Apiclaw Analysis
LeoYeAI/openclaw-master-skills
Finds winning Amazon products with 14 battle-tested selection strategies & 6-dimension risk assessment.
Helps founders and product teams choose a charge metric, shape pricing tiers and set margin targets for AI products whose compute costs rise with usage.
Install AI Product Pricing
$ npx skills add tech-leads-club/agent-skills --skill ai-pricing -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install tech-leads-club/agent-skills ai-pricing --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/tech-leads-club/agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'packages/skills-catalog/skills/(gtm)/ai-pricing' .claude/skills/ai-pricing && rm -rf skills-srcUse ~/.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/
Install the "ai-pricing" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(gtm)/ai-pricing into .claude/skills/ai-pricing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pricing", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(gtm)/ai-pricingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add tech-leads-club/agent-skills --skill ai-pricing -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install tech-leads-club/agent-skills ai-pricing --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tech-leads-club/agent-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/'packages/skills-catalog/skills/(gtm)/ai-pricing' .agents/skills/ai-pricing && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ai-pricing" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(gtm)/ai-pricing into .agents/skills/ai-pricing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pricing", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tech-leads-club/agent-skills --skill ai-pricing -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install tech-leads-club/agent-skills ai-pricing --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tech-leads-club/agent-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/'packages/skills-catalog/skills/(gtm)/ai-pricing' .cursor/skills/ai-pricing && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ai-pricing" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(gtm)/ai-pricing into .cursor/skills/ai-pricing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pricing", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/tech-leads-club/agent-skills.git --path 'packages/skills-catalog/skills/(gtm)/ai-pricing'--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add tech-leads-club/agent-skills --skill ai-pricing -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install tech-leads-club/agent-skills ai-pricing --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tech-leads-club/agent-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/'packages/skills-catalog/skills/(gtm)/ai-pricing' .gemini/skills/ai-pricing && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ai-pricing" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(gtm)/ai-pricing into .gemini/skills/ai-pricing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pricing", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install tech-leads-club/agent-skills ai-pricingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add tech-leads-club/agent-skills --skill ai-pricing -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/tech-leads-club/agent-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/'packages/skills-catalog/skills/(gtm)/ai-pricing' .github/skills/ai-pricing && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ai-pricing" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(gtm)/ai-pricing into .github/skills/ai-pricing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pricing", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add tech-leads-club/agent-skills --skill ai-pricing -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install tech-leads-club/agent-skills ai-pricing --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/tech-leads-club/agent-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/'packages/skills-catalog/skills/(gtm)/ai-pricing' .opencode/skills/ai-pricing && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ai-pricing" agent skill from https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(gtm)/ai-pricing into .opencode/skills/ai-pricing/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ai-pricing", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
ai-pricing- GitHub stars
- 7k
- Token cost
- ~3.6k tokens
- SKILL.md length
- 1,519 words
- Files
- 3 (incl. references)
- Skills in repo
- 74
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Helps founders and product teams choose a charge metric, shape pricing tiers and set margin targets for AI products whose compute costs rise with usage.
- Choosing between per-token, per-task and per-outcome billing for an AI feature
- SKILL.md covers Before Starting, The Three Charge Metrics, Three Product Archetypes and… and Hybrid Pricing Model Design, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Designing pricing tiers and packaging for an AI-native product
What it does
The agent acts as a pricing strategist for AI products. Before it recommends anything, it asks what is being priced (a copilot, an agent, an AI-enabled service or an API), who the buyer is, what the current pricing looks like, which models and token volumes drive cost, and how the product is sold.
The central step is picking one of three charge metrics: consumption (tokens, calls, credits), workflow (an automation run, an agent task, a processed document) or outcome (a resolved ticket, a qualified lead). A table sets out what each one bills for, when it fits and what to watch for, and a decision framework walks through the choice. An implementation guide and a quick-reference sheet ship as reference files.
The description adds per-seat and usage-based models, bring-your-own-key setups, tier design and margin management. The scope is pricing strategy only, not technical implementation or code review.
When your agent uses it
- Choosing between per-token, per-task and per-outcome billing for an AI feature
- Designing pricing tiers and packaging for an AI-native product
- Checking whether variable model costs leave a workable margin
- Moving an AI product off per-seat or flat-rate pricing
Example prompts
- “We built an AI support agent. Should we charge per seat, per conversation or per resolved ticket?”
- “Help me design three pricing tiers for our document-processing copilot.”
- “Inference costs are eating the margin on our free plan; suggest a pricing model that fits.”
