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概要と使いどころ
Expert knowledge synthesizer specializing in extracting insights from multi-agent interactions, identifying patterns, and building collective intelligence. Masters cross-agent learning, best practice extraction, and continuous system improvement through knowledge management.
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 and maintain a provenance-clean proof library — inventory every real proof asset (analytics, reviews, permitted testimonials, case studies, press, certifications), categorize it, rewrite each cleared item in 3 lengths, fuse top assets with narrative, and gate everything through FTC testimonial rules before it can ship. Use when "proof library", "gather our proof", "authority builder", "collect testimonials", "social proof assets", "proof points for the sales page", "what results can we claim", or any request to assemble evidence for marketing claims. NEVER invents proof — missing proof is reported as a gap.
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 brand intelligence pulse - collect cited public reputation evidence across web, news, YouTube, X, LinkedIn, Reddit, and review sites, then turn it into objection mining, content angles, competitor positioning, and surround-sound actions. Use when "brand monitor", "brand pulse", "what are people saying about us", "multi-platform reputation", "brand intelligence", "weekly brand monitoring", "objection mining", or "public reputation scan".
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。
Two-layer funnel audit on collected data only — stress-test the awareness layer (hooks, messaging, proof placement, attention leaks on live pages and ads) and the lead-capture layer (opt-ins and lead magnets scored on the four Value Equation variables, friction findings, weakest-magnet rewrite), plus a phone-path check under the Phone Capture Fit Rule. Use when "funnel audit", "audit my funnel", "why is my funnel leaking", "top of funnel isn't converting", "audit our lead magnets", "opt-in audit", "awareness to lead audit", "where are we losing people", "lead capture audit", or any request to diagnose the full awareness-to-lead flow rather than one page.
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 the Tuesday delivery review for Stella — collect the week's merged PRs, reconcile them against the Feishu task table, create or refresh tasks, and report what shipped. Use when the user says "跑周报", "weekly delivery", "本周交付", "补飞书任务", or asks what merged in a given week.
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。
Bruno is an open-source, offline-first API client that stores collections as plain-text .bru files on your filesystem. It serves as a privacy-focused, git-friendly alternative to Postman and Insomnia with no cloud sync and no account 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。
Manage and tag music libraries with beets, the Python-based CLI tool that auto-tags audio files using MusicBrainz metadata. Import, organize, deduplicate, and query your music collection with a powerful plugin system and flexible query language.
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。
The official AWS Labs MCP server collection provides AI agents with structured access to AWS documentation, service APIs, billing data, and infrastructure metadata through the Model Context Protocol, built and maintained by AWS for secure cloud automation 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。
Assess a public HTTP(S) page before building browser automation, extraction, or an integration. Use this skill to collect bounded structural evidence, readiness signals, risk flags, acceptance tests, and remediation priorities without sending credentials or accessing private targets.
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。
Executes automated diagnostics using the AWS Systems Manager Automation API and SSM Documents. Collects system metrics via the CloudWatch GetMetricData API and correlates with AWS Health events.
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。
Validates Ansible playbooks using ansible-lint and the Ansible Galaxy API. Performs check-mode dry runs, validates role dependencies, and detects deprecated module usage across collections.
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。
Generates and validates Ansible playbooks from infrastructure requirements. Uses ansible-lint for validation and queries Ansible Galaxy API for discovering certified roles and collections.
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。
Runs Ansible diagnostic playbooks using ansible-runner and the Ansible Collections ecosystem (ansible.builtin, community.general). Captures system health, service status, and log analysis across inventory hosts.
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。
Validates Ansible playbooks using ansible-lint with custom rule plugins and the Ansible Collections API. Checks for deprecated modules, missing handlers, insecure variable practices, and role dependency conflicts.
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。
Diagnoses Ansible playbook failures using ansible-playbook --check --diff mode, ansible-lint, and the Ansible callback plugin API. Parses task execution results and suggests fixes for common module errors in ansible.builtin and community collections.
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。
OS post-exploitation after a stable host foothold: quiet host recon, host-native persistence (Windows Run/tasks/services/COM/WMI and Linux SSH/cron/systemd/SUID), long-term C2 (Sliver primary, Mythic/Havoc optional), targeted collection and exfil, and engagement cleanup. Does not own AD/cloud/K8s native persistence, Ligolo pivoting, LSASS dumping, or EDR bypass. Operator selects objectives; success is a live callback, verified persistence, delivered loot, or restored host — not generating an unused implant.
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。
当 Bensz Agent Skill 或基础设施本身因设计缺陷出现问题，或用户明确要求记录/上报此类 bug 时使用。⚠️ 不适用：用户数据错误、第三方服务故障、用户主动改源码或模型偶发波动。
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。
Astro framework patterns and best practices for content-focused sites. Trigger: When working with .astro files, content collections, or Astro routing.
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 when the user says 'plan a campaign', 'promote this product', 'write the copy for our sale', 'what should we push this month', or 'draft the launch for this collection'. Reads what the store actually sells, drafts the campaign around it, and stages every page and product change for 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。
Rates any SKILL.md on a 0-100 scale across 10 dimensions with a SHIP / REWORK / SCRAP verdict. Evaluates trigger precision, instruction clarity, output predictability, edge case coverage, anti-hallucination guardrails, developer experience, composability, open-source readiness, wow factor, and real-world utility. No flattery — calibrated against Anthropic's own skill-creator rubric. Use this skill whenever someone says "score this skill", "rate my skill", "is this skill good", "skill review", "skill audit", "roast my SKILL.md", "grade this", "will this skill work", "evaluate my skill", "how good is this", or pastes a SKILL.md and asks for feedback. Also trigger when comparing two skills, benchmarking a skill collection, or asking "what's wrong with this skill" — even without the word "score".
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。
Operate Milvus vector database with pymilvus Python SDK. Use when the user wants to connect to Milvus, create collections, insert vectors, perform similarity search, hybrid search, full-text search, manage indexes, partitions, databases, or RBAC via Python code.
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。
Orchestrate multi-LLM parallel debate and synthesis. Dispatches prompts to available omega CLI wrappers in parallel, collects independent responses, runs anonymized peer review ranking, and synthesizes via a chairman model. Supports collaboration templates, idle watchdog, inter-agent messaging, worktree isolation, and multi-turn sessions. No server 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。
Astro framework expert including components, content collections, and integrations
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 a frozen workflow contract and collect evidence by implementing only approved scope/files and checks. Use when PLAN_FROZEN=true and Execution Contract is complete, then hand off to 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。