positioning-obviously-awesome

positioning-obviously-awesome is a skill for Claude Code, Codex from deciqAI/knowledge-skills. It costs 83 tokens per session (655 once invoked), scanned A, original, MIT.

A product-positioning framework for explaining what a product does, who needs it most, and why it is a better choice than the alternatives. Positioning is the context that helps customers understand a product's value.

In plain words
What is it for?
Use it to define a market category, identify best-fit customers, compare alternatives, and align sales, websites, and onboarding around one clear explanation.
Why use it?
It helps when people see a product as merely a better version of something else, or do not understand why they should choose it.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to define a market category, identify best-fit customers, compare alternatives, and align sales, websites, and onboarding around one clear explanation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/deciqai/knowledge-skills/positioning-obviously-awesome
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 deciqAI/knowledge-skills --skill positioning-obviously-awesome
Clone the repo
git clone --depth 1 https://github.com/deciqAI/knowledge-skills

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.

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README.md
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Per session 83 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 655 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 $0.00083 $0.00655
Opus 5 $0.00042 $0.00328
Sonnet 5 $0.00017 $0.00131
Haiku 4.5 $0.00008 $0.00065

Measured 9d ago against content hash 77ac6fa1fb91, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

positioning-obviously-awesome 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.

positioning-obviously-awesome/SKILL.md · 45 lines

How it starts

The opening of the file, as written. The whole thing — 45 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Positioning — Make It Obviously Awesome (Dunford)

Overview

Positioning (April Dunford, Obviously Awesome, 2019) is the context you set so customers instantly understand why your product is great for them. Most weak positioning comes from anchoring to the category you were built in rather than the one where you win. Positioning is deliberate and componentized — not a tagline, but the frame that makes your strengths obvious.

The Process (Dunford's components)

  1. List competitive alternatives — what customers would truly use if you didn't exist (often a spreadsheet or nothing, not a named rival).
  2. Isolate your unique attributes — features/capabilities the alternatives lack.
  3. Map attributes to value — the benefit each attribute delivers.
  4. Find who cares a lot — the segment for whom that value is critical (your best-fit customers).
  5. Choose the market frame — the category/context in which your value is obvious. Gate: if the default category makes you look like a weak "me-too," pick a frame where your strengths lead.
  6. (Optional) layer a trend the market already cares about, honestly.
  7. Capture it so sales, site, and onboarding all tell the same story. Gate: if sales and website position differently, you have none.

When to Use

  • "Better/cheaper X" messaging that doesn't land
  • Strong product, weak conversion or confused prospects
  • Entering or reframing a category

Applying It Well

  • Position where you win, not where you were born.
  • Best-fit customers reveal the right frame — start from who loves you.
  • Repositioning is cheap vs rebuilding; try it before adding features.

Red Flags

  • Defaulting to the obvious category out of inertia.
  • Positioning by adjectives ("powerful, easy") instead of context.
  • Inconsistent story across touchpoints.

Verification

  • True competitive alternatives listed
  • Unique attributes → value → best-fit segment mapped
  • Market frame chosen where strengths lead
  • One consistent story across site/sales/onboarding

Read the full file on GitHub · 45 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. 9d ago First seen · 45 lines · 83 tokens per session scan A 77ac6fa1fb91

Subscribe to this mod's changes

positioning-obviously-awesome is a skill published in the GitHub repository deciqAI/knowledge-skills (10 stars, last pushed 11d ago), licensed MIT. It adds 83 tokens to every session and 655 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 2026-09-03.

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