What it can do on your machine
Read from SKILL.md and the folder at commit 6df68d5. 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
AI Product Pricing loads about 3.6k tokens when it runs, and up to ~8.6k if it reads all its reference files. Until then it costs about 131 tokens; SKILL.md has 1,519 words of instructions outside code blocks.
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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,519 words (~3,641 tokens).
“You are an AI product pricing strategist. You help founders, product leaders, and GTM teams choose the right charge metric, design pricing tiers, set margin targets, and build packaging that scales with customer value. You ground every recommendation in the…”
- name
- ai-pricing
- metadata.original_author
- Chad Boyda / agent-gtm-skills
- metadata.modified_by
- Felipe Rodrigues - github.com/felipfr
- metadata.source
- https://github.com/chadboyda/agent-gtm-skills
- metadata.version
- 1.0.0
Files
SKILL.md and 2 other files (references) in packages/skills-catalog/skills/(gtm)/ai-pricing of tech-leads-club/agent-skills.
- SKILL.md
- references/implementation-guide.md
- references/quick-reference.md
Open the folder on GitHubat commit 6df68d5
Compare with similar skills
AI Product 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| AI Product Pricing this skilltech-leads-club/agent-skills | 7k | — | ~3.6k | Automated safety check: Pass | Custom licence | |
| Apiclaw AnalysisLeoYeAI/openclaw-master-skills | 2.2k | — | ~5.1k | Automated safety check: Pass | MIT | |
| Apiclaw AnalysisLeoYeAI/openclaw-master-skills | 2.2k | — | ~4.3k | Automated safety check: Pass | MIT | |
| Partnerships EcosystemLeoYeAI/openclaw-master-skills | 2.2k | — | ~5k | Automated safety check: Pass | MIT | |
| Ecommerce Business Plannexscope-ai/eCommerce-Skills | 1.1k | — | ~601 | Automated safety check: Pass | MIT | |
| C-Level Executive Squadohmyjahh/xquads-squads | 277 | — | ~737 | Automated safety check: Pass | MIT |
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Related
Categories
Questions about AI Product Pricing
What does AI Product Pricing do?
Helps founders and product teams choose a charge metric, shape pricing tiers and set margin targets for AI products whose compute costs rise with usage. The agent acts as a pricing strategist for AI products. Before it recommends anything, it asks what is being priced (a copilot, an agent, an AI-enabled service or an API), who the buyer is, what the current pricing looks like, which models and token volumes drive cost, and how the product is sold.
When should I use AI Product Pricing?
AI Product Pricing fits situations like: choosing between per-token, per-task and per-outcome billing for an AI feature; designing pricing tiers and packaging for an AI-native product; checking whether variable model costs leave a workable margin; moving an AI product off per-seat or flat-rate pricing.
How do I install AI Product Pricing in Claude Code?
Run `npx skills add tech-leads-club/agent-skills --skill ai-pricing -a claude-code`. Or copy the skill folder (packages/skills-catalog/skills/(gtm)/ai-pricing in tech-leads-club/agent-skills) into .claude/skills/ai-pricing in your project. Claude Code loads it when a task matches its description.
How do I install AI Product Pricing in Codex?
Run `npx skills add tech-leads-club/agent-skills --skill ai-pricing -a codex`. Or copy the skill folder (packages/skills-catalog/skills/(gtm)/ai-pricing in tech-leads-club/agent-skills) into .agents/skills/ai-pricing in your project. Codex loads it when a task matches its description.
Can I use AI Product 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 tech-leads-club/agent-skills --skill ai-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/ai-pricing, .gemini/skills/ai-pricing, .github/skills/ai-pricing and .opencode/skills/ai-pricing in your project.
What does AI Product Pricing need to run?
SKILL.md names no scripts, command-line tools or credentials: AI Product Pricing is instructions for the agent only.
Does AI Product 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 AI Product 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 AI Product Pricing use?
AI Product Pricing has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does AI Product Pricing use?
About 3.6k tokens (SKILL.md is roughly 15k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.9k tokens, read only when the agent opens those files.
What are the alternatives to AI Product Pricing?
Skills that share tags, products or a category with AI Product Pricing: Apiclaw Analysis (LeoYeAI/openclaw-master-skills, 2.2k stars), Apiclaw Analysis (LeoYeAI/openclaw-master-skills, 2.2k stars), Partnerships Ecosystem (LeoYeAI/openclaw-master-skills, 2.2k stars) and Ecommerce Business Plan (nexscope-ai/eCommerce-Skills, 1.1k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains AI Product Pricing?
tech-leads-club (a GitHub organization) maintains it in tech-leads-club/agent-skills, which has 7,045 GitHub stars. The repository holds 74 skills in this directory. The repository was last updated on October 9, 2026.
Source: tech-leads-club/agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.