1.5万 件 ・ 関連度順
概要と使いどころ
Show the operator's day: today's calendar plus what needs them personally (leads due, people awaiting a reply, deadlines), pulled from Calendar and Telegram and ranked. Read-only: sends and commits nothing. Triggers: "/agenda", "what's on today", "my agenda".
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 native Worktrunk commands for explicit Git worktree operations when requested. Distinguish repository selection from worktree selection, and inspect command help before changing configuration or hooks.
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。
Track vendor support tickets and RMA cases across multiple vendors. Use when managing support ticket lifecycle, updating ticket status from vendor emails, generating status reports, or identifying tickets needing follow-up.
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。
Track and correlate events across multiple timezones with automatic conversion. Use when analyzing distributed system incidents, coordinating cross-regional operations, or creating time-normalized reports from logs/events spanning PST/CST/EST/JST or other timezones. Handles daylight saving transitions automatically.
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 should be used when creating RFQ (Request for Quotation) documents for software development projects to send to vendors. Use this skill when you have received vague requirements from clients and need to structure them into clear, comprehensive RFQs that enable vendors to provide accurate estimates. Supports Japanese (default) and English, with systematic requirements elicitation, clarification, and markdown-formatted 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。
Cross-reference project artifacts (WBS, meeting minutes, requirements docs) by date, participant, and action items. Extract commitments from meeting minutes and link to WBS tasks. Generate traceability reports showing which decisions were captured in which documents.
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。
Prepare comprehensive meeting assets including agendas, reference materials, decision logs, and action items. Use when user says "prepare meeting", "create agenda", "meeting prep", "会議準備", or needs bilingual (Japanese/English) meeting documentation for cross-regional teams. Triggers include requests for decision log templates, action item tracking, or compiling reference materials from project estimates and specs.
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 new Claude skills from structured idea specifications. Use when the skill auto-generation pipeline needs to produce a Claude CLI prompt that creates a complete skill directory (SKILL.md, references, scripts, tests) following repository conventions.
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。
Mine Claude Code session logs for skill idea candidates. Use when running the skill generation pipeline to extract, score, and backlog new skill ideas from recent coding sessions.
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 should be used when analyzing bug ticket data to identify quality trends, assess software quality status, and provide improvement recommendations. Use when a user provides bug lists (CSV, Excel, JSON, or Markdown format) and needs comprehensive quality analysis from a QA manager perspective. Generates statistical analysis, identifies quality hotspots, provides actionable recommendations, and produces professional Markdown reports suitable for project managers and executive leadership. Ideal for IT system development, migration, and implementation projects.
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 QR code images from text, URLs, or contact information using Python's qrcode library. Supports customization (size, margin, color, error correction) and batch 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 formal IT/hardware purchase request documents from informal requirements. Use when creating purchase justifications, cost-benefit analyses, ROI calculations, vendor comparisons, or MARP presentation slides for management approval.
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。
Expert guidance for Salesforce Flow implementation from design through deployment. Use this skill when building Screen Flows, Record-Triggered Flows, Schedule-Triggered Flows, or Autolaunched Flows. Covers Flow design patterns, metadata XML generation, variable/element reference validation, governor limit optimization, and sf CLI deployment. Critical for preventing reference errors (undeclared variables, invalid element references) and deployment failures. Use when creating new Flows, debugging Flow errors, optimizing Flow performance, or deploying Flows to 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。
Unified document optimization skill that chains docling-converter, imagemagick-expert, and markdown-to-pdf. Automatically detects input format, applies appropriate conversion pipeline, optimizes embedded images, and produces web/print-ready output with configurable quality presets. Use when converting documents through multi-step pipelines, optimizing PDF images, creating print-ready documents from various sources, or batch processing documents with image optimization.
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 network device logs to identify connectivity issues, latency problems, and outages. Correlate timestamps across timezones, detect anomaly patterns, and generate incident reports with root cause hypotheses. Use when troubleshooting network incidents from log files.
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 you need to review presentation materials from an audience perspective to improve their quality and effectiveness. Evaluates content clarity, visual design, logical flow, engagement factors, and Marp technical compatibility. Triggers include "review my presentation", "check my slides", "presentation feedback", or when a user has completed a draft presentation and wants comprehensive quality 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。
Generate audit-ready internal control design documents from As-Is business process inventories. Produces control IDs, assertion mappings, procedures, SoD analysis, KPIs, materiality thresholds, and implementation roadmaps. Use when building internal controls for new audit engagements, SOX/J-SOX compliance, or process improvement initiatives.
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。
Comprehensive data science workflow skill for analyzing tabular and time series data. Use when conducting exploratory data analysis, building predictive models, performing feature engineering, or generating data-driven insights. Supports end-to-end analysis from data understanding through model deployment, following industry best practices for regression, classification, time series forecasting, and statistical analysis.
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。
input/files内のファイルを読み込んで企画案を作成するコマンド
Use when designing, implementing, reviewing, debugging, testing, profiling, or porting concurrent, parallel, distributed, high-performance, network dataplane, kernel-bypass, or real-time software, including locks, semaphores, monitors, MPI, CSP rendezvous, DPDK, VPP, eBPF, XDP, AF_XDP, SR-IOV, RSS, RoCEv2/RDMA, RMS/EDF, priority inversion, and environment selection from silicon to edge.
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 OpenVEX / CycloneDX VEX attestations from `.vulnetix/memory.yaml` triage decisions, optionally sign with cosign, optionally upload to Vulnetix and post to a GitHub PR. Use when documenting triage decisions for supply-chain consumers, attaching VEX to a CycloneDX SBOM, or satisfying customer attestation requests.
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。
Show what this repository has already decided about its vulnerabilities, read from the durable record rather than by scanning again — open versus resolved, the decision taken on each, and what is still waiting. Use when picking up triage after a break, auditing past decisions, onboarding to a repository with security history, or checking nothing high-severity is open before a release.
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 look-alike audience from a seed audience and a candidate population dataset. Classifies Rosetta Stone attributes, generates the same materialized-view scoring pipeline Lookalike Studio emits (Naive-Bayes categorical weights + Gaussian continuous similarity), gates on approval, submits via `narrative_workflows_create`, and monitors the build to completion. Use when: "create a lookalike audience", "find more users like this segment", "expand my seed audience to 500k similar users", "score the population against my customers", "build a look-alike of dataset X". (narrative-audience)
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。
Pick one open GitHub issue off this repository's queue, implement the fix, and open a pull request for it. One issue and one PR per run. Use when the user asks to burn down the issue backlog, or when the issue-burndown workflow invokes it. It never merges, never closes an issue, never edits .github/workflows/, and never acts on an issue from outside the organisation unless a maintainer has opted it in.
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。