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概要と使いどころ
Execute AWS Systems Manager Automation runbooks and Run Command documents using the SSM API and boto3. Supports cross-account execution, rate controls, and parameter store integration.
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Executes Ansible playbooks for server diagnostics and remediation using ansible-runner Python SDK. Supports inventory parsing, vault-encrypted credentials, and real-time task output streaming.
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 full-cycle enterprise sales strategist for B2B SaaS. Use when planning sales strategy, pipeline management, deal progression, account planning, competitive displacement, or territory optimization. Covers multi-threading, executive engagement, champion development, buying committee navigation, and complex deal orchestration. Use for enterprise selling, account expansion, land-and-expand, and quota attainment.
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Professional content generation with phased workflow (discuss→plan→execute→verify→ship), SEO optimization, and anti-AI auditing. Multi-profile support for unlimited brands. USE for: blog posts, LinkedIn, Twitter/X, Facebook, Instagram, email newsletters, landing pages, sales pages, case studies, product descriptions, SEO metadata. COMMANDS: /writer:discuss, /writer:plan, /writer:execute, /writer:verify, /writer:ship, /writer:next, /writer:profile-create, /writer:profile-list, /writer:profile-use, /writer:profile-view, /writer:profile-edit, /writer:status, /writer:help ALWAYS use for content requests like "write me a LinkedIn post" or "draft a blog article."
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 beautiful single-file HTML report from the project's docs/ folder. Works after any CRISP phase, after Archaeology, or at sprint close in Execute. Triggers on "generate report", "export docs", "create HTML report", "share docs", or automatically at sprint close in CRISP Execute.
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。
Automatically optimize AI agent credit usage by routing tasks to the most cost-efficient execution path. Use when you want to reduce AI API costs by 30-75% without quality loss, classify task complexity before execution, route simple tasks to free or low-cost models, split complex tasks into optimized sub-tasks, or detect vague prompts before wasting credits.
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。
Shell and session operations after an attack module already established command execution, a raw shell, webshell channel, container/runner shell, or remote session. This module does not own exploitation and should not pull SSH/WinRM/RDP authentication or vulnerability-to-shell chains out of Web/AD/Cloud/K8s/CI-CD/Service/Phishing. Use it to bootstrap a usable callback from existing command execution, stabilize Linux PTY, upgrade Windows sessions with ConPTY where applicable, manage listeners, recover fragile sessions, and exchange files for continued operations.
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。
Endpoint defense evasion after an operator-selected chain already has a valid execution path but AV/EDR/AMSI/WDAC/PPL/memory/kernel telemetry blocks the intended action. Originating modules include /web-attack /ad-attack /cloud-attack /k8s /cicd /service-attack /phishing /privesc-win /privesc-linux /creds /post /shell. Success is the blocked action becoming executable, then resume the originating module — not obtaining a shell here.
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。
HTTP/Web exploitation until a server shell or equivalent OS execution. Use after /web-recon has mapped the application. Covers injection, upload, LFI, SSRF/XXE, SSTI, deserialization, JWT/SAML, API logic, desync/cache/parser, and Web-controlled backend abuse. WAF stays here. Endpoint blocks after OS execution hand off to /edr-bypass then return. Direct non-HTTP service ports belong to /recon or /service-attack.
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。
Enforces decisive execution without confirmation requests; suppresses redundant explanations and prioritizes direct action.
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。
ai_plc_collection - AI-PLC Stage 1。Execution Contextを確立し、外部・内部情報源からコンテキストを収集・構造化する。
【実験版・Jev監視つき】ai_plc_collection - AI-PLC Stage 1。Execution Contextを確立し、外部・内部情報源からコンテキストを収集・構造化する。
AI-PLC Stage 1 Collection。GoalとModeからExecution Contextを確立し、Context Store、intent.yaml、context.yaml、backlog.yamlを生成する。
Executes diagnostic investigation tasks to test debugging hypotheses. Runs tests, traces execution, checks git history, and reports evidence. (converted from agent)
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。
Execute pending tasks in dependency order with wave-based concurrent execution via Agent 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。
Coordinates buy-side deal execution from LOI through closing with workstream tracking, timeline management, and closing conditions. Use when managing deal processes, tracking closing conditions, or coordinating deal teams.
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Structures post-offering stabilization with overallotment option exercise, market support, and penalty bid mechanisms. Use when managing stabilization, exercising greenshoe options, or analyzing aftermarket support.
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Structures direct listing execution with opening auction mechanics, reference price methodology, and market maker coordination. Use when executing direct listings, analyzing DL mechanics, or comparing DL vs IPO economics.
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Evaluates assumption, rejection, and assignment decisions for executory contracts and unexpired leases in bankruptcy. Use when analyzing contract decisions, evaluating lease rejections, or modeling cure cost exposure.
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Evaluates ERISA plan asset rules with 25% test, VCOC/REOC exemptions, and benefit plan investor tracking. Use when analyzing ERISA compliance, structuring plan asset exemptions, or managing benefit plan investor thresholds.
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。
Execute plans via autonomous agents with two-stage review per task. Use for complex implementations requiring quality gates.
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。
Post-implementation QA planning — independent of /review (the developer chooses whether to run them sequentially or in parallel), only when the change has a running surface worth driving. Interviews the developer to turn the specs and the diff into an executable QA specification (specs/qa/QA-<N>-<slug>.md) that /execute-qa runs. The agent drives browser and shell; the human steps in only at named handoff points. Use only when the user asks to plan manual QA — never trigger 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。
Execute detailed plans in batches with review checkpoints
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 a repository's type system and generate type-safe DAG execution pipelines with GraphSentry-style certificate verification. This skill should be used when building LLM-driven workflows that need deterministic type safety, when composing typed operations into validated execution graphs, or when adding contract-checked pipeline orchestration to any codebase. Supports Python (Pydantic) and TypeScript (Zod).
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。