platform-product-manager
Expert platform and API product management guidance for developer-focused products. Use when planning API product strategy, designing APIs, improving developer experience (DX), creating developer documentation, building SDKs, planning API versioning and deprecation, building developer communities, creating integration marketplaces, or measuring platform health. Covers REST, GraphQL, webhooks, and platform ecosystems.
What this skill does
# Platform Product Manager
Strategic product management expertise for API-first and developer-focused platforms — from API design and developer experience to ecosystem building and platform metrics.
## Philosophy
Great platform products aren't about features. They're about making developers **successful**.
The best API and platform products:
1. **Developer experience is product experience** — DX is your primary differentiator
2. **APIs are user interfaces** — Design them with the same care as visual UIs
3. **Documentation is product** — Great docs reduce support, increase adoption, drive success
4. **Ecosystem multiplies value** — Your integrations make your platform stickier
## How This Skill Works
When invoked, apply the guidelines in `rules/` organized by:
- `api-*` — API design principles, standards, and patterns
- `dx-*` — Developer experience, onboarding, and success
- `docs-*` — Developer documentation strategy and standards
- `sdk-*` — SDK and library strategy
- `versioning-*` — API versioning, deprecation, and migration
- `community-*` — Developer community and ecosystem building
- `marketplace-*` — Integration marketplace and partner strategy
- `metrics-*` — Platform health and success metrics
## Core Frameworks
### Platform Maturity Model
| Stage | Focus | Key Metrics | Team Structure |
|-------|-------|-------------|----------------|
| **Foundation** | Core API, basic docs | API uptime, error rates | PM + Engineers |
| **Growth** | DX, SDKs, onboarding | Time-to-first-call, activation | + DevRel, DX engineers |
| **Scale** | Ecosystem, marketplace | Integration count, partner revenue | + Partner team |
| **Platform** | Network effects, flywheel | Platform GMV, ecosystem value | Full platform org |
### The Developer Journey
```
┌─────────────┐ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐
│ DISCOVER │ → │ EVALUATE │ → │ ADOPT │ → │ EXPAND │
│ │ │ │ │ │ │ │
│ - Search │ │ - Docs │ │ - Signup │ │ - More APIs │
│ - Content │ │ - Sandbox │ │ - First call│ │ - Higher │
│ - Referral │ │ - Pricing │ │ - Use case │ │ volume │
│ │ │ │ │ solved │ │ - Referral │
└─────────────┘ └─────────────┘ └─────────────┘ └─────────────┘
```
### API Design Hierarchy
```
┌─────────────────┐
│ CONSISTENCY │ ← Predictable patterns
├─────────────────┤
│ SIMPLICITY │ ← Easy to understand
├─────────────────┤
│ DISCOVERABILITY│ ← Self-documenting
├─────────────────┤
│ RELIABILITY │ ← Stable and trustworthy
├─────────────────┤
│ PERFORMANCE │ ← Fast and efficient
└─────────────────┘
```
### Developer Success Metrics Stack
```
┌─────────────────────────────────────────────────────────────────┐
│ BUSINESS OUTCOMES │
│ Revenue, Retention, Net Dollar Retention │
├─────────────────────────────────────────────────────────────────┤
│ DEVELOPER SUCCESS │
│ Active Developers, API Calls, Use Cases Completed │
├─────────────────────────────────────────────────────────────────┤
│ DEVELOPER EXPERIENCE │
│ Time-to-First-Call, Activation Rate, Support Tickets │
├─────────────────────────────────────────────────────────────────┤
│ PLATFORM HEALTH │
│ Uptime, Latency, Error Rates, Documentation Quality │
└─────────────────────────────────────────────────────────────────┘
```
## Platform Types
| Type | Examples | Key Success Factor | Primary Metric |
|------|----------|-------------------|----------------|
| **Infrastructure API** | Stripe, Twilio, AWS | Reliability + DX | API calls, uptime |
| **Data API** | Plaid, Clearbit | Data quality + freshness | Data coverage |
| **Aggregation Platform** | Zapier, Segment | Integrations + ease | Connections made |
| **Developer Tools** | GitHub, Vercel | Workflow fit + speed | Active projects |
| **Embedded Platform** | Shopify Apps | Distribution + value | Install rate, GMV |
## API Style Comparison
| Style | Best For | Complexity | Flexibility | Caching |
|-------|----------|------------|-------------|---------|
| **REST** | CRUD operations, simple resources | Low | Medium | Excellent |
| **GraphQL** | Complex data fetching, mobile | Medium | High | Manual |
| **gRPC** | Internal services, high perf | High | Low | N/A |
| **Webhooks** | Real-time events, async flows | Low | Medium | N/A |
| **WebSocket** | Bi-directional, real-time | Medium | High | N/A |
## Anti-Patterns
- **API-first without developer-first** — Technically great API that's hard to use
- **Documentation as afterthought** — Docs written after API is "done"
- **Breaking changes without warning** — Surprising developers with incompatibilities
- **Vanity integrations** — Building integrations nobody uses for marketing
- **Platform before product-market fit** — Building ecosystem before core value
- **Ignoring support signals** — Not treating support tickets as product feedback
- **One-size-fits-all SDK** — Same SDK strategy for all languages/use cases
- **Versioning without migration path** — New versions without upgrade guides
Related in Backend & APIs
jfrog
IncludedInteract with the JFrog Platform via the JFrog CLI and REST/GraphQL APIs. Use this skill when the user wants to manage Artifactory repositories, upload or download artifacts, manage builds, configure permissions, manage users and groups, work with access tokens, configure JFrog CLI servers, search artifacts, manage properties, set up replication, manage JFrog Projects, run security audits or scans, look up CVE details, query exposures scan results from JFrog Advanced Security, manage release bundles and lifecycle operations, aggregate or export platform data, or perform any JFrog Platform administration task. Also use when the user mentions jf, jfrog, artifactory, xray, distribution, evidence, apptrust, onemodel, graphql, workers, mission control, curation, advanced security, exposures, or any JFrog product name.
