers the outreach queue reads. Read only on every people surface, LinkedIn included. It holds every outbound action unless you released the channel, and it never touches a credential.
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。
Weekdays, heavy browser lane. Reads the member's own saved searches and the named sources for one buyer segment, captures candidate accounts together with the contactable people attached to them, scores every row against the named tests in the qualification file, and writes each one with the evidence that qualified it. Read only on every people surface, LinkedIn included. It holds every outbound action unless you released the channel, and it never touches a credential.
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。
A set of resources to help me write all kinds of internal communications, using the formats that my company likes to use. Claude should use this skill whenever asked to write some sort of internal communications (status reports, leadership updates, 3P updates, company newsletters, FAQs, incident reports, project updates, etc.).
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 any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like "the xlsx in my downloads") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.
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。
Analyzes your recent Claude Code chat history to identify coding patterns, development gaps, and areas for improvement, curates relevant learning resources from HackerNews, and automatically sends a personalized growth report to your Slack DMs.
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。
Investigate questions using high-trust primary sources and traceable citations. Use when the user asks for research, current documentation or API facts, source verification, or evidence-backed comparison.
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 new agent skills with proper structure, progressive disclosure, and bundled resources. Use when user wants to create, write, or build a new skill.
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。
Prepares and verifies schema migrations, database roles and isolated recovery or test resources; not query tuning or runtime mutation orchestration.
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 REST endpoints with API Resources, Sanctum authentication, and versioned route groups in Laravel. Use when creating JsonResource classes, adding token-based auth, or defining rate-limited API routes.
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。
Organize Android strings, drawables, fonts, themes, localization, and concrete resource-backed Compose values such as MaterialTheme colors. Use for resource declarations and their direct UI lookup; defer design-system token architecture, network image loading, lint-rule configuration, and general Compose implementation.
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。
把长视频按 Agent 选择的原片区间剪成短片。作为两阶段创作流程中的剪辑环节，读取 clip_plan.json 与源视频， 输出 edited_source.mp4；随后 Agent 按输出时间线写 narration.json。支持单视频与多视频（sources manifest）拼剪， 本工具不读取、不映射旁白。 触发词：视频剪辑、剪辑式解说、video cut、clip plan、拼剪。
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。
Moves audio files to the correct album location with proper path structure. Use when the user has downloaded WAV files from Suno or other sources that need to be organized.
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。
Researches investigative articles, interviews, and news coverage. Use when research needs journalistic sources for cross-referencing or additional context.
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。
Validates all pre-generation gates before sending tracks to Suno. Checks sources verified, lyrics reviewed, pronunciation resolved, explicit flag set, style prompt complete, and artist names cleared. Use before generating tracks on Suno or when the user says "pre-gen check" or "ready to generate".
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。
Researches DOJ/FBI/SEC press releases, agency statements, and government sources. Use when research needs official government records or agency documentation.
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。
Researches malware analysis, CVEs, attribution reports, and hacker community sources. Use when the album subject involves cybersecurity incidents or threat actors.
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。
Performs quality control, citation validation, and fact-checking before human review. Use after research is complete to verify all sources and claims before production.
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。
Searches and retrieves documents from free public sources using automated browser navigation. Use when research needs primary source documents like court filings, government reports, or public records.
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。
Managing cloud infrastructure using declarative and imperative IaC tools. Use when provisioning cloud resources (Terraform/OpenTofu for multi-cloud, Pulumi for developer-centric workflows, AWS CDK for AWS-native infrastructure), designing reusable modules, implementing state management patterns, or establishing infrastructure deployment workflows.
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。
Operating production Kubernetes clusters effectively with resource management, advanced scheduling, networking, storage, security hardening, and autoscaling. Use when deploying workloads to Kubernetes, configuring cluster resources, implementing security policies, or troubleshooting operational issues.
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。
Data ingestion patterns for loading data from cloud storage, APIs, files, and streaming sources into databases. Use when importing CSV/JSON/Parquet files, pulling from S3/GCS buckets, consuming API feeds, or building ETL pipelines.
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 a `source-tutorial` workspace has ingested sources and needs a grounded tutorial contract before structure planning.
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。
Conduct comprehensive AI-powered research with citations via the Tavily CLI. Use this skill when the user wants deep research, a detailed report, a comparison, market analysis, literature review, or says "research", "investigate", "analyze in depth", "compare X vs Y", "what does the market look like for", or needs multi-source synthesis with explicit citations. Returns a structured report grounded in web sources. Takes 30-120 seconds. For quick fact-finding, use tavily-search 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。
Search the web with LLM-optimized results via the Tavily CLI. Use this skill when the user wants to search the web, find articles, look up information, get recent news, discover sources, or says "search for", "find me", "look up", "what's the latest on", "find articles about", or needs current information from the internet. Returns relevant results with content snippets, relevance scores, and metadata — optimized for LLM consumption. Supports domain filtering, time ranges, and multiple search depths.
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。