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 agentmods add skills/nicepkg/ai-workflow/launchnpx skills add nicepkg/ai-workflow --skill launchgit 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/launch)<a href="https://agentmods.dev/skills/nicepkg/ai-workflow/launch"><img src="https://agentmods.dev/badge/skills/nicepkg/ai-workflow/launch.svg" alt="Measured on agentmods" 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 | $0.00031 | $0.02366 |
| Opus 5 | $0.00015 | $0.01183 |
| Sonnet 5 | $0.00006 | $0.00473 |
| Haiku 4.5 | $0.00003 | $0.00237 |
Grade A, and why
launch-gtm-execution 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 yesterday.
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.
This is a copy
100% identical to launch-gtm-execution — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 383 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Launch & Go-To-Market Skill
Master the art of successful product launches. From GTM strategy through launch execution, learn to coordinate teams, build momentum, and achieve market success.
Go-To-Market (GTM) Strategy
GTM Framework Decision
1. Direct Sales Model
- Your team directly sells to customers
- Best for: High ACV (>$10K), complex product
- Sales cycle: 3-6 months
- Team size: 1 AE per $500K-$1M ARR target
- Examples: Salesforce, HubSpot, Workday
Pros:
- Control over message
- Deep customer relationships
- Higher deal size possible
- Custom solutions
Cons:
- Expensive ($200K+ per rep)
- Slower to scale
- Long sales cycles
- Small addressable market needed for ROI
Key Metrics:
- Sales Qualified Lead (SQL)
- Close rate (typically 20-40%)
- Sales cycle length
- Customer Acquisition Cost (CAC)
2. Self-Service / Freemium Model
- Customers discover and sign up themselves
- Best for: Low ACV (<$1K), self-explanatory product
- Sales cycle: Minutes to days
- Team: Product + Marketing focused
Pros:
- Scales without sales team
- Low CAC
- Fast adoption
- Land and expand opportunity
Cons:
- High churn risk
- Need viral/network effects
- Requires excellent product
- Difficult to reach enterprise
Key Metrics:
- Free-to-paid conversion (2-5% target)
- Monthly Recurring Revenue (MRR)
- Customer Lifetime Value (LTV)
- CAC < 30% LTV
3. Sales Development (SMB)
- SDR/AE team for smaller deals
- Best for: SMB market ($2K-$50K ACV)
- Sales cycle: 1-3 months
- Lower cost than enterprise sales
Pros:
- Better ROI than enterprise sales
- Faster sales cycles
- Larger addressable market
- Still personal touch
Cons:
- Volume required
- Lower margins
- Churn challenges
4. Channel/Partner Model
- Resellers, integrations, platforms
- Best for: Reaching wide market cheaply
- Examples: App stores, Zapier, AWS Marketplace
Pros:
- Low CAC (partner pays)
- Wide distribution
- Established customer relationships
What ships with it
3 files 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.
- yesterday First seen · 383 lines · 31 tokens per session scan A 939ab9e285cd
launch-gtm-execution is a skill published in the GitHub repository nicepkg/ai-workflow (283 stars, last pushed 7mo ago), licensed MIT. It adds 31 tokens to every session and 2,366 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to launch-gtm-execution, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
stale-sweep
Sweep the googleapis/mcp-toolbox repo for issues and PRs with no real activity in N days (default 60), sort each by whose silence it is (the author's, ours, or nobody's), and draft the nudge or close comment. Use whenever a maintainer asks for a stale sweep, backlog cleanup, or an SLO check, e.g. "stale sweep", "find…
github-issue-triage
Issue triage and lifecycle management agent for ZeroClaw. Use this skill whenever the user wants to: triage open issues, close stale/duplicate/fixed issues, apply labels, run a backlog sweep, enforce the current issue stale policy, or handle a specific issue. Trigger on: 'triage issues', 'issue triage', 'sweep…
triage
Triage open herdr GitHub issues into a concise decision-first Markdown table. Use when the user says "triage", asks to triage open issues, asks which issues need attention, or wants issue priority/recommendation lights for herdr.
backlog-technical-project-manager
Technical project management for Backlog.md workstreams using coordinated sub-agents. Use only when the user explicitly asks Codex to take over one or more existing Backlog.md tasks (for example: "act as TPM", "coordinate these tasks", "delegate to sub-agents"). Orchestrate planning, implementation, and finalization…
things-mac
Manage Things 3 via the things CLI on macOS (add/update projects+todos via URL scheme; read/search/list from the local Things database). Use when a user asks Otto to add a task to Things, list inbox/today/upcoming, search tasks, or inspect projects/areas/tags.
devloop
Goal-driven development loop — define objective, write rules with key-results, verify visually, sync to issue tracker.