「categorization」の検索結果

Browse Bluesky content via API and firehose - search posts, fetch user activity, sample trending topics, read feeds and lists, analyze and categorize accounts. Supports authenticated access for personalized feeds. Use for Bluesky research, user monitoring, trend analysis, feed reading, firehose sampling, account categorization.

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。

Builds comprehensive Claude Code skills using parallel research agents — categorization, parallel documentation gathering, anti-hallucination checkpoints, and final validation. Use when building a skill from official docs, when "research for skill" or "create comprehensive skill" is requested, or when extensive multi-source documentation gathering is needed before skill creation.

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 git branches and generate structured MR/PR descriptions with domain-based change categorization — bug fixes, enhancements, technical debt, documentation, testing, build/CI, and non-functional changes. Use when preparing merge request descriptions, pull request bodies, writing changelogs from git diffs, documenting branch changes, or generating release notes. Works with GitHub and GitLab without requiring JIRA or issue tracker integration.

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。

Maintain a changelog following Keep a Changelog format. Covers entry categorization (Added, Changed, Deprecated, Removed, Fixed, Security), version section management, and unreleased tracking. Use when starting a new project that needs a changelog, adding entries after completing features or fixes, preparing a release by promoting Unreleased entries to a versioned section, or converting a free-form changelog to Keep a Changelog format.

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 AI expense categorization. TRIGGERS - Use when user needs help with ai-expense-categorizer 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。

"Apply Social Identity Theory to analyze how group categorization, identification, and intergroup comparison drive behavior, bias, and conflict. Use this skill when the user needs to explain in-group favoritism or out-group hostility, diagnose organizational silo dynamics, design inclusive team structures, or when they ask 'why do groups polarize', 'how does team identity affect collaboration', or 'what drives us-vs-them thinking'.".

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。

Audit personal finance and budgeting app spending intelligence features. Triggers: you need to evaluate transaction categorization accuracy (MCC mapping, ML classification, merchant matching).

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。

Audit manufacturing production optimization systems for OEE (Overall Equipment Effectiveness) calculation accuracy, Six Big Losses categorization, job shop and flow shop scheduling algorithms (LP, MIP, constraint programming, genetic algorithm), Theory of Constraints bottleneck detection.

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 bookkeeping automation systems for transaction categorization, bank reconciliation, AP/AR efficiency, chart of accounts optimization, and month-end close using GAAP and double-entry accounting 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。

Query and manage personal finances via the official Actual Budget Node.js API. Use for budget queries, transaction imports/exports, account management, categorization, rules, schedules, and bank sync with self-hosted Actual Budget 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。

Summarizes raw background check data into structured executive reports with risk categorization (GREEN/YELLOW/RED). Use when processing criminal records, court filings, employment/education verification, sanctions screening, or adverse media for pre-employment screening, executive due diligence, or investment-grade investigations.

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 AI chatbot analytics and conversation monitoring. Use when adding conversation metrics, tracking AI usage, measuring user engagement with chat, or building conversation dashboards. Activates for AI analytics, token tracking, conversation categorization, and chat performance.

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。

This skill guides postoperative management after Cushing's syndrome surgery by classifying patients into hypocortisolism, hypercortisolism, or eucortisolism based on serum cortisol levels. Use when postoperative cortisol is <5 µg/dL (hypocortisolism), >20 µg/dL (hypercortisolism), or 5-20 µg/dL (eucortisolism) to direct glucocorticoid replacement, further treatment, or monitoring.

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。

Knowledge base from NIST SP 800-37 Revision 2, the Risk Management Framework (RMF) for information systems and organizations. Use for the seven RMF steps (Prepare, Categorize, Select, Implement, Assess, Authorize, Monitor) and their tasks; the three-tier organization-wide risk model; authorization boundaries; the requirements-to-controls relationship; security categorization (FIPS 199/200 high-water mark) and control selection/tailoring (SP 800-53/53B baselines); assessment, the authorization decision and risk acceptance, continuous monitoring and ongoing authorization; the security/privacy distinction; and supply chain risk management. This is the security-and-privacy-risk-governance edge of systems engineering — it governs how much protection and whether to accept residual risk, complementing the disciplines that decide how protection is built. Does NOT reproduce the SP 800-53 control catalog or its baselines, the FIPS impact tables, or the ISO/IEC/IEEE 15288 process text; it names and routes to them rather than restating them.

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。

Small-business bookkeeping skills for converting financial evidence into accountant-reviewable outputs, including setup/context, receipt processing, expense categorization, bank reconciliation, tax preparation, monthly close, jurisdiction-aware tax references, plus specialized skills for home office, vehicle, meals, depreciation, 1099 contractors, and estimated taxes. Trigger on "help me with my bookkeeping", "set up my bookkeeping", "bookkeeping context", "chart of accounts", "process my receipts", "categorize expenses", "reconcile my bank statement", "get my books ready for taxes", "close the month", "organize my finances".

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 working with Blameless — blameless incident management, SLO tracking, retrospectives, and reliability insights. Covers incident lifecycle, blameless retrospective facilitation, follow-up tracking, reliability scorecards, and incident type categorization. Use when managing active incidents, conducting retrospectives, tracking SLO compliance, or analyzing reliability trends in Blameless.

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 working with Bmc Helix — bMC Helix ITSM platform management covering incident management, problem management, change management, and CMDB operations. Use when creating or updating incidents with categorization and assignment, managing problem investigation workflows, processing change requests through CAB approval, or querying CMDB for infrastructure configuration items and relationships.

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 for auto error capture, categorization and skill gen.

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 AI expense categorization. TRIGGERS - Use when user needs help with ai-expense-categorizer 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。

Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.

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 and manage personal finances via the official Actual Budget Node.js API. Use for budget queries, transaction imports/exports, account management, categorization, rules, schedules, and bank sync with self-hosted Actual Budget 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。

Handles comprehensive resource acquisition, categorization, and asset management. Adaptive to various sources (URLs, PDFs, local paths) and centralizes media in a lowercase 'assets' folder.

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 AI chatbot analytics and conversation monitoring. Use when adding conversation metrics, tracking AI usage, measuring user engagement with chat, or building conversation dashboards. Activates for AI analytics, token tracking, conversation categorization, and chat performance.

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。