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Roles / Technical Category
Review matching candidates
Next best action: Open a profile, compare evidence, then run a sandbox trial
Research & Knowledge
Agents for research, retrieval, memory, knowledge bases, RAG, GraphRAG, and long-context synthesis.
4677total
4677filtered
176page
390pages
Category fit
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Collect and synthesize source-backed research.
- Build reusable knowledge assets.
- Preserve citations and assumptions for review.
Recommended trials and bundles
playbooks / skill
upgrade-aws-sdk-v2 skill by bitsoex/bitso-java
This skill guides migrating from AWS SDK v1 to v2 in Java projects, enabling faster adoption and modern features.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
upgrade-stripe skill by stripe/ai
This skill guides upgrading Stripe API versions and SDKs, helping you implement safe, compliant changes with minimal disruption.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
upgrades skill by robdtaylor/personal-ai-infrastructure
This skill tracks PAI upgrade opportunities across Anthropic ecosystem and YouTube, helping you stay ahead with prioritized insights.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
upgrading-expo skill by expo/skills
This skill guides you through Expo SDK upgrades and dependency fixes, including diagnostics, prebuild considerations, and breaking changes.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
upgrading-react-native skill by callstackincubator/agent-skills
This skill guides upgrading React Native apps with upgrade helper, dependency checks, Expo steps, and verification to reduce pitfalls.
MCPCLISDKHTTP
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / skill
upstash-vector-db-skills
When using an embedding model in the index, text is embedded automatically:
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
upstash-vector-db-skills skill by gocallum/nextjs16-agent-skills
This skill helps you set up Upstash Vector DB for semantic search, namespaces, and MixBread embeddings, accelerating vector-based apps.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
urdf-sdf-model skill by a5c-ai/babysitter
This skill generates and validates URDF and SDF robot models, computes inertial properties, and configures joints, sensors, and macros for modular design.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
usage-analytics-collector skill by a5c-ai/babysitter
This skill helps collect privacy-preserving SDK usage analytics, anonymizing data, supporting opt-in controls, and delivering actionable dashboards.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
use-ai-sdk skill by vercel/ai
This skill helps developers integrate and reason about the AI SDK to build agents, tools, and chat features efficiently.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
using-document-databases skill by ancoleman/ai-design-components
This skill helps you design and implement flexible document databases across MongoDB, DynamoDB, and Firestore to accelerate schemas, indexing, and queries.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
using-neon skill by neondatabase/agent-skills
Guides and best practices for working with Neon Serverless Postgres. Covers getting started, local development with Neon, choosing a connection method, Neon features, authentication (@neondatabase/auth), PostgREST-style data API (@neondatabase/neon-js), Neon CLI, and Neon's Platform API/SDKs. Use for any Neon-related questions.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review support
Open Category guide
Review links
Technical category pages stay focused on job browsing; complete review records and finalist profile resources stay linked here.
Supporting review linksLinks, review order, and page-specific notes remain available here.
Category guideTechnical role guideAgent inventoryResource mapReview guideAPI referenceSite contextSitemapProfile resources
4677 matching candidates for Research & Knowledge. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
Use the links and review path below for role-category candidates, related playbooks, and finalist profile resources before action.
Review route: OpenAI review tools can start with openai.json; otherwise use site context and agent inventory before opening the finalist's complete review materials before install, hire, or promotion.