loom-brainstorming

loom-brainstorming is a skill for Claude Code from xiqin/loom. It costs 47 tokens per session (1,688 once invoked), scanned A, original, MIT.

A planning skill for exploring two or three ways to build a new feature before implementation. It records the chosen design and requirements in a dated project folder.

In plain words
What is it for?
Use it to compare implementation options, define what is in or out of scope, ask focused questions, and create a specification for the work.
Why use it?
It helps resolve unclear requirements, permissions, business rules, and technical trade-offs before code is written.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter.

Part of the loom-engineering plugin — 22 skills shipped together

Good fit Use it to compare implementation options, define what is in or out of scope, ask focused questions, and create a specification for the work.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/xiqin/loom/loom-brainstorming
View source ↗ xiqin/loom
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.

Any agent
npx skills add xiqin/loom --skill loom-brainstorming
Clone the repo
git clone --depth 1 https://github.com/xiqin/loom

Made for: Claude Code.

Or install loom-engineering, the plugin that ships this one along with the rest of its 22 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 loom-brainstorming

README.md
[![agentmods](https://agentmods.dev/badge/skills/xiqin/loom/loom-brainstorming/github.svg)](https://agentmods.dev/skills/xiqin/loom/loom-brainstorming)
Your own site
<a href="https://agentmods.dev/skills/xiqin/loom/loom-brainstorming"><img src="https://agentmods.dev/badge/skills/xiqin/loom/loom-brainstorming/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for loom-brainstorming

Your own site · 80×15
<a href="https://agentmods.dev/skills/xiqin/loom/loom-brainstorming"><img src="https://agentmods.dev/badge/skills/xiqin/loom/loom-brainstorming.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,688 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00047 $0.01688
Opus 5 $0.00023 $0.00844
Sonnet 5 $0.00009 $0.00338
Haiku 4.5 $0.00005 $0.00169

Measured 9d ago against content hash 421224f21134, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

loom-brainstorming 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 9d 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/loom-brainstorming/SKILL.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

需求头脑风暴

触发条件

  • 用户提出新需求、功能描述或 PRD。
  • 用户询问设计方案、实现路径或技术 trade-off。
  • 需求存在关键歧义、涉及多角色/权限/业务规则,或验收标准不清。

非触发条件

  • 单文件 typo、文案、配置微调或用户已给出明确验收标准的小改动。
  • 根因已明确且范围很小的 bug 修复;这类任务应交给 loom-pipeline-selector 命中 quickfix/bugfix 流程。

执行流程

产物根目录

本阶段应创建或使用 specs/<date+feature>/ 作为 specDir。所有阶段产物都必须写入该目录内;禁止在项目根目录写 spec.mdprogress.mdhandoffs/

Step 1:理解需求

  1. 若存在 .loom/rules/product.md,先读取,作为产品定位、目标用户和原型约束的视角依据(PM / pm-prototype 流水线)。
  2. 若存在 .loom/rules/constitution.md,读取其中架构、目录和编码约束。
  3. 修改类需求先分析现有实现和影响范围。
  4. 明确边界:做什么、不做什么。

Step 2:可视化伴侣(可选)

如果预计涉及模型、布局、架构图等可视化内容,单独询问用户是否使用浏览器展示。详细流程见 references/visual-companion.md

Step 3:探索 2-3 种方案

每个方案包含:方案名称、架构思路、数据流、trade-off、实现步骤。以推荐方案开头并解释原因;如果范围跨多个独立子系统,先建议拆分。

Step 4:澄清与 shared understanding

先区分问题来源:能通过读取代码、文档、spec 或现有约定回答的问题,必须先自行探索,不要问用户。

对简单需求,把待决议项集中展示给用户,优先给多选项:

## 待决议项

| #   | 问题           | 选项                              |
| --- | -------------- | --------------------------------- |
| 1   | 数据存储方式? | A: 关系型数据库 / B: 文档型数据库 |

对复杂需求进入一问一答澄清:

  1. 沿最阻塞的设计分支提一个问题。
  2. 每次只问一个问题。
  3. 给出推荐答案和理由。
  4. 等待用户反馈后再问下一个问题。
  5. 用户确认 shared understanding 前,不写最终 spec,不进入实现。

Step 5:输出 spec.md 与 requirements.json

用户确认方案后,写入 specs/<date+feature>/spec.mdspecs/<date+feature>/requirements.json。文件夹命名格式:<YYYY-MM-DD>+<功能名>,如 2026-04-26+user-management

使用 assets/spec-template.md 作为结构模板,并按项目类型删去不适用章节。

requirements.json 必须与 spec.md 的所有 REQ-xxx 一一对应。每个 requirement 必须包含:

  • id:如 REQ-001
  • status:初始为 failing
  • types:需求类型,如 functionalinputauthorizationwritestatesecurityperformanceobservablerecovery
  • required_categories:该需求必须覆盖的行为维度,如 happy-pathinvalid-inputauthorizationatomicitystate-transitionobservability
  • acceptance:需求级验收标准。
  • behaviors:可独立验证的行为义务,ID 使用 REQ-xxx-Bnn,每条必须有 categorydescriptionstatusacceptance

行为维度必须从以下白名单选择:happy-pathboundaryinvalid-inputauthorizationstate-transitionidempotencyconcurrencyatomicityexternal-failurecompatibilitysecurityperformanceobservabilityrecoveryforbidden-behavior

Read the full file on GitHub · 128 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 128 lines · 47 tokens per session scan A 421224f21134

Subscribe to this mod's changes

loom-brainstorming is a skill published in the GitHub repository xiqin/loom (5 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 1,688 once invoked, about $0.0002 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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