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概要と使いどころ
Discoverability shim for the Retail-Agentic-Commerce backend feature Codex skill. Use when writing or modifying Python backend code, routes, services, models, tests, or protocol logic.
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。
Discoverability shim for the Retail-Agentic-Commerce CVE remediation Codex skill. Use for CVE, BDSA, GHSA, OSV, Dependabot, Black Duck, Snyk, npm, PyPI, or package advisory remediation.
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。
Guide creation of new industry use cases for the Adobe Experience Platform blueprints repository. Use this skill when adding a new use case to an industry vertical (retail, automotive, healthcare, financial services, insurance, media & entertainment, telecommunications, travel & hospitality, B2B), when the user wants to add business scenarios to industry pages, or when updating the use case catalog. Handles the full workflow: gathering use case details, assessing maturity level, generating content, updating the industry overview page and use case catalog, and invoking the use-case-icon-generator skill for icon 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。
Template for packaging financial products with pricing, underwriting, and compliance details.
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 detection rules for a threat — SIEM queries, alert logic, and MITRE ATT&CK mapping. Use when asked to "write a detection rule", "how do we detect this attack", or "build a SIEM query for this TTP".
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 existing security controls and detection coverage — find gaps against MITRE ATT&CK. Use when asked to "audit our detection coverage", "where are our security control gaps", or "check our MITRE 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。
Write a hardening playbook for a system or service — CIS benchmark mapping and implementation steps. Use when asked to "harden this server", "apply the CIS benchmark", or "write a hardening playbook".
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。
Provides release management strategies including deployment patterns, version control, and rollback procedures. Use when planning releases, managing deployments, or when user mentions 'release', 'canary', 'blue-green', 'rollback', 'feature flag', 'release train', 'semantic versioning', 'changelog', 'migration'.
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。
Musical form and structural analysis covering binary, ternary, rondo, sonata, theme-and-variations, and popular song forms. Covers formal archetypes (AB, ABA, ABACA, sonata-allegro), 12-bar blues, arch form, minimalist process forms, strophic and through-composed designs, and formal analysis methodology for both score study and listening. Use when determining the structural plan of a piece, analyzing sectional relationships, or understanding how form shapes musical narrative.
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。
新号注册或老号解冻后做开业准备时用：装修Profile四要素（头像真人/昵称关键词+身份/简介价值承诺/背景图）→开蓝V(Premium)→养号3天只浏览→再发内容。Trigger："新号第一天""要不要开蓝V""怎么装修主页/头像/昵称/简介""新号怎么养号""day 1 new account""should I get Premium""set up profile""warm up account"。不适用：已运营账号日常发内容/没粉丝(→x-cold-start-playbook)、被限流封号后排查(→x-account-pitfalls)。
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。
Bluetooth Low Energy (BLE) integration for Zephyr RTOS. Covers GATT Services/Characteristics, GAP advertising, connection parameters, power optimization strategies, and the professional Send-When-Idle design pattern. Trigger when adding BLE connectivity, optimizing battery life for wireless devices, or implementing custom GATT profiles.
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。
Layer 1 - Data Acquisition for Bluesky/AT Protocol social graph and content.
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。
GTM prospecting, enrichment, outreach, and Deepline Play work/audits. Providers: adyntel,affinity,ai_ark,akta,allegrow,amplemarket,apify,attention,attio,aviato,bettercontact,bigquery,bluesky,bounceban,brave,browserbase,builtwith,cbinsights,clay,clickhouse,cloudflare,contactout,contextdev,crunchbase,crustdata-v3,customer_db,databricks,dataforseo,datagma,dealroom,deepline_ip_to_company,deepline_native,deeplineagent,discolike,dropleads,edges,emailbison,emailguard,enformion,enigma,exa,findymail,firecrawl,fireflies,firmable,forager,fullenrich,fundable,generic_http,getleads,gong,google_ads_audiences,google_workspace,govfiles,grain,hackernews,harvestapi,heyreach,hubspot,hunter,icypeas,instantly,intercom,ipqs,kaspr,kernel,leadmagic,lemlist,limadata,linkedin_ads_audiences,luma,lusha,meta_audiences,millionverifier,nooks,notion,openmart,opensosdata,openwebninja,outreach,parallel,peopledatalabs,pitchbook,podscan,polymarket,postgres,predictleads,prospeo,quickenrich,rapidapi,redshift,rocketreach,salesforce,salesforge,….
