| name | featbit-documentation |
| description | FeatBit documentation router that provides likely relevant docs.featbit.co URLs when other FeatBit skills cannot fully answer. Use when user asks about FeatBit features, concepts, deployment, SDKs, API, integrations, or architecture and the response should point to official documentation for deeper detail. Do not use when another FeatBit skill already provides a complete answer. |
| license | MIT |
| metadata | {"author":"FeatBit","version":"2.0.0","category":"platform"} |
FeatBit Documentation Router
This skill is a fallback for FeatBit questions. Use it only after other FeatBit skills do not provide a complete answer. Its job is to return a short list of likely relevant documentation URLs so the agent can open those pages and extract the final details.
When to Use This Skill
Activate this skill when:
- A FeatBit question is not fully answered by more specific FeatBit skills.
- The request requires authoritative details from FeatBit docs.
- The best next step is to point the agent to official documentation URLs.
Do not use this skill when another FeatBit skill already provides a full answer.
Output Rules (Critical)
- Return URLs only (plus a brief 1-line rationale per URL).
- Prefer docs.featbit.co URLs from the documentation index.
- Provide 3–7 URLs max, ranked by relevance.
- If a GitHub repo is more authoritative than docs, include it in addition to docs URLs.
Quick Navigation Guide
FeatBit documentation is organized into 12 main sections. Use the topic keywords below to identify relevant areas, then consult the complete index for specific URLs.
Complete Documentation Index: references/complete-documentation-index.md
Contains all 75 documentation URLs with detailed summaries. Reference this when you need specific page URLs.
Documentation Topics
-
Getting Started (https://docs.featbit.co/getting-started)
- SDK integration, flag creation tutorials, interactive demos
- How-to guides: testing in production, remote config, beta testing, entitlement, A/B testing
-
Feature Flags (https://docs.featbit.co/feature-flags)
- Flag creation, variations, lifecycle management
- User targeting: rules, percentage rollouts, individual targeting
- User segments: standard, shareable, global
- Organizing: projects, environments, flag lists
-
Experimentation (https://docs.featbit.co/experimentation)
- A/B testing, experiment creation, metric types
- Statistical analysis, result interpretation
-
Relay Proxy (https://docs.featbit.co/relay-proxy)
-
API Documentation (https://docs.featbit.co/api-docs)
- REST API authentication, endpoints, data hierarchy
- Flag Evaluation API (client-side vs server-side)
-
Data Import/Export (https://docs.featbit.co/data-import-and-export)
- End users, feature flags, segments
- Analytics data export (ClickHouse/MongoDB)
-
IAM (https://docs.featbit.co/iam)
- Teams, groups, policies
- Role-based access control (RBAC)
-
Installation (https://docs.featbit.co/installation)
- Deployment options: Standalone, Standard, Professional
- Docker Compose, Terraform AWS, custom infrastructure
-
Integrations (https://docs.featbit.co/integrations)
- Authentication: API tokens, SSO (Okta, KeyCloak, Auth0)
- Observability: OpenTelemetry, New Relic, Grafana, DataDog
- Chat apps: Slack
- Analytics: GrowthBook
-
Licenses (https://docs.featbit.co/licenses)
-
Tech Stack (https://docs.featbit.co/tech-stack)
- Architecture, services (UI/API/Evaluation/Analytics)
- Infrastructure components, data flows, performance benchmarks
-
GitHub Repositories
Usage Example
User query: "How do I gradually roll out a feature to 20% of users?"
Your response:
Here are the relevant documentation pages:
1. https://docs.featbit.co/feature-flags/targeting-users-with-flags/percentage-rollouts - Primary guide for percentage-based rollouts
2. https://docs.featbit.co/feature-flags/targeting-users-with-flags/targeting-rules - Understanding targeting rules structure
3. https://docs.featbit.co/feature-flags/create-flag-variations - How to set up flag variations
These pages explain how to enable percentage rollouts within targeting rules to serve features to a specified percentage of users with consistent assignment.