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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
112page
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
langfuse-sdk-patterns skill by jeremylongshore/claude-code-plugins-plus-skills
This skill helps you implement Langfuse SDK patterns, ensuring proper tracing, robust lifecycles, and idiomatic observability across apps.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
langgraph-multiagent skill by bjornmelin/dev-skills
Architect-level development, audit, and migration of multi-agent systems using LangGraph (v1+) and LangChain (v1+). Use when building or refactoring supervisor/subagent architectures, orchestrator-worker workflows, routing/hand-offs, agentic RAG, memory (short + long-term), state + context engineering, guardrails + human-in-the-loop, MCP tool integration, o...
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
explainx / agent
LangSmith
LangSmith is an all-in-one developer platform for every step of the LLM-powered application lifecycle, whether you’re building with LangChain or not.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
laravel-pro skill by yuniorglez/gemini-elite-core
This skill helps you design scalable Laravel 13 ecosystems with modular monoliths, hexagonal architecture, and high-concurrency patterns for rapid, reliable
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
lbb-my-skill skill by openclaw/skills
This skill provides professional Chinese-English bidirectional translation for technical documentation, ensuring terminology consistency and adherence to
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
league-sdk skill by adrianmg/league-sdk
Build League of Legends apps using league-sdk TypeScript library. Use when working with Riot API, summoner/player lookups, match history, champion mastery, ranked stats, live game spectator, or building LoL Discord bots, websites, or apps.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
learn-cog skill by openclaw/skills
This skill helps you learn any concept by providing five explanatory modes, practice problems, and study materials tailored to your style.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
learning-sdk skill by letta-ai/skills
This skill enables persistent memory in LLM agents using the Learning SDK with a universal 3-line pattern across providers like OpenAI, Claude, and Gemini.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
leetcode-problem-fetcher skill by a5c-ai/babysitter
This skill fetches and parses LeetCode problems with metadata, constraints, hints, and related data to accelerate algorithm practice.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
legal-cog skill by openclaw/skills
This skill helps generate precise legal documents and conduct frontier-level research with CellCog's AI, delivering ready-to-use contracts, policies, and memos.
MCPHTTPCLISDK
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
- Fit
- 66 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
playbooks / skill
letta skill by delorenj/skills
This skill helps you build and debug stateful AI agents with Letta, manage memory, and integrate tools across multi-agent workflows.
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.