competitive-brief

competitive-brief is a skill for Claude Code from sun2443/designer-skills. It costs 55 tokens per session (2,832 once invoked), scanned A, a copy of competitive-brief, Apache-2.0.

A competitor research workflow that compares companies' positioning, messages, content, products, pricing, and market presence. Positioning is how a company explains why its product is different and who it serves.

In plain words
What is it for?
Creating sales battlecards, comparing competitor messaging and products, finding content gaps, and assessing the effect of a competitor's announcement.
Why use it?
It makes competitor information easier to compare and highlights gaps, opportunities, and possible threats.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter.

Needs its repository: it reads a path above its own folder, which exists only inside the repository. The line is If you see unfamiliar placeholders or need to check which tools are connected, see [CONNECTORS.md](../../CONNECTORS.md)..

Part of the marketing plugin — 8 skills shipped together

Good fit Creating sales battlecards, comparing competitor messaging and products, finding content gaps, and assessing the effect of a competitor's announcement.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/sun2443/designer-skills
agentmods
npx agentmods add skills/sun2443/designer-skills/competitive-brief

Made for: Claude Code.

Or install marketing, the plugin that ships this one along with the rest of its 8 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 competitive-brief

README.md
[![agentmods](https://agentmods.dev/badge/skills/sun2443/designer-skills/competitive-brief/github.svg)](https://agentmods.dev/skills/sun2443/designer-skills/competitive-brief)
Your own site
<a href="https://agentmods.dev/skills/sun2443/designer-skills/competitive-brief"><img src="https://agentmods.dev/badge/skills/sun2443/designer-skills/competitive-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 competitive-brief

Your own site · 80×15
<a href="https://agentmods.dev/skills/sun2443/designer-skills/competitive-brief"><img src="https://agentmods.dev/badge/skills/sun2443/designer-skills/competitive-brief.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 55 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,832 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 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 $0.00055 $0.02832
Opus 5.5 $0.00022 $0.01133
Sonnet 5.5 $0.00011 $0.00566
Haiku 4.5 $0.00006 $0.00283

Measured 13d ago against content hash c1e5442facbc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

competitive-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

This is a copy

100% identical to competitive-brief — 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.

marketing/skills/competitive-brief/SKILL.md · 332 lines

How it starts

The opening of the file, as written. The whole thing — 332 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Competitive Brief

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Research competitors and generate a structured competitive analysis comparing positioning, messaging, content strategy, and market presence.

Trigger

User runs /competitive-brief or asks for a competitive analysis, competitor research, or market comparison.

Inputs

Gather the following from the user:

  1. Competitor name(s) — one or more competitors to analyze (required)

  2. Your company/product context (optional but recommended):

    • What you sell and to whom
    • Your positioning or value proposition
    • Key differentiators you want to highlight
  3. Focus areas (optional — if not specified, cover all):

    • Messaging and positioning
    • Product and feature comparison
    • Content and thought leadership strategy
    • Recent announcements and news
    • Pricing and packaging (if publicly available)
    • Market presence and audience

Research Process

For each competitor, research using web search:

  1. Company website — homepage messaging, product pages, about page, pricing page
  2. Recent news — press releases, funding announcements, product launches, partnerships (last 6 months)
  3. Content strategy — blog topics, resource types, social media presence, webinars, podcasts
  4. Review sites and comparisons — third-party comparisons, analyst mentions, customer review themes
  5. Job postings — hiring signals that indicate strategic direction (optional)

Research Sources

Gather intelligence from these categories of sources:

Primary Sources (Direct from Competitor)
  • Website: homepage, product pages, pricing, about page, careers
  • Blog and resource center: content themes, publishing frequency, depth
  • Social media profiles: messaging, engagement, content strategy
  • Product demos and free trials: UX, features, onboarding experience
  • Webinars and events: topics, speakers, audience engagement
  • Press releases and newsroom: announcements, partnerships, milestones
  • Job postings: hiring signals that reveal strategic priorities (e.g., hiring for a new product line or market)

Read the full file on GitHub · 332 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 · 332 lines · 55 tokens per session scan A c1e5442facbc

Subscribe to this mod's changes

competitive-brief is a skill published in the GitHub repository sun2443/designer-skills (0 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 55 tokens to every session and 2,832 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to competitive-brief, differing in 0 lines, and is treated as a copy.

Related

Other skills, from other repositories

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

systematic-debugging

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

obra/superpowers · 21 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