Agent skill

Agent Era Pricing

by mohitagw15856 in mohitagw15856/pm-claude-skills

Redesign seat-based pricing for the agent era — when one human runs ten agents, per-seat models collapse.

MITAuto-check passedSales & Support

Install Agent Era Pricing

skills CLI
$ npx skills add mohitagw15856/pm-claude-skills --skill agent-era-pricing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mohitagw15856/pm-claude-skills agent-era-pricing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mohitagw15856/pm-claude-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agent-era-pricing .claude/skills/agent-era-pricing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
agent-era-pricing
GitHub stars
1.4k
Token cost
~1.4k tokens
SKILL.md length
723 words
Files
1
Skills in repo
1,348
Repo updated
First seen
Licence
MIT

At a glance

Redesign seat-based pricing for the agent era — when one human runs ten agents, per-seat models collapse.

  • Works in 6 steps: Find the value metric that survives… → Price the human and the agent… → Design the fences. What separates tiers… → …
  • Agents are eroding seat counts
  • SKILL.md covers What This Skill Produces, Required Inputs, Method and Output Format, plus 3 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Agent Era Pricing is an agent skill from mohitagw15856/pm-claude-skills. Redesign seat-based pricing for the agent era — when one human runs ten agents, per-seat models collapse. Use when agents are eroding seat counts, when asked to migrate to usage- or outcome-based pricing, to price an agent/API tier, or to defend revenue as customers automate their own usage. Produces a pricing migration plan: the new value metric, fences, agent-tier design, cannibalisation math, and a phased migration for existing customers. For general pricing and packaging strategy use pricing-strategy.

Its SKILL.md is about 1.4k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Sales & Support, covering Pricing strategy. The repository describes itself as: 1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in… The licence is MIT.

When your agent uses it

  • Agents are eroding seat counts
  • Asked to migrate to usage-
  • Outcome-based pricing
  • Price an agent/API tier

Example prompts

  • “/agent-era-pricing”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Find the value metric that survives agents. Test candidates against three questions: does it scale with the value the customer receives…
  2. Price the human and the agent differently, deliberately. The durable pattern is a hybrid: a platform/human layer (flat or few-seats…
  3. Design the fences. What separates tiers now that seats don't: volume bands on the value metric, rate/concurrency limits…
  4. Run the cannibalisation math on real cohorts. For each customer profile: current annual price vs new-model price at current usage, at 2×…
  5. Phase the migration. New customers first (cleanest signal) → opt-in for existing (with a calculator showing their number) → forced…
  6. Set the tripwires. Which metrics reprice this model: value-metric inflation/deflation, gaming detected, agent share of traffic crossing…

What it can do on your machine

Read from SKILL.md and the folder at commit 1cbf1f0. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Agent Era Pricing loads about 1.4k tokens when it runs. Until then it costs about 132 tokens; SKILL.md has 723 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~132
When it runs · the whole SKILL.md, loaded when a task matches
~1.4k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from mohitagw15856/pm-claude-skills at commit 1cbf1f0, republished under its MIT licence (© mohitagw15856). 723 words, ~1,412 tokens.

Download SKILL.mdSave it as .claude/skills/agent-era-pricing/SKILL.md (or your agent's skills folder).
name
agent-era-pricing
description
Redesign seat-based pricing for the agent era — when one human runs ten agents, per-seat models collapse. Use when agents are eroding seat counts, when asked to migrate to usage- or outcome-based pricing, to price an agent/API tier, or to defend revenue as customers automate their own usage. Produces a pricing migration plan: the new value metric, fences, agent-tier design, cannibalisation math, and a phased migration for existing customers. For general pricing and packaging strategy use pricing-strategy.

Agent Era Pricing Skill

Seat pricing quietly assumed the user was a human who logs in. Agents break the assumption from both sides: your customers need fewer seats (one operator, ten agents), and your product gets more usage than ever. This skill redesigns the model around a value metric that survives non-human users — without torching existing revenue on the way.

What This Skill Produces

  • A value-metric decision: what you charge for when seats stop proxying value
  • Agent-tier design: how agent/API usage is packaged, fenced, and priced
  • Cannibalisation math: what happens to current revenue under the new model, computed on real cohorts
  • A phased migration plan for existing customers, with the grandfathering decision made explicitly

Required Inputs

Ask for (if not already provided):

  • Current model: plans, price points, seat definitions, current API/automation pricing if any
  • The evidence of pressure: seat contraction, API traffic growth, customer asks, competitor moves
  • Unit economics: cost to serve a seat vs an API call/agent action (rough is fine, labelled)
  • 3-5 representative customer profiles with seat counts and usage (the cannibalisation test set)

Method

  1. Find the value metric that survives agents. Test candidates against three questions: does it scale with the value the customer receives (not your costs)? · is it counted identically whether a human or agent drives it? · can the customer predict their bill? Strong candidates are usually outcomes or work-objects (invoices processed, tickets resolved, campaigns run, records enriched) — not raw API calls (unpredictable, punishes retries) and not seats (dying assumption).
  2. Price the human and the agent differently, deliberately. The durable pattern is a hybrid: a platform/human layer (flat or few-seats — access, admin, support) plus a work layer priced on the value metric, agnostic to who did the work. Decide where agents authenticate: agent traffic on a user's token counted as that user's work, not as a "seat".
  3. Design the fences. What separates tiers now that seats don't: volume bands on the value metric, rate/concurrency limits, SSO/audit/compliance (still human-org fences), model/automation quality tiers. Every fence must be measurable and hard to game — name the gaming vector for each and why it's acceptable.
  4. Run the cannibalisation math on real cohorts. For each customer profile: current annual price vs new-model price at current usage, at 2× automation, at 5×. Sum to a revenue bridge. If the new model loses money on your best cohort, the metric or the bands are wrong — fix the model, don't hide the row.
  5. Phase the migration. New customers first (cleanest signal) → opt-in for existing (with a calculator showing their number) → forced migration only with long notice and a cap ("no more than X% increase in year one"). Grandfathering is a decision with a cost, not a default: state what perpetual legacy plans cost in five years.
  6. Set the tripwires. Which metrics reprice this model: value-metric inflation/deflation, gaming detected, agent share of traffic crossing thresholds. Pricing in the agent era is a program, not a project.
Show full SKILL.md (235 more words)Show less

