positioning-angles

positioning-angles is a skill for Claude Code, Codex from MoizIbnYousaf/marketing-cli. It costs 130 tokens per session (4,270 once invoked), scanned A, original, MIT.

A framework for finding the clearest reason people should choose a product and the message that communicates it. Positioning means deciding how a product should be understood compared with alternatives.

In plain words
What is it for?
Use it to develop value propositions, differentiators, sales angles, hooks, and messaging for a product or brand.
Why use it?
It helps when a product sounds generic, struggles to stand out, or has marketing copy that does not persuade people.

Skill for Claude CodeCodex

Part of the marketing-cli plugin — 88 skills, 9 commands, 1 hook, 2 MCP servers 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/moizibnyousaf/marketing-cli/positioning-angles
Any agent
npx skills add MoizIbnYousaf/marketing-cli --skill positioning-angles
Clone the repo
git clone --depth 1 https://github.com/MoizIbnYousaf/marketing-cli

Made for: Claude Code, Codex.

Or install marketing-cli, the plugin that ships this one along with the rest of its 88 skills, 9 commands, 1 hook, 2 MCP servers.

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 positioning-angles

README.md
[![agentmods](https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/positioning-angles.svg)](https://agentmods.dev/skills/moizibnyousaf/marketing-cli/positioning-angles)
Your own site
<a href="https://agentmods.dev/skills/moizibnyousaf/marketing-cli/positioning-angles"><img src="https://agentmods.dev/badge/skills/moizibnyousaf/marketing-cli/positioning-angles.svg" alt="Measured on agentmods" height="20"></a>
Per session 130 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,270 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 $0.00130 $0.04270
Opus 5 $0.00065 $0.02135
Sonnet 5 $0.00026 $0.00854
Haiku 4.5 $0.00013 $0.00427

Measured yesterday against content hash 415a146c6dd5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

positioning-angles 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 yesterday.

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/positioning-angles/SKILL.md · 481 lines

How it starts

The opening of the file, as written. The whole thing — 481 lines — stays where its author put it; the contents beside it link to each section on GitHub.

On Activation

  1. Check if brand/ directory exists in the project root.
  2. If it does, read available files: voice-profile.md, positioning.md, audience.md, creative-kit.md, stack.md, learnings.md.
  3. Apply any loaded brand context to enhance output quality.
  4. If brand/ does not exist, proceed without it — this skill works standalone.
  5. Read brand/landscape.md if it exists — check the Claims Blacklist before making ecosystem or competitive claims. If stale (>14 days) or missing, warn that market claims may be outdated.

Note: Examples below use fictional brands (Acme, Lumi, Helm). Replace with your own brand context.

Positioning & Angles

The same product can sell 100x better with a different angle. Not a different product. Not better features. Just a different way of framing what it already does.

This skill finds those angles.


Brand memory integration

Reads: audience.md, competitors.md, voice-profile.md (if they exist)

On invocation, check for ./brand/ and load available context:

  1. Check for ./brand/positioning.md -- if it exists, this is an update session:

    • Read the existing positioning file
    • Display the current primary angle and any saved alternatives
    • Ask: "You already have positioning on file. Do you want to refine it with fresh data, or start from scratch?"
    • "Refine" -- load existing angles, run competitive search for new data, suggest adjustments to current positioning based on what has changed in the market
    • "Start fresh" -- run the full process below as if no positioning exists
  2. Load audience.md (if exists):

    • Use audience segments, pain points, and language patterns to inform angle generation
    • Show: "I see your audience profile -- [brief summary]. Using that to shape angles."
  3. Load competitors.md (if exists):

    • Use known competitors as starting seeds for the competitive web search step
    • Show: "I found [N] competitors in your brand memory. Starting search from there."

Read the full file on GitHub · 481 lines

Files

What ships with it

7 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. yesterday First seen · 481 lines · 130 tokens per session scan A 415a146c6dd5

Subscribe to this mod's changes

positioning-angles is a skill published in the GitHub repository MoizIbnYousaf/marketing-cli (31 stars, last pushed 18d ago), licensed MIT. It adds 130 tokens to every session and 4,270 once invoked, about $0.0006 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.

Related

Other skills, from other repositories

linkedin-reply-handler

Draft a reply to a specific existing LinkedIn comment from its URL. Use when the user wants to reply to a comment on any post, or follow up after an author replied to them. Parses the commentUrn, resolves the correct parentComment target (LinkedIn flattens threads to 2 levels), and posts via Publora on approval. Not…

sergebulaev/linkedin-skills · 88 tokens

ads-amazon

Audit Amazon Ads profiles, regions, Sponsored Products, Sponsored Brands, Sponsored Display, DSP, portfolios, targeting, search terms, retail readiness, creative, budgets, ACOS, TACOS, reporting, and policy. Use for Amazon Ads, sponsored ads, Amazon PPC, ACOS, TACOS, ASIN advertising, Amazon DSP, or retail-media…

AgriciDaniel/claude-ads · 76 tokens

ads-landing

Audit paid-ad landing pages for message match, mobile experience, performance, accessibility, trust, forms, consent, tracking, security, and conversion friction. Use for landing-page audit, post-click experience, LP audit, conversion-rate optimization, form optimization, ad-to-page message match, redirects, blocked…

AgriciDaniel/claude-ads · 81 tokens

ads-linkedin

Audit LinkedIn Ads measurement, Insight Tag and conversions, professional audiences, lead generation, ABM, creative, bidding, budgets, pacing, automation, and policy. Use for LinkedIn Ads, Campaign Manager, Insight Tag, Lead Gen Forms, Thought Leader Ads, ABM campaigns, or B2B paid media.

AgriciDaniel/claude-ads · 68 tokens

ads-optimize

Diagnose and draft or explicitly apply paid-ad optimizations using evidence, financial constraints, experiments, and capability-gated adapters. Use for campaign optimization, budget reallocation, bid changes, pausing or archiving ads, requests to delete campaigns, search-term or negative-keyword actions, creative…

AgriciDaniel/claude-ads · 71 tokens

ads-research

Refresh Claude Ads platform, API, policy, regulation, benchmark, issue, pull-request, fork, and repository evidence. Use for ads research refresh, expired refreshdue dates, stale API or platform claims, reverify-or-demote decisions, release-current claim validation, ecosystem review, current platform changes, or…

AgriciDaniel/claude-ads · 97 tokens