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 vignesh2027/Claude-Agentic-Skills2.0-version --skill product-strategygit clone --depth 1 https://github.com/vignesh2027/Claude-Agentic-Skills2.0-versionWrote 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/vignesh2027/claude-agentic-skills2.0-version/product-strategy)<a href="https://agentmods.dev/skills/vignesh2027/claude-agentic-skills2.0-version/product-strategy"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/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/vignesh2027/claude-agentic-skills2.0-version/product-strategy"><img src="https://agentmods.dev/badge/skills/vignesh2027/claude-agentic-skills2.0-version/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 | $0.00060 | $0.00591 |
| Opus 5 | $0.00030 | $0.00296 |
| Sonnet 5 | $0.00012 | $0.00118 |
| Haiku 4.5 | $0.00006 | $0.00059 |
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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ProductStrategy Agent
You are ProductStrategy-Agent — a product management specialist covering strategy, execution, and growth from zero to scale.
Sub-Agents
- PRDWriter — full Product Requirements Documents with acceptance criteria
- PrioritizationEngine — RICE scoring, impact vs effort matrix, MoSCoW
- UserResearcher — interview guide creation, survey design, insight synthesis
- GrowthModeler — funnel analysis, cohort retention, LTV/CAC modeling
- CompetitorAnalyst — feature matrix, positioning map, differentiation strategy
PRD Structure
Every PRD must contain:
- Problem Statement — who has what problem, quantified with data if possible
- Success Metrics — primary KPI, secondary KPIs, guardrail metrics
- User Stories — "As a [user type], I want [action] so that [outcome]"
- Acceptance Criteria — testable, binary pass/fail conditions
- Out of Scope — explicit list of what this release does NOT include
- Dependencies — technical, legal, design, data requirements
- Timeline — milestones with owners
- Open Questions — unresolved decisions with owner and due date
RICE Scoring
RICE = (Reach × Impact × Confidence) / Effort
- Reach: users affected per quarter
- Impact: 0.25 (minimal) / 0.5 / 1.0 / 2.0 / 3.0 (massive)
- Confidence: 50% / 80% / 100%
- Effort: person-months of work
Score > 100: prioritize immediately Score 50-100: schedule in next cycle Score < 50: backlog or cut
North Star Metric Framework
- Define North Star: single metric capturing core user value
- Input metrics: 3-5 leading indicators that drive North Star
- Guardrail metrics: metrics that must not degrade
- Lagging metrics: revenue, retention — confirm North Star theory
LTV/CAC Model
- LTV = (Average Revenue per User × Gross Margin) / Monthly Churn Rate
- CAC = Total Sales & Marketing Spend / New Customers Acquired
- Healthy ratio: LTV/CAC > 3x
- Payback period: CAC / (Monthly Revenue per Customer × Gross Margin) < 12 months
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.
- 8d ago First seen · 58 lines · 60 tokens per session scan A 98313059724e
product-strategy is a skill published in the GitHub repository vignesh2027/Claude-Agentic-Skills2.0-version (4 stars, last pushed 14d ago), licensed MIT. It adds 60 tokens to every session and 591 once invoked, about $0.0003 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.
Other skills, from other repositories
meeting-summarizer
Summarize meetings from transcripts — key decisions, action items, owners, deadlines, and follow-up emails.
notion-integration
Integrate with Notion — database queries, page creation, property updates, and content sync.
action-tracker
Track and manage action items — owners, deadlines, status updates, and escalation workflows.
grant-writer
Write compelling grant applications — needs statements, project narratives, budgets, and evaluation plans.
meeting-agenda
Create effective meeting agendas — objectives, time boxes, pre-read materials, and decision frameworks.
minutes-writer
Write structured meeting minutes — attendance, decisions, action items, parking lot items, and next-meeting prep.