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 nicepkg/ai-workflow --skill go-to-market-plannergit clone --depth 1 https://github.com/nicepkg/ai-workflowWrote 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/nicepkg/ai-workflow/go-to-market-planner)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/go-to-market-planner"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/go-to-market-planner/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/nicepkg/ai-workflow/go-to-market-planner"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/go-to-market-planner.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 | $0.00041 | $0.01769 |
| Opus 5 | $0.00020 | $0.00885 |
| Sonnet 5 | $0.00008 | $0.00354 |
| Haiku 4.5 | $0.00004 | $0.00177 |
Grade A, and why
Go-to-Market-Planner 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 10d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- Go-to-Market Planner — 100% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 306 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Go-to-Market-Planner
Plan and execute successful product launches.
Core Principle
Launch is a campaign, not an event. Build momentum before launch, peak at launch, sustain after launch.
5-Phase GTM Strategy
Phase 1: Market Positioning
Goal: Define how product fits in market landscape
Positioning Statement:
For [target customer]
Who [customer need/problem]
[Product name] is a [product category]
That [key benefit/differentiation]
Unlike [competitors]
Our product [unique value]
Competitive Analysis:
| Competitor | Strengths | Weaknesses | Our Advantage |
|---|---|---|---|
| Competitor A | Feature X | Price | Better UX |
Validation:
- Target customer clearly defined
- Differentiation identified
- Positioning tested with 5+ customers
Phase 2: Messaging & Content
Goal: Create compelling launch messaging
Message Hierarchy:
- Headline: Core benefit in 5-10 words
- Sub-headline: How it works or who it's for (1 sentence)
- 3 Key Benefits: What users gain (feature → benefit)
- Social Proof: Testimonials, case studies, logos
- Call-to-Action: Clear next step
Content Types:
- Launch blog post
- Product demo video (2-3 min)
- Landing page
- Email announcement
- Social media posts (5-10 ready)
- Press release (if targeting media)
Validation:
- Messaging tested with target customers
- Content created 2 weeks before launch
- CTAs clear and trackable
Phase 3: Channel Strategy
Goal: Identify where to reach target customers
Channel Options:
Owned Channels (free, full control):
- Email list (existing customers/subscribers)
- Blog and SEO
- Social media (Twitter, LinkedIn)
- YouTube
Earned Channels (free, limited control):
- Press and media (TechCrunch, Product Hunt)
- Influencers and partners
- Community forums (Reddit, Hacker News)
- Word of mouth
Paid Channels (cost, full control):
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.
- 10d ago First seen · 306 lines · 41 tokens per session scan A 98ff12b8f87d
Go-to-Market-Planner is a skill published in the GitHub repository nicepkg/ai-workflow (283 stars, last pushed 7mo ago), licensed MIT. It adds 41 tokens to every session and 1,769 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 2026-08-30.
Other skills, from other repositories
html-artifacts
Author the HTML for a plan artifact, dashboard iframe, or Slack attachment — structure, design plan, available runtime, theming, and craft. Read this before writing HTML for saveplan, outputiframe, or slackattachhtml.
hive.slack-notifications-setup
Set up a Slack notification channel (Sentinel) for a colony by driving the browser — reuse or create the "Hive Sentinel" Slack app from a JSON manifest, install it, capture the bot + app tokens, create/select the channel via the Slack API, and turn Sentinel on so the colony can ping the user on Slack and accept…
hive.pdf
Read, write, merge, split, rotate, watermark, encrypt, and OCR PDF files using Python (pypdf, pdfplumber, reportlab, pypdfium2) and command-line tools (poppler-utils, qpdf). Use when the user asks to extract text/tables/images from a PDF, create or modify a PDF, combine or split PDFs, OCR a scanned PDF…
hive.chart-creation-foundations
Required reading whenever any chart tool is available. Teaches the one-tool embedding contract (call chartrender → live chart appears in chat AND a downloadable PNG lands in the queen session dir), the ECharts (data viz) vs Mermaid (structural diagrams) decision, the BI/financial-grade aesthetic baseline (no…
browser-edge-cases
SOP for debugging browser automation failures on complex websites. Use when browser tools fail on specific sites like LinkedIn, Twitter/X, SPAs, or sites with Shadow DOM.
baby-sit
Monitor a GitHub pull request until CI is green, diagnose failures, and rerun only evidence-backed flaky GitHub Actions jobs.