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。
Trigger when: (1) User wants to create an educational/explainer video, (2) User has a vague concept they want visualized, (3) User mentions "3b1b style" or "explain like 3Blue1Brown", (4) User wants to plan a Manim video or animation sequence, (5) User asks to "compose" or "plan" a math/science visualization. Transforms vague video ideas into detailed scene-by-scene plans (scenes.md). Conducts research, asks clarifying questions about audience/scope/focus, and outputs comprehensive scene specifications ready for implementation with ManimCE or ManimGL. Use this BEFORE writing any Manim code. This skill plans the video; use manimce-best-practices or manimgl-best-practices for 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。
Multi-platform content distribution across X, LinkedIn, Threads, and Bluesky. Adapts content per platform using content-engine patterns. Never posts identical content cross-platform. Use when the user wants to distribute content across social platforms.
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。
Trigger when: (1) User mentions "manimgl" or "ManimGL" or "3b1b manim", (2) Code contains `from manimlib import *`, (3) User runs `manimgl` CLI commands, (4) Working with InteractiveScene, self.frame, self.embed(), ShowCreation(), or ManimGL-specific patterns. Best practices for ManimGL (Grant Sanderson's 3Blue1Brown version) - OpenGL-based animation engine with interactive development. Covers InteractiveScene, Tex with t2c, camera frame control, interactive mode (-se flag), 3D rendering, and checkpoint_paste() workflow. NOT for Manim Community Edition (which uses `manim` imports and `manim` CLI).
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。
Launches and configures the standalone presubmit CLI, an API-driven adversarial peer-review pipeline with 30-plus stages, including Red Team finders, Blue Team defence, verification cascade, legal pass, and copyedit, producing one consolidated report on disk. Verifies installation and API key, chooses the output location and smoke, standard, or custom mode, launches the run, and reports the result path. Use when the user asks to run presubmit, wants a deep unattended pre-submission audit, or needs a math or replication-code audit. Everyday self-audits go to paper-review-lite, and external refereeing to journal-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。
Drafts a referee report for a journal editor. Produces a recommendation, claim-and-design summary, three to six decision-driving concerns, additional concerns, and a revision plan through five parallel adversarial finders, Breaker, Butcher, Shredder, Void, Situator, a Blue Team error filter, Chief Reviewer synthesis, Tone Guard legal pass, and optional confidential editor note. Use when the user has been asked to referee a manuscript. Self-audits go to paper-review-lite or presubmit, and author responses go to referee-response.
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。
Draft a referee report on someone else's manuscript for a journal editor, using five adversarial finders, a Blue Team error filter, a Chief Reviewer synthesis, and a Tone Guard legal pass. Use when the user has been asked to referee a manuscript; self-audits go to paper-review-lite or presubmit, author responses to referee-response.
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 topic-focused briefing in HTML from public news sources. Use when user asks for a briefing / observation / digest / 简报 / 观察 on any subject — region (Middle East, ASEAN, India), industry (semiconductors, EV supply chain, AI), policy issue (AI regulation, critical minerals, cross-border payments), institution (Fed, ECB, IMF), or theme. Output is a single self-contained HTML file with blue-color "TOPIC BRIEF" branding, optimized for both browser viewing and direct copy-paste into 微信公众号 / WeChat Official Account editor. Walks through 5 steps with one user confirmation midway. Do NOT use this skill for short summaries (<1000 字), single-piece news commentary, or already-defined report templates.
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。
Designs the cognitive blueprint of an agent before code 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。
Build an AEO-first topical map optimized for AI search citation — entity clusters, query fan-out coverage, information gain scoring, and multi-platform distribution. Produces entity map, content node architecture, schema blueprint, and 90-day publishing calendar. Use when "topical map", "content architecture", "site structure", "topic clusters", "pillar content plan", "AEO map", "AI search architecture", "entity map", "what content should we build", or any request to plan a site's topical structure for AI search visibility.
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。
Manages AWS CodePipeline stages and actions using AWS SDK for JavaScript (CodePipeline, CodeBuild, CodeDeploy APIs). Automates blue-green deployments and cross-account pipeline configurations.
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。
Orchestrates deployment pipelines using the Argo Workflows Engine API and Argo CD ApplicationSet controller. Implements progressive delivery with Argo Rollouts canary and blue-green strategies.
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。