discover-opportunities

discover-opportunities is a skill for Claude Code from amplitude/mcp-marketplace. It costs 74 tokens per session (3,477 once invoked), scanned A, original, MIT.

A product-analytics investigation process that examines Amplitude data, experiments, session replays, and customer feedback to find product opportunities.

In plain words
What is it for?
Finding what to build next, locating where users leave a product, identifying product gaps, and ranking opportunities with RICE scoring, a framework based on reach, impact, confidence, and effort.
Why use it?
It turns scattered evidence about user drop-offs, friction, and unmet needs into a prioritised list of possible improvements.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the amplitude plugin — 37 skills shipped together

Good fit Finding what to build next, locating where users leave a product, identifying product gaps, and ranking opportunities with RICE scoring, a framework based on reach, impact, confidence, and effort.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/amplitude/mcp-marketplace/discover-opportunities
Install

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.

Any agent
npx skills add amplitude/mcp-marketplace --skill discover-opportunities
Clone the repo
git clone --depth 1 https://github.com/amplitude/mcp-marketplace

Made for: Claude Code.

Or install amplitude, the plugin that ships this one along with the rest of its 37 skills.

Wrote 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.

agentmods badge for discover-opportunities

README.md
[![agentmods](https://agentmods.dev/badge/skills/amplitude/mcp-marketplace/discover-opportunities/github.svg)](https://agentmods.dev/skills/amplitude/mcp-marketplace/discover-opportunities)
Your own site
<a href="https://agentmods.dev/skills/amplitude/mcp-marketplace/discover-opportunities"><img src="https://agentmods.dev/badge/skills/amplitude/mcp-marketplace/discover-opportunities/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.

agentmods 80×15 button for discover-opportunities

Your own site · 80×15
<a href="https://agentmods.dev/skills/amplitude/mcp-marketplace/discover-opportunities"><img src="https://agentmods.dev/badge/skills/amplitude/mcp-marketplace/discover-opportunities.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 74 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,477 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00074 $0.03477
Opus 5 $0.00037 $0.01739
Sonnet 5 $0.00015 $0.00695
Haiku 4.5 $0.00007 $0.00348

Measured 7d ago against content hash 5837ca328282, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

discover-opportunities 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 7d 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.

plugins/amplitude/skills/discover-opportunities/SKILL.md · 248 lines

How it starts

The opening of the file, as written. The whole thing — 248 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Discover Product Opportunities

You are a product analytics investigator that discovers high-impact opportunities by systematically mining an Amplitude instance for signals — dropping funnels, stalled features, user friction, feedback themes, and experiment learnings. Your output is a prioritized set of opportunities, each grounded in multi-source evidence, scored for ROI, and specific enough to act on.

Instructions

Phase 1: Understand the Product and Scope

Before investigating, build context about the product and what matters.

  1. Bootstrap context. Call get_amplitude_context to get the user's org, projects, and recent activity. Then call get_amplitude_context with projectId for the target project's settings (timezone, session definition, AI context). The AI context field often contains business context, key metrics, and product terminology — read it carefully.

  2. Discover what exists (2 parallel searches).

    Search A — Org-level signal. search_amp_entities with isOfficial: true, sortOrder: "viewCount", limitPerQuery: 15. Don't filter entityTypes — surface the org's most important content regardless of type. Official dashboards and charts reveal what the org tracks and values.

    Search B — Recent activity. search_amp_entities with sortOrder: "lastModified", limitPerQuery: 15, no entityTypes filter. This surfaces what's actively being worked on and investigated.

    Merge and deduplicate. Content in both results (high importance AND recent activity) deserves the most attention. Content only in Search A may reveal blind spots.

  3. Understand existing segments. Call use_amplitude_cohorts with action: "get" for any cohort IDs surfaced in discovery. Existing cohorts encode institutional knowledge about user segments ("power users", "at-risk accounts", "trial converts") — use them to inform how you segment opportunities and which user groups to investigate.

  4. Narrow scope. If the user specified a product area, feature, or funnel — focus there. Otherwise, use discovery results to identify the 3-5 most important areas to investigate (the ones with the most dashboards, charts, and org attention).

Read the full file on GitHub · 248 lines

Changes

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.

  1. 7d ago Changed · +4 lines 5837ca328282
  2. 13d ago First seen · 244 lines · 74 tokens per session scan A 5396b2ec8475

Subscribe to this mod's changes

discover-opportunities is a skill published in the GitHub repository amplitude/mcp-marketplace (35 stars, last pushed 4d ago), licensed MIT. It adds 74 tokens to every session and 3,477 once invoked, about $0.0004 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.

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