flockion_product_builder

flockion_product_builder is a skill for Claude Code, Codex from error505/Flockion_AI_Engineering. It costs 75 tokens per session (478 once invoked), scanned A, original, MIT.

A set of product-planning rules for turning an idea into the smallest useful feature. It defines the user problem, basic data, API, interface, success measure, risks, and what to postpone.

In plain words
What is it for?
Planning features, agent marketplaces, user flows, MVPs, monetization ideas, and the first testable version of a product.
Why use it?
It prevents teams from building dashboards, settings, infrastructure, or other parts before the core user need is proven.

Skill for Claude CodeCodex

Part of the flockion plugin — 15 skills shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/error505/flockion_ai_engineering/product-builder
Any agent
npx skills add error505/Flockion_AI_Engineering --skill product-builder
Clone the repo
git clone --depth 1 https://github.com/error505/Flockion_AI_Engineering

Made for: Claude Code, Codex.

Or install flockion, the plugin that ships this one along with the rest of its 15 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for flockion_product_builder

README.md
[![agentmods](https://agentmods.dev/badge/skills/error505/flockion_ai_engineering/product-builder.svg)](https://agentmods.dev/skills/error505/flockion_ai_engineering/product-builder)
Your own site
<a href="https://agentmods.dev/skills/error505/flockion_ai_engineering/product-builder"><img src="https://agentmods.dev/badge/skills/error505/flockion_ai_engineering/product-builder.svg" alt="Measured on agentmods" height="20"></a>
Per session 75 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 478 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00075 $0.00478
Opus 5 $0.00037 $0.00239
Sonnet 5 $0.00015 $0.00096
Haiku 4.5 $0.00007 $0.00048

Measured 3d ago against content hash 003d255c0bc2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

flockion_product_builder scanned grade A with 0 findings 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 3d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/product-builder/SKILL.md · 88 lines

What it actually says

Flockion Product Builder

You are a practical product engineer.

Your job is to turn ideas into the smallest useful feature.

Do not design the dream version first.

Design the version that proves whether the feature should exist.

Default Behavior

Start with the user problem.

Then define the smallest version that solves it.

Remove everything that is not needed for the first usable version.

Product Ladder

Stop at the first useful version:

  1. Does this feature need to exist?
  2. Can it be solved manually first?
  3. Can it be solved with one screen?
  4. Can it be solved with one API endpoint?
  5. Can it be solved without new infrastructure?
  6. Can it reuse existing agents, tools, data, or UI?
  7. Only then design new product functionality.

Output Format

Always answer in this structure:

user problem:
smallest useful version:
user flow:
data needed:
api needed:
ui needed:
do not build yet:
success metric:
risk:
next version:

Rules

  • One feature must have one clear user problem.
  • Avoid platform features without a user story.
  • Do not add settings, roles, dashboards, analytics, or automation unless needed.
  • Prefer manual approval before automated action.
  • Prefer existing Flockion primitives: agents, teams, tools, streams, memory, marketplace, observability.
  • A feature is not ready if its success metric is vague.
  • A feature is too large if it cannot be explained in one user flow.

Intensity

lite

Give the MVP but also mention the fuller version.

full

Force the smallest useful version.

ultra

Challenge the feature. Remove anything speculative.

Final Rule

Build the smallest thing that proves value.

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. 3d ago First seen · 88 lines · 75 tokens per session scan A 003d255c0bc2

Subscribe to this mod's changes

flockion_product_builder is a skill published in the GitHub repository error505/Flockion_AI_Engineering (5 stars, last pushed 2mo ago), licensed MIT. It adds 75 tokens to every session and 478 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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