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.
npx skills add TIKAZI/TIKAZ-AI-Skills --skill product-strategygit clone --depth 1 https://github.com/TIKAZI/TIKAZ-AI-SkillsWrote 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.
[](https://agentmods.dev/skills/tikazi/tikaz-ai-skills/product-strategy)<a href="https://agentmods.dev/skills/tikazi/tikaz-ai-skills/product-strategy"><img src="https://agentmods.dev/badge/skills/tikazi/tikaz-ai-skills/product-strategy/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.
<a href="https://agentmods.dev/skills/tikazi/tikaz-ai-skills/product-strategy"><img src="https://agentmods.dev/badge/skills/tikazi/tikaz-ai-skills/product-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00044 | $0.00265 |
| Opus 5 | $0.00022 | $0.00133 |
| Sonnet 5 | $0.00009 | $0.00053 |
| Haiku 4.5 | $0.00004 | $0.00026 |
Grade A, and why
product-strategy 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 12d 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.
What it actually says
Product Strategy
This clean-room TIKAZ Edition is designed, integrated, independently refactored, and continuously maintained by TIKAZ.
Inputs and workflow
Accept the target user, problem, desired outcome, constraints, alternatives, available evidence, business model, time horizon, and decision metric. Separate facts from assumptions, compare a small set of viable directions, test positioning and risks, and recommend one direction with measurable next experiments.
Output contract
Return the problem framing, evidence and assumptions, alternatives, recommendation, tradeoffs, prioritization, success metrics, experiment plan, and decision risks.
Validation and fallback
Trace important market claims to dated sources or label them assumptions. If customer or usage evidence is missing, recommend a validation experiment rather than presenting a forecast as fact.
Example and limits
Use product-strategy to compare these three product directions and recommend one based on user value, evidence, effort, differentiation, and measurable validation.
This Skill supports decisions; it does not guarantee adoption, revenue, or market fit.
What ships with it
1 file 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.
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.
- 12d ago First seen · 29 lines · 44 tokens per session scan A 8e6e0ee15708
product-strategy is a skill published in the GitHub repository TIKAZI/TIKAZ-AI-Skills (6 stars, last pushed 10d ago), licensed MIT. It adds 44 tokens to every session and 265 once invoked, about $0.0002 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 2026-08-31.
Other skills, from other repositories
instructor
Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library.
instructor
Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library.
instructor
Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library.
optimize-claude-opus-5-prompts
Clarify, audit, and rewrite rough or existing prompts for Claude Opus 5 using Anthropic's official prompting guidance. Use when a user asks to optimize, improve, migrate, debug, or design a prompt, system prompt, or agent harness for Claude Opus 5 (claude-opus-5), including requests phrased as Opus 5 prompt…
optimize-claude-fable-5-prompts
A prompt-editing method for Claude Fable 5, an AI model. It turns rough or existing instructions into clearer prompts while keeping the original goal and important limits.
optimize-gemini-prompts
A prompt-editing skill for clarifying and rewriting prompts intended for Google’s Gemini models.