1.5万 件 ・ 関連度順
概要と使いどころ
Generates structured engineering specs (backend or frontend) from feature descriptions, designs, or ticket references. Triggers on "spec", "story", "ticket", "engineering spec", "write a story for", "write a spec for", "create a ticket for".
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。
Full story lifecycle — review, implement, and PR. Takes a story from architecture review through implementation to pull request 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。
Generate OpenAPI 3.1 documentation from your API codebase. Auto-detects Express, Fastify, NestJS, Django, FastAPI, Flask, Rails, Spring, Go, and more. Triggers: you need API documentation, OpenAPI spec, Swagger docs, endpoint reference, or REST API docs.
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。
Generate or update CHANGELOG.md from git history. Parses conventional commits, groups by version tags, categorizes into Added/Fixed/Changed/Breaking sections using keep-a-changelog format, and creates comparison links. Use when you need to create a changelog, update release notes, document version history, or prepare release 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。
Provision free LLM API keys from 20+ providers. Health-checks existing keys, opens signup pages, validates new keys, and saves them to your project.
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 Excalidraw architecture diagrams (.excalidraw JSON files) from your codebase. Triggers: you need whiteboard-style sketches that read as a thinking artifact rather than a polished spec — ideal for design.
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 a full retrospective and dev cycle analysis. Chains /recall → /new-features to reconstruct what went wrong, extract lessons learned, identify rework patterns, and synthesize feature ideas from the findings. Triggers: retrospective, retro, dev cycle analysis, what went wrong, lessons learned, postmortem, sprint retro.
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。
Chains /mvp → /spec — analyzes an app from video/screenshots/description, then generates implementation stories. Triggers: analyze and spec, product analysis to stories, app teardown to specs, full analysis pipeline, mvp to spec.
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。
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。
Multi-carrier shipping rate comparison and label-generation pipeline — real-time quotes from USPS, UPS, FedEx, DHL via direct carrier APIs OR aggregators (Shippo / EasyPost / ShipStation / Pirate Ship)..
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 a production-ready data API from scratch: scaffold REST endpoints with models and validation, generate integration tests that verify every route, then load test for scalability. Use when you need an API backend, data service, CRUD layer, or microservice with verified correctness and 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。
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。
Audio file → full publishing kit pipeline. From a single .mp3 or .wav per episode, generates Whisper-large-v3 transcript with word-level timestamps, automatic chapter detection (audio scene change + topic shift), two show-notes lengths (scannable summary + long-form SEO).
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。
Computes development quality and velocity metrics from git history and tracks improvement over time. Measures fix ratios, rework hotspots, test coverage, DORA metrics, and code churn.
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。
Generate and maintain a multi-channel product feed across Google Merchant Center, Meta Catalog (Instagram + Facebook Shops), TikTok Shop, Pinterest Catalogs, Bing Shopping, and Snapchat Catalogs from a single product source of truth (Shopify, BigCommerce, WooCommerce, custom DB)..
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 OEE (Overall Equipment Effectiveness) measurement pipeline for a manufacturing line — data ingestion from MQTT/OPC-UA/Modbus/CSV, A×P×Q calculation engine, Six Big Losses categorizer, MTBF/MTTR/TEEP metrics, Grafana or Streamlit dashboard.
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。
Multi-pass editor that removes AI-writing tells from drafted content — eliminates filler phrases, balances sentence length, restores opinion and voice, and strips em-dash overuse so posts sound human and opinionated rather than ChatGPT-generic..
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 disaster prediction and early warning systems — model accuracy for flood, earthquake, wildfire, hurricane, and tsunami hazards, data pipeline reliability from sensor networks and satellite feeds, alert distribution latency and channel coverage.
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 any product from a Customer Success Manager perspective -- evaluate onboarding flow completeness, self-service help infrastructure, customer health signal tracking, support channel accessibility, expansion and retention triggers, and customer communication systems.
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。
Deep cross-layer consistency audit for any codebase. Traces every feature from UI to database, finds broken wiring, missing handlers, model mismatches, and security gaps. Auto-fixes critical and warning issues. Use this after building features, before releases, or whenever something feels off. Works with any tech stack.
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 CNC-ready modular, interlocking, flat-pack furniture and functional objects from sheet materials (plywood, MDF, acrylic) with slot/tab joinery, precise tolerances, full parts lists, cut layouts, assembly instructions, and CAD export guidance — no fasteners required.
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。