Claude Skills is a library of reusable capability packages that give Claude task-specific instructions, terminology, and output formats for building, launching, operating, and growing websites and brands. People working on branding, design, content, SEO, development, operations, growth, or research can use the skills across different website stacks. The catalogue contains selected skills and plugins from the library.
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 rampstackco/claude-skills --skill experimentation-platform-orchestratorgit clone --depth 1 https://github.com/rampstackco/claude-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/rampstackco/claude-skills/experimentation-platform-orchestrator)<a href="https://agentmods.dev/skills/rampstackco/claude-skills/experimentation-platform-orchestrator"><img src="https://agentmods.dev/badge/skills/rampstackco/claude-skills/experimentation-platform-orchestrator/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/rampstackco/claude-skills/experimentation-platform-orchestrator"><img src="https://agentmods.dev/badge/skills/rampstackco/claude-skills/experimentation-platform-orchestrator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00158 | $0.05354 |
| Opus 5.5 | $0.00063 | $0.02142 |
| Sonnet 5.5 | $0.00032 | $0.01071 |
| Haiku 4.5 | $0.00016 | $0.00535 |
Grade A, and why
experimentation-platform-orchestrator 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 1mo 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 — 287 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Experimentation Platform Orchestrator
A senior product and engineering leader's playbook for making the experimentation platform decision and recovering from making it wrong.
Picking an experimentation platform is one of those decisions that looks easy at the start and compounds for years afterward. The wrong choice costs you in lost experiments (because the team avoids the painful workflow), in cost (because the wrong pricing model penalizes your usage shape), in vendor lock-in (because migration is real engineering work, not a config change), and in cultural drift (because the platform's defaults shape what your team thinks experimentation is).
This skill is the discipline that makes the decision well the first time and the migration plan when you didn't.
When to use this skill: choosing a platform from scratch, evaluating whether to switch, deciding whether to consolidate from multi-platform to single, or planning a migration that has already been approved.
What this skill is for
This skill spans platform selection, multi-platform decisions, migration planning, and governance setup. It does not cover experiment design (use experiment-design), result interpretation (use experimentation-analytics), or feature flag operations (use feature-flagging). Pair this skill with the relevant integrations microsite when you need platform-specific MCP details.
The audience is a PM, engineering leader, or data lead who is making the decision or recovering from a previous one. The voice is decisive. There is no "it depends, evaluate them all yourself." The decision space has real shape, and a senior advisor can map your situation to a defensible answer in an afternoon.
The 7 considerations for the platform decision
Every platform evaluation walks the same seven questions. Answer them honestly first, then read the per-platform profiles, then consult the decision matrix. The order matters: data architecture and statistical rigor are foundational; the rest are layered on top.
What ships with it
8 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.
- README.md 378 B
- references/common-mistakes.md 8.8 KB
- references/cost-and-pricing-models.md 7.9 KB
- references/governance-and-team-setup.md 7.4 KB
- references/mcp-capability-comparison.md 5.9 KB
- references/migration-playbook.md 8.0 KB
- references/multi-platform-orchestration.md 7.0 KB
- references/platform-decision-matrix.md 6.4 KB
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.
- 1mo ago First seen · 287 lines · 158 tokens per session scan A 75e8c1452c1b
experimentation-platform-orchestrator is a skill published in the GitHub repository rampstackco/claude-skills (1,001 stars, last pushed yesterday), licensed MIT. It adds 158 tokens to every session and 5,354 once invoked, about $0.0006 per session on Opus 5.5. 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.
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