Output Format

Agent-Era Pricing Plan: [product]

Diagnosis: [the seat-erosion evidence, quantified] Value metric: [chosen metric] — because [the three-question test, answered]. Rejected: [runner-up + why].

The model

LayerWhat's includedPriced onTiers/bands
Platform (humans)
Work (human or agent)

Fences: [fence → what it separates → gaming vector → why acceptable]

Cannibalisation bridge

CohortTodayNew @ current usageNew @ 2× automationΔ

Migration: [phase → who → when → the cap/grandfather decision, stated] Tripwires: [metric → threshold → action]

Quality Checks

  • The value metric passes all three tests (customer value · human/agent-agnostic · predictable)
  • Cannibalisation is computed on the provided cohorts, not asserted — assumptions labelled
  • Every fence names its gaming vector
  • The migration includes an explicit grandfathering decision with its long-run cost
  • Agent authentication/attribution is specified — whose usage is whose bill

Anti-Patterns

  • Do not price raw API calls as the value metric — unpredictable bills punish exactly the automation you want to encourage
  • Do not bolt an "agent seat" onto seat pricing — an agent is not a discount human; the assumption is what broke
  • Do not present only the happy cohort — the bridge shows the losers or it isn't math
  • Do not force-migrate loyal customers without a year-one cap — churn from pricing anger costs more than the uplift
  • Do not skip tripwires — a static price in a shifting usage regime is a slow leak in one direction or the other

Example Trigger Phrases

  • "Migrate to usage-."
  • "Price an agent/API tier."
  • "Defend revenue as customers automate their own usage."

© mohitagw15856, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/agent-era-pricing of mohitagw15856/pm-claude-skills.

Open the folder on GitHubat commit 1cbf1f0

Compare with similar skills

Agent Era Pricing next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Agent Era Pricing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Agent Era Pricing this skillmohitagw15856/pm-claude-skills1.4k—~1.4kAutomated safety check: PassMIT
Pricing Strategyfreekmurze/dotfiles1k18 repos~1.6kAutomated safety check: PassNone
Profit Margin Calculator Amazonnexscope-ai/eCommerce-Skills1.1k—~1.7kAutomated safety check: PassMIT
Niche Opportunity Finderzanecole10/software-tailor-skills106—~4.2kAutomated safety check: PassNone
Pricing Strategyalirezarezvani/claude-skills28k1 repos~3.5kAutomated safety check: PassMIT
Software Pricing Calculatorzanecole10/software-tailor-skills106—~3.7kAutomated safety check: PassNone

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Categories

Questions about Agent Era Pricing

What does Agent Era Pricing do?

Redesign seat-based pricing for the agent era — when one human runs ten agents, per-seat models collapse. Agent Era Pricing is an agent skill from mohitagw15856/pm-claude-skills. Redesign seat-based pricing for the agent era — when one human runs ten agents, per-seat models collapse.

When should I use Agent Era Pricing?

Agent Era Pricing fits situations like: agents are eroding seat counts; asked to migrate to usage-; outcome-based pricing; price an agent/API tier.

How do I install Agent Era Pricing in Claude Code?

Run `npx skills add mohitagw15856/pm-claude-skills --skill agent-era-pricing -a claude-code`. Or copy the skill folder (skills/agent-era-pricing in mohitagw15856/pm-claude-skills) into .claude/skills/agent-era-pricing in your project. Claude Code loads it when a task matches its description.

How do I install Agent Era Pricing in Codex?

Run `npx skills add mohitagw15856/pm-claude-skills --skill agent-era-pricing -a codex`. Or copy the skill folder (skills/agent-era-pricing in mohitagw15856/pm-claude-skills) into .agents/skills/agent-era-pricing in your project. Codex loads it when a task matches its description.

Can I use Agent Era Pricing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mohitagw15856/pm-claude-skills --skill agent-era-pricing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/agent-era-pricing, .gemini/skills/agent-era-pricing, .github/skills/agent-era-pricing and .opencode/skills/agent-era-pricing in your project.

What does Agent Era Pricing need to run?

SKILL.md names no scripts, command-line tools or credentials: Agent Era Pricing is instructions for the agent only.

Does Agent Era Pricing access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Agent Era Pricing safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Agent Era Pricing use?

Agent Era Pricing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Agent Era Pricing use?

About 1.4k tokens (SKILL.md is roughly 5.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Agent Era Pricing?

Skills that share tags, products or a category with Agent Era Pricing: Pricing Strategy (freekmurze/dotfiles, 1k stars), Profit Margin Calculator Amazon (nexscope-ai/eCommerce-Skills, 1.1k stars), Niche Opportunity Finder (zanecole10/software-tailor-skills, 106 stars) and Pricing Strategy (alirezarezvani/claude-skills, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Agent Era Pricing?

mohitagw15856 (a GitHub user) maintains it in mohitagw15856/pm-claude-skills, which has 1,434 GitHub stars. The repository holds 1,348 skills in this directory. The repository was last updated on October 9, 2026.

Source: mohitagw15856/pm-claude-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.