「action」の検索結果

Set up mobile CI/CD pipelines for Flutter, React Native, or native iOS/Android — GitHub Actions workflows for testing, code signing, TestFlight/Play Store distribution, build number management, Fastlane integration, and artifact retention

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。

Autonomous competitive analysis and feature discovery pipeline. Runs /compete and /new-features on each project, produces actionable market positioning insights. Schedule daily or weekly.

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。

Convert any pile of documents (PDF, Word, HTML pages, wiki exports, PowerPoint slides) into clean, LLM-ready markdown context: inventories the sources, picks the right extractor per file type (pdftotext or PyMuPDF for PDF, pandoc or mammoth for docx, readability extraction for HTML.

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。

Publishes structured, actionable artifacts from Claude Code sessions — PR walkthroughs, incident timelines, system explainers, release checklists, and security audits.

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。

Evaluate survey data pipelines and research methodology. Analyzes response bias detection (speeders, straight-liners, bots), statistical significance testing (t-test, chi-square, ANOVA with Bonferroni correction), sentiment and theme extraction from open-ended responses.

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。

Ship an app from code to production-ready infrastructure: containerize with Docker and multi-stage builds, set up GitHub Actions CI/CD with automated testing and deployment, add monitoring with health checks and alerting, then run preflight verification..

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。

Reconstructs the development cycle from git history, distills sequential/parallel patterns, and produces actionable insights for improving future iterations. Triggers: recall, retrospective, development analysis, what happened, dev cycle 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。

Audit financial reconciliation workflows -- evaluate automated transaction matching engines, intercompany balance reconciliation, suspense and clearing account health, variance root-cause investigation, and close calendar 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。

Generate an ASC 606 / IFRS 15 revenue recognition engine for SaaS — the five-step model (identify contract, identify performance obligations, determine transaction price, allocate to performance obligations, recognize as POs are satisfied) applied to subscription contracts.

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 risk simulation and decision support systems for Monte Carlo modeling quality, wargaming analysis, threat assessment, mission planning support, and course-of-action decision 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。

Audit a resume builder or optimization tool for ATS compatibility, keyword matching accuracy, formatting standards, achievement quantification, skill extraction, and job-description alignment scoring. Use when reviewing resume software, career platforms, applicant tracking integrations, CV generators, or job application tools.

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 commercial lease optimization software -- lease abstraction quality, rent optimization (market comparison, net effective rent, blend-and-extend modeling), ASC 842/IFRS 16 accounting compliance (ROU assets, lease liabilities, discount rate methodology, modification remeasurement).

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 medical billing and revenue cycle management software including claims processing pipelines, EDI transaction handling (837P/837I/835/270/271/276/277), ICD-10 and CPT code validation with NCCI edit checking, payer rules engine configuration, denial management and appeal 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。

Analyze medication adherence and management platforms including dose tracking accuracy (MPR, PDC metrics), drug-drug and drug-food interaction checking completeness, refill prediction algorithms, dosage schedule optimization with conflict 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。

Map a cloud system against NIST SP 800-53 Rev. 5 + FedRAMP baselines to produce the documentation an authorization needs — System Security Plan (SSP), Control Implementation Summary (CIS), Plan of Action and Milestones (POA&M), Continuous Monitoring (ConMon) Plan..

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 commercial lease compliance systems -- CAM reconciliation accuracy (pro-rata share, caps, admin fees), lease abstraction completeness, critical date tracking and deadline alerting, clause compliance monitoring (insurance certificates, permitted use, co-tenancy).

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 a production-grade KYC / AML / sanctions screening pipeline for customer onboarding, transaction monitoring, and ongoing review. Triggers: "KYC", "AML", "OFAC", "sanctions screening", "PEP".

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。

Extract a structured abstract from a commercial lease PDF — tenant/landlord identification, premises description + RSF/USF, lease term + commencement/expiration, renewal options (count, notice windows, fair-market rent reset), base rent schedule + escalations (fixed %, CPI-linked.

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 e-discovery and litigation document review systems -- data collection pipelines (PST, MBOX, SharePoint, Slack), document processing (OCR via Tesseract/ABBYY, metadata extraction, deduplication), Technology Assisted Review (TAR 1.0/2.0/CAL with recall/precision tracking).

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。

Evaluate elder care fall risk prediction systems including wearable sensor integration, gait and balance analytics, risk scoring algorithms, environmental hazard detection, medication interaction flagging, mobility trend tracking, and alert/response workflow effectiveness.

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 ML experiment tracking infrastructure for reproducibility gaps, parameter logging completeness, metric capture, artifact management, and pipeline orchestration. Covers MLflow, Weights and Biases, DVC, Sacred, Neptune, Hydra configs, model registries, and produces a reproducibility scorecard (0-30) with actionable fixes for data science 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。

Analyze fraud detection systems including rule engines, ML scoring models, real-time transaction monitoring, alert triage workflows, false positive management, SAR/CTR regulatory reporting, adversarial robustness testing, and adaptive retraining pipelines for payment fraud, account takeover, identity theft, and AML compliance.

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。