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AI Agent Workflow Collection

Skill pack
9 skills0 selected
dtsongSkills in this pack

Design Looker Studio reports and dashboards. Use when creating Looker Studio reports, designing data sources, or writing visualization specifications. Trigger on "Looker Studio", "レポート設計", "ダッシュボード".

English

Analyzes infrastructure costs at 1K-100K user scales by reading the actual codebase, auto-detecting cloud providers, modeling per-action costs, and projecting total monthly spend with optimization recommendations.

English

Identify potential failure modes and assess system vulnerabilities for pilot workflows and integrations.

English

Invoke when the user asks about product-led growth, referral programs, viral loops, product launch strategy, retention optimization, growth experiments, affiliate marketing, or growth hacking techniques.

English

Defines language usage conventions separating user communication from technical artifacts. Use when writing code, documentation, commits, or communicating with users in multilingual projects.

English

Use when you must prove a claim about this repo's token budgets, description trigger-reliability, hook-blocking behavior, multi-agent session cost, or a counter's trustworthiness before citing it in a review or merge decision, rather than eyeballing it or trusting a hook that merely looks wired. Covers hand-deriving token math, live-fire hook payloads, write-path-to-commit tracing, refute-first fix verification, each with a worked example. Not for routine tool invocation or exit-code reading (mcs-diagnostics-and-tooling), acceptance-evidence tiers (mcs-validation-and-qa), or the hunch-to-accepted-result idea lifecycle (mcs-research-methodology).

English

When the user needs to decide what to build, cut, and defer for a first release or minimum viable version of a product or feature.

English

Network protocol capture, analysis, and fuzzing…

English

Interactive LLM inference pipeline design — elicits requirements, recommends pattern, scaffolds production-ready…

English

Includes Analytics Design, Cost Analysis, Failure Mode Analysis, and other workflows.

Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI

Supported by the Atlas install prompt. Skill-specific requirements vary.

Pack stats

Skills9CategorygeneralStars0

What’s included

Analytics Design

Design Looker Studio reports and dashboards. Use when creating Looker Studio reports, designing data sources, or writing visualization specifications. Trigger on "Looker Studio", "レポート設計", "ダッシュボード".

Cost Analysis

Analyzes infrastructure costs at 1K-100K user scales by reading the actual codebase, auto-detecting cloud providers, modeling per-action costs, and projecting total monthly spend with optimization recommendations.

Failure Mode Analysis

Identify potential failure modes and assess system vulnerabilities for pilot workflows and integrations. Use when anticipating risks, modeling breakdown scenarios, or des

Growth Engineering

Invoke when the user asks about product-led growth, referral programs, viral loops, product launch strategy, retention optimization, growth experiments, affiliate marketing, or growth hacking techniques.

Language Conventions

Defines language usage conventions separating user communication from technical artifacts. Use when writing code, documentation, commits, or communicating with users in multilingual projects.

Mcs Analysis Toolkit

Use when you must prove a claim about this repo's token budgets, description trigger-reliability, hook-blocking behavior, multi-agent session cost, or a counter's trustworthiness before citing it in a review or merge decision, rather than eyeballing it or trusting a hook that merely looks wired. Covers hand-deriving token math, live-fire hook payloads, write-path-to-commit tracing, refute-first fix verification, each with a worked example. Not for routine tool invocation or exit-code reading (mcs-diagnostics-and-tooling), acceptance-evidence tiers (mcs-validation-and-qa), or the hunch-to-accepted-result idea lifecycle (mcs-research-methodology).

Mvp Scoping

When the user needs to decide what to build, cut, and defer for a first release or minimum viable version of a product or feature.

Network Protocol Analysis Skill

Network protocol capture, analysis, and fuzzing capabilities

Pipeline Design

Interactive LLM inference pipeline design — elicits requirements, recommends pattern, scaffolds production-ready artifacts

Quick start

  1. Choose your skills. Select individual skills above, or choose the entire pack.
  2. Copy the install prompt. Use Copy install prompt above the list.
  3. Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.

Try it with your agent

After installation, start with a request like:

Example request
Use the Analytics Design skill to help with my task.
Ask me for the context you need before getting started.

Requirements & license

  • A coding agent that can access your project files and install skills.
  • Your agent checks each skill’s instructions, dependencies, and permissions during setup.
  • Reported license for the skills shown: MIT. The author’s terms apply.
AI Agent Workflow Collection | Agent Skills Atlas