cupynumeric-migration-readiness
IncludedPre-migration readiness assessor for porting NumPy to cuPyNumeric. Use BEFORE substantial porting work begins when the user asks whether code will scale on GPU, whether they should migrate to cuPyNumeric, which NumPy patterns transfer cleanly, what must be refactored before porting, or mentions pre-port assessment, scaling analysis, or refactor planning. Inspect the user's source code, look up NumPy usage, cross-reference the cuPyNumeric API support manifest, and distinguish distributed-scaling-friendly patterns from blockers such as unsupported APIs, scalar synchronization, host round-trips, Python/object-heavy control flow, shape/data-dependent branching, and in-place mutation hazards. Produce a verdict of READY, LIGHT REFACTOR, SIGNIFICANT REFACTOR, or NOT RECOMMENDED, with concrete refactor pointers.
alibabacloud-data-agent-skill
IncludedInvoke Alibaba Cloud Apsara Data Agent for Analytics via CLI to perform natural language-driven data analysis on enterprise databases. Data Agent for Analytics is an intelligent data analysis agent developed by Alibaba Cloud Database team for enterprise users. It automatically completes requirement analysis, data understanding, analysis insights, and report generation based on natural language descriptions. This tool supports: discovering data resources (instances/databases/tables) managed in DMS, initiating query or deep analysis sessions, real-time progress tracking, and retrieving analysis conclusions and generated reports. Use this Skill when users need to query databases, analyze data trends, generate data reports, ask questions in natural language, or mention "Data Agent", "data analysis", "database query", "SQL analysis", "data insights".
token-optimizer
IncludedReduce OpenClaw token usage and API costs through smart model routing, heartbeat optimization, budget tracking, and native 2026.2.15 features (session pruning, bootstrap size limits, cache TTL alignment). Use when token costs are high, API rate limits are being hit, or hosting multiple agents at scale. The 4 executable scripts (context_optimizer, model_router, heartbeat_optimizer, token_tracker) are local-only — no network requests, no subprocess calls, no system modifications. Reference files (PROVIDERS.md, config-patches.json) document optional multi-provider strategies that require external API keys and network access if you choose to use them. See SECURITY.md for full breakdown.
resend-cli
IncludedUse this skill when the task is specifically about operating Resend from an AI agent, terminal session, or CI job via the official resend CLI: installing/authenticating the CLI, sending/listing/updating/cancelling emails, batch sends, domains and DNS, webhooks and local listeners, inbound receiving, contacts, topics, segments, broadcasts, templates, API keys, profiles, or debugging Resend CLI/API failures. Trigger on mentions of Resend CLI, `resend`, `resend doctor`, `resend emails send`, `resend domains`, `resend webhooks listen`, `resend emails receiving`, or agent-friendly terminal automation.
alibabacloud-odps-maxframe-coding
IncludedUse this skill for MaxFrame SDK development and documentation navigation on Alibaba Cloud MaxCompute (ODPS). Helps answer MaxFrame API, concept, official example, and supported pandas API questions; create data processing programs; read/write MaxCompute tables; debug jobs (remote or local); and build custom DPE runtime images. Trigger when users mention MaxFrame, MaxCompute with MaxFrame, ODPS table processing, DPE runtime, MaxFrame docs/examples, DataFrame/Tensor operations, or GPU runtime setup. Works for both English and Chinese queries about Alibaba Cloud data processing with MaxFrame.