gtm-engineer-playbook: Skill for Claude Code

.claude/skills/gtm-playbook/agent-architecture-planner/SKILL.md

agent-architecture-planner is a skill for Claude Code from Othmane-Khadri/gtm-engineer-playbook. It costs 64 tokens per session (7,416 once invoked), scanned A, a copy of agent-architecture-planner, MIT.

A planning tool for autonomous agents and scheduled automations. It separates routine work such as API calls and file handling from judgment-based work such as scoring and writing.

In plain words
What is it for?
Use it to design a shell-based agent package with prompts, configuration, scheduling instructions and an estimated cost.
Why use it?
This division can make an automation easier to debug and control because predictable operations are scripted while decisions are handled by the language model. It first asks questions about the workflow.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents; positional $N argument; mentions Claude Code.

This is Othmane-Khadri/gtm-engineer-playbook's own configuration. It tells Claude Code how to work on gtm-engineer-playbook itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything gtm-engineer-playbook configures →

Reuse

Borrowing it

Nothing to install: this file belongs to Othmane-Khadri/gtm-engineer-playbook. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Othmane-Khadri/gtm-engineer-playbook/main/.claude/skills/gtm-playbook/agent-architecture-planner/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/Othmane-Khadri/gtm-engineer-playbook

Made for: Claude Code.

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Per session 64 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 7,416 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00064 $0.07416
Opus 5 $0.00032 $0.03708
Sonnet 5 $0.00013 $0.01483
Haiku 4.5 $0.00006 $0.00742

Measured 11d ago against content hash b0e34be464c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

agent-architecture-planner scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- API calls using `curl` with error handling
Origin

This is a copy

100% identical to agent-architecture-planner — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/gtm-playbook/agent-architecture-planner/SKILL.md · 766 lines

How it starts

The opening of the file, as written. The whole thing — 766 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent Architecture Planner

Design autonomous agents using the "Shell Orchestrates, Claude Thinks" pattern. This skill takes a workflow description, selects the right architecture pattern, and produces a complete agent package: shell wrapper, system prompt, config, scheduling setup, and cost estimate.

The core principle: the shell handles everything deterministic (API calls, file I/O, scheduling, budget tracking), and Claude handles everything that requires judgment (scoring, filtering, writing, categorizing). This separation makes agents cheaper, more reliable, and easier to debug.


Tools Used

Tool Purpose
Read Check for existing agent docs, load reference files
Write Output all agent architecture files
Bash Make shell scripts executable, verify directory structure
Glob Check for existing agents to avoid naming conflicts

Methodology

Follow these steps in order. Do not skip steps. Do not produce output files before completing the discovery interview and confirming the architecture with the user.


Step 1 — Workflow Discovery (Interactive)

Present these questions to the user all at once in a numbered list. Tell the user they can answer inline or paste a block of text.

Ask exactly these questions:

I need to understand the workflow before designing the agent. Answer these 6 questions — be as specific as possible.

1. What task do you want to automate? (Describe the manual workflow as you do it today, step by step.)
2. How often should it run? (Every hour, daily, every 2 days, weekly, on-demand only?)
3. What data sources does it need? (APIs, websites to scrape, databases, local files, RSS feeds?)
4. What should it produce? (Report files, database entries, API calls, Slack messages, emails, CSV exports?)
5. What decisions does it need to make? (Scoring relevance, filtering noise, writing content, categorizing items, choosing actions?)
6. What's your budget constraint? (Max cost per run in dollars, or monthly ceiling. Include both API/data costs and LLM costs if you know them.)

Read the full file on GitHub · 766 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 766 lines · 64 tokens per session scan A b0e34be464c6

Subscribe to this mod's changes

agent-architecture-planner is a skill published in the GitHub repository Othmane-Khadri/gtm-engineer-playbook (56 stars, last pushed 5mo ago), licensed MIT. It adds 64 tokens to every session and 7,416 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). It is 100% identical to agent-architecture-planner, differing in 0 lines, and is treated as a copy.

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