mcp-server-trello: Skill for Claude Code

.agents/skills/bmad-product-brief/SKILL.md

bmad-product-brief is a skill for Claude Code, Codex from delorenj/mcp-server-trello. It costs 30 tokens per session (1,562 once invoked), scanned A, original, MIT.

A guided or autonomous process for creating or updating a product brief, a short document that explains a product's purpose, users, and direction.

In plain words
What is it for?
Use it to discover and describe a product idea, revise an existing brief, analyze supporting documents, and prepare material for a more detailed requirements document.
Why use it?
It turns raw ideas and existing materials into a concise document for planning. It can also use research and preserve detailed input for later product-requirements work.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions subagents; installed under .agents/ (shared by several agents).

This is delorenj/mcp-server-trello's own configuration. It tells Claude Code and Codex how to work on mcp-server-trello 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 mcp-server-trello configures →

Reuse

Borrowing it

Nothing to install: this file belongs to delorenj/mcp-server-trello. 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/delorenj/mcp-server-trello/main/.agents/skills/bmad-product-brief/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/delorenj/mcp-server-trello

Made for: Claude Code, Codex.

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 bmad-product-brief

README.md
[![agentmods](https://agentmods.dev/badge/skills/delorenj/mcp-server-trello/bmad-product-brief/github.svg)](https://agentmods.dev/skills/delorenj/mcp-server-trello/bmad-product-brief)
Your own site
<a href="https://agentmods.dev/skills/delorenj/mcp-server-trello/bmad-product-brief"><img src="https://agentmods.dev/badge/skills/delorenj/mcp-server-trello/bmad-product-brief/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 bmad-product-brief

Your own site · 80×15
<a href="https://agentmods.dev/skills/delorenj/mcp-server-trello/bmad-product-brief"><img src="https://agentmods.dev/badge/skills/delorenj/mcp-server-trello/bmad-product-brief.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 30 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,562 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00030 $0.01562
Opus 5 $0.00015 $0.00781
Sonnet 5 $0.00006 $0.00312
Haiku 4.5 $0.00003 $0.00156

Measured 13d ago against content hash 044459f71dd9, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

bmad-product-brief 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 13d 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.

Origin

Copies of this mod

8 near-identical copies found in the catalogue:

.agents/skills/bmad-product-brief/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Create Product Brief

Overview

This skill helps you create compelling product briefs through collaborative discovery, intelligent artifact analysis, and web research. Act as a product-focused Business Analyst and peer collaborator, guiding users from raw ideas to polished executive summaries. Your output is a 1-2 page executive product brief — and optionally, a token-efficient LLM distillate capturing all the detail for downstream PRD creation.

The user is the domain expert. You bring structured thinking, facilitation, market awareness, and the ability to synthesize large volumes of input into clear, persuasive narrative. Work together as equals.

Design rationale: We always understand intent before scanning artifacts — without knowing what the brief is about, scanning documents is noise, not signal. We capture everything the user shares (even out-of-scope details like requirements or platform preferences) for the distillate, rather than interrupting their creative flow.

Conventions

  • Bare paths (e.g. prompts/finalize.md) resolve from the skill root.
  • {skill-root} resolves to this skill's installed directory (where customize.toml lives).
  • {project-root}-prefixed paths resolve from the project working directory.
  • {skill-name} resolves to the skill directory's basename.

Activation Mode Detection

Check activation context immediately:

  1. Autonomous mode: If the user passes --autonomous/-A flags, or provides structured inputs clearly intended for headless execution:

    • Ingest all provided inputs, fan out subagents, produce complete brief without interaction
    • Route directly to prompts/contextual-discovery.md with {mode}=autonomous
  2. Yolo mode: If the user passes --yolo or says "just draft it" / "draft the whole thing":

    • Ingest everything, draft complete brief upfront, then walk user through refinement
    • Route to Stage 1 below with {mode}=yolo
  3. Guided mode (default): Conversational discovery with soft gates

    • Route to Stage 1 below with {mode}=guided

Read the full file on GitHub · 118 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. 13d ago First seen · 118 lines · 30 tokens per session scan A 044459f71dd9

Subscribe to this mod's changes

bmad-product-brief is a skill published in the GitHub repository delorenj/mcp-server-trello (438 stars, last pushed 14d ago), licensed MIT. It adds 30 tokens to every session and 1,562 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 2026-08-30.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens